From 69ca87ab654e2f820106593b61565dbeddc3cb24 Mon Sep 17 00:00:00 2001
From: riziqhilmi <158025031+riziqhilmi@users.noreply.github.com>
Date: Tue, 19 May 2026 00:39:03 +0700
Subject: [PATCH] Add files via upload

---
 Model Algoritma/DataSynthetic.ipynb           |  572 +++++
 Model Algoritma/Model-Training.ipynb          |  853 +++++++
 Model Algoritma/Untitled.ipynb                |  151 ++
 .../data_final_2000_dengan_label.csv          | 2001 +++++++++++++++++
 ...data_sintetis_2000_dengan_pseudo_label.csv | 2001 +++++++++++++++++
 .../data_sintetis_2000_tanpa_label.csv        | 2001 +++++++++++++++++
 Model Algoritma/encoder_label.pkl             |  Bin 0 -> 559 bytes
 Model Algoritma/encoder_mood.pkl              |  Bin 0 -> 591 bytes
 Model Algoritma/model_harian.pkl              |  Bin 0 -> 3329 bytes
 9 files changed, 7579 insertions(+)
 create mode 100644 Model Algoritma/DataSynthetic.ipynb
 create mode 100644 Model Algoritma/Model-Training.ipynb
 create mode 100644 Model Algoritma/Untitled.ipynb
 create mode 100644 Model Algoritma/data_final_2000_dengan_label.csv
 create mode 100644 Model Algoritma/data_sintetis_2000_dengan_pseudo_label.csv
 create mode 100644 Model Algoritma/data_sintetis_2000_tanpa_label.csv
 create mode 100644 Model Algoritma/encoder_label.pkl
 create mode 100644 Model Algoritma/encoder_mood.pkl
 create mode 100644 Model Algoritma/model_harian.pkl

diff --git a/Model Algoritma/DataSynthetic.ipynb b/Model Algoritma/DataSynthetic.ipynb
new file mode 100644
index 0000000..822c77b
--- /dev/null
+++ b/Model Algoritma/DataSynthetic.ipynb	
@@ -0,0 +1,572 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "c60c52da-31c9-46ff-ab3b-6bc851886f32",
+   "metadata": {},
+   "source": [
+    "## Import Library & Inisialisasi\n",
+    "\n",
+    "Tahap awal dilakukan dengan menyiapkan jumlah data dan memastikan proses random bersifat konsisten menggunakan seed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8bd2bcdb-740c-4e36-8771-b6627052ba6a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "np.random.seed(42)\n",
+    "\n",
+    "n_samples = 2000\n",
+    "data = []"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "60f026f9-5ae5-4157-ad15-64df947842d6",
+   "metadata": {},
+   "source": [
+    "###### pandas → manipulasi data\n",
+    "###### numpy → random data\n",
+    "###### seed(42) → hasil random konsisten (reproducible\n",
+    "\n",
+    "Membuat 2000 data sintetis\n",
+    "Disimpan dalam list sebelum jadi DataFrame"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3a7788f3-c270-48a2-9442-41244e3864b7",
+   "metadata": {},
+   "source": [
+    "### Generate Durasi Tidur, Mood Berdasarkan Tidur, Durasi Belajar Berdasarkan Mood\n",
+    "\n",
+    "Durasi tidur dihasilkan menggunakan distribusi normal dengan nilai rata-rata 6.5 jam, kemudian dibatasi agar tetap berada dalam rentang realistis (3–9 jam).\n",
+    "\n",
+    "Nilai mood ditentukan berdasarkan durasi tidur menggunakan pendekatan probabilitas, sehingga mencerminkan hubungan antara kondisi fisik dan emosional.\n",
+    "\n",
+    "Durasi belajar ditentukan berdasarkan kondisi mood, dengan asumsi bahwa kondisi emosional mempengaruhi tingkat fokus belajar."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "368ae584-e1cc-4b69-ac92-0c14cafab3e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(1, n_samples + 1):\n",
+    "    \n",
+    "    sleep = np.clip(np.random.normal(6.5, 1.5), 3, 9)\n",
+    "    \n",
+    "    if sleep >= 7:\n",
+    "        mood = np.random.choice(\n",
+    "            ['Bagus', 'Lumayan', 'Biasa Saja'],\n",
+    "            p=[0.5, 0.3, 0.2]\n",
+    "        )\n",
+    "    elif sleep >= 5:\n",
+    "        mood = np.random.choice(\n",
+    "            ['Lumayan', 'Biasa Saja', 'Cukup Jenuh'],\n",
+    "            p=[0.4, 0.4, 0.2]\n",
+    "        )\n",
+    "    else:\n",
+    "        mood = np.random.choice(\n",
+    "            ['Biasa Saja', 'Cukup Jenuh', 'Jenuh'],\n",
+    "            p=[0.3, 0.4, 0.3]\n",
+    "        )\n",
+    "\n",
+    "    if mood == 'Bagus':\n",
+    "        duration = np.random.normal(95, 20)\n",
+    "    elif mood == 'Lumayan':\n",
+    "        duration = np.random.normal(75, 20)\n",
+    "    elif mood == 'Biasa Saja':\n",
+    "        duration = np.random.normal(55, 15)\n",
+    "    elif mood == 'Cukup Jenuh':\n",
+    "        duration = np.random.normal(35, 10)\n",
+    "    else:  # Jenuh\n",
+    "        duration = np.random.normal(25, 10)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "396c21e7-aab8-4af0-915f-e595cadac737",
+   "metadata": {},
+   "source": [
+    "Durasi tidur dibangkitkan menggunakan distribusi normal dengan:\n",
+    "<p> * rata-rata tidur <bold>6.5 jam\n",
+    "<p> * standar deviasi 1.5 jam\n",
+    "\n",
+    "Mood ditentukan berdasarkan durasi tidur menggunakan probabilitas berbobot (weighted probability).\n",
+    "<p> * Tidur lebih cukup → peluang mood baik lebih besar.\n",
+    "<p> * Tidur kurang → peluang mood jenuh meningkat.\n",
+    "\n",
+    "Durasi belajar dibentuk berdasarkan kondisi mood pengguna\n",
+    "<p>* Mood baik → durasi belajar cenderung lebih tinggi.\n",
+    "<p>* Mood jenuh → durasi belajar cenderung lebih rendah.\n",
+    "\n",
+    "Tahap ini dilakukan agar hubungan antar variabel lebih mendekati kondisi nyata dan tidak dibentuk secara acak penuh"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f1e66dd5-8ed5-4a62-bd9e-9353769dd643",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "duration = int(np.clip(duration, 10, 180))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "efb60353-bf12-4c71-b3ec-43d4a6933c0e",
+   "metadata": {},
+   "source": [
+    "#### Durasi belajar dibatasi antara minimum 10 menit maksimum 180 menit.\n",
+    "\n",
+    "Hal ini dilakukan agar tidak muncul nilai yang tidak realistis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1c793019-5f88-4a70-9464-462cc3a3155c",
+   "metadata": {},
+   "source": [
+    "## Penyusunan Dataset\n",
+    "\n",
+    "Data yang dihasilkan disusun ke dalam bentuk DataFrame dan disimpan sebagai file CSV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "0b2ea9bb-fda1-45a8-ab80-27ebb48072ed",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>no</th>\n",
+       "      <th>mood</th>\n",
+       "      <th>durasi_belajar</th>\n",
+       "      <th>durasi_tidur</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2000</td>\n",
+       "      <td>Bagus</td>\n",
+       "      <td>95</td>\n",
+       "      <td>7.7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     no   mood  durasi_belajar  durasi_tidur\n",
+       "0  2000  Bagus              95           7.7"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.append([\n",
+    "        i,\n",
+    "        mood,\n",
+    "        duration,\n",
+    "        round(sleep, 1)\n",
+    "    ])\n",
+    "# Buat DataFrame\n",
+    "df = pd.DataFrame(data, columns=[\n",
+    "    'no',\n",
+    "    'mood',\n",
+    "    'durasi_belajar',\n",
+    "    'durasi_tidur'\n",
+    "])\n",
+    "\n",
+    "# Simpan ke CSV\n",
+    "df.to_csv('data_sintetis_2000_tanpa_label.csv', index=False)\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa08129e-b6ea-40c6-8546-04f6f0730b01",
+   "metadata": {},
+   "source": [
+    "## Pembentukan Label (Pseudo-Labeling)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "2863896b-4c95-4aae-a963-d064aa16402a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>no</th>\n",
+       "      <th>mood</th>\n",
+       "      <th>durasi_belajar</th>\n",
+       "      <th>durasi_tidur</th>\n",
+       "      <th>mood_score</th>\n",
+       "      <th>sleep_score</th>\n",
+       "      <th>duration_score</th>\n",
+       "      <th>total_score</th>\n",
+       "      <th>label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Lumayan</td>\n",
+       "      <td>72</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>Intensif</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Biasa Saja</td>\n",
+       "      <td>59</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>Ringan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Bagus</td>\n",
+       "      <td>110</td>\n",
+       "      <td>8.9</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>Intensif</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Lumayan</td>\n",
+       "      <td>64</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>Sedang</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>Biasa Saja</td>\n",
+       "      <td>26</td>\n",
+       "      <td>6.9</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>Ringan</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   no        mood  durasi_belajar  durasi_tidur  mood_score  sleep_score  \\\n",
+       "0   1     Lumayan              72           7.2         1.5            2   \n",
+       "1   2  Biasa Saja              59           4.8         1.0            0   \n",
+       "2   3       Bagus             110           8.9         2.0            2   \n",
+       "3   4     Lumayan              64           5.6         1.5            1   \n",
+       "4   5  Biasa Saja              26           6.9         1.0            1   \n",
+       "\n",
+       "   duration_score  total_score     label  \n",
+       "0               2          5.5  Intensif  \n",
+       "1               1          2.0    Ringan  \n",
+       "2               2          6.0  Intensif  \n",
+       "3               2          4.5    Sedang  \n",
+       "4               0          2.0    Ringan  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_labeled = df.copy()\n",
+    "\n",
+    "# 1️⃣ Mapping skor mood\n",
+    "mood_scores = {\n",
+    "    'Bagus': 2,\n",
+    "    'Lumayan': 1.5,\n",
+    "    'Biasa Saja': 1,\n",
+    "    'Cukup Jenuh': 0.5,\n",
+    "    'Jenuh': 0\n",
+    "}\n",
+    "\n",
+    "df_labeled['mood_score'] = df_labeled['mood'].map(mood_scores)\n",
+    "\n",
+    "# 2️⃣ Skor durasi tidur\n",
+    "def sleep_score(hours):\n",
+    "    if hours > 7:\n",
+    "        return 2\n",
+    "    elif hours >= 5:\n",
+    "        return 1\n",
+    "    else:\n",
+    "        return 0\n",
+    "\n",
+    "df_labeled['sleep_score'] = df_labeled['durasi_tidur'].apply(sleep_score)\n",
+    "\n",
+    "# 3️⃣ Skor durasi belajar\n",
+    "def duration_score(minutes):\n",
+    "    if minutes > 60:\n",
+    "        return 2\n",
+    "    elif minutes > 30:\n",
+    "        return 1\n",
+    "    else:\n",
+    "        return 0\n",
+    "\n",
+    "df_labeled['duration_score'] = df_labeled['durasi_belajar'].apply(duration_score)\n",
+    "\n",
+    "# 4️⃣ Total skor\n",
+    "df_labeled['total_score'] = (\n",
+    "    df_labeled['mood_score'] +\n",
+    "    df_labeled['sleep_score'] +\n",
+    "    df_labeled['duration_score']\n",
+    ")\n",
+    "\n",
+    "# 5️⃣ Buat label pseudo\n",
+    "def categorize(score):\n",
+    "    if score <= 3:\n",
+    "        return 'Ringan'\n",
+    "    elif score <= 4.5:\n",
+    "        return 'Sedang'\n",
+    "    else:\n",
+    "        return 'Intensif'\n",
+    "\n",
+    "df_labeled['label'] = df_labeled['total_score'].apply(categorize)\n",
+    "\n",
+    "df_labeled.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7f81bc75-ac2a-403d-937f-f091e384a858",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "label\n",
+       "Ringan      780\n",
+       "Sedang      675\n",
+       "Intensif    545\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_labeled['label'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "232c5b2d-532e-43cf-8808-4abcc89ab7c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_labeled.to_csv('data_sintetis_2000_dengan_pseudo_label.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "4da2a7fa-38fe-485d-9738-e54b75b1fc3a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mood</th>\n",
+       "      <th>durasi_belajar</th>\n",
+       "      <th>durasi_tidur</th>\n",
+       "      <th>label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Lumayan</td>\n",
+       "      <td>72</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>Intensif</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Biasa Saja</td>\n",
+       "      <td>59</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>Ringan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Bagus</td>\n",
+       "      <td>110</td>\n",
+       "      <td>8.9</td>\n",
+       "      <td>Intensif</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Lumayan</td>\n",
+       "      <td>64</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>Sedang</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Biasa Saja</td>\n",
+       "      <td>26</td>\n",
+       "      <td>6.9</td>\n",
+       "      <td>Ringan</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         mood  durasi_belajar  durasi_tidur     label\n",
+       "0     Lumayan              72           7.2  Intensif\n",
+       "1  Biasa Saja              59           4.8    Ringan\n",
+       "2       Bagus             110           8.9  Intensif\n",
+       "3     Lumayan              64           5.6    Sedang\n",
+       "4  Biasa Saja              26           6.9    Ringan"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Ambil hanya kolom yang diperlukan\n",
+    "df_final = df_labeled[['mood', 'durasi_belajar', 'durasi_tidur', 'label']]\n",
+    "\n",
+    "df_final.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "3f6058f0-ba14-4ec2-ab41-2bdd124203e6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_final.to_csv('data_final_2000_dengan_label.csv', index=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.12",
+   "language": "python",
+   "name": "python312"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Model Algoritma/Model-Training.ipynb b/Model Algoritma/Model-Training.ipynb
new file mode 100644
index 0000000..35257be
--- /dev/null
+++ b/Model Algoritma/Model-Training.ipynb	
@@ -0,0 +1,853 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "5cd83bae-8836-44e0-96fd-3fbae94120d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import joblib\n",
+    "\n",
+    "from sklearn.preprocessing import LabelEncoder\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.metrics import accuracy_score, classification_report"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c5c8cd0e-69d9-47bb-90a6-f37f2cf2c560",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Jumlah data: 2000\n",
+      "\n",
+      "Distribusi label:\n",
+      "label\n",
+      "Ringan      780\n",
+      "Sedang      675\n",
+      "Intensif    545\n",
+      "Name: count, dtype: int64\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mood</th>\n",
+       "      <th>durasi_belajar</th>\n",
+       "      <th>durasi_tidur</th>\n",
+       "      <th>label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Lumayan</td>\n",
+       "      <td>72</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>Intensif</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Biasa Saja</td>\n",
+       "      <td>59</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>Ringan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Bagus</td>\n",
+       "      <td>110</td>\n",
+       "      <td>8.9</td>\n",
+       "      <td>Intensif</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Lumayan</td>\n",
+       "      <td>64</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>Sedang</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Biasa Saja</td>\n",
+       "      <td>26</td>\n",
+       "      <td>6.9</td>\n",
+       "      <td>Ringan</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         mood  durasi_belajar  durasi_tidur     label\n",
+       "0     Lumayan              72           7.2  Intensif\n",
+       "1  Biasa Saja              59           4.8    Ringan\n",
+       "2       Bagus             110           8.9  Intensif\n",
+       "3     Lumayan              64           5.6    Sedang\n",
+       "4  Biasa Saja              26           6.9    Ringan"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\"data_final_2000_dengan_label.csv\")\n",
+    "\n",
+    "print(\"Jumlah data:\", len(df))\n",
+    "print(\"\\nDistribusi label:\")\n",
+    "print(df['label'].value_counts())\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "6efb255f-89dd-4299-9ee2-5c391ead35d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_encoded = df.copy()\n",
+    "\n",
+    "le_mood = LabelEncoder()\n",
+    "le_label = LabelEncoder()\n",
+    "\n",
+    "df_encoded['mood'] = le_mood.fit_transform(df_encoded['mood'])\n",
+    "df_encoded['label'] = le_label.fit_transform(df_encoded['label'])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "85b42598-f28a-47af-a21e-7a0b9d02a25b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = df_encoded[['mood', 'durasi_belajar', 'durasi_tidur']]\n",
+    "y = df_encoded['label']\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(\n",
+    "    X, y,\n",
+    "    test_size=0.2,\n",
+    "    random_state=42,\n",
+    "    stratify=y  # penting supaya distribusi seimbang\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "8b04960c-576d-4bdd-ab29-504d38ba5d2e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: #000;\n",
+       "  --sklearn-color-text-muted: #666;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-1 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: flex;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "  align-items: start;\n",
+       "  justify-content: space-between;\n",
+       "  gap: 0.5em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
+       "  font-size: 0.6rem;\n",
+       "  font-weight: lighter;\n",
+       "  color: var(--sklearn-color-text-muted);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content {\n",
+       "  max-height: 0;\n",
+       "  max-width: 0;\n",
+       "  overflow: hidden;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  max-height: 200px;\n",
+       "  max-width: 100%;\n",
+       "  overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-1 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-1 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-1 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 0.5em;\n",
+       "  text-align: center;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(max_depth=6, min_samples_leaf=3, min_samples_split=5,\n",
+       "                       random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>DecisionTreeClassifier</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.tree.DecisionTreeClassifier.html\">?<span>Documentation for DecisionTreeClassifier</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>DecisionTreeClassifier(max_depth=6, min_samples_leaf=3, min_samples_split=5,\n",
+       "                       random_state=42)</pre></div> </div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeClassifier(max_depth=6, min_samples_leaf=3, min_samples_split=5,\n",
+       "                       random_state=42)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model = DecisionTreeClassifier(\n",
+    "    max_depth=6,            # batasi depth supaya tidak overfit\n",
+    "    min_samples_split=5,\n",
+    "    min_samples_leaf=3,\n",
+    "    random_state=42\n",
+    ")\n",
+    "\n",
+    "model.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b7df854f-7784-47f4-afc2-afc0ddc31baa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Accuracy: 0.995\n",
+      "\n",
+      "Classification Report:\n",
+      "\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00       109\n",
+      "           1       0.99      1.00      0.99       156\n",
+      "           2       1.00      0.99      0.99       135\n",
+      "\n",
+      "    accuracy                           0.99       400\n",
+      "   macro avg       1.00      1.00      1.00       400\n",
+      "weighted avg       1.00      0.99      0.99       400\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "y_pred = model.predict(X_test)\n",
+    "\n",
+    "print(\"\\nAccuracy:\", accuracy_score(y_test, y_pred))\n",
+    "print(\"\\nClassification Report:\\n\")\n",
+    "print(classification_report(y_test, y_pred))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "48b6dcb9-1432-461e-8dd6-b89db2f81594",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Training Accuracy : 0.99875\n",
+      "Testing Accuracy  : 0.995\n",
+      "\n",
+      "Selisih : 0.003750000000000031\n"
+     ]
+    }
+   ],
+   "source": [
+    "# ==============================\n",
+    "# Cek Overfitting\n",
+    "# ==============================\n",
+    "\n",
+    "# Akurasi Training\n",
+    "train_pred = model.predict(X_train)\n",
+    "train_acc = accuracy_score(y_train, train_pred)\n",
+    "\n",
+    "# Akurasi Testing\n",
+    "test_pred = model.predict(X_test)\n",
+    "test_acc = accuracy_score(y_test, test_pred)\n",
+    "\n",
+    "print(\"Training Accuracy :\", train_acc)\n",
+    "print(\"Testing Accuracy  :\", test_acc)\n",
+    "\n",
+    "print(\"\\nSelisih :\", train_acc - test_acc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "999b3bae-5837-43e6-b24e-bad7ce08440e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cross Validation Scores: [1.     0.995  1.     0.9925 1.    ]\n",
+      "Rata-rata CV Accuracy: 0.9975000000000002\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.model_selection import cross_val_score\n",
+    "\n",
+    "cv_scores = cross_val_score(model, X, y, cv=5)\n",
+    "\n",
+    "print(\"Cross Validation Scores:\", cv_scores)\n",
+    "print(\"Rata-rata CV Accuracy:\", cv_scores.mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "6e7c3745-ccc5-4aa4-8c6b-35e718c5f274",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Confusion Matrix:\n",
+      "[[109   0   0]\n",
+      " [  0 156   0]\n",
+      " [  0   2 133]]\n",
+      "Akurasi: 0.99\n"
+     ]
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.metrics import confusion_matrix, accuracy_score\n",
+    "\n",
+    "# Prediksi pada data test\n",
+    "y_pred = model.predict(X_test)\n",
+    "\n",
+    "# Buat confusion matrix\n",
+    "cm = confusion_matrix(y_test, y_pred)\n",
+    "\n",
+    "# Visualisasi confusion matrix\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', \n",
+    "            xticklabels=le_label.classes_, \n",
+    "            yticklabels=le_label.classes_)\n",
+    "\n",
+    "plt.xlabel('Predicted Labels', fontsize=12)\n",
+    "plt.ylabel('True Labels', fontsize=12)\n",
+    "plt.title(f'Confusion Matrix\\nAccuracy: {accuracy_score(y_test, y_pred):.2f}', fontsize=14)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "# Print teksnya juga\n",
+    "print(\"Confusion Matrix:\")\n",
+    "print(cm)\n",
+    "print(f\"Akurasi: {accuracy_score(y_test, y_pred):.2f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "4d1de5f2-72bb-46b2-86e5-e19233b48dfe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Visualisasi confusion matrix\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "sns.heatmap(confusion_matrix(y_test, model.predict(X_test)), \n",
+    "            annot=True, fmt='d', cmap='Blues',\n",
+    "            xticklabels=le_label.classes_,\n",
+    "            yticklabels=le_label.classes_)\n",
+    "plt.xlabel('Predicted')\n",
+    "plt.ylabel('Actual')\n",
+    "plt.title('Confusion Matrix')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "d0de124c-f99b-4800-bfd6-0ccee34a251d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['encoder_label.pkl']"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "joblib.dump(model, \"model_harian.pkl\")\n",
+    "joblib.dump(le_mood, \"encoder_mood.pkl\")\n",
+    "joblib.dump(le_label, \"encoder_label.pkl\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fef83e44-80e3-4724-a94c-e3be55407892",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.12",
+   "language": "python",
+   "name": "python312"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Model Algoritma/Untitled.ipynb b/Model Algoritma/Untitled.ipynb
new file mode 100644
index 0000000..aececd0
--- /dev/null
+++ b/Model Algoritma/Untitled.ipynb	
@@ -0,0 +1,151 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "90ab8483-90bf-43b3-83d2-56d0978b1a33",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "np.random.seed(42)\n",
+    "\n",
+    "n_samples = 2000\n",
+    "data = []\n",
+    "\n",
+    "for i in range(1, n_samples + 1):\n",
+    "    \n",
+    "    sleep = np.clip(np.random.normal(6.5, 1.5), 3, 9)\n",
+    "    \n",
+    "    if sleep >= 7:\n",
+    "        mood = np.random.choice(\n",
+    "            ['Bagus', 'Lumayan', 'Biasa Saja'],\n",
+    "            p=[0.5, 0.3, 0.2]\n",
+    "        )\n",
+    "    elif sleep >= 5:\n",
+    "        mood = np.random.choice(\n",
+    "            ['Lumayan', 'Biasa Saja', 'Cukup Jenuh'],\n",
+    "            p=[0.4, 0.4, 0.2]\n",
+    "        )\n",
+    "    else:\n",
+    "        mood = np.random.choice(\n",
+    "            ['Biasa Saja', 'Cukup Jenuh', 'Jenuh'],\n",
+    "            p=[0.3, 0.4, 0.3]\n",
+    "        )\n",
+    "\n",
+    "    if mood == 'Bagus':\n",
+    "        duration = np.random.normal(95, 20)\n",
+    "    elif mood == 'Lumayan':\n",
+    "        duration = np.random.normal(75, 20)\n",
+    "    elif mood == 'Biasa Saja':\n",
+    "        duration = np.random.normal(55, 15)\n",
+    "    elif mood == 'Cukup Jenuh':\n",
+    "        duration = np.random.normal(35, 10)\n",
+    "    else:  # Jenuh\n",
+    "        duration = np.random.normal(25, 10)\n",
+    "    \n",
+    "    duration = int(np.clip(duration, 10, 180))\n",
+    "\n",
+    "    data.append([\n",
+    "        i,\n",
+    "        mood,\n",
+    "        duration,\n",
+    "        round(sleep, 1)\n",
+    "    ])\n",
+    "\n",
+    "# Buat DataFrame\n",
+    "df = pd.DataFrame(data, columns=[\n",
+    "    'no',\n",
+    "    'mood',\n",
+    "    'durasi_belajar',\n",
+    "    'durasi_tidur'\n",
+    "])\n",
+    "\n",
+    "# Simpan ke CSV\n",
+    "df.to_csv('data_sintetis_2000_tanpa_label.csv', index=False)\n",
+    "\n",
+    "df.head()\n",
+    "\n",
+    "df_labeled = df.copy()\n",
+    "\n",
+    "# 1️⃣ Mapping skor mood\n",
+    "mood_scores = {\n",
+    "    'Bagus': 2,\n",
+    "    'Lumayan': 1.5,\n",
+    "    'Biasa Saja': 1,\n",
+    "    'Cukup Jenuh': 0.5,\n",
+    "    'Jenuh': 0\n",
+    "}\n",
+    "\n",
+    "df_labeled['mood_score'] = df_labeled['mood'].map(mood_scores)\n",
+    "\n",
+    "# 2️⃣ Skor durasi tidur\n",
+    "def sleep_score(hours):\n",
+    "    if hours > 7:\n",
+    "        return 2\n",
+    "    elif hours >= 5:\n",
+    "        return 1\n",
+    "    else:\n",
+    "        return 0\n",
+    "\n",
+    "df_labeled['sleep_score'] = df_labeled['durasi_tidur'].apply(sleep_score)\n",
+    "\n",
+    "# 3️⃣ Skor durasi belajar\n",
+    "def duration_score(minutes):\n",
+    "    if minutes > 60:\n",
+    "        return 2\n",
+    "    elif minutes > 30:\n",
+    "        return 1\n",
+    "    else:\n",
+    "        return 0\n",
+    "\n",
+    "df_labeled['duration_score'] = df_labeled['durasi_belajar'].apply(duration_score)\n",
+    "\n",
+    "# 4️⃣ Total skor\n",
+    "df_labeled['total_score'] = (\n",
+    "    df_labeled['mood_score'] +\n",
+    "    df_labeled['sleep_score'] +\n",
+    "    df_labeled['duration_score']\n",
+    ")\n",
+    "\n",
+    "# 5️⃣ Buat label pseudo\n",
+    "def categorize(score):\n",
+    "    if score <= 3:\n",
+    "        return 'Ringan'\n",
+    "    elif score <= 4.5:\n",
+    "        return 'Sedang'\n",
+    "    else:\n",
+    "        return 'Intensif'\n",
+    "\n",
+    "df_labeled['label'] = df_labeled['total_score'].apply(categorize)\n",
+    "\n",
+    "df_labeled.head()\n",
+    "\n",
+    "df_labeled.to_csv('data_sintetis_2000_dengan_pseudo_label.csv', index=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.12",
+   "language": "python",
+   "name": "python312"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Model Algoritma/data_final_2000_dengan_label.csv b/Model Algoritma/data_final_2000_dengan_label.csv
new file mode 100644
index 0000000..93891cd
--- /dev/null
+++ b/Model Algoritma/data_final_2000_dengan_label.csv	
@@ -0,0 +1,2001 @@
+mood,durasi_belajar,durasi_tidur,label
+Lumayan,72,7.2,Intensif
+Biasa Saja,59,4.8,Ringan
+Bagus,110,8.9,Intensif
+Lumayan,64,5.6,Sedang
+Biasa Saja,26,6.9,Ringan
+Bagus,64,7.7,Intensif
+Biasa Saja,33,5.1,Ringan
+Biasa Saja,63,5.6,Sedang
+Biasa Saja,56,5.7,Ringan
+Lumayan,93,5.6,Sedang
+Lumayan,112,5.6,Sedang
+Cukup Jenuh,34,5.7,Ringan
+Bagus,70,7.7,Intensif
+Bagus,118,9.0,Intensif
+Bagus,98,7.6,Intensif
+Biasa Saja,31,5.0,Ringan
+Lumayan,96,5.8,Sedang
+Jenuh,26,4.8,Ringan
+Lumayan,87,5.5,Sedang
+Lumayan,92,7.4,Intensif
+Cukup Jenuh,31,5.2,Ringan
+Biasa Saja,71,4.2,Ringan
+Jenuh,13,4.8,Ringan
+Bagus,100,7.8,Intensif
+Lumayan,62,7.0,Sedang
+Bagus,101,8.7,Intensif
+Biasa Saja,67,3.0,Ringan
+Cukup Jenuh,45,4.4,Ringan
+Biasa Saja,60,6.2,Ringan
+Lumayan,89,5.3,Sedang
+Cukup Jenuh,29,5.3,Ringan
+Biasa Saja,72,7.3,Intensif
+Cukup Jenuh,40,5.7,Ringan
+Biasa Saja,57,8.6,Sedang
+Lumayan,68,5.4,Sedang
+Biasa Saja,50,8.4,Sedang
+Biasa Saja,51,6.5,Ringan
+Lumayan,69,5.9,Sedang
+Biasa Saja,61,6.3,Sedang
+Cukup Jenuh,49,5.1,Ringan
+Biasa Saja,54,3.6,Ringan
+Biasa Saja,48,6.7,Ringan
+Lumayan,81,6.2,Sedang
+Bagus,94,7.0,Intensif
+Bagus,110,8.2,Intensif
+Biasa Saja,75,5.3,Sedang
+Bagus,138,7.4,Intensif
+Lumayan,93,5.8,Sedang
+Biasa Saja,47,6.6,Ringan
+Lumayan,67,6.5,Sedang
+Cukup Jenuh,39,4.9,Ringan
+Bagus,91,7.4,Intensif
+Cukup Jenuh,31,5.3,Ringan
+Biasa Saja,63,6.0,Sedang
+Biasa Saja,74,6.8,Sedang
+Cukup Jenuh,32,6.0,Ringan
+Lumayan,90,6.9,Sedang
+Biasa Saja,41,8.4,Sedang
+Biasa Saja,60,6.9,Ringan
+Lumayan,91,6.8,Sedang
+Lumayan,60,6.9,Sedang
+Biasa Saja,36,6.8,Ringan
+Jenuh,31,4.7,Ringan
+Biasa Saja,38,5.4,Ringan
+Lumayan,83,7.9,Intensif
+Lumayan,77,5.2,Sedang
+Cukup Jenuh,26,5.2,Ringan
+Lumayan,70,7.8,Intensif
+Biasa Saja,76,6.5,Sedang
+Jenuh,24,4.4,Ringan
+Jenuh,29,4.9,Ringan
+Cukup Jenuh,42,6.3,Ringan
+Cukup Jenuh,19,5.2,Ringan
+Biasa Saja,47,5.1,Ringan
+Biasa Saja,60,6.8,Ringan
+Cukup Jenuh,26,6.8,Ringan
+Cukup Jenuh,23,6.6,Ringan
+Lumayan,96,7.8,Intensif
+Jenuh,15,4.4,Ringan
+Cukup Jenuh,37,7.0,Ringan
+Lumayan,152,7.3,Intensif
+Lumayan,94,8.5,Intensif
+Lumayan,90,6.0,Sedang
+Lumayan,57,6.7,Sedang
+Bagus,57,9.0,Intensif
+Lumayan,76,5.9,Sedang
+Lumayan,96,5.8,Sedang
+Bagus,97,8.8,Intensif
+Lumayan,79,5.4,Sedang
+Lumayan,111,9.0,Intensif
+Jenuh,26,3.5,Ringan
+Lumayan,41,5.8,Sedang
+Bagus,112,7.3,Intensif
+Lumayan,68,6.0,Sedang
+Lumayan,83,9.0,Intensif
+Lumayan,108,7.1,Intensif
+Cukup Jenuh,30,4.2,Ringan
+Lumayan,112,6.1,Sedang
+Biasa Saja,39,3.0,Ringan
+Cukup Jenuh,21,3.5,Ringan
+Lumayan,77,5.8,Sedang
+Cukup Jenuh,58,6.6,Ringan
+Lumayan,84,5.0,Sedang
+Biasa Saja,55,6.2,Ringan
+Lumayan,88,6.7,Sedang
+Biasa Saja,86,5.6,Sedang
+Cukup Jenuh,40,6.3,Ringan
+Lumayan,79,5.8,Sedang
+Lumayan,91,5.6,Sedang
+Biasa Saja,76,7.9,Intensif
+Bagus,107,7.7,Intensif
+Biasa Saja,44,7.3,Sedang
+Lumayan,77,6.5,Sedang
+Cukup Jenuh,46,5.5,Ringan
+Biasa Saja,71,6.2,Sedang
+Cukup Jenuh,37,5.9,Ringan
+Bagus,95,8.5,Intensif
+Lumayan,92,6.1,Sedang
+Cukup Jenuh,33,7.0,Ringan
+Bagus,116,9.0,Intensif
+Cukup Jenuh,22,5.0,Ringan
+Lumayan,88,7.7,Intensif
+Lumayan,57,6.5,Sedang
+Jenuh,42,3.4,Ringan
+Lumayan,68,5.3,Sedang
+Bagus,122,7.4,Intensif
+Lumayan,64,6.9,Sedang
+Bagus,112,7.3,Intensif
+Jenuh,10,4.3,Ringan
+Lumayan,102,5.5,Sedang
+Biasa Saja,77,7.0,Sedang
+Biasa Saja,54,6.0,Ringan
+Biasa Saja,42,7.0,Ringan
+Bagus,96,7.2,Intensif
+Bagus,86,7.5,Intensif
+Cukup Jenuh,44,6.6,Ringan
+Cukup Jenuh,27,6.6,Ringan
+Lumayan,83,9.0,Intensif
+Lumayan,59,9.0,Sedang
+Biasa Saja,69,6.3,Sedang
+Biasa Saja,46,5.2,Ringan
+Bagus,58,8.0,Intensif
+Bagus,132,7.0,Intensif
+Bagus,114,7.4,Intensif
+Jenuh,43,4.5,Ringan
+Cukup Jenuh,32,6.4,Ringan
+Jenuh,38,3.9,Ringan
+Biasa Saja,59,6.9,Ringan
+Biasa Saja,46,4.1,Ringan
+Cukup Jenuh,38,6.9,Ringan
+Biasa Saja,55,6.5,Ringan
+Lumayan,43,6.0,Sedang
+Lumayan,85,6.7,Sedang
+Bagus,125,8.1,Intensif
+Biasa Saja,43,7.0,Ringan
+Cukup Jenuh,50,6.7,Ringan
+Biasa Saja,81,9.0,Intensif
+Biasa Saja,50,5.0,Ringan
+Lumayan,102,7.5,Intensif
+Lumayan,68,5.8,Sedang
+Bagus,59,8.1,Intensif
+Bagus,92,7.8,Intensif
+Bagus,96,8.8,Intensif
+Biasa Saja,59,8.0,Sedang
+Cukup Jenuh,34,3.9,Ringan
+Lumayan,83,6.5,Sedang
+Biasa Saja,65,4.5,Ringan
+Cukup Jenuh,39,4.8,Ringan
+Biasa Saja,69,6.4,Sedang
+Lumayan,65,5.8,Sedang
+Lumayan,59,5.7,Sedang
+Cukup Jenuh,33,4.3,Ringan
+Bagus,95,9.0,Intensif
+Bagus,119,7.3,Intensif
+Cukup Jenuh,32,6.3,Ringan
+Lumayan,86,5.4,Sedang
+Biasa Saja,20,6.1,Ringan
+Biasa Saja,22,5.6,Ringan
+Lumayan,81,7.4,Intensif
+Biasa Saja,56,5.0,Ringan
+Biasa Saja,58,4.1,Ringan
+Lumayan,74,6.2,Sedang
+Lumayan,53,5.5,Sedang
+Biasa Saja,68,6.8,Sedang
+Lumayan,104,6.5,Sedang
+Lumayan,95,9.0,Intensif
+Biasa Saja,52,4.9,Ringan
+Lumayan,48,8.6,Sedang
+Biasa Saja,63,4.4,Ringan
+Lumayan,62,5.8,Sedang
+Lumayan,57,5.6,Sedang
+Jenuh,31,3.0,Ringan
+Cukup Jenuh,25,6.1,Ringan
+Lumayan,80,6.9,Sedang
+Biasa Saja,40,7.3,Sedang
+Bagus,127,9.0,Intensif
+Lumayan,86,5.5,Sedang
+Lumayan,20,6.9,Ringan
+Lumayan,56,6.9,Sedang
+Cukup Jenuh,37,4.8,Ringan
+Lumayan,75,5.5,Sedang
+Biasa Saja,66,5.6,Sedang
+Bagus,123,7.3,Intensif
+Jenuh,14,3.8,Ringan
+Biasa Saja,45,7.1,Sedang
+Biasa Saja,78,7.2,Intensif
+Bagus,86,7.0,Intensif
+Cukup Jenuh,31,6.0,Ringan
+Lumayan,116,6.9,Sedang
+Cukup Jenuh,44,6.1,Ringan
+Cukup Jenuh,24,3.4,Ringan
+Lumayan,58,8.1,Sedang
+Lumayan,70,7.0,Sedang
+Lumayan,76,7.8,Intensif
+Biasa Saja,72,4.3,Ringan
+Lumayan,99,7.3,Intensif
+Lumayan,79,6.8,Sedang
+Jenuh,16,4.9,Ringan
+Biasa Saja,47,6.6,Ringan
+Cukup Jenuh,43,6.0,Ringan
+Biasa Saja,40,6.1,Ringan
+Biasa Saja,46,5.9,Ringan
+Lumayan,102,7.8,Intensif
+Cukup Jenuh,37,4.1,Ringan
+Cukup Jenuh,49,3.8,Ringan
+Biasa Saja,94,6.8,Sedang
+Biasa Saja,65,6.7,Sedang
+Lumayan,83,6.8,Sedang
+Bagus,121,9.0,Intensif
+Cukup Jenuh,36,6.8,Ringan
+Cukup Jenuh,33,5.0,Ringan
+Bagus,105,9.0,Intensif
+Cukup Jenuh,30,6.3,Ringan
+Biasa Saja,20,7.8,Ringan
+Jenuh,12,4.6,Ringan
+Cukup Jenuh,32,4.2,Ringan
+Biasa Saja,50,6.1,Ringan
+Bagus,91,7.7,Intensif
+Bagus,117,9.0,Intensif
+Jenuh,30,5.0,Ringan
+Lumayan,52,6.1,Sedang
+Biasa Saja,57,6.5,Ringan
+Lumayan,74,6.5,Sedang
+Lumayan,78,6.3,Sedang
+Biasa Saja,46,6.5,Ringan
+Bagus,41,8.6,Intensif
+Bagus,53,8.4,Intensif
+Cukup Jenuh,32,6.9,Ringan
+Cukup Jenuh,27,4.4,Ringan
+Lumayan,73,6.0,Sedang
+Bagus,120,7.9,Intensif
+Biasa Saja,44,5.4,Ringan
+Biasa Saja,62,5.7,Sedang
+Lumayan,70,6.0,Sedang
+Biasa Saja,61,7.6,Intensif
+Bagus,74,9.0,Intensif
+Bagus,88,7.4,Intensif
+Jenuh,42,4.0,Ringan
+Lumayan,95,5.7,Sedang
+Bagus,59,8.5,Intensif
+Cukup Jenuh,52,4.6,Ringan
+Jenuh,19,3.9,Ringan
+Cukup Jenuh,38,5.7,Ringan
+Lumayan,74,8.0,Intensif
+Lumayan,73,6.0,Sedang
+Bagus,108,9.0,Intensif
+Cukup Jenuh,33,6.8,Ringan
+Biasa Saja,56,4.6,Ringan
+Lumayan,55,6.8,Sedang
+Biasa Saja,65,9.0,Intensif
+Biasa Saja,69,6.9,Sedang
+Jenuh,30,5.0,Ringan
+Cukup Jenuh,22,3.7,Ringan
+Biasa Saja,57,6.0,Ringan
+Lumayan,46,5.6,Sedang
+Bagus,77,8.5,Intensif
+Biasa Saja,94,5.1,Sedang
+Lumayan,78,6.6,Sedang
+Biasa Saja,56,5.6,Ringan
+Jenuh,34,4.0,Ringan
+Biasa Saja,81,6.4,Sedang
+Jenuh,20,4.2,Ringan
+Bagus,114,7.4,Intensif
+Biasa Saja,72,3.9,Ringan
+Lumayan,87,6.4,Sedang
+Lumayan,77,8.1,Intensif
+Lumayan,96,7.3,Intensif
+Biasa Saja,64,5.8,Sedang
+Bagus,99,7.1,Intensif
+Bagus,97,7.7,Intensif
+Jenuh,35,4.9,Ringan
+Biasa Saja,53,8.2,Sedang
+Bagus,84,7.9,Intensif
+Biasa Saja,62,4.4,Ringan
+Lumayan,65,6.8,Sedang
+Lumayan,77,6.1,Sedang
+Bagus,98,8.7,Intensif
+Lumayan,80,7.8,Intensif
+Cukup Jenuh,45,6.6,Ringan
+Bagus,81,8.3,Intensif
+Biasa Saja,49,9.0,Sedang
+Jenuh,10,4.0,Ringan
+Lumayan,69,5.9,Sedang
+Biasa Saja,39,5.0,Ringan
+Lumayan,79,6.4,Sedang
+Jenuh,31,4.9,Ringan
+Biasa Saja,51,8.0,Sedang
+Bagus,81,9.0,Intensif
+Biasa Saja,62,6.7,Sedang
+Biasa Saja,56,4.1,Ringan
+Biasa Saja,46,5.6,Ringan
+Cukup Jenuh,33,5.8,Ringan
+Lumayan,63,8.6,Intensif
+Bagus,87,7.0,Intensif
+Biasa Saja,32,6.8,Ringan
+Cukup Jenuh,36,5.2,Ringan
+Cukup Jenuh,31,5.6,Ringan
+Lumayan,96,7.3,Intensif
+Lumayan,59,6.2,Sedang
+Bagus,75,7.8,Intensif
+Cukup Jenuh,37,5.7,Ringan
+Cukup Jenuh,26,3.0,Ringan
+Biasa Saja,70,5.8,Sedang
+Jenuh,29,4.0,Ringan
+Biasa Saja,71,7.4,Intensif
+Biasa Saja,65,7.1,Intensif
+Lumayan,98,8.1,Intensif
+Cukup Jenuh,39,5.5,Ringan
+Lumayan,77,6.2,Sedang
+Cukup Jenuh,39,5.5,Ringan
+Lumayan,100,6.5,Sedang
+Biasa Saja,32,7.7,Sedang
+Cukup Jenuh,42,4.5,Ringan
+Bagus,99,8.7,Intensif
+Cukup Jenuh,50,6.9,Ringan
+Biasa Saja,33,8.3,Sedang
+Lumayan,78,5.8,Sedang
+Biasa Saja,57,6.0,Ringan
+Bagus,64,8.3,Intensif
+Bagus,84,7.1,Intensif
+Lumayan,73,8.8,Intensif
+Jenuh,20,3.9,Ringan
+Biasa Saja,22,4.3,Ringan
+Bagus,114,7.5,Intensif
+Biasa Saja,46,6.9,Ringan
+Cukup Jenuh,23,6.2,Ringan
+Bagus,73,9.0,Intensif
+Bagus,90,7.8,Intensif
+Jenuh,39,4.6,Ringan
+Bagus,94,7.3,Intensif
+Lumayan,84,7.0,Sedang
+Lumayan,87,7.2,Intensif
+Biasa Saja,65,6.8,Sedang
+Biasa Saja,54,5.0,Ringan
+Lumayan,111,5.5,Sedang
+Biasa Saja,54,5.4,Ringan
+Bagus,81,7.8,Intensif
+Lumayan,74,6.1,Sedang
+Biasa Saja,18,5.8,Ringan
+Biasa Saja,38,8.0,Sedang
+Lumayan,74,5.0,Sedang
+Lumayan,74,9.0,Intensif
+Lumayan,75,6.2,Sedang
+Lumayan,75,5.2,Sedang
+Cukup Jenuh,32,5.0,Ringan
+Bagus,107,8.0,Intensif
+Bagus,113,8.6,Intensif
+Biasa Saja,60,9.0,Sedang
+Bagus,107,7.8,Intensif
+Cukup Jenuh,44,6.7,Ringan
+Lumayan,61,9.0,Intensif
+Lumayan,79,5.9,Sedang
+Cukup Jenuh,30,5.5,Ringan
+Jenuh,19,5.0,Ringan
+Biasa Saja,87,6.5,Sedang
+Cukup Jenuh,42,5.1,Ringan
+Lumayan,77,6.6,Sedang
+Lumayan,79,5.7,Sedang
+Cukup Jenuh,18,6.1,Ringan
+Bagus,112,7.9,Intensif
+Jenuh,10,4.7,Ringan
+Jenuh,45,4.2,Ringan
+Biasa Saja,54,8.1,Sedang
+Cukup Jenuh,29,4.1,Ringan
+Lumayan,102,8.7,Intensif
+Biasa Saja,44,7.1,Sedang
+Cukup Jenuh,28,5.7,Ringan
+Biasa Saja,50,7.0,Ringan
+Bagus,87,7.3,Intensif
+Cukup Jenuh,37,3.1,Ringan
+Cukup Jenuh,23,6.0,Ringan
+Bagus,70,7.7,Intensif
+Cukup Jenuh,38,5.8,Ringan
+Biasa Saja,50,4.2,Ringan
+Lumayan,49,6.6,Sedang
+Lumayan,99,6.1,Sedang
+Bagus,112,8.8,Intensif
+Bagus,119,7.8,Intensif
+Lumayan,83,7.1,Intensif
+Lumayan,82,6.0,Sedang
+Biasa Saja,54,6.4,Ringan
+Cukup Jenuh,24,6.3,Ringan
+Lumayan,35,6.6,Sedang
+Cukup Jenuh,39,6.7,Ringan
+Bagus,37,8.0,Intensif
+Lumayan,83,5.2,Sedang
+Bagus,74,8.2,Intensif
+Biasa Saja,45,6.9,Ringan
+Biasa Saja,58,6.2,Ringan
+Biasa Saja,85,6.5,Sedang
+Lumayan,96,6.8,Sedang
+Biasa Saja,61,6.8,Sedang
+Bagus,72,7.5,Intensif
+Biasa Saja,59,5.3,Ringan
+Cukup Jenuh,38,6.4,Ringan
+Lumayan,103,7.0,Sedang
+Lumayan,94,6.1,Sedang
+Lumayan,86,8.1,Intensif
+Cukup Jenuh,48,6.1,Ringan
+Lumayan,54,6.7,Sedang
+Cukup Jenuh,20,4.9,Ringan
+Biasa Saja,78,5.2,Sedang
+Lumayan,48,5.5,Sedang
+Biasa Saja,44,6.8,Ringan
+Lumayan,120,5.5,Sedang
+Biasa Saja,71,6.6,Sedang
+Cukup Jenuh,18,4.4,Ringan
+Lumayan,89,9.0,Intensif
+Biasa Saja,67,7.4,Intensif
+Cukup Jenuh,38,6.1,Ringan
+Biasa Saja,50,5.4,Ringan
+Lumayan,55,5.2,Sedang
+Lumayan,102,6.8,Sedang
+Bagus,110,8.8,Intensif
+Lumayan,70,5.0,Sedang
+Biasa Saja,63,5.0,Sedang
+Biasa Saja,59,5.6,Ringan
+Lumayan,73,8.6,Intensif
+Cukup Jenuh,30,6.7,Ringan
+Biasa Saja,60,8.3,Sedang
+Biasa Saja,45,5.4,Ringan
+Biasa Saja,50,8.2,Sedang
+Jenuh,18,4.6,Ringan
+Bagus,83,7.7,Intensif
+Biasa Saja,59,5.5,Ringan
+Bagus,70,9.0,Intensif
+Bagus,103,7.5,Intensif
+Lumayan,107,8.3,Intensif
+Biasa Saja,34,5.7,Ringan
+Lumayan,74,7.0,Sedang
+Biasa Saja,79,5.3,Sedang
+Biasa Saja,71,8.0,Intensif
+Bagus,127,7.4,Intensif
+Cukup Jenuh,27,4.8,Ringan
+Lumayan,59,6.6,Sedang
+Biasa Saja,65,5.6,Sedang
+Biasa Saja,67,7.0,Sedang
+Cukup Jenuh,22,4.7,Ringan
+Bagus,103,9.0,Intensif
+Cukup Jenuh,28,6.6,Ringan
+Bagus,76,7.3,Intensif
+Biasa Saja,56,5.1,Ringan
+Biasa Saja,73,5.4,Sedang
+Lumayan,46,5.7,Sedang
+Lumayan,77,8.3,Intensif
+Biasa Saja,58,5.4,Ringan
+Biasa Saja,52,6.7,Ringan
+Cukup Jenuh,26,4.9,Ringan
+Cukup Jenuh,40,3.7,Ringan
+Lumayan,52,9.0,Sedang
+Cukup Jenuh,43,6.5,Ringan
+Cukup Jenuh,39,5.9,Ringan
+Lumayan,73,6.6,Sedang
+Bagus,106,7.4,Intensif
+Lumayan,59,6.2,Sedang
+Jenuh,38,4.9,Ringan
+Bagus,104,8.1,Intensif
+Lumayan,68,9.0,Intensif
+Lumayan,48,6.5,Sedang
+Lumayan,55,5.9,Sedang
+Cukup Jenuh,40,6.6,Ringan
+Cukup Jenuh,28,3.8,Ringan
+Biasa Saja,52,5.1,Ringan
+Lumayan,49,7.3,Sedang
+Lumayan,104,6.2,Sedang
+Lumayan,66,5.7,Sedang
+Biasa Saja,50,5.6,Ringan
+Cukup Jenuh,27,6.5,Ringan
+Bagus,118,7.2,Intensif
+Bagus,140,7.2,Intensif
+Cukup Jenuh,32,4.4,Ringan
+Lumayan,68,8.3,Intensif
+Lumayan,23,5.6,Ringan
+Bagus,79,7.8,Intensif
+Biasa Saja,57,4.3,Ringan
+Biasa Saja,54,5.0,Ringan
+Bagus,91,8.3,Intensif
+Cukup Jenuh,34,4.7,Ringan
+Lumayan,109,6.2,Sedang
+Biasa Saja,20,5.2,Ringan
+Biasa Saja,70,5.5,Sedang
+Jenuh,20,4.1,Ringan
+Lumayan,62,9.0,Intensif
+Biasa Saja,66,6.9,Sedang
+Lumayan,59,6.5,Sedang
+Biasa Saja,80,6.6,Sedang
+Lumayan,78,6.0,Sedang
+Lumayan,100,5.3,Sedang
+Lumayan,61,8.3,Intensif
+Lumayan,66,5.8,Sedang
+Bagus,109,8.3,Intensif
+Bagus,121,7.4,Intensif
+Biasa Saja,51,6.0,Ringan
+Lumayan,99,7.5,Intensif
+Cukup Jenuh,44,5.5,Ringan
+Lumayan,110,8.7,Intensif
+Bagus,116,7.3,Intensif
+Bagus,90,7.3,Intensif
+Cukup Jenuh,15,4.9,Ringan
+Bagus,97,7.4,Intensif
+Cukup Jenuh,32,6.2,Ringan
+Jenuh,34,4.5,Ringan
+Biasa Saja,59,6.2,Ringan
+Lumayan,72,8.3,Intensif
+Bagus,118,7.5,Intensif
+Cukup Jenuh,35,7.0,Ringan
+Biasa Saja,45,7.1,Sedang
+Cukup Jenuh,20,6.5,Ringan
+Biasa Saja,80,7.0,Sedang
+Cukup Jenuh,35,3.7,Ringan
+Lumayan,82,7.6,Intensif
+Biasa Saja,62,5.6,Sedang
+Cukup Jenuh,26,6.2,Ringan
+Biasa Saja,33,6.9,Ringan
+Cukup Jenuh,39,4.7,Ringan
+Lumayan,104,6.9,Sedang
+Cukup Jenuh,41,5.3,Ringan
+Biasa Saja,38,4.3,Ringan
+Biasa Saja,49,7.6,Sedang
+Biasa Saja,23,5.3,Ringan
+Lumayan,93,6.8,Sedang
+Bagus,79,9.0,Intensif
+Jenuh,37,4.2,Ringan
+Biasa Saja,42,6.8,Ringan
+Biasa Saja,57,5.7,Ringan
+Lumayan,112,9.0,Intensif
+Bagus,106,8.0,Intensif
+Lumayan,101,6.5,Sedang
+Biasa Saja,48,6.2,Ringan
+Lumayan,88,7.9,Intensif
+Cukup Jenuh,33,4.8,Ringan
+Lumayan,72,5.2,Sedang
+Biasa Saja,64,8.8,Intensif
+Biasa Saja,63,6.8,Sedang
+Bagus,106,8.3,Intensif
+Bagus,88,8.2,Intensif
+Bagus,125,9.0,Intensif
+Biasa Saja,37,4.4,Ringan
+Lumayan,39,6.7,Sedang
+Biasa Saja,52,8.0,Sedang
+Bagus,84,7.3,Intensif
+Biasa Saja,54,4.8,Ringan
+Biasa Saja,81,6.5,Sedang
+Bagus,110,7.9,Intensif
+Biasa Saja,59,5.0,Ringan
+Bagus,97,7.0,Intensif
+Lumayan,70,6.3,Sedang
+Bagus,90,7.0,Intensif
+Bagus,78,7.9,Intensif
+Lumayan,74,5.7,Sedang
+Cukup Jenuh,43,3.0,Ringan
+Biasa Saja,56,6.9,Ringan
+Jenuh,19,4.2,Ringan
+Cukup Jenuh,40,4.8,Ringan
+Lumayan,74,7.2,Intensif
+Lumayan,68,5.3,Sedang
+Cukup Jenuh,26,5.4,Ringan
+Bagus,148,8.0,Intensif
+Bagus,108,7.1,Intensif
+Bagus,131,7.1,Intensif
+Biasa Saja,11,4.9,Ringan
+Biasa Saja,85,5.8,Sedang
+Bagus,136,7.4,Intensif
+Bagus,96,8.6,Intensif
+Lumayan,59,5.5,Sedang
+Lumayan,59,8.2,Sedang
+Cukup Jenuh,32,7.0,Ringan
+Biasa Saja,62,6.0,Sedang
+Lumayan,73,7.8,Intensif
+Biasa Saja,54,5.0,Ringan
+Biasa Saja,72,5.9,Sedang
+Jenuh,27,3.8,Ringan
+Lumayan,96,9.0,Intensif
+Lumayan,71,7.6,Intensif
+Lumayan,58,7.2,Sedang
+Biasa Saja,48,7.8,Sedang
+Lumayan,66,6.0,Sedang
+Lumayan,90,6.9,Sedang
+Bagus,73,9.0,Intensif
+Biasa Saja,58,6.8,Ringan
+Cukup Jenuh,39,6.4,Ringan
+Bagus,123,8.2,Intensif
+Lumayan,94,6.2,Sedang
+Biasa Saja,50,6.5,Ringan
+Bagus,101,7.4,Intensif
+Cukup Jenuh,40,5.3,Ringan
+Biasa Saja,74,6.8,Sedang
+Cukup Jenuh,15,6.0,Ringan
+Cukup Jenuh,28,3.3,Ringan
+Lumayan,94,5.8,Sedang
+Bagus,105,7.8,Intensif
+Lumayan,66,5.7,Sedang
+Lumayan,68,8.9,Intensif
+Jenuh,37,4.2,Ringan
+Lumayan,74,7.1,Intensif
+Bagus,79,7.1,Intensif
+Lumayan,79,5.8,Sedang
+Cukup Jenuh,40,5.9,Ringan
+Lumayan,48,7.8,Sedang
+Biasa Saja,56,3.6,Ringan
+Biasa Saja,57,7.3,Sedang
+Lumayan,88,7.6,Intensif
+Lumayan,70,7.1,Intensif
+Biasa Saja,57,5.1,Ringan
+Lumayan,72,8.2,Intensif
+Lumayan,73,6.9,Sedang
+Biasa Saja,53,5.7,Ringan
+Cukup Jenuh,39,6.2,Ringan
+Lumayan,69,7.3,Intensif
+Bagus,84,7.8,Intensif
+Bagus,131,7.1,Intensif
+Cukup Jenuh,32,3.7,Ringan
+Jenuh,14,4.9,Ringan
+Lumayan,92,7.1,Intensif
+Biasa Saja,52,6.3,Ringan
+Cukup Jenuh,30,6.6,Ringan
+Lumayan,98,6.6,Sedang
+Bagus,118,7.0,Intensif
+Biasa Saja,62,8.0,Intensif
+Bagus,148,7.5,Intensif
+Biasa Saja,27,5.5,Ringan
+Bagus,99,7.8,Intensif
+Lumayan,101,8.9,Intensif
+Cukup Jenuh,42,5.0,Ringan
+Biasa Saja,42,6.1,Ringan
+Lumayan,77,7.1,Intensif
+Biasa Saja,80,6.6,Sedang
+Lumayan,71,6.3,Sedang
+Lumayan,74,5.6,Sedang
+Lumayan,33,6.2,Sedang
+Biasa Saja,66,4.2,Ringan
+Lumayan,75,6.2,Sedang
+Cukup Jenuh,27,6.0,Ringan
+Bagus,149,7.2,Intensif
+Lumayan,88,6.3,Sedang
+Lumayan,80,5.2,Sedang
+Bagus,95,8.1,Intensif
+Lumayan,61,5.9,Sedang
+Jenuh,10,3.8,Ringan
+Bagus,125,7.7,Intensif
+Lumayan,77,5.8,Sedang
+Biasa Saja,45,6.7,Ringan
+Biasa Saja,41,6.1,Ringan
+Biasa Saja,50,5.2,Ringan
+Lumayan,76,6.3,Sedang
+Lumayan,71,7.3,Intensif
+Cukup Jenuh,49,4.9,Ringan
+Cukup Jenuh,42,6.8,Ringan
+Cukup Jenuh,38,5.6,Ringan
+Lumayan,60,6.6,Sedang
+Lumayan,70,6.5,Sedang
+Bagus,85,9.0,Intensif
+Lumayan,54,6.7,Sedang
+Biasa Saja,74,7.8,Intensif
+Biasa Saja,81,5.5,Sedang
+Biasa Saja,38,5.1,Ringan
+Biasa Saja,51,8.6,Sedang
+Cukup Jenuh,28,3.8,Ringan
+Lumayan,41,8.5,Sedang
+Lumayan,104,5.0,Sedang
+Jenuh,22,4.8,Ringan
+Lumayan,66,5.1,Sedang
+Bagus,122,8.5,Intensif
+Lumayan,60,6.3,Sedang
+Bagus,127,7.9,Intensif
+Bagus,85,9.0,Intensif
+Biasa Saja,54,5.8,Ringan
+Lumayan,83,6.3,Sedang
+Lumayan,67,6.4,Sedang
+Jenuh,21,3.8,Ringan
+Lumayan,68,7.5,Intensif
+Cukup Jenuh,20,4.2,Ringan
+Cukup Jenuh,36,4.7,Ringan
+Biasa Saja,58,8.9,Sedang
+Biasa Saja,46,3.8,Ringan
+Jenuh,16,4.6,Ringan
+Cukup Jenuh,42,3.5,Ringan
+Biasa Saja,38,6.2,Ringan
+Jenuh,22,3.0,Ringan
+Biasa Saja,68,6.9,Sedang
+Cukup Jenuh,39,4.7,Ringan
+Biasa Saja,46,6.5,Ringan
+Biasa Saja,62,6.9,Sedang
+Biasa Saja,59,6.0,Ringan
+Biasa Saja,49,7.4,Sedang
+Cukup Jenuh,23,6.3,Ringan
+Lumayan,73,8.2,Intensif
+Biasa Saja,42,4.3,Ringan
+Biasa Saja,75,5.6,Sedang
+Biasa Saja,50,9.0,Sedang
+Cukup Jenuh,37,6.4,Ringan
+Biasa Saja,77,7.1,Intensif
+Cukup Jenuh,33,6.2,Ringan
+Biasa Saja,51,8.2,Sedang
+Lumayan,16,7.4,Sedang
+Lumayan,70,9.0,Intensif
+Lumayan,83,5.3,Sedang
+Bagus,84,8.2,Intensif
+Bagus,105,7.9,Intensif
+Bagus,109,7.3,Intensif
+Lumayan,90,7.7,Intensif
+Lumayan,83,7.4,Intensif
+Lumayan,57,6.5,Sedang
+Biasa Saja,30,4.0,Ringan
+Cukup Jenuh,31,5.3,Ringan
+Lumayan,87,6.5,Sedang
+Biasa Saja,42,6.5,Ringan
+Lumayan,76,6.2,Sedang
+Biasa Saja,43,4.1,Ringan
+Biasa Saja,45,7.8,Sedang
+Bagus,91,7.7,Intensif
+Cukup Jenuh,33,4.2,Ringan
+Lumayan,80,6.6,Sedang
+Cukup Jenuh,38,5.2,Ringan
+Cukup Jenuh,36,3.0,Ringan
+Biasa Saja,57,5.5,Ringan
+Biasa Saja,40,7.7,Sedang
+Biasa Saja,75,6.9,Sedang
+Bagus,84,7.1,Intensif
+Biasa Saja,54,3.7,Ringan
+Biasa Saja,57,5.7,Ringan
+Lumayan,75,5.6,Sedang
+Cukup Jenuh,36,6.0,Ringan
+Lumayan,97,5.2,Sedang
+Jenuh,16,4.5,Ringan
+Biasa Saja,45,8.0,Sedang
+Bagus,92,7.8,Intensif
+Lumayan,114,6.4,Sedang
+Bagus,113,8.6,Intensif
+Lumayan,58,7.3,Sedang
+Lumayan,78,6.6,Sedang
+Biasa Saja,50,6.8,Ringan
+Cukup Jenuh,30,6.3,Ringan
+Cukup Jenuh,35,3.0,Ringan
+Lumayan,50,5.7,Sedang
+Biasa Saja,50,8.4,Sedang
+Bagus,72,7.4,Intensif
+Biasa Saja,60,6.1,Ringan
+Biasa Saja,67,4.2,Ringan
+Bagus,111,8.4,Intensif
+Jenuh,41,4.7,Ringan
+Lumayan,72,6.8,Sedang
+Lumayan,71,5.7,Sedang
+Jenuh,26,3.9,Ringan
+Biasa Saja,40,6.2,Ringan
+Lumayan,26,7.7,Sedang
+Cukup Jenuh,32,6.5,Ringan
+Bagus,99,9.0,Intensif
+Lumayan,89,7.6,Intensif
+Lumayan,78,6.1,Sedang
+Lumayan,105,6.7,Sedang
+Biasa Saja,34,8.0,Sedang
+Biasa Saja,58,6.8,Ringan
+Cukup Jenuh,25,3.1,Ringan
+Biasa Saja,30,6.3,Ringan
+Cukup Jenuh,34,5.5,Ringan
+Cukup Jenuh,37,6.5,Ringan
+Lumayan,61,6.2,Sedang
+Biasa Saja,50,5.9,Ringan
+Bagus,123,7.1,Intensif
+Bagus,117,7.2,Intensif
+Cukup Jenuh,43,4.7,Ringan
+Biasa Saja,61,6.1,Sedang
+Lumayan,87,7.0,Sedang
+Lumayan,116,5.2,Sedang
+Lumayan,86,6.6,Sedang
+Bagus,95,9.0,Intensif
+Bagus,82,7.8,Intensif
+Biasa Saja,78,3.2,Ringan
+Lumayan,50,6.2,Sedang
+Cukup Jenuh,40,5.9,Ringan
+Lumayan,81,6.6,Sedang
+Bagus,67,9.0,Intensif
+Lumayan,75,6.7,Sedang
+Lumayan,75,7.1,Intensif
+Biasa Saja,36,6.4,Ringan
+Lumayan,49,7.6,Sedang
+Biasa Saja,36,6.8,Ringan
+Lumayan,74,6.0,Sedang
+Bagus,90,7.4,Intensif
+Cukup Jenuh,41,4.6,Ringan
+Bagus,109,7.2,Intensif
+Biasa Saja,54,5.8,Ringan
+Lumayan,81,5.3,Sedang
+Biasa Saja,52,7.6,Sedang
+Jenuh,10,4.5,Ringan
+Jenuh,35,3.7,Ringan
+Bagus,63,7.1,Intensif
+Biasa Saja,65,4.7,Ringan
+Biasa Saja,55,4.2,Ringan
+Cukup Jenuh,41,5.9,Ringan
+Cukup Jenuh,54,4.2,Ringan
+Bagus,97,8.9,Intensif
+Biasa Saja,50,7.7,Sedang
+Biasa Saja,68,6.2,Sedang
+Lumayan,10,6.0,Ringan
+Cukup Jenuh,38,4.6,Ringan
+Lumayan,83,6.0,Sedang
+Jenuh,26,3.0,Ringan
+Biasa Saja,69,5.8,Sedang
+Bagus,118,7.5,Intensif
+Lumayan,96,6.7,Sedang
+Lumayan,73,5.7,Sedang
+Bagus,43,7.5,Intensif
+Biasa Saja,38,4.9,Ringan
+Biasa Saja,67,8.3,Intensif
+Cukup Jenuh,28,3.9,Ringan
+Bagus,106,7.8,Intensif
+Biasa Saja,51,7.7,Sedang
+Lumayan,40,8.7,Sedang
+Biasa Saja,42,6.6,Ringan
+Lumayan,63,7.2,Intensif
+Bagus,64,7.5,Intensif
+Bagus,111,8.0,Intensif
+Bagus,157,9.0,Intensif
+Bagus,114,8.1,Intensif
+Biasa Saja,62,6.8,Sedang
+Cukup Jenuh,41,5.9,Ringan
+Lumayan,52,5.7,Sedang
+Lumayan,93,8.1,Intensif
+Lumayan,88,6.5,Sedang
+Lumayan,64,7.2,Intensif
+Cukup Jenuh,34,6.1,Ringan
+Lumayan,84,6.4,Sedang
+Lumayan,86,7.8,Intensif
+Biasa Saja,55,9.0,Sedang
+Lumayan,64,7.2,Intensif
+Cukup Jenuh,32,5.0,Ringan
+Lumayan,57,5.8,Sedang
+Lumayan,91,7.1,Intensif
+Lumayan,47,7.5,Sedang
+Lumayan,62,6.6,Sedang
+Cukup Jenuh,21,5.0,Ringan
+Bagus,77,8.3,Intensif
+Biasa Saja,29,5.7,Ringan
+Lumayan,71,5.9,Sedang
+Biasa Saja,62,6.7,Sedang
+Cukup Jenuh,40,4.7,Ringan
+Lumayan,80,5.9,Sedang
+Cukup Jenuh,18,5.7,Ringan
+Lumayan,59,6.5,Sedang
+Lumayan,62,8.8,Intensif
+Cukup Jenuh,25,3.7,Ringan
+Biasa Saja,45,5.3,Ringan
+Biasa Saja,39,5.1,Ringan
+Lumayan,82,6.6,Sedang
+Biasa Saja,50,5.7,Ringan
+Bagus,119,8.7,Intensif
+Lumayan,52,7.7,Sedang
+Biasa Saja,68,4.1,Ringan
+Biasa Saja,59,8.0,Sedang
+Biasa Saja,59,6.2,Ringan
+Bagus,118,8.1,Intensif
+Lumayan,69,6.6,Sedang
+Bagus,93,7.4,Intensif
+Biasa Saja,61,5.9,Sedang
+Lumayan,71,6.5,Sedang
+Biasa Saja,57,7.0,Ringan
+Biasa Saja,30,5.8,Ringan
+Biasa Saja,53,6.5,Ringan
+Jenuh,31,4.6,Ringan
+Bagus,106,7.0,Intensif
+Lumayan,61,5.3,Sedang
+Lumayan,68,9.0,Intensif
+Cukup Jenuh,37,5.6,Ringan
+Biasa Saja,61,7.1,Intensif
+Lumayan,89,6.6,Sedang
+Lumayan,88,8.6,Intensif
+Lumayan,75,5.4,Sedang
+Biasa Saja,66,6.7,Sedang
+Cukup Jenuh,21,5.3,Ringan
+Bagus,107,8.2,Intensif
+Jenuh,31,4.5,Ringan
+Cukup Jenuh,14,4.1,Ringan
+Biasa Saja,67,5.7,Sedang
+Biasa Saja,55,5.5,Ringan
+Biasa Saja,76,5.8,Sedang
+Lumayan,65,5.5,Sedang
+Biasa Saja,60,7.7,Sedang
+Lumayan,81,5.5,Sedang
+Cukup Jenuh,26,4.9,Ringan
+Cukup Jenuh,40,3.3,Ringan
+Bagus,105,7.2,Intensif
+Cukup Jenuh,21,4.8,Ringan
+Biasa Saja,42,6.2,Ringan
+Jenuh,25,4.4,Ringan
+Biasa Saja,62,7.9,Intensif
+Biasa Saja,78,5.9,Sedang
+Bagus,76,7.2,Intensif
+Biasa Saja,66,4.9,Ringan
+Lumayan,93,8.0,Intensif
+Lumayan,83,6.1,Sedang
+Biasa Saja,50,6.2,Ringan
+Biasa Saja,63,4.4,Ringan
+Biasa Saja,46,4.4,Ringan
+Biasa Saja,61,6.7,Sedang
+Cukup Jenuh,16,4.1,Ringan
+Bagus,116,8.1,Intensif
+Jenuh,25,3.0,Ringan
+Bagus,139,7.3,Intensif
+Lumayan,80,5.1,Sedang
+Bagus,78,7.2,Intensif
+Bagus,90,7.8,Intensif
+Biasa Saja,58,3.0,Ringan
+Lumayan,52,9.0,Sedang
+Biasa Saja,67,4.9,Ringan
+Cukup Jenuh,52,6.9,Ringan
+Bagus,101,7.0,Intensif
+Bagus,82,8.1,Intensif
+Biasa Saja,50,7.0,Ringan
+Lumayan,73,5.3,Sedang
+Biasa Saja,69,6.1,Sedang
+Lumayan,79,5.6,Sedang
+Cukup Jenuh,48,6.1,Ringan
+Biasa Saja,64,3.7,Ringan
+Biasa Saja,32,4.6,Ringan
+Biasa Saja,21,5.6,Ringan
+Bagus,114,8.4,Intensif
+Bagus,72,7.5,Intensif
+Lumayan,105,6.9,Sedang
+Lumayan,104,7.2,Intensif
+Lumayan,87,7.6,Intensif
+Lumayan,57,7.1,Sedang
+Lumayan,85,5.4,Sedang
+Cukup Jenuh,39,6.9,Ringan
+Lumayan,103,7.3,Intensif
+Biasa Saja,69,6.8,Sedang
+Biasa Saja,36,6.4,Ringan
+Lumayan,61,5.2,Sedang
+Biasa Saja,44,5.4,Ringan
+Lumayan,93,6.5,Sedang
+Lumayan,65,6.8,Sedang
+Lumayan,95,7.3,Intensif
+Bagus,73,7.9,Intensif
+Lumayan,86,6.8,Sedang
+Biasa Saja,45,5.3,Ringan
+Bagus,67,7.2,Intensif
+Lumayan,85,8.1,Intensif
+Lumayan,86,5.5,Sedang
+Biasa Saja,76,5.1,Sedang
+Bagus,63,7.0,Intensif
+Jenuh,36,4.6,Ringan
+Cukup Jenuh,42,6.0,Ringan
+Biasa Saja,64,5.8,Sedang
+Biasa Saja,64,7.6,Intensif
+Lumayan,64,6.4,Sedang
+Biasa Saja,52,6.4,Ringan
+Cukup Jenuh,41,3.8,Ringan
+Lumayan,101,7.4,Intensif
+Lumayan,115,8.1,Intensif
+Biasa Saja,70,6.9,Sedang
+Bagus,85,9.0,Intensif
+Biasa Saja,34,7.2,Sedang
+Biasa Saja,63,6.2,Sedang
+Lumayan,92,7.4,Intensif
+Biasa Saja,45,6.4,Ringan
+Jenuh,39,4.9,Ringan
+Biasa Saja,35,6.5,Ringan
+Bagus,121,8.0,Intensif
+Lumayan,54,7.1,Sedang
+Bagus,77,7.3,Intensif
+Bagus,104,7.9,Intensif
+Biasa Saja,67,8.8,Intensif
+Biasa Saja,100,5.0,Sedang
+Lumayan,51,6.9,Sedang
+Biasa Saja,66,6.7,Sedang
+Lumayan,71,5.8,Sedang
+Biasa Saja,52,5.3,Ringan
+Jenuh,31,4.8,Ringan
+Biasa Saja,58,6.3,Ringan
+Biasa Saja,45,7.8,Sedang
+Biasa Saja,56,6.9,Ringan
+Cukup Jenuh,33,5.7,Ringan
+Biasa Saja,59,7.0,Ringan
+Lumayan,60,6.2,Sedang
+Biasa Saja,44,5.5,Ringan
+Lumayan,69,5.8,Sedang
+Jenuh,20,3.9,Ringan
+Biasa Saja,39,4.7,Ringan
+Lumayan,63,5.9,Sedang
+Lumayan,78,5.8,Sedang
+Lumayan,81,5.9,Sedang
+Lumayan,58,6.5,Sedang
+Bagus,100,8.5,Intensif
+Lumayan,128,6.8,Sedang
+Cukup Jenuh,42,4.4,Ringan
+Lumayan,58,6.4,Sedang
+Jenuh,10,4.7,Ringan
+Lumayan,91,9.0,Intensif
+Biasa Saja,67,5.9,Sedang
+Lumayan,91,6.1,Sedang
+Bagus,93,9.0,Intensif
+Bagus,93,8.4,Intensif
+Lumayan,96,6.1,Sedang
+Bagus,89,8.8,Intensif
+Biasa Saja,36,6.9,Ringan
+Bagus,91,9.0,Intensif
+Cukup Jenuh,43,3.4,Ringan
+Lumayan,53,6.8,Sedang
+Lumayan,60,5.1,Sedang
+Cukup Jenuh,43,5.7,Ringan
+Lumayan,83,6.6,Sedang
+Bagus,84,8.3,Intensif
+Cukup Jenuh,26,6.7,Ringan
+Biasa Saja,62,5.7,Sedang
+Cukup Jenuh,28,5.5,Ringan
+Lumayan,57,5.2,Sedang
+Biasa Saja,60,6.9,Ringan
+Biasa Saja,61,5.5,Sedang
+Biasa Saja,51,5.4,Ringan
+Lumayan,61,5.1,Sedang
+Biasa Saja,68,6.4,Sedang
+Biasa Saja,61,5.6,Sedang
+Biasa Saja,33,9.0,Sedang
+Cukup Jenuh,48,5.7,Ringan
+Biasa Saja,38,5.6,Ringan
+Lumayan,79,7.7,Intensif
+Lumayan,75,5.5,Sedang
+Jenuh,42,3.4,Ringan
+Biasa Saja,50,4.2,Ringan
+Biasa Saja,59,5.6,Ringan
+Lumayan,64,5.3,Sedang
+Biasa Saja,73,5.8,Sedang
+Lumayan,66,7.0,Sedang
+Biasa Saja,82,7.5,Intensif
+Lumayan,71,5.5,Sedang
+Biasa Saja,74,6.6,Sedang
+Lumayan,50,5.4,Sedang
+Cukup Jenuh,37,6.6,Ringan
+Lumayan,45,7.5,Sedang
+Biasa Saja,48,7.8,Sedang
+Lumayan,85,7.0,Sedang
+Biasa Saja,77,7.8,Intensif
+Biasa Saja,35,4.9,Ringan
+Cukup Jenuh,31,4.0,Ringan
+Cukup Jenuh,23,5.8,Ringan
+Lumayan,52,7.0,Sedang
+Biasa Saja,62,6.4,Sedang
+Biasa Saja,30,6.2,Ringan
+Lumayan,91,7.7,Intensif
+Biasa Saja,81,5.1,Sedang
+Biasa Saja,63,6.1,Sedang
+Lumayan,62,5.3,Sedang
+Cukup Jenuh,16,5.2,Ringan
+Lumayan,63,7.0,Sedang
+Lumayan,37,6.4,Sedang
+Biasa Saja,84,4.4,Ringan
+Cukup Jenuh,24,6.7,Ringan
+Lumayan,58,8.4,Sedang
+Biasa Saja,67,9.0,Intensif
+Biasa Saja,40,4.0,Ringan
+Bagus,105,7.2,Intensif
+Biasa Saja,91,4.8,Ringan
+Biasa Saja,44,6.7,Ringan
+Biasa Saja,51,6.6,Ringan
+Jenuh,30,3.9,Ringan
+Biasa Saja,42,3.6,Ringan
+Biasa Saja,50,6.7,Ringan
+Bagus,68,7.3,Intensif
+Jenuh,35,3.7,Ringan
+Lumayan,101,6.4,Sedang
+Bagus,84,8.2,Intensif
+Jenuh,10,4.2,Ringan
+Cukup Jenuh,21,5.7,Ringan
+Biasa Saja,72,5.9,Sedang
+Bagus,91,7.1,Intensif
+Biasa Saja,61,6.8,Sedang
+Biasa Saja,47,6.5,Ringan
+Biasa Saja,40,7.2,Sedang
+Bagus,104,9.0,Intensif
+Biasa Saja,51,5.1,Ringan
+Lumayan,84,6.8,Sedang
+Bagus,54,7.6,Intensif
+Lumayan,83,7.1,Intensif
+Biasa Saja,44,4.4,Ringan
+Cukup Jenuh,17,4.9,Ringan
+Lumayan,79,5.7,Sedang
+Cukup Jenuh,31,5.9,Ringan
+Lumayan,64,6.4,Sedang
+Lumayan,95,6.7,Sedang
+Biasa Saja,55,9.0,Sedang
+Biasa Saja,51,7.0,Ringan
+Biasa Saja,65,6.8,Sedang
+Lumayan,63,8.7,Intensif
+Biasa Saja,82,5.4,Sedang
+Cukup Jenuh,37,6.1,Ringan
+Bagus,97,8.3,Intensif
+Bagus,90,7.6,Intensif
+Biasa Saja,73,6.4,Sedang
+Bagus,59,7.5,Intensif
+Biasa Saja,61,6.4,Sedang
+Biasa Saja,37,8.5,Sedang
+Biasa Saja,63,6.3,Sedang
+Biasa Saja,49,6.6,Ringan
+Cukup Jenuh,38,5.4,Ringan
+Bagus,71,7.2,Intensif
+Bagus,57,7.2,Intensif
+Biasa Saja,49,6.0,Ringan
+Bagus,100,7.1,Intensif
+Lumayan,70,5.2,Sedang
+Bagus,128,8.1,Intensif
+Cukup Jenuh,29,5.9,Ringan
+Lumayan,89,6.3,Sedang
+Lumayan,64,6.6,Sedang
+Lumayan,66,6.6,Sedang
+Lumayan,95,5.5,Sedang
+Jenuh,39,3.9,Ringan
+Jenuh,28,3.9,Ringan
+Bagus,89,7.2,Intensif
+Biasa Saja,56,5.6,Ringan
+Bagus,104,7.1,Intensif
+Biasa Saja,46,7.5,Sedang
+Lumayan,57,6.3,Sedang
+Bagus,79,7.5,Intensif
+Cukup Jenuh,31,3.0,Ringan
+Bagus,47,7.5,Intensif
+Lumayan,81,8.5,Intensif
+Lumayan,71,6.2,Sedang
+Cukup Jenuh,17,4.8,Ringan
+Bagus,77,8.9,Intensif
+Jenuh,32,4.5,Ringan
+Lumayan,87,6.0,Sedang
+Cukup Jenuh,29,4.3,Ringan
+Biasa Saja,69,7.3,Intensif
+Jenuh,21,4.8,Ringan
+Bagus,72,8.6,Intensif
+Biasa Saja,82,7.8,Intensif
+Biasa Saja,27,6.1,Ringan
+Cukup Jenuh,16,4.2,Ringan
+Bagus,99,8.2,Intensif
+Cukup Jenuh,39,6.8,Ringan
+Bagus,100,8.7,Intensif
+Biasa Saja,44,5.1,Ringan
+Bagus,87,7.4,Intensif
+Bagus,104,7.9,Intensif
+Lumayan,108,7.9,Intensif
+Bagus,130,7.6,Intensif
+Bagus,79,7.9,Intensif
+Cukup Jenuh,42,4.9,Ringan
+Lumayan,89,5.3,Sedang
+Cukup Jenuh,25,6.9,Ringan
+Cukup Jenuh,13,6.1,Ringan
+Lumayan,34,5.9,Sedang
+Lumayan,68,6.2,Sedang
+Cukup Jenuh,54,4.9,Ringan
+Biasa Saja,41,5.7,Ringan
+Biasa Saja,69,6.8,Sedang
+Lumayan,75,5.3,Sedang
+Jenuh,35,4.0,Ringan
+Jenuh,22,4.9,Ringan
+Biasa Saja,27,6.8,Ringan
+Biasa Saja,57,6.7,Ringan
+Bagus,97,7.1,Intensif
+Lumayan,52,7.5,Sedang
+Biasa Saja,55,6.1,Ringan
+Lumayan,50,8.2,Sedang
+Lumayan,67,5.2,Sedang
+Biasa Saja,59,5.4,Ringan
+Bagus,109,7.8,Intensif
+Biasa Saja,43,4.6,Ringan
+Biasa Saja,57,8.3,Sedang
+Bagus,150,7.4,Intensif
+Cukup Jenuh,43,3.3,Ringan
+Biasa Saja,46,4.4,Ringan
+Lumayan,69,5.6,Sedang
+Biasa Saja,59,6.5,Ringan
+Bagus,101,8.4,Intensif
+Biasa Saja,30,5.3,Ringan
+Biasa Saja,72,4.8,Ringan
+Biasa Saja,59,5.1,Ringan
+Lumayan,96,8.2,Intensif
+Biasa Saja,71,6.5,Sedang
+Biasa Saja,61,4.7,Ringan
+Biasa Saja,28,5.8,Ringan
+Lumayan,83,6.0,Sedang
+Lumayan,62,9.0,Intensif
+Biasa Saja,41,6.8,Ringan
+Biasa Saja,35,7.5,Sedang
+Biasa Saja,46,6.5,Ringan
+Biasa Saja,38,5.2,Ringan
+Bagus,106,8.9,Intensif
+Lumayan,118,5.7,Sedang
+Bagus,130,7.3,Intensif
+Biasa Saja,52,5.9,Ringan
+Cukup Jenuh,47,5.0,Ringan
+Bagus,83,8.6,Intensif
+Bagus,92,7.5,Intensif
+Cukup Jenuh,25,6.8,Ringan
+Lumayan,71,5.6,Sedang
+Cukup Jenuh,35,4.6,Ringan
+Biasa Saja,29,4.8,Ringan
+Lumayan,94,6.2,Sedang
+Biasa Saja,84,5.4,Sedang
+Cukup Jenuh,40,6.8,Ringan
+Biasa Saja,37,6.4,Ringan
+Cukup Jenuh,49,3.8,Ringan
+Lumayan,55,6.1,Sedang
+Lumayan,88,5.2,Sedang
+Biasa Saja,72,9.0,Intensif
+Jenuh,34,3.7,Ringan
+Biasa Saja,56,5.3,Ringan
+Lumayan,91,6.2,Sedang
+Biasa Saja,53,6.4,Ringan
+Cukup Jenuh,36,5.4,Ringan
+Biasa Saja,77,7.3,Intensif
+Biasa Saja,42,6.4,Ringan
+Bagus,106,7.2,Intensif
+Bagus,78,7.3,Intensif
+Lumayan,24,7.2,Sedang
+Biasa Saja,62,6.8,Sedang
+Biasa Saja,48,5.5,Ringan
+Biasa Saja,77,4.6,Ringan
+Bagus,99,7.8,Intensif
+Lumayan,46,6.1,Sedang
+Lumayan,83,7.1,Intensif
+Lumayan,63,8.2,Intensif
+Lumayan,97,7.2,Intensif
+Jenuh,42,4.2,Ringan
+Bagus,112,9.0,Intensif
+Bagus,133,8.2,Intensif
+Biasa Saja,45,6.7,Ringan
+Cukup Jenuh,36,4.2,Ringan
+Lumayan,58,6.3,Sedang
+Lumayan,64,5.7,Sedang
+Biasa Saja,46,6.3,Ringan
+Jenuh,21,3.0,Ringan
+Lumayan,51,6.5,Sedang
+Biasa Saja,43,6.7,Ringan
+Cukup Jenuh,45,6.7,Ringan
+Bagus,106,9.0,Intensif
+Lumayan,70,5.8,Sedang
+Cukup Jenuh,36,4.0,Ringan
+Bagus,52,8.0,Intensif
+Cukup Jenuh,52,4.8,Ringan
+Lumayan,73,6.0,Sedang
+Biasa Saja,62,6.7,Sedang
+Lumayan,43,5.1,Sedang
+Lumayan,95,7.4,Intensif
+Bagus,94,7.7,Intensif
+Biasa Saja,35,5.2,Ringan
+Lumayan,76,6.6,Sedang
+Jenuh,10,4.2,Ringan
+Bagus,84,7.3,Intensif
+Biasa Saja,78,5.7,Sedang
+Biasa Saja,62,7.2,Intensif
+Lumayan,67,6.7,Sedang
+Bagus,50,8.4,Intensif
+Lumayan,75,6.7,Sedang
+Lumayan,107,5.1,Sedang
+Bagus,71,8.6,Intensif
+Cukup Jenuh,24,3.8,Ringan
+Cukup Jenuh,37,4.7,Ringan
+Bagus,126,9.0,Intensif
+Lumayan,62,8.3,Intensif
+Lumayan,53,7.8,Sedang
+Lumayan,91,7.5,Intensif
+Biasa Saja,54,4.8,Ringan
+Lumayan,45,9.0,Sedang
+Jenuh,24,3.7,Ringan
+Cukup Jenuh,31,6.6,Ringan
+Lumayan,49,6.3,Sedang
+Bagus,137,7.8,Intensif
+Bagus,96,7.9,Intensif
+Lumayan,78,7.9,Intensif
+Biasa Saja,74,6.1,Sedang
+Lumayan,91,6.7,Sedang
+Lumayan,62,5.3,Sedang
+Lumayan,38,7.3,Sedang
+Bagus,70,9.0,Intensif
+Biasa Saja,56,4.3,Ringan
+Bagus,87,8.4,Intensif
+Lumayan,98,8.5,Intensif
+Lumayan,45,9.0,Sedang
+Biasa Saja,57,7.2,Sedang
+Cukup Jenuh,45,5.0,Ringan
+Lumayan,84,6.1,Sedang
+Bagus,95,9.0,Intensif
+Bagus,110,7.7,Intensif
+Jenuh,20,4.5,Ringan
+Bagus,98,7.3,Intensif
+Lumayan,89,7.5,Intensif
+Lumayan,83,6.4,Sedang
+Lumayan,92,8.3,Intensif
+Lumayan,45,6.5,Sedang
+Lumayan,56,9.0,Sedang
+Lumayan,46,5.7,Sedang
+Biasa Saja,45,7.4,Sedang
+Biasa Saja,44,8.5,Sedang
+Cukup Jenuh,38,6.0,Ringan
+Biasa Saja,37,4.2,Ringan
+Lumayan,74,5.0,Sedang
+Biasa Saja,46,8.0,Sedang
+Biasa Saja,48,7.7,Sedang
+Biasa Saja,61,5.7,Sedang
+Lumayan,82,6.7,Sedang
+Lumayan,75,9.0,Intensif
+Cukup Jenuh,27,6.0,Ringan
+Biasa Saja,60,6.3,Ringan
+Biasa Saja,63,7.6,Intensif
+Bagus,86,7.7,Intensif
+Lumayan,92,8.0,Intensif
+Bagus,87,7.3,Intensif
+Biasa Saja,52,6.6,Ringan
+Lumayan,95,6.0,Sedang
+Lumayan,99,6.8,Sedang
+Biasa Saja,82,6.6,Sedang
+Biasa Saja,52,8.4,Sedang
+Cukup Jenuh,38,5.6,Ringan
+Bagus,116,8.3,Intensif
+Bagus,107,7.0,Intensif
+Bagus,90,7.9,Intensif
+Biasa Saja,57,6.6,Ringan
+Cukup Jenuh,26,5.1,Ringan
+Bagus,80,8.0,Intensif
+Bagus,95,7.1,Intensif
+Cukup Jenuh,22,4.4,Ringan
+Lumayan,71,8.0,Intensif
+Jenuh,25,4.8,Ringan
+Biasa Saja,53,6.2,Ringan
+Cukup Jenuh,52,4.2,Ringan
+Cukup Jenuh,40,5.6,Ringan
+Biasa Saja,82,5.0,Sedang
+Lumayan,58,7.8,Sedang
+Biasa Saja,29,7.8,Ringan
+Bagus,92,7.7,Intensif
+Biasa Saja,48,4.4,Ringan
+Lumayan,85,5.4,Sedang
+Cukup Jenuh,32,6.7,Ringan
+Biasa Saja,52,5.0,Ringan
+Cukup Jenuh,20,4.6,Ringan
+Lumayan,81,5.6,Sedang
+Cukup Jenuh,30,6.3,Ringan
+Biasa Saja,25,5.5,Ringan
+Biasa Saja,55,8.2,Sedang
+Biasa Saja,54,6.9,Ringan
+Cukup Jenuh,18,6.9,Ringan
+Lumayan,101,5.0,Sedang
+Jenuh,19,4.4,Ringan
+Bagus,85,8.0,Intensif
+Biasa Saja,43,4.9,Ringan
+Cukup Jenuh,39,3.8,Ringan
+Biasa Saja,50,7.9,Sedang
+Biasa Saja,53,3.4,Ringan
+Cukup Jenuh,24,4.9,Ringan
+Bagus,83,7.2,Intensif
+Lumayan,81,5.2,Sedang
+Lumayan,101,6.8,Sedang
+Cukup Jenuh,37,6.2,Ringan
+Biasa Saja,50,6.5,Ringan
+Lumayan,57,5.5,Sedang
+Cukup Jenuh,18,4.4,Ringan
+Bagus,77,7.2,Intensif
+Biasa Saja,25,6.6,Ringan
+Bagus,121,7.7,Intensif
+Lumayan,76,5.2,Sedang
+Lumayan,73,5.7,Sedang
+Lumayan,72,5.9,Sedang
+Bagus,92,7.3,Intensif
+Cukup Jenuh,37,5.9,Ringan
+Bagus,83,8.5,Intensif
+Biasa Saja,62,4.7,Ringan
+Cukup Jenuh,43,6.9,Ringan
+Lumayan,64,6.2,Sedang
+Biasa Saja,74,4.4,Ringan
+Bagus,102,8.4,Intensif
+Lumayan,68,6.1,Sedang
+Lumayan,47,8.0,Sedang
+Cukup Jenuh,49,5.0,Ringan
+Cukup Jenuh,20,6.3,Ringan
+Biasa Saja,67,6.0,Sedang
+Biasa Saja,52,6.0,Ringan
+Lumayan,47,5.6,Sedang
+Lumayan,59,5.8,Sedang
+Cukup Jenuh,34,4.9,Ringan
+Cukup Jenuh,51,7.0,Ringan
+Bagus,143,8.8,Intensif
+Jenuh,10,4.9,Ringan
+Lumayan,72,7.1,Intensif
+Bagus,99,7.9,Intensif
+Lumayan,41,6.1,Sedang
+Biasa Saja,57,7.0,Ringan
+Biasa Saja,53,6.9,Ringan
+Jenuh,23,3.2,Ringan
+Biasa Saja,60,8.8,Sedang
+Cukup Jenuh,15,5.3,Ringan
+Biasa Saja,46,8.3,Sedang
+Biasa Saja,65,8.6,Intensif
+Lumayan,96,6.0,Sedang
+Bagus,76,9.0,Intensif
+Biasa Saja,74,5.4,Sedang
+Lumayan,60,7.4,Sedang
+Biasa Saja,41,5.5,Ringan
+Jenuh,24,4.3,Ringan
+Cukup Jenuh,10,5.2,Ringan
+Bagus,99,9.0,Intensif
+Biasa Saja,52,4.9,Ringan
+Lumayan,84,7.9,Intensif
+Lumayan,60,7.2,Sedang
+Biasa Saja,66,7.8,Intensif
+Cukup Jenuh,43,3.7,Ringan
+Cukup Jenuh,27,6.0,Ringan
+Cukup Jenuh,50,4.0,Ringan
+Cukup Jenuh,44,5.9,Ringan
+Cukup Jenuh,33,6.6,Ringan
+Lumayan,49,6.1,Sedang
+Biasa Saja,82,7.0,Sedang
+Lumayan,62,5.6,Sedang
+Biasa Saja,26,7.4,Ringan
+Cukup Jenuh,53,5.4,Ringan
+Biasa Saja,57,7.0,Ringan
+Lumayan,82,5.6,Sedang
+Lumayan,100,9.0,Intensif
+Biasa Saja,38,5.9,Ringan
+Biasa Saja,56,6.6,Ringan
+Lumayan,54,7.4,Sedang
+Biasa Saja,92,6.1,Sedang
+Lumayan,33,6.9,Sedang
+Lumayan,85,5.7,Sedang
+Bagus,79,9.0,Intensif
+Bagus,60,7.2,Intensif
+Jenuh,25,3.4,Ringan
+Lumayan,64,6.5,Sedang
+Bagus,102,9.0,Intensif
+Bagus,102,9.0,Intensif
+Biasa Saja,45,3.0,Ringan
+Biasa Saja,45,5.4,Ringan
+Lumayan,78,5.0,Sedang
+Bagus,90,8.3,Intensif
+Biasa Saja,53,5.7,Ringan
+Bagus,131,9.0,Intensif
+Lumayan,68,5.5,Sedang
+Cukup Jenuh,31,6.8,Ringan
+Bagus,111,8.9,Intensif
+Biasa Saja,87,5.4,Sedang
+Lumayan,94,5.3,Sedang
+Lumayan,74,7.8,Intensif
+Cukup Jenuh,37,4.1,Ringan
+Biasa Saja,72,6.8,Sedang
+Biasa Saja,60,6.3,Ringan
+Cukup Jenuh,29,6.9,Ringan
+Cukup Jenuh,37,5.0,Ringan
+Cukup Jenuh,49,5.7,Ringan
+Lumayan,80,7.6,Intensif
+Lumayan,59,5.9,Sedang
+Biasa Saja,59,6.8,Ringan
+Biasa Saja,46,5.1,Ringan
+Cukup Jenuh,33,4.2,Ringan
+Biasa Saja,51,6.4,Ringan
+Lumayan,68,5.9,Sedang
+Biasa Saja,77,5.9,Sedang
+Biasa Saja,51,8.5,Sedang
+Cukup Jenuh,26,6.6,Ringan
+Bagus,87,8.2,Intensif
+Lumayan,83,6.8,Sedang
+Lumayan,79,6.3,Sedang
+Biasa Saja,66,8.0,Intensif
+Lumayan,63,7.4,Intensif
+Lumayan,62,6.3,Sedang
+Biasa Saja,68,8.5,Intensif
+Bagus,85,8.3,Intensif
+Cukup Jenuh,37,6.2,Ringan
+Biasa Saja,38,5.5,Ringan
+Bagus,64,8.8,Intensif
+Lumayan,89,5.2,Sedang
+Lumayan,37,6.1,Sedang
+Biasa Saja,29,4.8,Ringan
+Bagus,99,7.9,Intensif
+Bagus,115,9.0,Intensif
+Biasa Saja,79,5.4,Sedang
+Lumayan,76,6.1,Sedang
+Biasa Saja,60,6.4,Ringan
+Biasa Saja,62,6.9,Sedang
+Bagus,101,7.1,Intensif
+Jenuh,19,3.0,Ringan
+Cukup Jenuh,37,5.7,Ringan
+Biasa Saja,54,5.4,Ringan
+Bagus,90,8.0,Intensif
+Lumayan,100,6.8,Sedang
+Lumayan,84,6.5,Sedang
+Bagus,93,8.2,Intensif
+Lumayan,70,6.1,Sedang
+Lumayan,105,6.3,Sedang
+Cukup Jenuh,25,5.8,Ringan
+Jenuh,24,4.5,Ringan
+Biasa Saja,49,9.0,Sedang
+Lumayan,94,5.0,Sedang
+Biasa Saja,60,5.8,Ringan
+Biasa Saja,84,4.5,Ringan
+Bagus,100,7.1,Intensif
+Cukup Jenuh,61,3.9,Ringan
+Biasa Saja,31,8.1,Sedang
+Biasa Saja,63,6.5,Sedang
+Lumayan,53,6.9,Sedang
+Cukup Jenuh,19,5.5,Ringan
+Lumayan,62,6.7,Sedang
+Biasa Saja,37,6.2,Ringan
+Lumayan,52,5.2,Sedang
+Biasa Saja,61,6.3,Sedang
+Lumayan,86,6.6,Sedang
+Biasa Saja,30,6.0,Ringan
+Biasa Saja,27,7.0,Ringan
+Jenuh,21,4.7,Ringan
+Biasa Saja,72,6.5,Sedang
+Biasa Saja,32,6.9,Ringan
+Biasa Saja,55,6.9,Ringan
+Bagus,82,8.4,Intensif
+Cukup Jenuh,23,4.2,Ringan
+Biasa Saja,77,6.4,Sedang
+Jenuh,33,3.7,Ringan
+Biasa Saja,44,5.4,Ringan
+Biasa Saja,87,6.7,Sedang
+Cukup Jenuh,39,6.6,Ringan
+Cukup Jenuh,24,6.8,Ringan
+Bagus,107,8.9,Intensif
+Lumayan,57,6.4,Sedang
+Cukup Jenuh,40,5.9,Ringan
+Biasa Saja,50,7.6,Sedang
+Cukup Jenuh,29,3.7,Ringan
+Jenuh,34,4.8,Ringan
+Cukup Jenuh,22,4.1,Ringan
+Biasa Saja,53,3.5,Ringan
+Cukup Jenuh,13,4.5,Ringan
+Lumayan,94,8.2,Intensif
+Lumayan,62,6.9,Sedang
+Bagus,107,8.8,Intensif
+Lumayan,99,6.3,Sedang
+Lumayan,44,8.3,Sedang
+Lumayan,61,5.9,Sedang
+Biasa Saja,34,5.9,Ringan
+Lumayan,50,5.6,Sedang
+Lumayan,89,5.6,Sedang
+Cukup Jenuh,26,4.8,Ringan
+Biasa Saja,60,7.2,Sedang
+Bagus,74,8.6,Intensif
+Lumayan,68,6.7,Sedang
+Cukup Jenuh,25,3.9,Ringan
+Cukup Jenuh,45,5.4,Ringan
+Biasa Saja,28,5.8,Ringan
+Lumayan,51,7.5,Sedang
+Bagus,126,7.1,Intensif
+Cukup Jenuh,31,3.4,Ringan
+Biasa Saja,69,6.8,Sedang
+Lumayan,75,5.5,Sedang
+Biasa Saja,53,3.6,Ringan
+Biasa Saja,55,3.4,Ringan
+Jenuh,23,4.9,Ringan
+Bagus,109,7.1,Intensif
+Lumayan,86,7.5,Intensif
+Cukup Jenuh,26,7.0,Ringan
+Bagus,114,9.0,Intensif
+Biasa Saja,55,5.7,Ringan
+Lumayan,58,6.3,Sedang
+Cukup Jenuh,36,4.9,Ringan
+Lumayan,83,5.7,Sedang
+Biasa Saja,85,3.0,Ringan
+Biasa Saja,60,7.8,Sedang
+Lumayan,78,5.5,Sedang
+Lumayan,62,5.9,Sedang
+Cukup Jenuh,40,6.7,Ringan
+Biasa Saja,60,5.6,Ringan
+Bagus,67,7.8,Intensif
+Lumayan,71,7.0,Sedang
+Biasa Saja,69,8.1,Intensif
+Bagus,121,8.5,Intensif
+Lumayan,91,6.3,Sedang
+Lumayan,65,8.1,Intensif
+Biasa Saja,54,5.5,Ringan
+Lumayan,73,7.7,Intensif
+Lumayan,36,6.9,Sedang
+Biasa Saja,58,6.4,Ringan
+Lumayan,53,8.6,Sedang
+Lumayan,93,5.0,Sedang
+Bagus,78,7.0,Intensif
+Biasa Saja,58,8.0,Sedang
+Biasa Saja,21,3.8,Ringan
+Bagus,105,8.0,Intensif
+Biasa Saja,50,8.3,Sedang
+Lumayan,43,7.0,Sedang
+Bagus,108,7.3,Intensif
+Lumayan,98,6.2,Sedang
+Biasa Saja,56,5.2,Ringan
+Biasa Saja,60,4.6,Ringan
+Bagus,100,8.2,Intensif
+Cukup Jenuh,29,6.6,Ringan
+Cukup Jenuh,21,4.8,Ringan
+Lumayan,102,7.6,Intensif
+Bagus,118,7.8,Intensif
+Lumayan,68,5.2,Sedang
+Biasa Saja,61,7.8,Intensif
+Biasa Saja,61,4.8,Ringan
+Biasa Saja,74,7.0,Sedang
+Biasa Saja,69,7.6,Intensif
+Biasa Saja,66,5.8,Sedang
+Lumayan,73,6.8,Sedang
+Jenuh,27,4.7,Ringan
+Biasa Saja,45,5.7,Ringan
+Lumayan,63,7.1,Intensif
+Biasa Saja,65,4.6,Ringan
+Lumayan,108,7.8,Intensif
+Biasa Saja,27,5.7,Ringan
+Biasa Saja,34,5.1,Ringan
+Lumayan,71,7.0,Sedang
+Bagus,100,7.5,Intensif
+Cukup Jenuh,39,6.4,Ringan
+Biasa Saja,70,4.7,Ringan
+Lumayan,69,5.6,Sedang
+Biasa Saja,41,6.2,Ringan
+Biasa Saja,63,4.8,Ringan
+Biasa Saja,71,5.8,Sedang
+Lumayan,83,9.0,Intensif
+Biasa Saja,66,4.4,Ringan
+Lumayan,72,8.0,Intensif
+Lumayan,57,7.3,Sedang
+Jenuh,32,4.9,Ringan
+Cukup Jenuh,31,6.8,Ringan
+Bagus,67,8.8,Intensif
+Jenuh,19,3.8,Ringan
+Biasa Saja,53,6.7,Ringan
+Lumayan,73,6.3,Sedang
+Biasa Saja,65,6.8,Sedang
+Bagus,75,7.8,Intensif
+Bagus,66,8.7,Intensif
+Biasa Saja,64,5.7,Sedang
+Bagus,62,8.9,Intensif
+Biasa Saja,46,7.7,Sedang
+Biasa Saja,42,5.5,Ringan
+Bagus,95,8.7,Intensif
+Lumayan,58,5.7,Sedang
+Bagus,83,7.7,Intensif
+Cukup Jenuh,28,6.1,Ringan
+Biasa Saja,82,4.7,Ringan
+Lumayan,71,6.0,Sedang
+Cukup Jenuh,25,6.8,Ringan
+Bagus,94,8.3,Intensif
+Bagus,113,8.0,Intensif
+Bagus,67,8.5,Intensif
+Biasa Saja,22,7.3,Ringan
+Bagus,92,8.5,Intensif
+Biasa Saja,74,7.1,Intensif
+Lumayan,45,9.0,Sedang
+Biasa Saja,51,4.9,Ringan
+Biasa Saja,44,5.4,Ringan
+Lumayan,34,6.6,Sedang
+Biasa Saja,70,6.1,Sedang
+Biasa Saja,50,6.6,Ringan
+Biasa Saja,55,6.1,Ringan
+Biasa Saja,80,5.8,Sedang
+Lumayan,63,7.5,Intensif
+Biasa Saja,44,5.5,Ringan
+Lumayan,99,6.0,Sedang
+Bagus,111,7.1,Intensif
+Cukup Jenuh,34,4.3,Ringan
+Cukup Jenuh,10,3.5,Ringan
+Lumayan,67,9.0,Intensif
+Cukup Jenuh,34,4.4,Ringan
+Lumayan,71,6.9,Sedang
+Biasa Saja,64,6.6,Sedang
+Cukup Jenuh,36,4.9,Ringan
+Biasa Saja,42,6.9,Ringan
+Lumayan,88,5.5,Sedang
+Lumayan,71,7.6,Intensif
+Bagus,42,7.3,Intensif
+Bagus,62,7.5,Intensif
+Jenuh,32,4.6,Ringan
+Lumayan,97,7.5,Intensif
+Jenuh,17,4.7,Ringan
+Lumayan,61,8.7,Intensif
+Lumayan,60,5.5,Sedang
+Biasa Saja,47,4.3,Ringan
+Biasa Saja,36,4.6,Ringan
+Bagus,105,7.9,Intensif
+Lumayan,64,7.2,Intensif
+Lumayan,65,6.7,Sedang
+Biasa Saja,45,8.4,Sedang
+Bagus,92,7.4,Intensif
+Cukup Jenuh,50,6.4,Ringan
+Cukup Jenuh,40,5.6,Ringan
+Cukup Jenuh,42,5.8,Ringan
+Lumayan,98,9.0,Intensif
+Cukup Jenuh,32,6.6,Ringan
+Bagus,105,8.0,Intensif
+Cukup Jenuh,56,3.5,Ringan
+Biasa Saja,47,6.8,Ringan
+Lumayan,106,6.4,Sedang
+Jenuh,29,4.9,Ringan
+Jenuh,28,4.9,Ringan
+Biasa Saja,55,5.3,Ringan
+Biasa Saja,45,7.7,Sedang
+Biasa Saja,61,6.5,Sedang
+Biasa Saja,60,5.7,Ringan
+Biasa Saja,56,5.2,Ringan
+Bagus,87,7.4,Intensif
+Biasa Saja,59,5.7,Ringan
+Bagus,83,8.3,Intensif
+Jenuh,31,4.6,Ringan
+Lumayan,95,6.9,Sedang
+Jenuh,22,4.7,Ringan
+Biasa Saja,58,5.9,Ringan
+Lumayan,75,7.5,Intensif
+Bagus,88,8.1,Intensif
+Jenuh,10,4.9,Ringan
+Lumayan,98,6.0,Sedang
+Bagus,88,9.0,Intensif
+Lumayan,104,6.4,Sedang
+Cukup Jenuh,31,6.1,Ringan
+Biasa Saja,47,5.2,Ringan
+Lumayan,36,7.2,Sedang
+Cukup Jenuh,14,5.4,Ringan
+Biasa Saja,44,4.4,Ringan
+Bagus,89,8.9,Intensif
+Bagus,86,8.6,Intensif
+Jenuh,28,4.4,Ringan
+Lumayan,70,7.0,Sedang
+Cukup Jenuh,46,5.1,Ringan
+Biasa Saja,52,6.3,Ringan
+Lumayan,71,7.5,Intensif
+Lumayan,53,7.9,Sedang
+Lumayan,77,5.9,Sedang
+Lumayan,87,7.4,Intensif
+Lumayan,65,5.3,Sedang
+Lumayan,61,8.5,Intensif
+Cukup Jenuh,26,6.2,Ringan
+Bagus,105,8.2,Intensif
+Cukup Jenuh,32,5.3,Ringan
+Biasa Saja,62,5.7,Sedang
+Biasa Saja,51,9.0,Sedang
+Bagus,141,8.3,Intensif
+Cukup Jenuh,39,5.5,Ringan
+Lumayan,58,5.8,Sedang
+Cukup Jenuh,27,4.5,Ringan
+Lumayan,74,6.8,Sedang
+Cukup Jenuh,36,5.7,Ringan
+Lumayan,102,9.0,Intensif
+Lumayan,65,5.8,Sedang
+Biasa Saja,61,4.5,Ringan
+Bagus,107,7.4,Intensif
+Lumayan,102,8.0,Intensif
+Lumayan,82,6.8,Sedang
+Bagus,85,7.4,Intensif
+Biasa Saja,48,6.8,Ringan
+Lumayan,87,6.8,Sedang
+Biasa Saja,29,5.0,Ringan
+Cukup Jenuh,34,4.9,Ringan
+Biasa Saja,45,8.3,Sedang
+Lumayan,54,5.9,Sedang
+Lumayan,66,7.1,Intensif
+Lumayan,51,5.8,Sedang
+Cukup Jenuh,38,5.2,Ringan
+Biasa Saja,74,5.7,Sedang
+Lumayan,92,6.7,Sedang
+Lumayan,67,8.1,Intensif
+Biasa Saja,60,7.8,Sedang
+Lumayan,81,9.0,Intensif
+Jenuh,28,4.8,Ringan
+Biasa Saja,58,5.8,Ringan
+Lumayan,54,5.7,Sedang
+Lumayan,31,8.1,Sedang
+Bagus,104,8.0,Intensif
+Cukup Jenuh,47,6.5,Ringan
+Biasa Saja,46,6.1,Ringan
+Bagus,90,7.4,Intensif
+Lumayan,98,9.0,Intensif
+Cukup Jenuh,21,5.4,Ringan
+Lumayan,65,7.2,Intensif
+Bagus,114,7.7,Intensif
+Bagus,98,8.1,Intensif
+Lumayan,85,6.4,Sedang
+Bagus,92,7.3,Intensif
+Biasa Saja,51,5.5,Ringan
+Bagus,81,8.1,Intensif
+Bagus,93,8.8,Intensif
+Cukup Jenuh,25,3.4,Ringan
+Bagus,97,8.6,Intensif
+Bagus,100,9.0,Intensif
+Biasa Saja,52,6.9,Ringan
+Bagus,114,9.0,Intensif
+Biasa Saja,90,6.8,Sedang
+Lumayan,70,5.5,Sedang
+Biasa Saja,63,6.3,Sedang
+Biasa Saja,81,7.0,Sedang
+Bagus,78,7.7,Intensif
+Lumayan,47,6.2,Sedang
+Lumayan,49,7.6,Sedang
+Lumayan,99,6.0,Sedang
+Bagus,109,8.9,Intensif
+Biasa Saja,55,5.7,Ringan
+Jenuh,45,3.3,Ringan
+Biasa Saja,57,5.8,Ringan
+Biasa Saja,31,6.2,Ringan
+Biasa Saja,70,3.8,Ringan
+Lumayan,75,8.4,Intensif
+Biasa Saja,52,7.3,Sedang
+Biasa Saja,63,7.6,Intensif
+Biasa Saja,68,6.8,Sedang
+Lumayan,61,9.0,Intensif
+Biasa Saja,69,5.2,Sedang
+Biasa Saja,42,6.2,Ringan
+Lumayan,38,6.5,Sedang
+Lumayan,71,8.2,Intensif
+Cukup Jenuh,37,6.2,Ringan
+Cukup Jenuh,23,4.7,Ringan
+Bagus,87,7.9,Intensif
+Lumayan,48,6.0,Sedang
+Biasa Saja,58,6.7,Ringan
+Lumayan,80,6.5,Sedang
+Lumayan,42,5.8,Sedang
+Lumayan,43,7.4,Sedang
+Lumayan,76,8.8,Intensif
+Lumayan,77,5.0,Sedang
+Biasa Saja,58,3.9,Ringan
+Biasa Saja,89,7.9,Intensif
+Biasa Saja,54,5.4,Ringan
+Jenuh,17,3.8,Ringan
+Bagus,70,7.2,Intensif
+Lumayan,68,6.3,Sedang
+Lumayan,77,7.0,Sedang
+Cukup Jenuh,35,5.3,Ringan
+Biasa Saja,72,7.6,Intensif
+Biasa Saja,56,6.9,Ringan
+Lumayan,91,6.5,Sedang
+Cukup Jenuh,35,4.9,Ringan
+Bagus,88,9.0,Intensif
+Cukup Jenuh,20,6.4,Ringan
+Jenuh,10,4.6,Ringan
+Cukup Jenuh,43,4.1,Ringan
+Lumayan,56,6.0,Sedang
+Bagus,81,7.5,Intensif
+Lumayan,58,6.4,Sedang
+Cukup Jenuh,35,6.7,Ringan
+Biasa Saja,57,6.0,Ringan
+Lumayan,84,7.1,Intensif
+Lumayan,65,7.4,Intensif
+Biasa Saja,45,5.5,Ringan
+Cukup Jenuh,45,5.9,Ringan
+Biasa Saja,56,7.9,Sedang
+Biasa Saja,37,7.7,Sedang
+Bagus,77,9.0,Intensif
+Lumayan,39,6.4,Sedang
+Lumayan,133,6.7,Sedang
+Cukup Jenuh,28,3.6,Ringan
+Biasa Saja,55,6.4,Ringan
+Lumayan,103,5.2,Sedang
+Lumayan,52,5.4,Sedang
+Cukup Jenuh,37,4.8,Ringan
+Bagus,131,7.3,Intensif
+Bagus,55,8.8,Intensif
+Cukup Jenuh,30,6.8,Ringan
+Biasa Saja,34,5.3,Ringan
+Biasa Saja,58,5.9,Ringan
+Lumayan,25,5.3,Ringan
+Bagus,83,7.3,Intensif
+Cukup Jenuh,19,5.2,Ringan
+Lumayan,93,5.2,Sedang
+Biasa Saja,52,6.9,Ringan
+Bagus,111,9.0,Intensif
+Lumayan,102,6.7,Sedang
+Cukup Jenuh,24,6.7,Ringan
+Lumayan,67,7.6,Intensif
+Lumayan,64,6.9,Sedang
+Biasa Saja,20,6.5,Ringan
+Biasa Saja,41,6.2,Ringan
+Bagus,98,8.5,Intensif
+Lumayan,94,7.4,Intensif
+Lumayan,108,5.4,Sedang
+Biasa Saja,86,7.0,Sedang
+Lumayan,69,7.5,Intensif
+Biasa Saja,42,6.3,Ringan
+Cukup Jenuh,49,6.5,Ringan
+Cukup Jenuh,19,5.6,Ringan
+Cukup Jenuh,41,7.0,Ringan
+Lumayan,64,5.1,Sedang
+Cukup Jenuh,29,4.2,Ringan
+Biasa Saja,43,5.9,Ringan
+Jenuh,17,3.5,Ringan
+Lumayan,83,6.9,Sedang
+Lumayan,84,5.5,Sedang
+Bagus,84,8.1,Intensif
+Bagus,114,7.0,Intensif
+Lumayan,126,8.4,Intensif
+Bagus,87,7.3,Intensif
+Cukup Jenuh,22,4.3,Ringan
+Biasa Saja,38,7.5,Sedang
+Lumayan,83,8.9,Intensif
+Bagus,84,8.2,Intensif
+Bagus,104,8.9,Intensif
+Cukup Jenuh,16,5.9,Ringan
+Biasa Saja,66,6.6,Sedang
+Biasa Saja,40,7.6,Sedang
+Lumayan,96,6.1,Sedang
+Biasa Saja,49,4.2,Ringan
+Biasa Saja,73,6.1,Sedang
+Lumayan,61,6.1,Sedang
+Jenuh,22,4.2,Ringan
+Biasa Saja,48,5.0,Ringan
+Bagus,99,8.1,Intensif
+Cukup Jenuh,28,4.1,Ringan
+Lumayan,69,5.7,Sedang
+Lumayan,71,8.3,Intensif
+Lumayan,65,5.3,Sedang
+Biasa Saja,44,7.9,Sedang
+Lumayan,90,6.0,Sedang
+Bagus,113,7.0,Intensif
+Jenuh,19,3.9,Ringan
+Lumayan,74,6.9,Sedang
+Biasa Saja,21,6.1,Ringan
+Biasa Saja,41,8.2,Sedang
+Cukup Jenuh,46,6.8,Ringan
+Lumayan,42,5.3,Sedang
+Jenuh,22,3.8,Ringan
+Biasa Saja,50,5.6,Ringan
+Biasa Saja,32,6.2,Ringan
+Bagus,111,7.5,Intensif
+Jenuh,13,4.6,Ringan
+Lumayan,103,6.3,Sedang
+Bagus,109,7.1,Intensif
+Biasa Saja,55,7.2,Sedang
+Bagus,83,7.4,Intensif
+Bagus,73,7.5,Intensif
+Biasa Saja,55,7.8,Sedang
+Biasa Saja,39,5.9,Ringan
+Cukup Jenuh,13,4.5,Ringan
+Bagus,65,8.1,Intensif
+Lumayan,89,6.9,Sedang
+Lumayan,58,6.6,Sedang
+Cukup Jenuh,31,4.7,Ringan
+Lumayan,86,6.5,Sedang
+Jenuh,36,4.2,Ringan
+Biasa Saja,50,4.5,Ringan
+Biasa Saja,68,5.4,Sedang
+Biasa Saja,39,5.5,Ringan
+Lumayan,51,5.6,Sedang
+Jenuh,32,3.0,Ringan
+Biasa Saja,64,6.2,Sedang
+Biasa Saja,48,4.3,Ringan
+Lumayan,68,6.7,Sedang
+Bagus,102,7.1,Intensif
+Bagus,93,7.0,Intensif
+Lumayan,55,5.5,Sedang
+Lumayan,70,7.6,Intensif
+Bagus,92,7.5,Intensif
+Biasa Saja,33,7.0,Ringan
+Biasa Saja,47,6.3,Ringan
+Bagus,122,8.0,Intensif
+Lumayan,57,6.3,Sedang
+Lumayan,88,6.4,Sedang
+Lumayan,106,6.5,Sedang
+Biasa Saja,58,6.9,Ringan
+Biasa Saja,46,6.6,Ringan
+Cukup Jenuh,29,5.9,Ringan
+Biasa Saja,35,3.0,Ringan
+Biasa Saja,71,5.8,Sedang
+Biasa Saja,70,8.3,Intensif
+Jenuh,32,3.0,Ringan
+Biasa Saja,69,4.4,Ringan
+Biasa Saja,70,5.9,Sedang
+Cukup Jenuh,33,4.4,Ringan
+Biasa Saja,45,6.3,Ringan
+Biasa Saja,48,8.9,Sedang
+Cukup Jenuh,21,6.7,Ringan
+Lumayan,80,6.9,Sedang
+Biasa Saja,17,4.9,Ringan
+Lumayan,59,5.3,Sedang
+Biasa Saja,65,6.7,Sedang
+Biasa Saja,65,6.1,Sedang
+Bagus,107,7.3,Intensif
+Bagus,49,7.4,Intensif
+Lumayan,61,5.4,Sedang
+Lumayan,92,5.6,Sedang
+Bagus,95,8.2,Intensif
+Biasa Saja,45,6.2,Ringan
+Biasa Saja,58,8.5,Sedang
+Bagus,121,7.2,Intensif
+Cukup Jenuh,31,4.9,Ringan
+Lumayan,42,7.5,Sedang
+Bagus,91,8.3,Intensif
+Lumayan,28,9.0,Sedang
+Biasa Saja,74,5.8,Sedang
+Bagus,80,8.7,Intensif
+Cukup Jenuh,20,6.4,Ringan
+Bagus,95,7.7,Intensif
diff --git a/Model Algoritma/data_sintetis_2000_dengan_pseudo_label.csv b/Model Algoritma/data_sintetis_2000_dengan_pseudo_label.csv
new file mode 100644
index 0000000..6ab58c9
--- /dev/null
+++ b/Model Algoritma/data_sintetis_2000_dengan_pseudo_label.csv	
@@ -0,0 +1,2001 @@
+no,mood,durasi_belajar,durasi_tidur,mood_score,sleep_score,duration_score,total_score,label
+1,Lumayan,72,7.2,1.5,2,2,5.5,Intensif
+2,Biasa Saja,59,4.8,1.0,0,1,2.0,Ringan
+3,Bagus,110,8.9,2.0,2,2,6.0,Intensif
+4,Lumayan,64,5.6,1.5,1,2,4.5,Sedang
+5,Biasa Saja,26,6.9,1.0,1,0,2.0,Ringan
+6,Bagus,64,7.7,2.0,2,2,6.0,Intensif
+7,Biasa Saja,33,5.1,1.0,1,1,3.0,Ringan
+8,Biasa Saja,63,5.6,1.0,1,2,4.0,Sedang
+9,Biasa Saja,56,5.7,1.0,1,1,3.0,Ringan
+10,Lumayan,93,5.6,1.5,1,2,4.5,Sedang
+11,Lumayan,112,5.6,1.5,1,2,4.5,Sedang
+12,Cukup Jenuh,34,5.7,0.5,1,1,2.5,Ringan
+13,Bagus,70,7.7,2.0,2,2,6.0,Intensif
+14,Bagus,118,9.0,2.0,2,2,6.0,Intensif
+15,Bagus,98,7.6,2.0,2,2,6.0,Intensif
+16,Biasa Saja,31,5.0,1.0,1,1,3.0,Ringan
+17,Lumayan,96,5.8,1.5,1,2,4.5,Sedang
+18,Jenuh,26,4.8,0.0,0,0,0.0,Ringan
+19,Lumayan,87,5.5,1.5,1,2,4.5,Sedang
+20,Lumayan,92,7.4,1.5,2,2,5.5,Intensif
+21,Cukup Jenuh,31,5.2,0.5,1,1,2.5,Ringan
+22,Biasa Saja,71,4.2,1.0,0,2,3.0,Ringan
+23,Jenuh,13,4.8,0.0,0,0,0.0,Ringan
+24,Bagus,100,7.8,2.0,2,2,6.0,Intensif
+25,Lumayan,62,7.0,1.5,1,2,4.5,Sedang
+26,Bagus,101,8.7,2.0,2,2,6.0,Intensif
+27,Biasa Saja,67,3.0,1.0,0,2,3.0,Ringan
+28,Cukup Jenuh,45,4.4,0.5,0,1,1.5,Ringan
+29,Biasa Saja,60,6.2,1.0,1,1,3.0,Ringan
+30,Lumayan,89,5.3,1.5,1,2,4.5,Sedang
+31,Cukup Jenuh,29,5.3,0.5,1,0,1.5,Ringan
+32,Biasa Saja,72,7.3,1.0,2,2,5.0,Intensif
+33,Cukup Jenuh,40,5.7,0.5,1,1,2.5,Ringan
+34,Biasa Saja,57,8.6,1.0,2,1,4.0,Sedang
+35,Lumayan,68,5.4,1.5,1,2,4.5,Sedang
+36,Biasa Saja,50,8.4,1.0,2,1,4.0,Sedang
+37,Biasa Saja,51,6.5,1.0,1,1,3.0,Ringan
+38,Lumayan,69,5.9,1.5,1,2,4.5,Sedang
+39,Biasa Saja,61,6.3,1.0,1,2,4.0,Sedang
+40,Cukup Jenuh,49,5.1,0.5,1,1,2.5,Ringan
+41,Biasa Saja,54,3.6,1.0,0,1,2.0,Ringan
+42,Biasa Saja,48,6.7,1.0,1,1,3.0,Ringan
+43,Lumayan,81,6.2,1.5,1,2,4.5,Sedang
+44,Bagus,94,7.0,2.0,1,2,5.0,Intensif
+45,Bagus,110,8.2,2.0,2,2,6.0,Intensif
+46,Biasa Saja,75,5.3,1.0,1,2,4.0,Sedang
+47,Bagus,138,7.4,2.0,2,2,6.0,Intensif
+48,Lumayan,93,5.8,1.5,1,2,4.5,Sedang
+49,Biasa Saja,47,6.6,1.0,1,1,3.0,Ringan
+50,Lumayan,67,6.5,1.5,1,2,4.5,Sedang
+51,Cukup Jenuh,39,4.9,0.5,0,1,1.5,Ringan
+52,Bagus,91,7.4,2.0,2,2,6.0,Intensif
+53,Cukup Jenuh,31,5.3,0.5,1,1,2.5,Ringan
+54,Biasa Saja,63,6.0,1.0,1,2,4.0,Sedang
+55,Biasa Saja,74,6.8,1.0,1,2,4.0,Sedang
+56,Cukup Jenuh,32,6.0,0.5,1,1,2.5,Ringan
+57,Lumayan,90,6.9,1.5,1,2,4.5,Sedang
+58,Biasa Saja,41,8.4,1.0,2,1,4.0,Sedang
+59,Biasa Saja,60,6.9,1.0,1,1,3.0,Ringan
+60,Lumayan,91,6.8,1.5,1,2,4.5,Sedang
+61,Lumayan,60,6.9,1.5,1,1,3.5,Sedang
+62,Biasa Saja,36,6.8,1.0,1,1,3.0,Ringan
+63,Jenuh,31,4.7,0.0,0,1,1.0,Ringan
+64,Biasa Saja,38,5.4,1.0,1,1,3.0,Ringan
+65,Lumayan,83,7.9,1.5,2,2,5.5,Intensif
+66,Lumayan,77,5.2,1.5,1,2,4.5,Sedang
+67,Cukup Jenuh,26,5.2,0.5,1,0,1.5,Ringan
+68,Lumayan,70,7.8,1.5,2,2,5.5,Intensif
+69,Biasa Saja,76,6.5,1.0,1,2,4.0,Sedang
+70,Jenuh,24,4.4,0.0,0,0,0.0,Ringan
+71,Jenuh,29,4.9,0.0,0,0,0.0,Ringan
+72,Cukup Jenuh,42,6.3,0.5,1,1,2.5,Ringan
+73,Cukup Jenuh,19,5.2,0.5,1,0,1.5,Ringan
+74,Biasa Saja,47,5.1,1.0,1,1,3.0,Ringan
+75,Biasa Saja,60,6.8,1.0,1,1,3.0,Ringan
+76,Cukup Jenuh,26,6.8,0.5,1,0,1.5,Ringan
+77,Cukup Jenuh,23,6.6,0.5,1,0,1.5,Ringan
+78,Lumayan,96,7.8,1.5,2,2,5.5,Intensif
+79,Jenuh,15,4.4,0.0,0,0,0.0,Ringan
+80,Cukup Jenuh,37,7.0,0.5,1,1,2.5,Ringan
+81,Lumayan,152,7.3,1.5,2,2,5.5,Intensif
+82,Lumayan,94,8.5,1.5,2,2,5.5,Intensif
+83,Lumayan,90,6.0,1.5,1,2,4.5,Sedang
+84,Lumayan,57,6.7,1.5,1,1,3.5,Sedang
+85,Bagus,57,9.0,2.0,2,1,5.0,Intensif
+86,Lumayan,76,5.9,1.5,1,2,4.5,Sedang
+87,Lumayan,96,5.8,1.5,1,2,4.5,Sedang
+88,Bagus,97,8.8,2.0,2,2,6.0,Intensif
+89,Lumayan,79,5.4,1.5,1,2,4.5,Sedang
+90,Lumayan,111,9.0,1.5,2,2,5.5,Intensif
+91,Jenuh,26,3.5,0.0,0,0,0.0,Ringan
+92,Lumayan,41,5.8,1.5,1,1,3.5,Sedang
+93,Bagus,112,7.3,2.0,2,2,6.0,Intensif
+94,Lumayan,68,6.0,1.5,1,2,4.5,Sedang
+95,Lumayan,83,9.0,1.5,2,2,5.5,Intensif
+96,Lumayan,108,7.1,1.5,2,2,5.5,Intensif
+97,Cukup Jenuh,30,4.2,0.5,0,0,0.5,Ringan
+98,Lumayan,112,6.1,1.5,1,2,4.5,Sedang
+99,Biasa Saja,39,3.0,1.0,0,1,2.0,Ringan
+100,Cukup Jenuh,21,3.5,0.5,0,0,0.5,Ringan
+101,Lumayan,77,5.8,1.5,1,2,4.5,Sedang
+102,Cukup Jenuh,58,6.6,0.5,1,1,2.5,Ringan
+103,Lumayan,84,5.0,1.5,1,2,4.5,Sedang
+104,Biasa Saja,55,6.2,1.0,1,1,3.0,Ringan
+105,Lumayan,88,6.7,1.5,1,2,4.5,Sedang
+106,Biasa Saja,86,5.6,1.0,1,2,4.0,Sedang
+107,Cukup Jenuh,40,6.3,0.5,1,1,2.5,Ringan
+108,Lumayan,79,5.8,1.5,1,2,4.5,Sedang
+109,Lumayan,91,5.6,1.5,1,2,4.5,Sedang
+110,Biasa Saja,76,7.9,1.0,2,2,5.0,Intensif
+111,Bagus,107,7.7,2.0,2,2,6.0,Intensif
+112,Biasa Saja,44,7.3,1.0,2,1,4.0,Sedang
+113,Lumayan,77,6.5,1.5,1,2,4.5,Sedang
+114,Cukup Jenuh,46,5.5,0.5,1,1,2.5,Ringan
+115,Biasa Saja,71,6.2,1.0,1,2,4.0,Sedang
+116,Cukup Jenuh,37,5.9,0.5,1,1,2.5,Ringan
+117,Bagus,95,8.5,2.0,2,2,6.0,Intensif
+118,Lumayan,92,6.1,1.5,1,2,4.5,Sedang
+119,Cukup Jenuh,33,7.0,0.5,1,1,2.5,Ringan
+120,Bagus,116,9.0,2.0,2,2,6.0,Intensif
+121,Cukup Jenuh,22,5.0,0.5,1,0,1.5,Ringan
+122,Lumayan,88,7.7,1.5,2,2,5.5,Intensif
+123,Lumayan,57,6.5,1.5,1,1,3.5,Sedang
+124,Jenuh,42,3.4,0.0,0,1,1.0,Ringan
+125,Lumayan,68,5.3,1.5,1,2,4.5,Sedang
+126,Bagus,122,7.4,2.0,2,2,6.0,Intensif
+127,Lumayan,64,6.9,1.5,1,2,4.5,Sedang
+128,Bagus,112,7.3,2.0,2,2,6.0,Intensif
+129,Jenuh,10,4.3,0.0,0,0,0.0,Ringan
+130,Lumayan,102,5.5,1.5,1,2,4.5,Sedang
+131,Biasa Saja,77,7.0,1.0,1,2,4.0,Sedang
+132,Biasa Saja,54,6.0,1.0,1,1,3.0,Ringan
+133,Biasa Saja,42,7.0,1.0,1,1,3.0,Ringan
+134,Bagus,96,7.2,2.0,2,2,6.0,Intensif
+135,Bagus,86,7.5,2.0,2,2,6.0,Intensif
+136,Cukup Jenuh,44,6.6,0.5,1,1,2.5,Ringan
+137,Cukup Jenuh,27,6.6,0.5,1,0,1.5,Ringan
+138,Lumayan,83,9.0,1.5,2,2,5.5,Intensif
+139,Lumayan,59,9.0,1.5,2,1,4.5,Sedang
+140,Biasa Saja,69,6.3,1.0,1,2,4.0,Sedang
+141,Biasa Saja,46,5.2,1.0,1,1,3.0,Ringan
+142,Bagus,58,8.0,2.0,2,1,5.0,Intensif
+143,Bagus,132,7.0,2.0,1,2,5.0,Intensif
+144,Bagus,114,7.4,2.0,2,2,6.0,Intensif
+145,Jenuh,43,4.5,0.0,0,1,1.0,Ringan
+146,Cukup Jenuh,32,6.4,0.5,1,1,2.5,Ringan
+147,Jenuh,38,3.9,0.0,0,1,1.0,Ringan
+148,Biasa Saja,59,6.9,1.0,1,1,3.0,Ringan
+149,Biasa Saja,46,4.1,1.0,0,1,2.0,Ringan
+150,Cukup Jenuh,38,6.9,0.5,1,1,2.5,Ringan
+151,Biasa Saja,55,6.5,1.0,1,1,3.0,Ringan
+152,Lumayan,43,6.0,1.5,1,1,3.5,Sedang
+153,Lumayan,85,6.7,1.5,1,2,4.5,Sedang
+154,Bagus,125,8.1,2.0,2,2,6.0,Intensif
+155,Biasa Saja,43,7.0,1.0,1,1,3.0,Ringan
+156,Cukup Jenuh,50,6.7,0.5,1,1,2.5,Ringan
+157,Biasa Saja,81,9.0,1.0,2,2,5.0,Intensif
+158,Biasa Saja,50,5.0,1.0,1,1,3.0,Ringan
+159,Lumayan,102,7.5,1.5,2,2,5.5,Intensif
+160,Lumayan,68,5.8,1.5,1,2,4.5,Sedang
+161,Bagus,59,8.1,2.0,2,1,5.0,Intensif
+162,Bagus,92,7.8,2.0,2,2,6.0,Intensif
+163,Bagus,96,8.8,2.0,2,2,6.0,Intensif
+164,Biasa Saja,59,8.0,1.0,2,1,4.0,Sedang
+165,Cukup Jenuh,34,3.9,0.5,0,1,1.5,Ringan
+166,Lumayan,83,6.5,1.5,1,2,4.5,Sedang
+167,Biasa Saja,65,4.5,1.0,0,2,3.0,Ringan
+168,Cukup Jenuh,39,4.8,0.5,0,1,1.5,Ringan
+169,Biasa Saja,69,6.4,1.0,1,2,4.0,Sedang
+170,Lumayan,65,5.8,1.5,1,2,4.5,Sedang
+171,Lumayan,59,5.7,1.5,1,1,3.5,Sedang
+172,Cukup Jenuh,33,4.3,0.5,0,1,1.5,Ringan
+173,Bagus,95,9.0,2.0,2,2,6.0,Intensif
+174,Bagus,119,7.3,2.0,2,2,6.0,Intensif
+175,Cukup Jenuh,32,6.3,0.5,1,1,2.5,Ringan
+176,Lumayan,86,5.4,1.5,1,2,4.5,Sedang
+177,Biasa Saja,20,6.1,1.0,1,0,2.0,Ringan
+178,Biasa Saja,22,5.6,1.0,1,0,2.0,Ringan
+179,Lumayan,81,7.4,1.5,2,2,5.5,Intensif
+180,Biasa Saja,56,5.0,1.0,1,1,3.0,Ringan
+181,Biasa Saja,58,4.1,1.0,0,1,2.0,Ringan
+182,Lumayan,74,6.2,1.5,1,2,4.5,Sedang
+183,Lumayan,53,5.5,1.5,1,1,3.5,Sedang
+184,Biasa Saja,68,6.8,1.0,1,2,4.0,Sedang
+185,Lumayan,104,6.5,1.5,1,2,4.5,Sedang
+186,Lumayan,95,9.0,1.5,2,2,5.5,Intensif
+187,Biasa Saja,52,4.9,1.0,0,1,2.0,Ringan
+188,Lumayan,48,8.6,1.5,2,1,4.5,Sedang
+189,Biasa Saja,63,4.4,1.0,0,2,3.0,Ringan
+190,Lumayan,62,5.8,1.5,1,2,4.5,Sedang
+191,Lumayan,57,5.6,1.5,1,1,3.5,Sedang
+192,Jenuh,31,3.0,0.0,0,1,1.0,Ringan
+193,Cukup Jenuh,25,6.1,0.5,1,0,1.5,Ringan
+194,Lumayan,80,6.9,1.5,1,2,4.5,Sedang
+195,Biasa Saja,40,7.3,1.0,2,1,4.0,Sedang
+196,Bagus,127,9.0,2.0,2,2,6.0,Intensif
+197,Lumayan,86,5.5,1.5,1,2,4.5,Sedang
+198,Lumayan,20,6.9,1.5,1,0,2.5,Ringan
+199,Lumayan,56,6.9,1.5,1,1,3.5,Sedang
+200,Cukup Jenuh,37,4.8,0.5,0,1,1.5,Ringan
+201,Lumayan,75,5.5,1.5,1,2,4.5,Sedang
+202,Biasa Saja,66,5.6,1.0,1,2,4.0,Sedang
+203,Bagus,123,7.3,2.0,2,2,6.0,Intensif
+204,Jenuh,14,3.8,0.0,0,0,0.0,Ringan
+205,Biasa Saja,45,7.1,1.0,2,1,4.0,Sedang
+206,Biasa Saja,78,7.2,1.0,2,2,5.0,Intensif
+207,Bagus,86,7.0,2.0,1,2,5.0,Intensif
+208,Cukup Jenuh,31,6.0,0.5,1,1,2.5,Ringan
+209,Lumayan,116,6.9,1.5,1,2,4.5,Sedang
+210,Cukup Jenuh,44,6.1,0.5,1,1,2.5,Ringan
+211,Cukup Jenuh,24,3.4,0.5,0,0,0.5,Ringan
+212,Lumayan,58,8.1,1.5,2,1,4.5,Sedang
+213,Lumayan,70,7.0,1.5,1,2,4.5,Sedang
+214,Lumayan,76,7.8,1.5,2,2,5.5,Intensif
+215,Biasa Saja,72,4.3,1.0,0,2,3.0,Ringan
+216,Lumayan,99,7.3,1.5,2,2,5.5,Intensif
+217,Lumayan,79,6.8,1.5,1,2,4.5,Sedang
+218,Jenuh,16,4.9,0.0,0,0,0.0,Ringan
+219,Biasa Saja,47,6.6,1.0,1,1,3.0,Ringan
+220,Cukup Jenuh,43,6.0,0.5,1,1,2.5,Ringan
+221,Biasa Saja,40,6.1,1.0,1,1,3.0,Ringan
+222,Biasa Saja,46,5.9,1.0,1,1,3.0,Ringan
+223,Lumayan,102,7.8,1.5,2,2,5.5,Intensif
+224,Cukup Jenuh,37,4.1,0.5,0,1,1.5,Ringan
+225,Cukup Jenuh,49,3.8,0.5,0,1,1.5,Ringan
+226,Biasa Saja,94,6.8,1.0,1,2,4.0,Sedang
+227,Biasa Saja,65,6.7,1.0,1,2,4.0,Sedang
+228,Lumayan,83,6.8,1.5,1,2,4.5,Sedang
+229,Bagus,121,9.0,2.0,2,2,6.0,Intensif
+230,Cukup Jenuh,36,6.8,0.5,1,1,2.5,Ringan
+231,Cukup Jenuh,33,5.0,0.5,1,1,2.5,Ringan
+232,Bagus,105,9.0,2.0,2,2,6.0,Intensif
+233,Cukup Jenuh,30,6.3,0.5,1,0,1.5,Ringan
+234,Biasa Saja,20,7.8,1.0,2,0,3.0,Ringan
+235,Jenuh,12,4.6,0.0,0,0,0.0,Ringan
+236,Cukup Jenuh,32,4.2,0.5,0,1,1.5,Ringan
+237,Biasa Saja,50,6.1,1.0,1,1,3.0,Ringan
+238,Bagus,91,7.7,2.0,2,2,6.0,Intensif
+239,Bagus,117,9.0,2.0,2,2,6.0,Intensif
+240,Jenuh,30,5.0,0.0,1,0,1.0,Ringan
+241,Lumayan,52,6.1,1.5,1,1,3.5,Sedang
+242,Biasa Saja,57,6.5,1.0,1,1,3.0,Ringan
+243,Lumayan,74,6.5,1.5,1,2,4.5,Sedang
+244,Lumayan,78,6.3,1.5,1,2,4.5,Sedang
+245,Biasa Saja,46,6.5,1.0,1,1,3.0,Ringan
+246,Bagus,41,8.6,2.0,2,1,5.0,Intensif
+247,Bagus,53,8.4,2.0,2,1,5.0,Intensif
+248,Cukup Jenuh,32,6.9,0.5,1,1,2.5,Ringan
+249,Cukup Jenuh,27,4.4,0.5,0,0,0.5,Ringan
+250,Lumayan,73,6.0,1.5,1,2,4.5,Sedang
+251,Bagus,120,7.9,2.0,2,2,6.0,Intensif
+252,Biasa Saja,44,5.4,1.0,1,1,3.0,Ringan
+253,Biasa Saja,62,5.7,1.0,1,2,4.0,Sedang
+254,Lumayan,70,6.0,1.5,1,2,4.5,Sedang
+255,Biasa Saja,61,7.6,1.0,2,2,5.0,Intensif
+256,Bagus,74,9.0,2.0,2,2,6.0,Intensif
+257,Bagus,88,7.4,2.0,2,2,6.0,Intensif
+258,Jenuh,42,4.0,0.0,0,1,1.0,Ringan
+259,Lumayan,95,5.7,1.5,1,2,4.5,Sedang
+260,Bagus,59,8.5,2.0,2,1,5.0,Intensif
+261,Cukup Jenuh,52,4.6,0.5,0,1,1.5,Ringan
+262,Jenuh,19,3.9,0.0,0,0,0.0,Ringan
+263,Cukup Jenuh,38,5.7,0.5,1,1,2.5,Ringan
+264,Lumayan,74,8.0,1.5,2,2,5.5,Intensif
+265,Lumayan,73,6.0,1.5,1,2,4.5,Sedang
+266,Bagus,108,9.0,2.0,2,2,6.0,Intensif
+267,Cukup Jenuh,33,6.8,0.5,1,1,2.5,Ringan
+268,Biasa Saja,56,4.6,1.0,0,1,2.0,Ringan
+269,Lumayan,55,6.8,1.5,1,1,3.5,Sedang
+270,Biasa Saja,65,9.0,1.0,2,2,5.0,Intensif
+271,Biasa Saja,69,6.9,1.0,1,2,4.0,Sedang
+272,Jenuh,30,5.0,0.0,1,0,1.0,Ringan
+273,Cukup Jenuh,22,3.7,0.5,0,0,0.5,Ringan
+274,Biasa Saja,57,6.0,1.0,1,1,3.0,Ringan
+275,Lumayan,46,5.6,1.5,1,1,3.5,Sedang
+276,Bagus,77,8.5,2.0,2,2,6.0,Intensif
+277,Biasa Saja,94,5.1,1.0,1,2,4.0,Sedang
+278,Lumayan,78,6.6,1.5,1,2,4.5,Sedang
+279,Biasa Saja,56,5.6,1.0,1,1,3.0,Ringan
+280,Jenuh,34,4.0,0.0,0,1,1.0,Ringan
+281,Biasa Saja,81,6.4,1.0,1,2,4.0,Sedang
+282,Jenuh,20,4.2,0.0,0,0,0.0,Ringan
+283,Bagus,114,7.4,2.0,2,2,6.0,Intensif
+284,Biasa Saja,72,3.9,1.0,0,2,3.0,Ringan
+285,Lumayan,87,6.4,1.5,1,2,4.5,Sedang
+286,Lumayan,77,8.1,1.5,2,2,5.5,Intensif
+287,Lumayan,96,7.3,1.5,2,2,5.5,Intensif
+288,Biasa Saja,64,5.8,1.0,1,2,4.0,Sedang
+289,Bagus,99,7.1,2.0,2,2,6.0,Intensif
+290,Bagus,97,7.7,2.0,2,2,6.0,Intensif
+291,Jenuh,35,4.9,0.0,0,1,1.0,Ringan
+292,Biasa Saja,53,8.2,1.0,2,1,4.0,Sedang
+293,Bagus,84,7.9,2.0,2,2,6.0,Intensif
+294,Biasa Saja,62,4.4,1.0,0,2,3.0,Ringan
+295,Lumayan,65,6.8,1.5,1,2,4.5,Sedang
+296,Lumayan,77,6.1,1.5,1,2,4.5,Sedang
+297,Bagus,98,8.7,2.0,2,2,6.0,Intensif
+298,Lumayan,80,7.8,1.5,2,2,5.5,Intensif
+299,Cukup Jenuh,45,6.6,0.5,1,1,2.5,Ringan
+300,Bagus,81,8.3,2.0,2,2,6.0,Intensif
+301,Biasa Saja,49,9.0,1.0,2,1,4.0,Sedang
+302,Jenuh,10,4.0,0.0,0,0,0.0,Ringan
+303,Lumayan,69,5.9,1.5,1,2,4.5,Sedang
+304,Biasa Saja,39,5.0,1.0,1,1,3.0,Ringan
+305,Lumayan,79,6.4,1.5,1,2,4.5,Sedang
+306,Jenuh,31,4.9,0.0,0,1,1.0,Ringan
+307,Biasa Saja,51,8.0,1.0,2,1,4.0,Sedang
+308,Bagus,81,9.0,2.0,2,2,6.0,Intensif
+309,Biasa Saja,62,6.7,1.0,1,2,4.0,Sedang
+310,Biasa Saja,56,4.1,1.0,0,1,2.0,Ringan
+311,Biasa Saja,46,5.6,1.0,1,1,3.0,Ringan
+312,Cukup Jenuh,33,5.8,0.5,1,1,2.5,Ringan
+313,Lumayan,63,8.6,1.5,2,2,5.5,Intensif
+314,Bagus,87,7.0,2.0,1,2,5.0,Intensif
+315,Biasa Saja,32,6.8,1.0,1,1,3.0,Ringan
+316,Cukup Jenuh,36,5.2,0.5,1,1,2.5,Ringan
+317,Cukup Jenuh,31,5.6,0.5,1,1,2.5,Ringan
+318,Lumayan,96,7.3,1.5,2,2,5.5,Intensif
+319,Lumayan,59,6.2,1.5,1,1,3.5,Sedang
+320,Bagus,75,7.8,2.0,2,2,6.0,Intensif
+321,Cukup Jenuh,37,5.7,0.5,1,1,2.5,Ringan
+322,Cukup Jenuh,26,3.0,0.5,0,0,0.5,Ringan
+323,Biasa Saja,70,5.8,1.0,1,2,4.0,Sedang
+324,Jenuh,29,4.0,0.0,0,0,0.0,Ringan
+325,Biasa Saja,71,7.4,1.0,2,2,5.0,Intensif
+326,Biasa Saja,65,7.1,1.0,2,2,5.0,Intensif
+327,Lumayan,98,8.1,1.5,2,2,5.5,Intensif
+328,Cukup Jenuh,39,5.5,0.5,1,1,2.5,Ringan
+329,Lumayan,77,6.2,1.5,1,2,4.5,Sedang
+330,Cukup Jenuh,39,5.5,0.5,1,1,2.5,Ringan
+331,Lumayan,100,6.5,1.5,1,2,4.5,Sedang
+332,Biasa Saja,32,7.7,1.0,2,1,4.0,Sedang
+333,Cukup Jenuh,42,4.5,0.5,0,1,1.5,Ringan
+334,Bagus,99,8.7,2.0,2,2,6.0,Intensif
+335,Cukup Jenuh,50,6.9,0.5,1,1,2.5,Ringan
+336,Biasa Saja,33,8.3,1.0,2,1,4.0,Sedang
+337,Lumayan,78,5.8,1.5,1,2,4.5,Sedang
+338,Biasa Saja,57,6.0,1.0,1,1,3.0,Ringan
+339,Bagus,64,8.3,2.0,2,2,6.0,Intensif
+340,Bagus,84,7.1,2.0,2,2,6.0,Intensif
+341,Lumayan,73,8.8,1.5,2,2,5.5,Intensif
+342,Jenuh,20,3.9,0.0,0,0,0.0,Ringan
+343,Biasa Saja,22,4.3,1.0,0,0,1.0,Ringan
+344,Bagus,114,7.5,2.0,2,2,6.0,Intensif
+345,Biasa Saja,46,6.9,1.0,1,1,3.0,Ringan
+346,Cukup Jenuh,23,6.2,0.5,1,0,1.5,Ringan
+347,Bagus,73,9.0,2.0,2,2,6.0,Intensif
+348,Bagus,90,7.8,2.0,2,2,6.0,Intensif
+349,Jenuh,39,4.6,0.0,0,1,1.0,Ringan
+350,Bagus,94,7.3,2.0,2,2,6.0,Intensif
+351,Lumayan,84,7.0,1.5,1,2,4.5,Sedang
+352,Lumayan,87,7.2,1.5,2,2,5.5,Intensif
+353,Biasa Saja,65,6.8,1.0,1,2,4.0,Sedang
+354,Biasa Saja,54,5.0,1.0,1,1,3.0,Ringan
+355,Lumayan,111,5.5,1.5,1,2,4.5,Sedang
+356,Biasa Saja,54,5.4,1.0,1,1,3.0,Ringan
+357,Bagus,81,7.8,2.0,2,2,6.0,Intensif
+358,Lumayan,74,6.1,1.5,1,2,4.5,Sedang
+359,Biasa Saja,18,5.8,1.0,1,0,2.0,Ringan
+360,Biasa Saja,38,8.0,1.0,2,1,4.0,Sedang
+361,Lumayan,74,5.0,1.5,1,2,4.5,Sedang
+362,Lumayan,74,9.0,1.5,2,2,5.5,Intensif
+363,Lumayan,75,6.2,1.5,1,2,4.5,Sedang
+364,Lumayan,75,5.2,1.5,1,2,4.5,Sedang
+365,Cukup Jenuh,32,5.0,0.5,1,1,2.5,Ringan
+366,Bagus,107,8.0,2.0,2,2,6.0,Intensif
+367,Bagus,113,8.6,2.0,2,2,6.0,Intensif
+368,Biasa Saja,60,9.0,1.0,2,1,4.0,Sedang
+369,Bagus,107,7.8,2.0,2,2,6.0,Intensif
+370,Cukup Jenuh,44,6.7,0.5,1,1,2.5,Ringan
+371,Lumayan,61,9.0,1.5,2,2,5.5,Intensif
+372,Lumayan,79,5.9,1.5,1,2,4.5,Sedang
+373,Cukup Jenuh,30,5.5,0.5,1,0,1.5,Ringan
+374,Jenuh,19,5.0,0.0,1,0,1.0,Ringan
+375,Biasa Saja,87,6.5,1.0,1,2,4.0,Sedang
+376,Cukup Jenuh,42,5.1,0.5,1,1,2.5,Ringan
+377,Lumayan,77,6.6,1.5,1,2,4.5,Sedang
+378,Lumayan,79,5.7,1.5,1,2,4.5,Sedang
+379,Cukup Jenuh,18,6.1,0.5,1,0,1.5,Ringan
+380,Bagus,112,7.9,2.0,2,2,6.0,Intensif
+381,Jenuh,10,4.7,0.0,0,0,0.0,Ringan
+382,Jenuh,45,4.2,0.0,0,1,1.0,Ringan
+383,Biasa Saja,54,8.1,1.0,2,1,4.0,Sedang
+384,Cukup Jenuh,29,4.1,0.5,0,0,0.5,Ringan
+385,Lumayan,102,8.7,1.5,2,2,5.5,Intensif
+386,Biasa Saja,44,7.1,1.0,2,1,4.0,Sedang
+387,Cukup Jenuh,28,5.7,0.5,1,0,1.5,Ringan
+388,Biasa Saja,50,7.0,1.0,1,1,3.0,Ringan
+389,Bagus,87,7.3,2.0,2,2,6.0,Intensif
+390,Cukup Jenuh,37,3.1,0.5,0,1,1.5,Ringan
+391,Cukup Jenuh,23,6.0,0.5,1,0,1.5,Ringan
+392,Bagus,70,7.7,2.0,2,2,6.0,Intensif
+393,Cukup Jenuh,38,5.8,0.5,1,1,2.5,Ringan
+394,Biasa Saja,50,4.2,1.0,0,1,2.0,Ringan
+395,Lumayan,49,6.6,1.5,1,1,3.5,Sedang
+396,Lumayan,99,6.1,1.5,1,2,4.5,Sedang
+397,Bagus,112,8.8,2.0,2,2,6.0,Intensif
+398,Bagus,119,7.8,2.0,2,2,6.0,Intensif
+399,Lumayan,83,7.1,1.5,2,2,5.5,Intensif
+400,Lumayan,82,6.0,1.5,1,2,4.5,Sedang
+401,Biasa Saja,54,6.4,1.0,1,1,3.0,Ringan
+402,Cukup Jenuh,24,6.3,0.5,1,0,1.5,Ringan
+403,Lumayan,35,6.6,1.5,1,1,3.5,Sedang
+404,Cukup Jenuh,39,6.7,0.5,1,1,2.5,Ringan
+405,Bagus,37,8.0,2.0,2,1,5.0,Intensif
+406,Lumayan,83,5.2,1.5,1,2,4.5,Sedang
+407,Bagus,74,8.2,2.0,2,2,6.0,Intensif
+408,Biasa Saja,45,6.9,1.0,1,1,3.0,Ringan
+409,Biasa Saja,58,6.2,1.0,1,1,3.0,Ringan
+410,Biasa Saja,85,6.5,1.0,1,2,4.0,Sedang
+411,Lumayan,96,6.8,1.5,1,2,4.5,Sedang
+412,Biasa Saja,61,6.8,1.0,1,2,4.0,Sedang
+413,Bagus,72,7.5,2.0,2,2,6.0,Intensif
+414,Biasa Saja,59,5.3,1.0,1,1,3.0,Ringan
+415,Cukup Jenuh,38,6.4,0.5,1,1,2.5,Ringan
+416,Lumayan,103,7.0,1.5,1,2,4.5,Sedang
+417,Lumayan,94,6.1,1.5,1,2,4.5,Sedang
+418,Lumayan,86,8.1,1.5,2,2,5.5,Intensif
+419,Cukup Jenuh,48,6.1,0.5,1,1,2.5,Ringan
+420,Lumayan,54,6.7,1.5,1,1,3.5,Sedang
+421,Cukup Jenuh,20,4.9,0.5,0,0,0.5,Ringan
+422,Biasa Saja,78,5.2,1.0,1,2,4.0,Sedang
+423,Lumayan,48,5.5,1.5,1,1,3.5,Sedang
+424,Biasa Saja,44,6.8,1.0,1,1,3.0,Ringan
+425,Lumayan,120,5.5,1.5,1,2,4.5,Sedang
+426,Biasa Saja,71,6.6,1.0,1,2,4.0,Sedang
+427,Cukup Jenuh,18,4.4,0.5,0,0,0.5,Ringan
+428,Lumayan,89,9.0,1.5,2,2,5.5,Intensif
+429,Biasa Saja,67,7.4,1.0,2,2,5.0,Intensif
+430,Cukup Jenuh,38,6.1,0.5,1,1,2.5,Ringan
+431,Biasa Saja,50,5.4,1.0,1,1,3.0,Ringan
+432,Lumayan,55,5.2,1.5,1,1,3.5,Sedang
+433,Lumayan,102,6.8,1.5,1,2,4.5,Sedang
+434,Bagus,110,8.8,2.0,2,2,6.0,Intensif
+435,Lumayan,70,5.0,1.5,1,2,4.5,Sedang
+436,Biasa Saja,63,5.0,1.0,1,2,4.0,Sedang
+437,Biasa Saja,59,5.6,1.0,1,1,3.0,Ringan
+438,Lumayan,73,8.6,1.5,2,2,5.5,Intensif
+439,Cukup Jenuh,30,6.7,0.5,1,0,1.5,Ringan
+440,Biasa Saja,60,8.3,1.0,2,1,4.0,Sedang
+441,Biasa Saja,45,5.4,1.0,1,1,3.0,Ringan
+442,Biasa Saja,50,8.2,1.0,2,1,4.0,Sedang
+443,Jenuh,18,4.6,0.0,0,0,0.0,Ringan
+444,Bagus,83,7.7,2.0,2,2,6.0,Intensif
+445,Biasa Saja,59,5.5,1.0,1,1,3.0,Ringan
+446,Bagus,70,9.0,2.0,2,2,6.0,Intensif
+447,Bagus,103,7.5,2.0,2,2,6.0,Intensif
+448,Lumayan,107,8.3,1.5,2,2,5.5,Intensif
+449,Biasa Saja,34,5.7,1.0,1,1,3.0,Ringan
+450,Lumayan,74,7.0,1.5,1,2,4.5,Sedang
+451,Biasa Saja,79,5.3,1.0,1,2,4.0,Sedang
+452,Biasa Saja,71,8.0,1.0,2,2,5.0,Intensif
+453,Bagus,127,7.4,2.0,2,2,6.0,Intensif
+454,Cukup Jenuh,27,4.8,0.5,0,0,0.5,Ringan
+455,Lumayan,59,6.6,1.5,1,1,3.5,Sedang
+456,Biasa Saja,65,5.6,1.0,1,2,4.0,Sedang
+457,Biasa Saja,67,7.0,1.0,1,2,4.0,Sedang
+458,Cukup Jenuh,22,4.7,0.5,0,0,0.5,Ringan
+459,Bagus,103,9.0,2.0,2,2,6.0,Intensif
+460,Cukup Jenuh,28,6.6,0.5,1,0,1.5,Ringan
+461,Bagus,76,7.3,2.0,2,2,6.0,Intensif
+462,Biasa Saja,56,5.1,1.0,1,1,3.0,Ringan
+463,Biasa Saja,73,5.4,1.0,1,2,4.0,Sedang
+464,Lumayan,46,5.7,1.5,1,1,3.5,Sedang
+465,Lumayan,77,8.3,1.5,2,2,5.5,Intensif
+466,Biasa Saja,58,5.4,1.0,1,1,3.0,Ringan
+467,Biasa Saja,52,6.7,1.0,1,1,3.0,Ringan
+468,Cukup Jenuh,26,4.9,0.5,0,0,0.5,Ringan
+469,Cukup Jenuh,40,3.7,0.5,0,1,1.5,Ringan
+470,Lumayan,52,9.0,1.5,2,1,4.5,Sedang
+471,Cukup Jenuh,43,6.5,0.5,1,1,2.5,Ringan
+472,Cukup Jenuh,39,5.9,0.5,1,1,2.5,Ringan
+473,Lumayan,73,6.6,1.5,1,2,4.5,Sedang
+474,Bagus,106,7.4,2.0,2,2,6.0,Intensif
+475,Lumayan,59,6.2,1.5,1,1,3.5,Sedang
+476,Jenuh,38,4.9,0.0,0,1,1.0,Ringan
+477,Bagus,104,8.1,2.0,2,2,6.0,Intensif
+478,Lumayan,68,9.0,1.5,2,2,5.5,Intensif
+479,Lumayan,48,6.5,1.5,1,1,3.5,Sedang
+480,Lumayan,55,5.9,1.5,1,1,3.5,Sedang
+481,Cukup Jenuh,40,6.6,0.5,1,1,2.5,Ringan
+482,Cukup Jenuh,28,3.8,0.5,0,0,0.5,Ringan
+483,Biasa Saja,52,5.1,1.0,1,1,3.0,Ringan
+484,Lumayan,49,7.3,1.5,2,1,4.5,Sedang
+485,Lumayan,104,6.2,1.5,1,2,4.5,Sedang
+486,Lumayan,66,5.7,1.5,1,2,4.5,Sedang
+487,Biasa Saja,50,5.6,1.0,1,1,3.0,Ringan
+488,Cukup Jenuh,27,6.5,0.5,1,0,1.5,Ringan
+489,Bagus,118,7.2,2.0,2,2,6.0,Intensif
+490,Bagus,140,7.2,2.0,2,2,6.0,Intensif
+491,Cukup Jenuh,32,4.4,0.5,0,1,1.5,Ringan
+492,Lumayan,68,8.3,1.5,2,2,5.5,Intensif
+493,Lumayan,23,5.6,1.5,1,0,2.5,Ringan
+494,Bagus,79,7.8,2.0,2,2,6.0,Intensif
+495,Biasa Saja,57,4.3,1.0,0,1,2.0,Ringan
+496,Biasa Saja,54,5.0,1.0,1,1,3.0,Ringan
+497,Bagus,91,8.3,2.0,2,2,6.0,Intensif
+498,Cukup Jenuh,34,4.7,0.5,0,1,1.5,Ringan
+499,Lumayan,109,6.2,1.5,1,2,4.5,Sedang
+500,Biasa Saja,20,5.2,1.0,1,0,2.0,Ringan
+501,Biasa Saja,70,5.5,1.0,1,2,4.0,Sedang
+502,Jenuh,20,4.1,0.0,0,0,0.0,Ringan
+503,Lumayan,62,9.0,1.5,2,2,5.5,Intensif
+504,Biasa Saja,66,6.9,1.0,1,2,4.0,Sedang
+505,Lumayan,59,6.5,1.5,1,1,3.5,Sedang
+506,Biasa Saja,80,6.6,1.0,1,2,4.0,Sedang
+507,Lumayan,78,6.0,1.5,1,2,4.5,Sedang
+508,Lumayan,100,5.3,1.5,1,2,4.5,Sedang
+509,Lumayan,61,8.3,1.5,2,2,5.5,Intensif
+510,Lumayan,66,5.8,1.5,1,2,4.5,Sedang
+511,Bagus,109,8.3,2.0,2,2,6.0,Intensif
+512,Bagus,121,7.4,2.0,2,2,6.0,Intensif
+513,Biasa Saja,51,6.0,1.0,1,1,3.0,Ringan
+514,Lumayan,99,7.5,1.5,2,2,5.5,Intensif
+515,Cukup Jenuh,44,5.5,0.5,1,1,2.5,Ringan
+516,Lumayan,110,8.7,1.5,2,2,5.5,Intensif
+517,Bagus,116,7.3,2.0,2,2,6.0,Intensif
+518,Bagus,90,7.3,2.0,2,2,6.0,Intensif
+519,Cukup Jenuh,15,4.9,0.5,0,0,0.5,Ringan
+520,Bagus,97,7.4,2.0,2,2,6.0,Intensif
+521,Cukup Jenuh,32,6.2,0.5,1,1,2.5,Ringan
+522,Jenuh,34,4.5,0.0,0,1,1.0,Ringan
+523,Biasa Saja,59,6.2,1.0,1,1,3.0,Ringan
+524,Lumayan,72,8.3,1.5,2,2,5.5,Intensif
+525,Bagus,118,7.5,2.0,2,2,6.0,Intensif
+526,Cukup Jenuh,35,7.0,0.5,1,1,2.5,Ringan
+527,Biasa Saja,45,7.1,1.0,2,1,4.0,Sedang
+528,Cukup Jenuh,20,6.5,0.5,1,0,1.5,Ringan
+529,Biasa Saja,80,7.0,1.0,1,2,4.0,Sedang
+530,Cukup Jenuh,35,3.7,0.5,0,1,1.5,Ringan
+531,Lumayan,82,7.6,1.5,2,2,5.5,Intensif
+532,Biasa Saja,62,5.6,1.0,1,2,4.0,Sedang
+533,Cukup Jenuh,26,6.2,0.5,1,0,1.5,Ringan
+534,Biasa Saja,33,6.9,1.0,1,1,3.0,Ringan
+535,Cukup Jenuh,39,4.7,0.5,0,1,1.5,Ringan
+536,Lumayan,104,6.9,1.5,1,2,4.5,Sedang
+537,Cukup Jenuh,41,5.3,0.5,1,1,2.5,Ringan
+538,Biasa Saja,38,4.3,1.0,0,1,2.0,Ringan
+539,Biasa Saja,49,7.6,1.0,2,1,4.0,Sedang
+540,Biasa Saja,23,5.3,1.0,1,0,2.0,Ringan
+541,Lumayan,93,6.8,1.5,1,2,4.5,Sedang
+542,Bagus,79,9.0,2.0,2,2,6.0,Intensif
+543,Jenuh,37,4.2,0.0,0,1,1.0,Ringan
+544,Biasa Saja,42,6.8,1.0,1,1,3.0,Ringan
+545,Biasa Saja,57,5.7,1.0,1,1,3.0,Ringan
+546,Lumayan,112,9.0,1.5,2,2,5.5,Intensif
+547,Bagus,106,8.0,2.0,2,2,6.0,Intensif
+548,Lumayan,101,6.5,1.5,1,2,4.5,Sedang
+549,Biasa Saja,48,6.2,1.0,1,1,3.0,Ringan
+550,Lumayan,88,7.9,1.5,2,2,5.5,Intensif
+551,Cukup Jenuh,33,4.8,0.5,0,1,1.5,Ringan
+552,Lumayan,72,5.2,1.5,1,2,4.5,Sedang
+553,Biasa Saja,64,8.8,1.0,2,2,5.0,Intensif
+554,Biasa Saja,63,6.8,1.0,1,2,4.0,Sedang
+555,Bagus,106,8.3,2.0,2,2,6.0,Intensif
+556,Bagus,88,8.2,2.0,2,2,6.0,Intensif
+557,Bagus,125,9.0,2.0,2,2,6.0,Intensif
+558,Biasa Saja,37,4.4,1.0,0,1,2.0,Ringan
+559,Lumayan,39,6.7,1.5,1,1,3.5,Sedang
+560,Biasa Saja,52,8.0,1.0,2,1,4.0,Sedang
+561,Bagus,84,7.3,2.0,2,2,6.0,Intensif
+562,Biasa Saja,54,4.8,1.0,0,1,2.0,Ringan
+563,Biasa Saja,81,6.5,1.0,1,2,4.0,Sedang
+564,Bagus,110,7.9,2.0,2,2,6.0,Intensif
+565,Biasa Saja,59,5.0,1.0,1,1,3.0,Ringan
+566,Bagus,97,7.0,2.0,1,2,5.0,Intensif
+567,Lumayan,70,6.3,1.5,1,2,4.5,Sedang
+568,Bagus,90,7.0,2.0,1,2,5.0,Intensif
+569,Bagus,78,7.9,2.0,2,2,6.0,Intensif
+570,Lumayan,74,5.7,1.5,1,2,4.5,Sedang
+571,Cukup Jenuh,43,3.0,0.5,0,1,1.5,Ringan
+572,Biasa Saja,56,6.9,1.0,1,1,3.0,Ringan
+573,Jenuh,19,4.2,0.0,0,0,0.0,Ringan
+574,Cukup Jenuh,40,4.8,0.5,0,1,1.5,Ringan
+575,Lumayan,74,7.2,1.5,2,2,5.5,Intensif
+576,Lumayan,68,5.3,1.5,1,2,4.5,Sedang
+577,Cukup Jenuh,26,5.4,0.5,1,0,1.5,Ringan
+578,Bagus,148,8.0,2.0,2,2,6.0,Intensif
+579,Bagus,108,7.1,2.0,2,2,6.0,Intensif
+580,Bagus,131,7.1,2.0,2,2,6.0,Intensif
+581,Biasa Saja,11,4.9,1.0,0,0,1.0,Ringan
+582,Biasa Saja,85,5.8,1.0,1,2,4.0,Sedang
+583,Bagus,136,7.4,2.0,2,2,6.0,Intensif
+584,Bagus,96,8.6,2.0,2,2,6.0,Intensif
+585,Lumayan,59,5.5,1.5,1,1,3.5,Sedang
+586,Lumayan,59,8.2,1.5,2,1,4.5,Sedang
+587,Cukup Jenuh,32,7.0,0.5,1,1,2.5,Ringan
+588,Biasa Saja,62,6.0,1.0,1,2,4.0,Sedang
+589,Lumayan,73,7.8,1.5,2,2,5.5,Intensif
+590,Biasa Saja,54,5.0,1.0,1,1,3.0,Ringan
+591,Biasa Saja,72,5.9,1.0,1,2,4.0,Sedang
+592,Jenuh,27,3.8,0.0,0,0,0.0,Ringan
+593,Lumayan,96,9.0,1.5,2,2,5.5,Intensif
+594,Lumayan,71,7.6,1.5,2,2,5.5,Intensif
+595,Lumayan,58,7.2,1.5,2,1,4.5,Sedang
+596,Biasa Saja,48,7.8,1.0,2,1,4.0,Sedang
+597,Lumayan,66,6.0,1.5,1,2,4.5,Sedang
+598,Lumayan,90,6.9,1.5,1,2,4.5,Sedang
+599,Bagus,73,9.0,2.0,2,2,6.0,Intensif
+600,Biasa Saja,58,6.8,1.0,1,1,3.0,Ringan
+601,Cukup Jenuh,39,6.4,0.5,1,1,2.5,Ringan
+602,Bagus,123,8.2,2.0,2,2,6.0,Intensif
+603,Lumayan,94,6.2,1.5,1,2,4.5,Sedang
+604,Biasa Saja,50,6.5,1.0,1,1,3.0,Ringan
+605,Bagus,101,7.4,2.0,2,2,6.0,Intensif
+606,Cukup Jenuh,40,5.3,0.5,1,1,2.5,Ringan
+607,Biasa Saja,74,6.8,1.0,1,2,4.0,Sedang
+608,Cukup Jenuh,15,6.0,0.5,1,0,1.5,Ringan
+609,Cukup Jenuh,28,3.3,0.5,0,0,0.5,Ringan
+610,Lumayan,94,5.8,1.5,1,2,4.5,Sedang
+611,Bagus,105,7.8,2.0,2,2,6.0,Intensif
+612,Lumayan,66,5.7,1.5,1,2,4.5,Sedang
+613,Lumayan,68,8.9,1.5,2,2,5.5,Intensif
+614,Jenuh,37,4.2,0.0,0,1,1.0,Ringan
+615,Lumayan,74,7.1,1.5,2,2,5.5,Intensif
+616,Bagus,79,7.1,2.0,2,2,6.0,Intensif
+617,Lumayan,79,5.8,1.5,1,2,4.5,Sedang
+618,Cukup Jenuh,40,5.9,0.5,1,1,2.5,Ringan
+619,Lumayan,48,7.8,1.5,2,1,4.5,Sedang
+620,Biasa Saja,56,3.6,1.0,0,1,2.0,Ringan
+621,Biasa Saja,57,7.3,1.0,2,1,4.0,Sedang
+622,Lumayan,88,7.6,1.5,2,2,5.5,Intensif
+623,Lumayan,70,7.1,1.5,2,2,5.5,Intensif
+624,Biasa Saja,57,5.1,1.0,1,1,3.0,Ringan
+625,Lumayan,72,8.2,1.5,2,2,5.5,Intensif
+626,Lumayan,73,6.9,1.5,1,2,4.5,Sedang
+627,Biasa Saja,53,5.7,1.0,1,1,3.0,Ringan
+628,Cukup Jenuh,39,6.2,0.5,1,1,2.5,Ringan
+629,Lumayan,69,7.3,1.5,2,2,5.5,Intensif
+630,Bagus,84,7.8,2.0,2,2,6.0,Intensif
+631,Bagus,131,7.1,2.0,2,2,6.0,Intensif
+632,Cukup Jenuh,32,3.7,0.5,0,1,1.5,Ringan
+633,Jenuh,14,4.9,0.0,0,0,0.0,Ringan
+634,Lumayan,92,7.1,1.5,2,2,5.5,Intensif
+635,Biasa Saja,52,6.3,1.0,1,1,3.0,Ringan
+636,Cukup Jenuh,30,6.6,0.5,1,0,1.5,Ringan
+637,Lumayan,98,6.6,1.5,1,2,4.5,Sedang
+638,Bagus,118,7.0,2.0,1,2,5.0,Intensif
+639,Biasa Saja,62,8.0,1.0,2,2,5.0,Intensif
+640,Bagus,148,7.5,2.0,2,2,6.0,Intensif
+641,Biasa Saja,27,5.5,1.0,1,0,2.0,Ringan
+642,Bagus,99,7.8,2.0,2,2,6.0,Intensif
+643,Lumayan,101,8.9,1.5,2,2,5.5,Intensif
+644,Cukup Jenuh,42,5.0,0.5,1,1,2.5,Ringan
+645,Biasa Saja,42,6.1,1.0,1,1,3.0,Ringan
+646,Lumayan,77,7.1,1.5,2,2,5.5,Intensif
+647,Biasa Saja,80,6.6,1.0,1,2,4.0,Sedang
+648,Lumayan,71,6.3,1.5,1,2,4.5,Sedang
+649,Lumayan,74,5.6,1.5,1,2,4.5,Sedang
+650,Lumayan,33,6.2,1.5,1,1,3.5,Sedang
+651,Biasa Saja,66,4.2,1.0,0,2,3.0,Ringan
+652,Lumayan,75,6.2,1.5,1,2,4.5,Sedang
+653,Cukup Jenuh,27,6.0,0.5,1,0,1.5,Ringan
+654,Bagus,149,7.2,2.0,2,2,6.0,Intensif
+655,Lumayan,88,6.3,1.5,1,2,4.5,Sedang
+656,Lumayan,80,5.2,1.5,1,2,4.5,Sedang
+657,Bagus,95,8.1,2.0,2,2,6.0,Intensif
+658,Lumayan,61,5.9,1.5,1,2,4.5,Sedang
+659,Jenuh,10,3.8,0.0,0,0,0.0,Ringan
+660,Bagus,125,7.7,2.0,2,2,6.0,Intensif
+661,Lumayan,77,5.8,1.5,1,2,4.5,Sedang
+662,Biasa Saja,45,6.7,1.0,1,1,3.0,Ringan
+663,Biasa Saja,41,6.1,1.0,1,1,3.0,Ringan
+664,Biasa Saja,50,5.2,1.0,1,1,3.0,Ringan
+665,Lumayan,76,6.3,1.5,1,2,4.5,Sedang
+666,Lumayan,71,7.3,1.5,2,2,5.5,Intensif
+667,Cukup Jenuh,49,4.9,0.5,0,1,1.5,Ringan
+668,Cukup Jenuh,42,6.8,0.5,1,1,2.5,Ringan
+669,Cukup Jenuh,38,5.6,0.5,1,1,2.5,Ringan
+670,Lumayan,60,6.6,1.5,1,1,3.5,Sedang
+671,Lumayan,70,6.5,1.5,1,2,4.5,Sedang
+672,Bagus,85,9.0,2.0,2,2,6.0,Intensif
+673,Lumayan,54,6.7,1.5,1,1,3.5,Sedang
+674,Biasa Saja,74,7.8,1.0,2,2,5.0,Intensif
+675,Biasa Saja,81,5.5,1.0,1,2,4.0,Sedang
+676,Biasa Saja,38,5.1,1.0,1,1,3.0,Ringan
+677,Biasa Saja,51,8.6,1.0,2,1,4.0,Sedang
+678,Cukup Jenuh,28,3.8,0.5,0,0,0.5,Ringan
+679,Lumayan,41,8.5,1.5,2,1,4.5,Sedang
+680,Lumayan,104,5.0,1.5,1,2,4.5,Sedang
+681,Jenuh,22,4.8,0.0,0,0,0.0,Ringan
+682,Lumayan,66,5.1,1.5,1,2,4.5,Sedang
+683,Bagus,122,8.5,2.0,2,2,6.0,Intensif
+684,Lumayan,60,6.3,1.5,1,1,3.5,Sedang
+685,Bagus,127,7.9,2.0,2,2,6.0,Intensif
+686,Bagus,85,9.0,2.0,2,2,6.0,Intensif
+687,Biasa Saja,54,5.8,1.0,1,1,3.0,Ringan
+688,Lumayan,83,6.3,1.5,1,2,4.5,Sedang
+689,Lumayan,67,6.4,1.5,1,2,4.5,Sedang
+690,Jenuh,21,3.8,0.0,0,0,0.0,Ringan
+691,Lumayan,68,7.5,1.5,2,2,5.5,Intensif
+692,Cukup Jenuh,20,4.2,0.5,0,0,0.5,Ringan
+693,Cukup Jenuh,36,4.7,0.5,0,1,1.5,Ringan
+694,Biasa Saja,58,8.9,1.0,2,1,4.0,Sedang
+695,Biasa Saja,46,3.8,1.0,0,1,2.0,Ringan
+696,Jenuh,16,4.6,0.0,0,0,0.0,Ringan
+697,Cukup Jenuh,42,3.5,0.5,0,1,1.5,Ringan
+698,Biasa Saja,38,6.2,1.0,1,1,3.0,Ringan
+699,Jenuh,22,3.0,0.0,0,0,0.0,Ringan
+700,Biasa Saja,68,6.9,1.0,1,2,4.0,Sedang
+701,Cukup Jenuh,39,4.7,0.5,0,1,1.5,Ringan
+702,Biasa Saja,46,6.5,1.0,1,1,3.0,Ringan
+703,Biasa Saja,62,6.9,1.0,1,2,4.0,Sedang
+704,Biasa Saja,59,6.0,1.0,1,1,3.0,Ringan
+705,Biasa Saja,49,7.4,1.0,2,1,4.0,Sedang
+706,Cukup Jenuh,23,6.3,0.5,1,0,1.5,Ringan
+707,Lumayan,73,8.2,1.5,2,2,5.5,Intensif
+708,Biasa Saja,42,4.3,1.0,0,1,2.0,Ringan
+709,Biasa Saja,75,5.6,1.0,1,2,4.0,Sedang
+710,Biasa Saja,50,9.0,1.0,2,1,4.0,Sedang
+711,Cukup Jenuh,37,6.4,0.5,1,1,2.5,Ringan
+712,Biasa Saja,77,7.1,1.0,2,2,5.0,Intensif
+713,Cukup Jenuh,33,6.2,0.5,1,1,2.5,Ringan
+714,Biasa Saja,51,8.2,1.0,2,1,4.0,Sedang
+715,Lumayan,16,7.4,1.5,2,0,3.5,Sedang
+716,Lumayan,70,9.0,1.5,2,2,5.5,Intensif
+717,Lumayan,83,5.3,1.5,1,2,4.5,Sedang
+718,Bagus,84,8.2,2.0,2,2,6.0,Intensif
+719,Bagus,105,7.9,2.0,2,2,6.0,Intensif
+720,Bagus,109,7.3,2.0,2,2,6.0,Intensif
+721,Lumayan,90,7.7,1.5,2,2,5.5,Intensif
+722,Lumayan,83,7.4,1.5,2,2,5.5,Intensif
+723,Lumayan,57,6.5,1.5,1,1,3.5,Sedang
+724,Biasa Saja,30,4.0,1.0,0,0,1.0,Ringan
+725,Cukup Jenuh,31,5.3,0.5,1,1,2.5,Ringan
+726,Lumayan,87,6.5,1.5,1,2,4.5,Sedang
+727,Biasa Saja,42,6.5,1.0,1,1,3.0,Ringan
+728,Lumayan,76,6.2,1.5,1,2,4.5,Sedang
+729,Biasa Saja,43,4.1,1.0,0,1,2.0,Ringan
+730,Biasa Saja,45,7.8,1.0,2,1,4.0,Sedang
+731,Bagus,91,7.7,2.0,2,2,6.0,Intensif
+732,Cukup Jenuh,33,4.2,0.5,0,1,1.5,Ringan
+733,Lumayan,80,6.6,1.5,1,2,4.5,Sedang
+734,Cukup Jenuh,38,5.2,0.5,1,1,2.5,Ringan
+735,Cukup Jenuh,36,3.0,0.5,0,1,1.5,Ringan
+736,Biasa Saja,57,5.5,1.0,1,1,3.0,Ringan
+737,Biasa Saja,40,7.7,1.0,2,1,4.0,Sedang
+738,Biasa Saja,75,6.9,1.0,1,2,4.0,Sedang
+739,Bagus,84,7.1,2.0,2,2,6.0,Intensif
+740,Biasa Saja,54,3.7,1.0,0,1,2.0,Ringan
+741,Biasa Saja,57,5.7,1.0,1,1,3.0,Ringan
+742,Lumayan,75,5.6,1.5,1,2,4.5,Sedang
+743,Cukup Jenuh,36,6.0,0.5,1,1,2.5,Ringan
+744,Lumayan,97,5.2,1.5,1,2,4.5,Sedang
+745,Jenuh,16,4.5,0.0,0,0,0.0,Ringan
+746,Biasa Saja,45,8.0,1.0,2,1,4.0,Sedang
+747,Bagus,92,7.8,2.0,2,2,6.0,Intensif
+748,Lumayan,114,6.4,1.5,1,2,4.5,Sedang
+749,Bagus,113,8.6,2.0,2,2,6.0,Intensif
+750,Lumayan,58,7.3,1.5,2,1,4.5,Sedang
+751,Lumayan,78,6.6,1.5,1,2,4.5,Sedang
+752,Biasa Saja,50,6.8,1.0,1,1,3.0,Ringan
+753,Cukup Jenuh,30,6.3,0.5,1,0,1.5,Ringan
+754,Cukup Jenuh,35,3.0,0.5,0,1,1.5,Ringan
+755,Lumayan,50,5.7,1.5,1,1,3.5,Sedang
+756,Biasa Saja,50,8.4,1.0,2,1,4.0,Sedang
+757,Bagus,72,7.4,2.0,2,2,6.0,Intensif
+758,Biasa Saja,60,6.1,1.0,1,1,3.0,Ringan
+759,Biasa Saja,67,4.2,1.0,0,2,3.0,Ringan
+760,Bagus,111,8.4,2.0,2,2,6.0,Intensif
+761,Jenuh,41,4.7,0.0,0,1,1.0,Ringan
+762,Lumayan,72,6.8,1.5,1,2,4.5,Sedang
+763,Lumayan,71,5.7,1.5,1,2,4.5,Sedang
+764,Jenuh,26,3.9,0.0,0,0,0.0,Ringan
+765,Biasa Saja,40,6.2,1.0,1,1,3.0,Ringan
+766,Lumayan,26,7.7,1.5,2,0,3.5,Sedang
+767,Cukup Jenuh,32,6.5,0.5,1,1,2.5,Ringan
+768,Bagus,99,9.0,2.0,2,2,6.0,Intensif
+769,Lumayan,89,7.6,1.5,2,2,5.5,Intensif
+770,Lumayan,78,6.1,1.5,1,2,4.5,Sedang
+771,Lumayan,105,6.7,1.5,1,2,4.5,Sedang
+772,Biasa Saja,34,8.0,1.0,2,1,4.0,Sedang
+773,Biasa Saja,58,6.8,1.0,1,1,3.0,Ringan
+774,Cukup Jenuh,25,3.1,0.5,0,0,0.5,Ringan
+775,Biasa Saja,30,6.3,1.0,1,0,2.0,Ringan
+776,Cukup Jenuh,34,5.5,0.5,1,1,2.5,Ringan
+777,Cukup Jenuh,37,6.5,0.5,1,1,2.5,Ringan
+778,Lumayan,61,6.2,1.5,1,2,4.5,Sedang
+779,Biasa Saja,50,5.9,1.0,1,1,3.0,Ringan
+780,Bagus,123,7.1,2.0,2,2,6.0,Intensif
+781,Bagus,117,7.2,2.0,2,2,6.0,Intensif
+782,Cukup Jenuh,43,4.7,0.5,0,1,1.5,Ringan
+783,Biasa Saja,61,6.1,1.0,1,2,4.0,Sedang
+784,Lumayan,87,7.0,1.5,1,2,4.5,Sedang
+785,Lumayan,116,5.2,1.5,1,2,4.5,Sedang
+786,Lumayan,86,6.6,1.5,1,2,4.5,Sedang
+787,Bagus,95,9.0,2.0,2,2,6.0,Intensif
+788,Bagus,82,7.8,2.0,2,2,6.0,Intensif
+789,Biasa Saja,78,3.2,1.0,0,2,3.0,Ringan
+790,Lumayan,50,6.2,1.5,1,1,3.5,Sedang
+791,Cukup Jenuh,40,5.9,0.5,1,1,2.5,Ringan
+792,Lumayan,81,6.6,1.5,1,2,4.5,Sedang
+793,Bagus,67,9.0,2.0,2,2,6.0,Intensif
+794,Lumayan,75,6.7,1.5,1,2,4.5,Sedang
+795,Lumayan,75,7.1,1.5,2,2,5.5,Intensif
+796,Biasa Saja,36,6.4,1.0,1,1,3.0,Ringan
+797,Lumayan,49,7.6,1.5,2,1,4.5,Sedang
+798,Biasa Saja,36,6.8,1.0,1,1,3.0,Ringan
+799,Lumayan,74,6.0,1.5,1,2,4.5,Sedang
+800,Bagus,90,7.4,2.0,2,2,6.0,Intensif
+801,Cukup Jenuh,41,4.6,0.5,0,1,1.5,Ringan
+802,Bagus,109,7.2,2.0,2,2,6.0,Intensif
+803,Biasa Saja,54,5.8,1.0,1,1,3.0,Ringan
+804,Lumayan,81,5.3,1.5,1,2,4.5,Sedang
+805,Biasa Saja,52,7.6,1.0,2,1,4.0,Sedang
+806,Jenuh,10,4.5,0.0,0,0,0.0,Ringan
+807,Jenuh,35,3.7,0.0,0,1,1.0,Ringan
+808,Bagus,63,7.1,2.0,2,2,6.0,Intensif
+809,Biasa Saja,65,4.7,1.0,0,2,3.0,Ringan
+810,Biasa Saja,55,4.2,1.0,0,1,2.0,Ringan
+811,Cukup Jenuh,41,5.9,0.5,1,1,2.5,Ringan
+812,Cukup Jenuh,54,4.2,0.5,0,1,1.5,Ringan
+813,Bagus,97,8.9,2.0,2,2,6.0,Intensif
+814,Biasa Saja,50,7.7,1.0,2,1,4.0,Sedang
+815,Biasa Saja,68,6.2,1.0,1,2,4.0,Sedang
+816,Lumayan,10,6.0,1.5,1,0,2.5,Ringan
+817,Cukup Jenuh,38,4.6,0.5,0,1,1.5,Ringan
+818,Lumayan,83,6.0,1.5,1,2,4.5,Sedang
+819,Jenuh,26,3.0,0.0,0,0,0.0,Ringan
+820,Biasa Saja,69,5.8,1.0,1,2,4.0,Sedang
+821,Bagus,118,7.5,2.0,2,2,6.0,Intensif
+822,Lumayan,96,6.7,1.5,1,2,4.5,Sedang
+823,Lumayan,73,5.7,1.5,1,2,4.5,Sedang
+824,Bagus,43,7.5,2.0,2,1,5.0,Intensif
+825,Biasa Saja,38,4.9,1.0,0,1,2.0,Ringan
+826,Biasa Saja,67,8.3,1.0,2,2,5.0,Intensif
+827,Cukup Jenuh,28,3.9,0.5,0,0,0.5,Ringan
+828,Bagus,106,7.8,2.0,2,2,6.0,Intensif
+829,Biasa Saja,51,7.7,1.0,2,1,4.0,Sedang
+830,Lumayan,40,8.7,1.5,2,1,4.5,Sedang
+831,Biasa Saja,42,6.6,1.0,1,1,3.0,Ringan
+832,Lumayan,63,7.2,1.5,2,2,5.5,Intensif
+833,Bagus,64,7.5,2.0,2,2,6.0,Intensif
+834,Bagus,111,8.0,2.0,2,2,6.0,Intensif
+835,Bagus,157,9.0,2.0,2,2,6.0,Intensif
+836,Bagus,114,8.1,2.0,2,2,6.0,Intensif
+837,Biasa Saja,62,6.8,1.0,1,2,4.0,Sedang
+838,Cukup Jenuh,41,5.9,0.5,1,1,2.5,Ringan
+839,Lumayan,52,5.7,1.5,1,1,3.5,Sedang
+840,Lumayan,93,8.1,1.5,2,2,5.5,Intensif
+841,Lumayan,88,6.5,1.5,1,2,4.5,Sedang
+842,Lumayan,64,7.2,1.5,2,2,5.5,Intensif
+843,Cukup Jenuh,34,6.1,0.5,1,1,2.5,Ringan
+844,Lumayan,84,6.4,1.5,1,2,4.5,Sedang
+845,Lumayan,86,7.8,1.5,2,2,5.5,Intensif
+846,Biasa Saja,55,9.0,1.0,2,1,4.0,Sedang
+847,Lumayan,64,7.2,1.5,2,2,5.5,Intensif
+848,Cukup Jenuh,32,5.0,0.5,1,1,2.5,Ringan
+849,Lumayan,57,5.8,1.5,1,1,3.5,Sedang
+850,Lumayan,91,7.1,1.5,2,2,5.5,Intensif
+851,Lumayan,47,7.5,1.5,2,1,4.5,Sedang
+852,Lumayan,62,6.6,1.5,1,2,4.5,Sedang
+853,Cukup Jenuh,21,5.0,0.5,1,0,1.5,Ringan
+854,Bagus,77,8.3,2.0,2,2,6.0,Intensif
+855,Biasa Saja,29,5.7,1.0,1,0,2.0,Ringan
+856,Lumayan,71,5.9,1.5,1,2,4.5,Sedang
+857,Biasa Saja,62,6.7,1.0,1,2,4.0,Sedang
+858,Cukup Jenuh,40,4.7,0.5,0,1,1.5,Ringan
+859,Lumayan,80,5.9,1.5,1,2,4.5,Sedang
+860,Cukup Jenuh,18,5.7,0.5,1,0,1.5,Ringan
+861,Lumayan,59,6.5,1.5,1,1,3.5,Sedang
+862,Lumayan,62,8.8,1.5,2,2,5.5,Intensif
+863,Cukup Jenuh,25,3.7,0.5,0,0,0.5,Ringan
+864,Biasa Saja,45,5.3,1.0,1,1,3.0,Ringan
+865,Biasa Saja,39,5.1,1.0,1,1,3.0,Ringan
+866,Lumayan,82,6.6,1.5,1,2,4.5,Sedang
+867,Biasa Saja,50,5.7,1.0,1,1,3.0,Ringan
+868,Bagus,119,8.7,2.0,2,2,6.0,Intensif
+869,Lumayan,52,7.7,1.5,2,1,4.5,Sedang
+870,Biasa Saja,68,4.1,1.0,0,2,3.0,Ringan
+871,Biasa Saja,59,8.0,1.0,2,1,4.0,Sedang
+872,Biasa Saja,59,6.2,1.0,1,1,3.0,Ringan
+873,Bagus,118,8.1,2.0,2,2,6.0,Intensif
+874,Lumayan,69,6.6,1.5,1,2,4.5,Sedang
+875,Bagus,93,7.4,2.0,2,2,6.0,Intensif
+876,Biasa Saja,61,5.9,1.0,1,2,4.0,Sedang
+877,Lumayan,71,6.5,1.5,1,2,4.5,Sedang
+878,Biasa Saja,57,7.0,1.0,1,1,3.0,Ringan
+879,Biasa Saja,30,5.8,1.0,1,0,2.0,Ringan
+880,Biasa Saja,53,6.5,1.0,1,1,3.0,Ringan
+881,Jenuh,31,4.6,0.0,0,1,1.0,Ringan
+882,Bagus,106,7.0,2.0,1,2,5.0,Intensif
+883,Lumayan,61,5.3,1.5,1,2,4.5,Sedang
+884,Lumayan,68,9.0,1.5,2,2,5.5,Intensif
+885,Cukup Jenuh,37,5.6,0.5,1,1,2.5,Ringan
+886,Biasa Saja,61,7.1,1.0,2,2,5.0,Intensif
+887,Lumayan,89,6.6,1.5,1,2,4.5,Sedang
+888,Lumayan,88,8.6,1.5,2,2,5.5,Intensif
+889,Lumayan,75,5.4,1.5,1,2,4.5,Sedang
+890,Biasa Saja,66,6.7,1.0,1,2,4.0,Sedang
+891,Cukup Jenuh,21,5.3,0.5,1,0,1.5,Ringan
+892,Bagus,107,8.2,2.0,2,2,6.0,Intensif
+893,Jenuh,31,4.5,0.0,0,1,1.0,Ringan
+894,Cukup Jenuh,14,4.1,0.5,0,0,0.5,Ringan
+895,Biasa Saja,67,5.7,1.0,1,2,4.0,Sedang
+896,Biasa Saja,55,5.5,1.0,1,1,3.0,Ringan
+897,Biasa Saja,76,5.8,1.0,1,2,4.0,Sedang
+898,Lumayan,65,5.5,1.5,1,2,4.5,Sedang
+899,Biasa Saja,60,7.7,1.0,2,1,4.0,Sedang
+900,Lumayan,81,5.5,1.5,1,2,4.5,Sedang
+901,Cukup Jenuh,26,4.9,0.5,0,0,0.5,Ringan
+902,Cukup Jenuh,40,3.3,0.5,0,1,1.5,Ringan
+903,Bagus,105,7.2,2.0,2,2,6.0,Intensif
+904,Cukup Jenuh,21,4.8,0.5,0,0,0.5,Ringan
+905,Biasa Saja,42,6.2,1.0,1,1,3.0,Ringan
+906,Jenuh,25,4.4,0.0,0,0,0.0,Ringan
+907,Biasa Saja,62,7.9,1.0,2,2,5.0,Intensif
+908,Biasa Saja,78,5.9,1.0,1,2,4.0,Sedang
+909,Bagus,76,7.2,2.0,2,2,6.0,Intensif
+910,Biasa Saja,66,4.9,1.0,0,2,3.0,Ringan
+911,Lumayan,93,8.0,1.5,2,2,5.5,Intensif
+912,Lumayan,83,6.1,1.5,1,2,4.5,Sedang
+913,Biasa Saja,50,6.2,1.0,1,1,3.0,Ringan
+914,Biasa Saja,63,4.4,1.0,0,2,3.0,Ringan
+915,Biasa Saja,46,4.4,1.0,0,1,2.0,Ringan
+916,Biasa Saja,61,6.7,1.0,1,2,4.0,Sedang
+917,Cukup Jenuh,16,4.1,0.5,0,0,0.5,Ringan
+918,Bagus,116,8.1,2.0,2,2,6.0,Intensif
+919,Jenuh,25,3.0,0.0,0,0,0.0,Ringan
+920,Bagus,139,7.3,2.0,2,2,6.0,Intensif
+921,Lumayan,80,5.1,1.5,1,2,4.5,Sedang
+922,Bagus,78,7.2,2.0,2,2,6.0,Intensif
+923,Bagus,90,7.8,2.0,2,2,6.0,Intensif
+924,Biasa Saja,58,3.0,1.0,0,1,2.0,Ringan
+925,Lumayan,52,9.0,1.5,2,1,4.5,Sedang
+926,Biasa Saja,67,4.9,1.0,0,2,3.0,Ringan
+927,Cukup Jenuh,52,6.9,0.5,1,1,2.5,Ringan
+928,Bagus,101,7.0,2.0,1,2,5.0,Intensif
+929,Bagus,82,8.1,2.0,2,2,6.0,Intensif
+930,Biasa Saja,50,7.0,1.0,1,1,3.0,Ringan
+931,Lumayan,73,5.3,1.5,1,2,4.5,Sedang
+932,Biasa Saja,69,6.1,1.0,1,2,4.0,Sedang
+933,Lumayan,79,5.6,1.5,1,2,4.5,Sedang
+934,Cukup Jenuh,48,6.1,0.5,1,1,2.5,Ringan
+935,Biasa Saja,64,3.7,1.0,0,2,3.0,Ringan
+936,Biasa Saja,32,4.6,1.0,0,1,2.0,Ringan
+937,Biasa Saja,21,5.6,1.0,1,0,2.0,Ringan
+938,Bagus,114,8.4,2.0,2,2,6.0,Intensif
+939,Bagus,72,7.5,2.0,2,2,6.0,Intensif
+940,Lumayan,105,6.9,1.5,1,2,4.5,Sedang
+941,Lumayan,104,7.2,1.5,2,2,5.5,Intensif
+942,Lumayan,87,7.6,1.5,2,2,5.5,Intensif
+943,Lumayan,57,7.1,1.5,2,1,4.5,Sedang
+944,Lumayan,85,5.4,1.5,1,2,4.5,Sedang
+945,Cukup Jenuh,39,6.9,0.5,1,1,2.5,Ringan
+946,Lumayan,103,7.3,1.5,2,2,5.5,Intensif
+947,Biasa Saja,69,6.8,1.0,1,2,4.0,Sedang
+948,Biasa Saja,36,6.4,1.0,1,1,3.0,Ringan
+949,Lumayan,61,5.2,1.5,1,2,4.5,Sedang
+950,Biasa Saja,44,5.4,1.0,1,1,3.0,Ringan
+951,Lumayan,93,6.5,1.5,1,2,4.5,Sedang
+952,Lumayan,65,6.8,1.5,1,2,4.5,Sedang
+953,Lumayan,95,7.3,1.5,2,2,5.5,Intensif
+954,Bagus,73,7.9,2.0,2,2,6.0,Intensif
+955,Lumayan,86,6.8,1.5,1,2,4.5,Sedang
+956,Biasa Saja,45,5.3,1.0,1,1,3.0,Ringan
+957,Bagus,67,7.2,2.0,2,2,6.0,Intensif
+958,Lumayan,85,8.1,1.5,2,2,5.5,Intensif
+959,Lumayan,86,5.5,1.5,1,2,4.5,Sedang
+960,Biasa Saja,76,5.1,1.0,1,2,4.0,Sedang
+961,Bagus,63,7.0,2.0,1,2,5.0,Intensif
+962,Jenuh,36,4.6,0.0,0,1,1.0,Ringan
+963,Cukup Jenuh,42,6.0,0.5,1,1,2.5,Ringan
+964,Biasa Saja,64,5.8,1.0,1,2,4.0,Sedang
+965,Biasa Saja,64,7.6,1.0,2,2,5.0,Intensif
+966,Lumayan,64,6.4,1.5,1,2,4.5,Sedang
+967,Biasa Saja,52,6.4,1.0,1,1,3.0,Ringan
+968,Cukup Jenuh,41,3.8,0.5,0,1,1.5,Ringan
+969,Lumayan,101,7.4,1.5,2,2,5.5,Intensif
+970,Lumayan,115,8.1,1.5,2,2,5.5,Intensif
+971,Biasa Saja,70,6.9,1.0,1,2,4.0,Sedang
+972,Bagus,85,9.0,2.0,2,2,6.0,Intensif
+973,Biasa Saja,34,7.2,1.0,2,1,4.0,Sedang
+974,Biasa Saja,63,6.2,1.0,1,2,4.0,Sedang
+975,Lumayan,92,7.4,1.5,2,2,5.5,Intensif
+976,Biasa Saja,45,6.4,1.0,1,1,3.0,Ringan
+977,Jenuh,39,4.9,0.0,0,1,1.0,Ringan
+978,Biasa Saja,35,6.5,1.0,1,1,3.0,Ringan
+979,Bagus,121,8.0,2.0,2,2,6.0,Intensif
+980,Lumayan,54,7.1,1.5,2,1,4.5,Sedang
+981,Bagus,77,7.3,2.0,2,2,6.0,Intensif
+982,Bagus,104,7.9,2.0,2,2,6.0,Intensif
+983,Biasa Saja,67,8.8,1.0,2,2,5.0,Intensif
+984,Biasa Saja,100,5.0,1.0,1,2,4.0,Sedang
+985,Lumayan,51,6.9,1.5,1,1,3.5,Sedang
+986,Biasa Saja,66,6.7,1.0,1,2,4.0,Sedang
+987,Lumayan,71,5.8,1.5,1,2,4.5,Sedang
+988,Biasa Saja,52,5.3,1.0,1,1,3.0,Ringan
+989,Jenuh,31,4.8,0.0,0,1,1.0,Ringan
+990,Biasa Saja,58,6.3,1.0,1,1,3.0,Ringan
+991,Biasa Saja,45,7.8,1.0,2,1,4.0,Sedang
+992,Biasa Saja,56,6.9,1.0,1,1,3.0,Ringan
+993,Cukup Jenuh,33,5.7,0.5,1,1,2.5,Ringan
+994,Biasa Saja,59,7.0,1.0,1,1,3.0,Ringan
+995,Lumayan,60,6.2,1.5,1,1,3.5,Sedang
+996,Biasa Saja,44,5.5,1.0,1,1,3.0,Ringan
+997,Lumayan,69,5.8,1.5,1,2,4.5,Sedang
+998,Jenuh,20,3.9,0.0,0,0,0.0,Ringan
+999,Biasa Saja,39,4.7,1.0,0,1,2.0,Ringan
+1000,Lumayan,63,5.9,1.5,1,2,4.5,Sedang
+1001,Lumayan,78,5.8,1.5,1,2,4.5,Sedang
+1002,Lumayan,81,5.9,1.5,1,2,4.5,Sedang
+1003,Lumayan,58,6.5,1.5,1,1,3.5,Sedang
+1004,Bagus,100,8.5,2.0,2,2,6.0,Intensif
+1005,Lumayan,128,6.8,1.5,1,2,4.5,Sedang
+1006,Cukup Jenuh,42,4.4,0.5,0,1,1.5,Ringan
+1007,Lumayan,58,6.4,1.5,1,1,3.5,Sedang
+1008,Jenuh,10,4.7,0.0,0,0,0.0,Ringan
+1009,Lumayan,91,9.0,1.5,2,2,5.5,Intensif
+1010,Biasa Saja,67,5.9,1.0,1,2,4.0,Sedang
+1011,Lumayan,91,6.1,1.5,1,2,4.5,Sedang
+1012,Bagus,93,9.0,2.0,2,2,6.0,Intensif
+1013,Bagus,93,8.4,2.0,2,2,6.0,Intensif
+1014,Lumayan,96,6.1,1.5,1,2,4.5,Sedang
+1015,Bagus,89,8.8,2.0,2,2,6.0,Intensif
+1016,Biasa Saja,36,6.9,1.0,1,1,3.0,Ringan
+1017,Bagus,91,9.0,2.0,2,2,6.0,Intensif
+1018,Cukup Jenuh,43,3.4,0.5,0,1,1.5,Ringan
+1019,Lumayan,53,6.8,1.5,1,1,3.5,Sedang
+1020,Lumayan,60,5.1,1.5,1,1,3.5,Sedang
+1021,Cukup Jenuh,43,5.7,0.5,1,1,2.5,Ringan
+1022,Lumayan,83,6.6,1.5,1,2,4.5,Sedang
+1023,Bagus,84,8.3,2.0,2,2,6.0,Intensif
+1024,Cukup Jenuh,26,6.7,0.5,1,0,1.5,Ringan
+1025,Biasa Saja,62,5.7,1.0,1,2,4.0,Sedang
+1026,Cukup Jenuh,28,5.5,0.5,1,0,1.5,Ringan
+1027,Lumayan,57,5.2,1.5,1,1,3.5,Sedang
+1028,Biasa Saja,60,6.9,1.0,1,1,3.0,Ringan
+1029,Biasa Saja,61,5.5,1.0,1,2,4.0,Sedang
+1030,Biasa Saja,51,5.4,1.0,1,1,3.0,Ringan
+1031,Lumayan,61,5.1,1.5,1,2,4.5,Sedang
+1032,Biasa Saja,68,6.4,1.0,1,2,4.0,Sedang
+1033,Biasa Saja,61,5.6,1.0,1,2,4.0,Sedang
+1034,Biasa Saja,33,9.0,1.0,2,1,4.0,Sedang
+1035,Cukup Jenuh,48,5.7,0.5,1,1,2.5,Ringan
+1036,Biasa Saja,38,5.6,1.0,1,1,3.0,Ringan
+1037,Lumayan,79,7.7,1.5,2,2,5.5,Intensif
+1038,Lumayan,75,5.5,1.5,1,2,4.5,Sedang
+1039,Jenuh,42,3.4,0.0,0,1,1.0,Ringan
+1040,Biasa Saja,50,4.2,1.0,0,1,2.0,Ringan
+1041,Biasa Saja,59,5.6,1.0,1,1,3.0,Ringan
+1042,Lumayan,64,5.3,1.5,1,2,4.5,Sedang
+1043,Biasa Saja,73,5.8,1.0,1,2,4.0,Sedang
+1044,Lumayan,66,7.0,1.5,1,2,4.5,Sedang
+1045,Biasa Saja,82,7.5,1.0,2,2,5.0,Intensif
+1046,Lumayan,71,5.5,1.5,1,2,4.5,Sedang
+1047,Biasa Saja,74,6.6,1.0,1,2,4.0,Sedang
+1048,Lumayan,50,5.4,1.5,1,1,3.5,Sedang
+1049,Cukup Jenuh,37,6.6,0.5,1,1,2.5,Ringan
+1050,Lumayan,45,7.5,1.5,2,1,4.5,Sedang
+1051,Biasa Saja,48,7.8,1.0,2,1,4.0,Sedang
+1052,Lumayan,85,7.0,1.5,1,2,4.5,Sedang
+1053,Biasa Saja,77,7.8,1.0,2,2,5.0,Intensif
+1054,Biasa Saja,35,4.9,1.0,0,1,2.0,Ringan
+1055,Cukup Jenuh,31,4.0,0.5,0,1,1.5,Ringan
+1056,Cukup Jenuh,23,5.8,0.5,1,0,1.5,Ringan
+1057,Lumayan,52,7.0,1.5,1,1,3.5,Sedang
+1058,Biasa Saja,62,6.4,1.0,1,2,4.0,Sedang
+1059,Biasa Saja,30,6.2,1.0,1,0,2.0,Ringan
+1060,Lumayan,91,7.7,1.5,2,2,5.5,Intensif
+1061,Biasa Saja,81,5.1,1.0,1,2,4.0,Sedang
+1062,Biasa Saja,63,6.1,1.0,1,2,4.0,Sedang
+1063,Lumayan,62,5.3,1.5,1,2,4.5,Sedang
+1064,Cukup Jenuh,16,5.2,0.5,1,0,1.5,Ringan
+1065,Lumayan,63,7.0,1.5,1,2,4.5,Sedang
+1066,Lumayan,37,6.4,1.5,1,1,3.5,Sedang
+1067,Biasa Saja,84,4.4,1.0,0,2,3.0,Ringan
+1068,Cukup Jenuh,24,6.7,0.5,1,0,1.5,Ringan
+1069,Lumayan,58,8.4,1.5,2,1,4.5,Sedang
+1070,Biasa Saja,67,9.0,1.0,2,2,5.0,Intensif
+1071,Biasa Saja,40,4.0,1.0,0,1,2.0,Ringan
+1072,Bagus,105,7.2,2.0,2,2,6.0,Intensif
+1073,Biasa Saja,91,4.8,1.0,0,2,3.0,Ringan
+1074,Biasa Saja,44,6.7,1.0,1,1,3.0,Ringan
+1075,Biasa Saja,51,6.6,1.0,1,1,3.0,Ringan
+1076,Jenuh,30,3.9,0.0,0,0,0.0,Ringan
+1077,Biasa Saja,42,3.6,1.0,0,1,2.0,Ringan
+1078,Biasa Saja,50,6.7,1.0,1,1,3.0,Ringan
+1079,Bagus,68,7.3,2.0,2,2,6.0,Intensif
+1080,Jenuh,35,3.7,0.0,0,1,1.0,Ringan
+1081,Lumayan,101,6.4,1.5,1,2,4.5,Sedang
+1082,Bagus,84,8.2,2.0,2,2,6.0,Intensif
+1083,Jenuh,10,4.2,0.0,0,0,0.0,Ringan
+1084,Cukup Jenuh,21,5.7,0.5,1,0,1.5,Ringan
+1085,Biasa Saja,72,5.9,1.0,1,2,4.0,Sedang
+1086,Bagus,91,7.1,2.0,2,2,6.0,Intensif
+1087,Biasa Saja,61,6.8,1.0,1,2,4.0,Sedang
+1088,Biasa Saja,47,6.5,1.0,1,1,3.0,Ringan
+1089,Biasa Saja,40,7.2,1.0,2,1,4.0,Sedang
+1090,Bagus,104,9.0,2.0,2,2,6.0,Intensif
+1091,Biasa Saja,51,5.1,1.0,1,1,3.0,Ringan
+1092,Lumayan,84,6.8,1.5,1,2,4.5,Sedang
+1093,Bagus,54,7.6,2.0,2,1,5.0,Intensif
+1094,Lumayan,83,7.1,1.5,2,2,5.5,Intensif
+1095,Biasa Saja,44,4.4,1.0,0,1,2.0,Ringan
+1096,Cukup Jenuh,17,4.9,0.5,0,0,0.5,Ringan
+1097,Lumayan,79,5.7,1.5,1,2,4.5,Sedang
+1098,Cukup Jenuh,31,5.9,0.5,1,1,2.5,Ringan
+1099,Lumayan,64,6.4,1.5,1,2,4.5,Sedang
+1100,Lumayan,95,6.7,1.5,1,2,4.5,Sedang
+1101,Biasa Saja,55,9.0,1.0,2,1,4.0,Sedang
+1102,Biasa Saja,51,7.0,1.0,1,1,3.0,Ringan
+1103,Biasa Saja,65,6.8,1.0,1,2,4.0,Sedang
+1104,Lumayan,63,8.7,1.5,2,2,5.5,Intensif
+1105,Biasa Saja,82,5.4,1.0,1,2,4.0,Sedang
+1106,Cukup Jenuh,37,6.1,0.5,1,1,2.5,Ringan
+1107,Bagus,97,8.3,2.0,2,2,6.0,Intensif
+1108,Bagus,90,7.6,2.0,2,2,6.0,Intensif
+1109,Biasa Saja,73,6.4,1.0,1,2,4.0,Sedang
+1110,Bagus,59,7.5,2.0,2,1,5.0,Intensif
+1111,Biasa Saja,61,6.4,1.0,1,2,4.0,Sedang
+1112,Biasa Saja,37,8.5,1.0,2,1,4.0,Sedang
+1113,Biasa Saja,63,6.3,1.0,1,2,4.0,Sedang
+1114,Biasa Saja,49,6.6,1.0,1,1,3.0,Ringan
+1115,Cukup Jenuh,38,5.4,0.5,1,1,2.5,Ringan
+1116,Bagus,71,7.2,2.0,2,2,6.0,Intensif
+1117,Bagus,57,7.2,2.0,2,1,5.0,Intensif
+1118,Biasa Saja,49,6.0,1.0,1,1,3.0,Ringan
+1119,Bagus,100,7.1,2.0,2,2,6.0,Intensif
+1120,Lumayan,70,5.2,1.5,1,2,4.5,Sedang
+1121,Bagus,128,8.1,2.0,2,2,6.0,Intensif
+1122,Cukup Jenuh,29,5.9,0.5,1,0,1.5,Ringan
+1123,Lumayan,89,6.3,1.5,1,2,4.5,Sedang
+1124,Lumayan,64,6.6,1.5,1,2,4.5,Sedang
+1125,Lumayan,66,6.6,1.5,1,2,4.5,Sedang
+1126,Lumayan,95,5.5,1.5,1,2,4.5,Sedang
+1127,Jenuh,39,3.9,0.0,0,1,1.0,Ringan
+1128,Jenuh,28,3.9,0.0,0,0,0.0,Ringan
+1129,Bagus,89,7.2,2.0,2,2,6.0,Intensif
+1130,Biasa Saja,56,5.6,1.0,1,1,3.0,Ringan
+1131,Bagus,104,7.1,2.0,2,2,6.0,Intensif
+1132,Biasa Saja,46,7.5,1.0,2,1,4.0,Sedang
+1133,Lumayan,57,6.3,1.5,1,1,3.5,Sedang
+1134,Bagus,79,7.5,2.0,2,2,6.0,Intensif
+1135,Cukup Jenuh,31,3.0,0.5,0,1,1.5,Ringan
+1136,Bagus,47,7.5,2.0,2,1,5.0,Intensif
+1137,Lumayan,81,8.5,1.5,2,2,5.5,Intensif
+1138,Lumayan,71,6.2,1.5,1,2,4.5,Sedang
+1139,Cukup Jenuh,17,4.8,0.5,0,0,0.5,Ringan
+1140,Bagus,77,8.9,2.0,2,2,6.0,Intensif
+1141,Jenuh,32,4.5,0.0,0,1,1.0,Ringan
+1142,Lumayan,87,6.0,1.5,1,2,4.5,Sedang
+1143,Cukup Jenuh,29,4.3,0.5,0,0,0.5,Ringan
+1144,Biasa Saja,69,7.3,1.0,2,2,5.0,Intensif
+1145,Jenuh,21,4.8,0.0,0,0,0.0,Ringan
+1146,Bagus,72,8.6,2.0,2,2,6.0,Intensif
+1147,Biasa Saja,82,7.8,1.0,2,2,5.0,Intensif
+1148,Biasa Saja,27,6.1,1.0,1,0,2.0,Ringan
+1149,Cukup Jenuh,16,4.2,0.5,0,0,0.5,Ringan
+1150,Bagus,99,8.2,2.0,2,2,6.0,Intensif
+1151,Cukup Jenuh,39,6.8,0.5,1,1,2.5,Ringan
+1152,Bagus,100,8.7,2.0,2,2,6.0,Intensif
+1153,Biasa Saja,44,5.1,1.0,1,1,3.0,Ringan
+1154,Bagus,87,7.4,2.0,2,2,6.0,Intensif
+1155,Bagus,104,7.9,2.0,2,2,6.0,Intensif
+1156,Lumayan,108,7.9,1.5,2,2,5.5,Intensif
+1157,Bagus,130,7.6,2.0,2,2,6.0,Intensif
+1158,Bagus,79,7.9,2.0,2,2,6.0,Intensif
+1159,Cukup Jenuh,42,4.9,0.5,0,1,1.5,Ringan
+1160,Lumayan,89,5.3,1.5,1,2,4.5,Sedang
+1161,Cukup Jenuh,25,6.9,0.5,1,0,1.5,Ringan
+1162,Cukup Jenuh,13,6.1,0.5,1,0,1.5,Ringan
+1163,Lumayan,34,5.9,1.5,1,1,3.5,Sedang
+1164,Lumayan,68,6.2,1.5,1,2,4.5,Sedang
+1165,Cukup Jenuh,54,4.9,0.5,0,1,1.5,Ringan
+1166,Biasa Saja,41,5.7,1.0,1,1,3.0,Ringan
+1167,Biasa Saja,69,6.8,1.0,1,2,4.0,Sedang
+1168,Lumayan,75,5.3,1.5,1,2,4.5,Sedang
+1169,Jenuh,35,4.0,0.0,0,1,1.0,Ringan
+1170,Jenuh,22,4.9,0.0,0,0,0.0,Ringan
+1171,Biasa Saja,27,6.8,1.0,1,0,2.0,Ringan
+1172,Biasa Saja,57,6.7,1.0,1,1,3.0,Ringan
+1173,Bagus,97,7.1,2.0,2,2,6.0,Intensif
+1174,Lumayan,52,7.5,1.5,2,1,4.5,Sedang
+1175,Biasa Saja,55,6.1,1.0,1,1,3.0,Ringan
+1176,Lumayan,50,8.2,1.5,2,1,4.5,Sedang
+1177,Lumayan,67,5.2,1.5,1,2,4.5,Sedang
+1178,Biasa Saja,59,5.4,1.0,1,1,3.0,Ringan
+1179,Bagus,109,7.8,2.0,2,2,6.0,Intensif
+1180,Biasa Saja,43,4.6,1.0,0,1,2.0,Ringan
+1181,Biasa Saja,57,8.3,1.0,2,1,4.0,Sedang
+1182,Bagus,150,7.4,2.0,2,2,6.0,Intensif
+1183,Cukup Jenuh,43,3.3,0.5,0,1,1.5,Ringan
+1184,Biasa Saja,46,4.4,1.0,0,1,2.0,Ringan
+1185,Lumayan,69,5.6,1.5,1,2,4.5,Sedang
+1186,Biasa Saja,59,6.5,1.0,1,1,3.0,Ringan
+1187,Bagus,101,8.4,2.0,2,2,6.0,Intensif
+1188,Biasa Saja,30,5.3,1.0,1,0,2.0,Ringan
+1189,Biasa Saja,72,4.8,1.0,0,2,3.0,Ringan
+1190,Biasa Saja,59,5.1,1.0,1,1,3.0,Ringan
+1191,Lumayan,96,8.2,1.5,2,2,5.5,Intensif
+1192,Biasa Saja,71,6.5,1.0,1,2,4.0,Sedang
+1193,Biasa Saja,61,4.7,1.0,0,2,3.0,Ringan
+1194,Biasa Saja,28,5.8,1.0,1,0,2.0,Ringan
+1195,Lumayan,83,6.0,1.5,1,2,4.5,Sedang
+1196,Lumayan,62,9.0,1.5,2,2,5.5,Intensif
+1197,Biasa Saja,41,6.8,1.0,1,1,3.0,Ringan
+1198,Biasa Saja,35,7.5,1.0,2,1,4.0,Sedang
+1199,Biasa Saja,46,6.5,1.0,1,1,3.0,Ringan
+1200,Biasa Saja,38,5.2,1.0,1,1,3.0,Ringan
+1201,Bagus,106,8.9,2.0,2,2,6.0,Intensif
+1202,Lumayan,118,5.7,1.5,1,2,4.5,Sedang
+1203,Bagus,130,7.3,2.0,2,2,6.0,Intensif
+1204,Biasa Saja,52,5.9,1.0,1,1,3.0,Ringan
+1205,Cukup Jenuh,47,5.0,0.5,1,1,2.5,Ringan
+1206,Bagus,83,8.6,2.0,2,2,6.0,Intensif
+1207,Bagus,92,7.5,2.0,2,2,6.0,Intensif
+1208,Cukup Jenuh,25,6.8,0.5,1,0,1.5,Ringan
+1209,Lumayan,71,5.6,1.5,1,2,4.5,Sedang
+1210,Cukup Jenuh,35,4.6,0.5,0,1,1.5,Ringan
+1211,Biasa Saja,29,4.8,1.0,0,0,1.0,Ringan
+1212,Lumayan,94,6.2,1.5,1,2,4.5,Sedang
+1213,Biasa Saja,84,5.4,1.0,1,2,4.0,Sedang
+1214,Cukup Jenuh,40,6.8,0.5,1,1,2.5,Ringan
+1215,Biasa Saja,37,6.4,1.0,1,1,3.0,Ringan
+1216,Cukup Jenuh,49,3.8,0.5,0,1,1.5,Ringan
+1217,Lumayan,55,6.1,1.5,1,1,3.5,Sedang
+1218,Lumayan,88,5.2,1.5,1,2,4.5,Sedang
+1219,Biasa Saja,72,9.0,1.0,2,2,5.0,Intensif
+1220,Jenuh,34,3.7,0.0,0,1,1.0,Ringan
+1221,Biasa Saja,56,5.3,1.0,1,1,3.0,Ringan
+1222,Lumayan,91,6.2,1.5,1,2,4.5,Sedang
+1223,Biasa Saja,53,6.4,1.0,1,1,3.0,Ringan
+1224,Cukup Jenuh,36,5.4,0.5,1,1,2.5,Ringan
+1225,Biasa Saja,77,7.3,1.0,2,2,5.0,Intensif
+1226,Biasa Saja,42,6.4,1.0,1,1,3.0,Ringan
+1227,Bagus,106,7.2,2.0,2,2,6.0,Intensif
+1228,Bagus,78,7.3,2.0,2,2,6.0,Intensif
+1229,Lumayan,24,7.2,1.5,2,0,3.5,Sedang
+1230,Biasa Saja,62,6.8,1.0,1,2,4.0,Sedang
+1231,Biasa Saja,48,5.5,1.0,1,1,3.0,Ringan
+1232,Biasa Saja,77,4.6,1.0,0,2,3.0,Ringan
+1233,Bagus,99,7.8,2.0,2,2,6.0,Intensif
+1234,Lumayan,46,6.1,1.5,1,1,3.5,Sedang
+1235,Lumayan,83,7.1,1.5,2,2,5.5,Intensif
+1236,Lumayan,63,8.2,1.5,2,2,5.5,Intensif
+1237,Lumayan,97,7.2,1.5,2,2,5.5,Intensif
+1238,Jenuh,42,4.2,0.0,0,1,1.0,Ringan
+1239,Bagus,112,9.0,2.0,2,2,6.0,Intensif
+1240,Bagus,133,8.2,2.0,2,2,6.0,Intensif
+1241,Biasa Saja,45,6.7,1.0,1,1,3.0,Ringan
+1242,Cukup Jenuh,36,4.2,0.5,0,1,1.5,Ringan
+1243,Lumayan,58,6.3,1.5,1,1,3.5,Sedang
+1244,Lumayan,64,5.7,1.5,1,2,4.5,Sedang
+1245,Biasa Saja,46,6.3,1.0,1,1,3.0,Ringan
+1246,Jenuh,21,3.0,0.0,0,0,0.0,Ringan
+1247,Lumayan,51,6.5,1.5,1,1,3.5,Sedang
+1248,Biasa Saja,43,6.7,1.0,1,1,3.0,Ringan
+1249,Cukup Jenuh,45,6.7,0.5,1,1,2.5,Ringan
+1250,Bagus,106,9.0,2.0,2,2,6.0,Intensif
+1251,Lumayan,70,5.8,1.5,1,2,4.5,Sedang
+1252,Cukup Jenuh,36,4.0,0.5,0,1,1.5,Ringan
+1253,Bagus,52,8.0,2.0,2,1,5.0,Intensif
+1254,Cukup Jenuh,52,4.8,0.5,0,1,1.5,Ringan
+1255,Lumayan,73,6.0,1.5,1,2,4.5,Sedang
+1256,Biasa Saja,62,6.7,1.0,1,2,4.0,Sedang
+1257,Lumayan,43,5.1,1.5,1,1,3.5,Sedang
+1258,Lumayan,95,7.4,1.5,2,2,5.5,Intensif
+1259,Bagus,94,7.7,2.0,2,2,6.0,Intensif
+1260,Biasa Saja,35,5.2,1.0,1,1,3.0,Ringan
+1261,Lumayan,76,6.6,1.5,1,2,4.5,Sedang
+1262,Jenuh,10,4.2,0.0,0,0,0.0,Ringan
+1263,Bagus,84,7.3,2.0,2,2,6.0,Intensif
+1264,Biasa Saja,78,5.7,1.0,1,2,4.0,Sedang
+1265,Biasa Saja,62,7.2,1.0,2,2,5.0,Intensif
+1266,Lumayan,67,6.7,1.5,1,2,4.5,Sedang
+1267,Bagus,50,8.4,2.0,2,1,5.0,Intensif
+1268,Lumayan,75,6.7,1.5,1,2,4.5,Sedang
+1269,Lumayan,107,5.1,1.5,1,2,4.5,Sedang
+1270,Bagus,71,8.6,2.0,2,2,6.0,Intensif
+1271,Cukup Jenuh,24,3.8,0.5,0,0,0.5,Ringan
+1272,Cukup Jenuh,37,4.7,0.5,0,1,1.5,Ringan
+1273,Bagus,126,9.0,2.0,2,2,6.0,Intensif
+1274,Lumayan,62,8.3,1.5,2,2,5.5,Intensif
+1275,Lumayan,53,7.8,1.5,2,1,4.5,Sedang
+1276,Lumayan,91,7.5,1.5,2,2,5.5,Intensif
+1277,Biasa Saja,54,4.8,1.0,0,1,2.0,Ringan
+1278,Lumayan,45,9.0,1.5,2,1,4.5,Sedang
+1279,Jenuh,24,3.7,0.0,0,0,0.0,Ringan
+1280,Cukup Jenuh,31,6.6,0.5,1,1,2.5,Ringan
+1281,Lumayan,49,6.3,1.5,1,1,3.5,Sedang
+1282,Bagus,137,7.8,2.0,2,2,6.0,Intensif
+1283,Bagus,96,7.9,2.0,2,2,6.0,Intensif
+1284,Lumayan,78,7.9,1.5,2,2,5.5,Intensif
+1285,Biasa Saja,74,6.1,1.0,1,2,4.0,Sedang
+1286,Lumayan,91,6.7,1.5,1,2,4.5,Sedang
+1287,Lumayan,62,5.3,1.5,1,2,4.5,Sedang
+1288,Lumayan,38,7.3,1.5,2,1,4.5,Sedang
+1289,Bagus,70,9.0,2.0,2,2,6.0,Intensif
+1290,Biasa Saja,56,4.3,1.0,0,1,2.0,Ringan
+1291,Bagus,87,8.4,2.0,2,2,6.0,Intensif
+1292,Lumayan,98,8.5,1.5,2,2,5.5,Intensif
+1293,Lumayan,45,9.0,1.5,2,1,4.5,Sedang
+1294,Biasa Saja,57,7.2,1.0,2,1,4.0,Sedang
+1295,Cukup Jenuh,45,5.0,0.5,1,1,2.5,Ringan
+1296,Lumayan,84,6.1,1.5,1,2,4.5,Sedang
+1297,Bagus,95,9.0,2.0,2,2,6.0,Intensif
+1298,Bagus,110,7.7,2.0,2,2,6.0,Intensif
+1299,Jenuh,20,4.5,0.0,0,0,0.0,Ringan
+1300,Bagus,98,7.3,2.0,2,2,6.0,Intensif
+1301,Lumayan,89,7.5,1.5,2,2,5.5,Intensif
+1302,Lumayan,83,6.4,1.5,1,2,4.5,Sedang
+1303,Lumayan,92,8.3,1.5,2,2,5.5,Intensif
+1304,Lumayan,45,6.5,1.5,1,1,3.5,Sedang
+1305,Lumayan,56,9.0,1.5,2,1,4.5,Sedang
+1306,Lumayan,46,5.7,1.5,1,1,3.5,Sedang
+1307,Biasa Saja,45,7.4,1.0,2,1,4.0,Sedang
+1308,Biasa Saja,44,8.5,1.0,2,1,4.0,Sedang
+1309,Cukup Jenuh,38,6.0,0.5,1,1,2.5,Ringan
+1310,Biasa Saja,37,4.2,1.0,0,1,2.0,Ringan
+1311,Lumayan,74,5.0,1.5,1,2,4.5,Sedang
+1312,Biasa Saja,46,8.0,1.0,2,1,4.0,Sedang
+1313,Biasa Saja,48,7.7,1.0,2,1,4.0,Sedang
+1314,Biasa Saja,61,5.7,1.0,1,2,4.0,Sedang
+1315,Lumayan,82,6.7,1.5,1,2,4.5,Sedang
+1316,Lumayan,75,9.0,1.5,2,2,5.5,Intensif
+1317,Cukup Jenuh,27,6.0,0.5,1,0,1.5,Ringan
+1318,Biasa Saja,60,6.3,1.0,1,1,3.0,Ringan
+1319,Biasa Saja,63,7.6,1.0,2,2,5.0,Intensif
+1320,Bagus,86,7.7,2.0,2,2,6.0,Intensif
+1321,Lumayan,92,8.0,1.5,2,2,5.5,Intensif
+1322,Bagus,87,7.3,2.0,2,2,6.0,Intensif
+1323,Biasa Saja,52,6.6,1.0,1,1,3.0,Ringan
+1324,Lumayan,95,6.0,1.5,1,2,4.5,Sedang
+1325,Lumayan,99,6.8,1.5,1,2,4.5,Sedang
+1326,Biasa Saja,82,6.6,1.0,1,2,4.0,Sedang
+1327,Biasa Saja,52,8.4,1.0,2,1,4.0,Sedang
+1328,Cukup Jenuh,38,5.6,0.5,1,1,2.5,Ringan
+1329,Bagus,116,8.3,2.0,2,2,6.0,Intensif
+1330,Bagus,107,7.0,2.0,1,2,5.0,Intensif
+1331,Bagus,90,7.9,2.0,2,2,6.0,Intensif
+1332,Biasa Saja,57,6.6,1.0,1,1,3.0,Ringan
+1333,Cukup Jenuh,26,5.1,0.5,1,0,1.5,Ringan
+1334,Bagus,80,8.0,2.0,2,2,6.0,Intensif
+1335,Bagus,95,7.1,2.0,2,2,6.0,Intensif
+1336,Cukup Jenuh,22,4.4,0.5,0,0,0.5,Ringan
+1337,Lumayan,71,8.0,1.5,2,2,5.5,Intensif
+1338,Jenuh,25,4.8,0.0,0,0,0.0,Ringan
+1339,Biasa Saja,53,6.2,1.0,1,1,3.0,Ringan
+1340,Cukup Jenuh,52,4.2,0.5,0,1,1.5,Ringan
+1341,Cukup Jenuh,40,5.6,0.5,1,1,2.5,Ringan
+1342,Biasa Saja,82,5.0,1.0,1,2,4.0,Sedang
+1343,Lumayan,58,7.8,1.5,2,1,4.5,Sedang
+1344,Biasa Saja,29,7.8,1.0,2,0,3.0,Ringan
+1345,Bagus,92,7.7,2.0,2,2,6.0,Intensif
+1346,Biasa Saja,48,4.4,1.0,0,1,2.0,Ringan
+1347,Lumayan,85,5.4,1.5,1,2,4.5,Sedang
+1348,Cukup Jenuh,32,6.7,0.5,1,1,2.5,Ringan
+1349,Biasa Saja,52,5.0,1.0,1,1,3.0,Ringan
+1350,Cukup Jenuh,20,4.6,0.5,0,0,0.5,Ringan
+1351,Lumayan,81,5.6,1.5,1,2,4.5,Sedang
+1352,Cukup Jenuh,30,6.3,0.5,1,0,1.5,Ringan
+1353,Biasa Saja,25,5.5,1.0,1,0,2.0,Ringan
+1354,Biasa Saja,55,8.2,1.0,2,1,4.0,Sedang
+1355,Biasa Saja,54,6.9,1.0,1,1,3.0,Ringan
+1356,Cukup Jenuh,18,6.9,0.5,1,0,1.5,Ringan
+1357,Lumayan,101,5.0,1.5,1,2,4.5,Sedang
+1358,Jenuh,19,4.4,0.0,0,0,0.0,Ringan
+1359,Bagus,85,8.0,2.0,2,2,6.0,Intensif
+1360,Biasa Saja,43,4.9,1.0,0,1,2.0,Ringan
+1361,Cukup Jenuh,39,3.8,0.5,0,1,1.5,Ringan
+1362,Biasa Saja,50,7.9,1.0,2,1,4.0,Sedang
+1363,Biasa Saja,53,3.4,1.0,0,1,2.0,Ringan
+1364,Cukup Jenuh,24,4.9,0.5,0,0,0.5,Ringan
+1365,Bagus,83,7.2,2.0,2,2,6.0,Intensif
+1366,Lumayan,81,5.2,1.5,1,2,4.5,Sedang
+1367,Lumayan,101,6.8,1.5,1,2,4.5,Sedang
+1368,Cukup Jenuh,37,6.2,0.5,1,1,2.5,Ringan
+1369,Biasa Saja,50,6.5,1.0,1,1,3.0,Ringan
+1370,Lumayan,57,5.5,1.5,1,1,3.5,Sedang
+1371,Cukup Jenuh,18,4.4,0.5,0,0,0.5,Ringan
+1372,Bagus,77,7.2,2.0,2,2,6.0,Intensif
+1373,Biasa Saja,25,6.6,1.0,1,0,2.0,Ringan
+1374,Bagus,121,7.7,2.0,2,2,6.0,Intensif
+1375,Lumayan,76,5.2,1.5,1,2,4.5,Sedang
+1376,Lumayan,73,5.7,1.5,1,2,4.5,Sedang
+1377,Lumayan,72,5.9,1.5,1,2,4.5,Sedang
+1378,Bagus,92,7.3,2.0,2,2,6.0,Intensif
+1379,Cukup Jenuh,37,5.9,0.5,1,1,2.5,Ringan
+1380,Bagus,83,8.5,2.0,2,2,6.0,Intensif
+1381,Biasa Saja,62,4.7,1.0,0,2,3.0,Ringan
+1382,Cukup Jenuh,43,6.9,0.5,1,1,2.5,Ringan
+1383,Lumayan,64,6.2,1.5,1,2,4.5,Sedang
+1384,Biasa Saja,74,4.4,1.0,0,2,3.0,Ringan
+1385,Bagus,102,8.4,2.0,2,2,6.0,Intensif
+1386,Lumayan,68,6.1,1.5,1,2,4.5,Sedang
+1387,Lumayan,47,8.0,1.5,2,1,4.5,Sedang
+1388,Cukup Jenuh,49,5.0,0.5,1,1,2.5,Ringan
+1389,Cukup Jenuh,20,6.3,0.5,1,0,1.5,Ringan
+1390,Biasa Saja,67,6.0,1.0,1,2,4.0,Sedang
+1391,Biasa Saja,52,6.0,1.0,1,1,3.0,Ringan
+1392,Lumayan,47,5.6,1.5,1,1,3.5,Sedang
+1393,Lumayan,59,5.8,1.5,1,1,3.5,Sedang
+1394,Cukup Jenuh,34,4.9,0.5,0,1,1.5,Ringan
+1395,Cukup Jenuh,51,7.0,0.5,1,1,2.5,Ringan
+1396,Bagus,143,8.8,2.0,2,2,6.0,Intensif
+1397,Jenuh,10,4.9,0.0,0,0,0.0,Ringan
+1398,Lumayan,72,7.1,1.5,2,2,5.5,Intensif
+1399,Bagus,99,7.9,2.0,2,2,6.0,Intensif
+1400,Lumayan,41,6.1,1.5,1,1,3.5,Sedang
+1401,Biasa Saja,57,7.0,1.0,1,1,3.0,Ringan
+1402,Biasa Saja,53,6.9,1.0,1,1,3.0,Ringan
+1403,Jenuh,23,3.2,0.0,0,0,0.0,Ringan
+1404,Biasa Saja,60,8.8,1.0,2,1,4.0,Sedang
+1405,Cukup Jenuh,15,5.3,0.5,1,0,1.5,Ringan
+1406,Biasa Saja,46,8.3,1.0,2,1,4.0,Sedang
+1407,Biasa Saja,65,8.6,1.0,2,2,5.0,Intensif
+1408,Lumayan,96,6.0,1.5,1,2,4.5,Sedang
+1409,Bagus,76,9.0,2.0,2,2,6.0,Intensif
+1410,Biasa Saja,74,5.4,1.0,1,2,4.0,Sedang
+1411,Lumayan,60,7.4,1.5,2,1,4.5,Sedang
+1412,Biasa Saja,41,5.5,1.0,1,1,3.0,Ringan
+1413,Jenuh,24,4.3,0.0,0,0,0.0,Ringan
+1414,Cukup Jenuh,10,5.2,0.5,1,0,1.5,Ringan
+1415,Bagus,99,9.0,2.0,2,2,6.0,Intensif
+1416,Biasa Saja,52,4.9,1.0,0,1,2.0,Ringan
+1417,Lumayan,84,7.9,1.5,2,2,5.5,Intensif
+1418,Lumayan,60,7.2,1.5,2,1,4.5,Sedang
+1419,Biasa Saja,66,7.8,1.0,2,2,5.0,Intensif
+1420,Cukup Jenuh,43,3.7,0.5,0,1,1.5,Ringan
+1421,Cukup Jenuh,27,6.0,0.5,1,0,1.5,Ringan
+1422,Cukup Jenuh,50,4.0,0.5,0,1,1.5,Ringan
+1423,Cukup Jenuh,44,5.9,0.5,1,1,2.5,Ringan
+1424,Cukup Jenuh,33,6.6,0.5,1,1,2.5,Ringan
+1425,Lumayan,49,6.1,1.5,1,1,3.5,Sedang
+1426,Biasa Saja,82,7.0,1.0,1,2,4.0,Sedang
+1427,Lumayan,62,5.6,1.5,1,2,4.5,Sedang
+1428,Biasa Saja,26,7.4,1.0,2,0,3.0,Ringan
+1429,Cukup Jenuh,53,5.4,0.5,1,1,2.5,Ringan
+1430,Biasa Saja,57,7.0,1.0,1,1,3.0,Ringan
+1431,Lumayan,82,5.6,1.5,1,2,4.5,Sedang
+1432,Lumayan,100,9.0,1.5,2,2,5.5,Intensif
+1433,Biasa Saja,38,5.9,1.0,1,1,3.0,Ringan
+1434,Biasa Saja,56,6.6,1.0,1,1,3.0,Ringan
+1435,Lumayan,54,7.4,1.5,2,1,4.5,Sedang
+1436,Biasa Saja,92,6.1,1.0,1,2,4.0,Sedang
+1437,Lumayan,33,6.9,1.5,1,1,3.5,Sedang
+1438,Lumayan,85,5.7,1.5,1,2,4.5,Sedang
+1439,Bagus,79,9.0,2.0,2,2,6.0,Intensif
+1440,Bagus,60,7.2,2.0,2,1,5.0,Intensif
+1441,Jenuh,25,3.4,0.0,0,0,0.0,Ringan
+1442,Lumayan,64,6.5,1.5,1,2,4.5,Sedang
+1443,Bagus,102,9.0,2.0,2,2,6.0,Intensif
+1444,Bagus,102,9.0,2.0,2,2,6.0,Intensif
+1445,Biasa Saja,45,3.0,1.0,0,1,2.0,Ringan
+1446,Biasa Saja,45,5.4,1.0,1,1,3.0,Ringan
+1447,Lumayan,78,5.0,1.5,1,2,4.5,Sedang
+1448,Bagus,90,8.3,2.0,2,2,6.0,Intensif
+1449,Biasa Saja,53,5.7,1.0,1,1,3.0,Ringan
+1450,Bagus,131,9.0,2.0,2,2,6.0,Intensif
+1451,Lumayan,68,5.5,1.5,1,2,4.5,Sedang
+1452,Cukup Jenuh,31,6.8,0.5,1,1,2.5,Ringan
+1453,Bagus,111,8.9,2.0,2,2,6.0,Intensif
+1454,Biasa Saja,87,5.4,1.0,1,2,4.0,Sedang
+1455,Lumayan,94,5.3,1.5,1,2,4.5,Sedang
+1456,Lumayan,74,7.8,1.5,2,2,5.5,Intensif
+1457,Cukup Jenuh,37,4.1,0.5,0,1,1.5,Ringan
+1458,Biasa Saja,72,6.8,1.0,1,2,4.0,Sedang
+1459,Biasa Saja,60,6.3,1.0,1,1,3.0,Ringan
+1460,Cukup Jenuh,29,6.9,0.5,1,0,1.5,Ringan
+1461,Cukup Jenuh,37,5.0,0.5,1,1,2.5,Ringan
+1462,Cukup Jenuh,49,5.7,0.5,1,1,2.5,Ringan
+1463,Lumayan,80,7.6,1.5,2,2,5.5,Intensif
+1464,Lumayan,59,5.9,1.5,1,1,3.5,Sedang
+1465,Biasa Saja,59,6.8,1.0,1,1,3.0,Ringan
+1466,Biasa Saja,46,5.1,1.0,1,1,3.0,Ringan
+1467,Cukup Jenuh,33,4.2,0.5,0,1,1.5,Ringan
+1468,Biasa Saja,51,6.4,1.0,1,1,3.0,Ringan
+1469,Lumayan,68,5.9,1.5,1,2,4.5,Sedang
+1470,Biasa Saja,77,5.9,1.0,1,2,4.0,Sedang
+1471,Biasa Saja,51,8.5,1.0,2,1,4.0,Sedang
+1472,Cukup Jenuh,26,6.6,0.5,1,0,1.5,Ringan
+1473,Bagus,87,8.2,2.0,2,2,6.0,Intensif
+1474,Lumayan,83,6.8,1.5,1,2,4.5,Sedang
+1475,Lumayan,79,6.3,1.5,1,2,4.5,Sedang
+1476,Biasa Saja,66,8.0,1.0,2,2,5.0,Intensif
+1477,Lumayan,63,7.4,1.5,2,2,5.5,Intensif
+1478,Lumayan,62,6.3,1.5,1,2,4.5,Sedang
+1479,Biasa Saja,68,8.5,1.0,2,2,5.0,Intensif
+1480,Bagus,85,8.3,2.0,2,2,6.0,Intensif
+1481,Cukup Jenuh,37,6.2,0.5,1,1,2.5,Ringan
+1482,Biasa Saja,38,5.5,1.0,1,1,3.0,Ringan
+1483,Bagus,64,8.8,2.0,2,2,6.0,Intensif
+1484,Lumayan,89,5.2,1.5,1,2,4.5,Sedang
+1485,Lumayan,37,6.1,1.5,1,1,3.5,Sedang
+1486,Biasa Saja,29,4.8,1.0,0,0,1.0,Ringan
+1487,Bagus,99,7.9,2.0,2,2,6.0,Intensif
+1488,Bagus,115,9.0,2.0,2,2,6.0,Intensif
+1489,Biasa Saja,79,5.4,1.0,1,2,4.0,Sedang
+1490,Lumayan,76,6.1,1.5,1,2,4.5,Sedang
+1491,Biasa Saja,60,6.4,1.0,1,1,3.0,Ringan
+1492,Biasa Saja,62,6.9,1.0,1,2,4.0,Sedang
+1493,Bagus,101,7.1,2.0,2,2,6.0,Intensif
+1494,Jenuh,19,3.0,0.0,0,0,0.0,Ringan
+1495,Cukup Jenuh,37,5.7,0.5,1,1,2.5,Ringan
+1496,Biasa Saja,54,5.4,1.0,1,1,3.0,Ringan
+1497,Bagus,90,8.0,2.0,2,2,6.0,Intensif
+1498,Lumayan,100,6.8,1.5,1,2,4.5,Sedang
+1499,Lumayan,84,6.5,1.5,1,2,4.5,Sedang
+1500,Bagus,93,8.2,2.0,2,2,6.0,Intensif
+1501,Lumayan,70,6.1,1.5,1,2,4.5,Sedang
+1502,Lumayan,105,6.3,1.5,1,2,4.5,Sedang
+1503,Cukup Jenuh,25,5.8,0.5,1,0,1.5,Ringan
+1504,Jenuh,24,4.5,0.0,0,0,0.0,Ringan
+1505,Biasa Saja,49,9.0,1.0,2,1,4.0,Sedang
+1506,Lumayan,94,5.0,1.5,1,2,4.5,Sedang
+1507,Biasa Saja,60,5.8,1.0,1,1,3.0,Ringan
+1508,Biasa Saja,84,4.5,1.0,0,2,3.0,Ringan
+1509,Bagus,100,7.1,2.0,2,2,6.0,Intensif
+1510,Cukup Jenuh,61,3.9,0.5,0,2,2.5,Ringan
+1511,Biasa Saja,31,8.1,1.0,2,1,4.0,Sedang
+1512,Biasa Saja,63,6.5,1.0,1,2,4.0,Sedang
+1513,Lumayan,53,6.9,1.5,1,1,3.5,Sedang
+1514,Cukup Jenuh,19,5.5,0.5,1,0,1.5,Ringan
+1515,Lumayan,62,6.7,1.5,1,2,4.5,Sedang
+1516,Biasa Saja,37,6.2,1.0,1,1,3.0,Ringan
+1517,Lumayan,52,5.2,1.5,1,1,3.5,Sedang
+1518,Biasa Saja,61,6.3,1.0,1,2,4.0,Sedang
+1519,Lumayan,86,6.6,1.5,1,2,4.5,Sedang
+1520,Biasa Saja,30,6.0,1.0,1,0,2.0,Ringan
+1521,Biasa Saja,27,7.0,1.0,1,0,2.0,Ringan
+1522,Jenuh,21,4.7,0.0,0,0,0.0,Ringan
+1523,Biasa Saja,72,6.5,1.0,1,2,4.0,Sedang
+1524,Biasa Saja,32,6.9,1.0,1,1,3.0,Ringan
+1525,Biasa Saja,55,6.9,1.0,1,1,3.0,Ringan
+1526,Bagus,82,8.4,2.0,2,2,6.0,Intensif
+1527,Cukup Jenuh,23,4.2,0.5,0,0,0.5,Ringan
+1528,Biasa Saja,77,6.4,1.0,1,2,4.0,Sedang
+1529,Jenuh,33,3.7,0.0,0,1,1.0,Ringan
+1530,Biasa Saja,44,5.4,1.0,1,1,3.0,Ringan
+1531,Biasa Saja,87,6.7,1.0,1,2,4.0,Sedang
+1532,Cukup Jenuh,39,6.6,0.5,1,1,2.5,Ringan
+1533,Cukup Jenuh,24,6.8,0.5,1,0,1.5,Ringan
+1534,Bagus,107,8.9,2.0,2,2,6.0,Intensif
+1535,Lumayan,57,6.4,1.5,1,1,3.5,Sedang
+1536,Cukup Jenuh,40,5.9,0.5,1,1,2.5,Ringan
+1537,Biasa Saja,50,7.6,1.0,2,1,4.0,Sedang
+1538,Cukup Jenuh,29,3.7,0.5,0,0,0.5,Ringan
+1539,Jenuh,34,4.8,0.0,0,1,1.0,Ringan
+1540,Cukup Jenuh,22,4.1,0.5,0,0,0.5,Ringan
+1541,Biasa Saja,53,3.5,1.0,0,1,2.0,Ringan
+1542,Cukup Jenuh,13,4.5,0.5,0,0,0.5,Ringan
+1543,Lumayan,94,8.2,1.5,2,2,5.5,Intensif
+1544,Lumayan,62,6.9,1.5,1,2,4.5,Sedang
+1545,Bagus,107,8.8,2.0,2,2,6.0,Intensif
+1546,Lumayan,99,6.3,1.5,1,2,4.5,Sedang
+1547,Lumayan,44,8.3,1.5,2,1,4.5,Sedang
+1548,Lumayan,61,5.9,1.5,1,2,4.5,Sedang
+1549,Biasa Saja,34,5.9,1.0,1,1,3.0,Ringan
+1550,Lumayan,50,5.6,1.5,1,1,3.5,Sedang
+1551,Lumayan,89,5.6,1.5,1,2,4.5,Sedang
+1552,Cukup Jenuh,26,4.8,0.5,0,0,0.5,Ringan
+1553,Biasa Saja,60,7.2,1.0,2,1,4.0,Sedang
+1554,Bagus,74,8.6,2.0,2,2,6.0,Intensif
+1555,Lumayan,68,6.7,1.5,1,2,4.5,Sedang
+1556,Cukup Jenuh,25,3.9,0.5,0,0,0.5,Ringan
+1557,Cukup Jenuh,45,5.4,0.5,1,1,2.5,Ringan
+1558,Biasa Saja,28,5.8,1.0,1,0,2.0,Ringan
+1559,Lumayan,51,7.5,1.5,2,1,4.5,Sedang
+1560,Bagus,126,7.1,2.0,2,2,6.0,Intensif
+1561,Cukup Jenuh,31,3.4,0.5,0,1,1.5,Ringan
+1562,Biasa Saja,69,6.8,1.0,1,2,4.0,Sedang
+1563,Lumayan,75,5.5,1.5,1,2,4.5,Sedang
+1564,Biasa Saja,53,3.6,1.0,0,1,2.0,Ringan
+1565,Biasa Saja,55,3.4,1.0,0,1,2.0,Ringan
+1566,Jenuh,23,4.9,0.0,0,0,0.0,Ringan
+1567,Bagus,109,7.1,2.0,2,2,6.0,Intensif
+1568,Lumayan,86,7.5,1.5,2,2,5.5,Intensif
+1569,Cukup Jenuh,26,7.0,0.5,1,0,1.5,Ringan
+1570,Bagus,114,9.0,2.0,2,2,6.0,Intensif
+1571,Biasa Saja,55,5.7,1.0,1,1,3.0,Ringan
+1572,Lumayan,58,6.3,1.5,1,1,3.5,Sedang
+1573,Cukup Jenuh,36,4.9,0.5,0,1,1.5,Ringan
+1574,Lumayan,83,5.7,1.5,1,2,4.5,Sedang
+1575,Biasa Saja,85,3.0,1.0,0,2,3.0,Ringan
+1576,Biasa Saja,60,7.8,1.0,2,1,4.0,Sedang
+1577,Lumayan,78,5.5,1.5,1,2,4.5,Sedang
+1578,Lumayan,62,5.9,1.5,1,2,4.5,Sedang
+1579,Cukup Jenuh,40,6.7,0.5,1,1,2.5,Ringan
+1580,Biasa Saja,60,5.6,1.0,1,1,3.0,Ringan
+1581,Bagus,67,7.8,2.0,2,2,6.0,Intensif
+1582,Lumayan,71,7.0,1.5,1,2,4.5,Sedang
+1583,Biasa Saja,69,8.1,1.0,2,2,5.0,Intensif
+1584,Bagus,121,8.5,2.0,2,2,6.0,Intensif
+1585,Lumayan,91,6.3,1.5,1,2,4.5,Sedang
+1586,Lumayan,65,8.1,1.5,2,2,5.5,Intensif
+1587,Biasa Saja,54,5.5,1.0,1,1,3.0,Ringan
+1588,Lumayan,73,7.7,1.5,2,2,5.5,Intensif
+1589,Lumayan,36,6.9,1.5,1,1,3.5,Sedang
+1590,Biasa Saja,58,6.4,1.0,1,1,3.0,Ringan
+1591,Lumayan,53,8.6,1.5,2,1,4.5,Sedang
+1592,Lumayan,93,5.0,1.5,1,2,4.5,Sedang
+1593,Bagus,78,7.0,2.0,1,2,5.0,Intensif
+1594,Biasa Saja,58,8.0,1.0,2,1,4.0,Sedang
+1595,Biasa Saja,21,3.8,1.0,0,0,1.0,Ringan
+1596,Bagus,105,8.0,2.0,2,2,6.0,Intensif
+1597,Biasa Saja,50,8.3,1.0,2,1,4.0,Sedang
+1598,Lumayan,43,7.0,1.5,1,1,3.5,Sedang
+1599,Bagus,108,7.3,2.0,2,2,6.0,Intensif
+1600,Lumayan,98,6.2,1.5,1,2,4.5,Sedang
+1601,Biasa Saja,56,5.2,1.0,1,1,3.0,Ringan
+1602,Biasa Saja,60,4.6,1.0,0,1,2.0,Ringan
+1603,Bagus,100,8.2,2.0,2,2,6.0,Intensif
+1604,Cukup Jenuh,29,6.6,0.5,1,0,1.5,Ringan
+1605,Cukup Jenuh,21,4.8,0.5,0,0,0.5,Ringan
+1606,Lumayan,102,7.6,1.5,2,2,5.5,Intensif
+1607,Bagus,118,7.8,2.0,2,2,6.0,Intensif
+1608,Lumayan,68,5.2,1.5,1,2,4.5,Sedang
+1609,Biasa Saja,61,7.8,1.0,2,2,5.0,Intensif
+1610,Biasa Saja,61,4.8,1.0,0,2,3.0,Ringan
+1611,Biasa Saja,74,7.0,1.0,1,2,4.0,Sedang
+1612,Biasa Saja,69,7.6,1.0,2,2,5.0,Intensif
+1613,Biasa Saja,66,5.8,1.0,1,2,4.0,Sedang
+1614,Lumayan,73,6.8,1.5,1,2,4.5,Sedang
+1615,Jenuh,27,4.7,0.0,0,0,0.0,Ringan
+1616,Biasa Saja,45,5.7,1.0,1,1,3.0,Ringan
+1617,Lumayan,63,7.1,1.5,2,2,5.5,Intensif
+1618,Biasa Saja,65,4.6,1.0,0,2,3.0,Ringan
+1619,Lumayan,108,7.8,1.5,2,2,5.5,Intensif
+1620,Biasa Saja,27,5.7,1.0,1,0,2.0,Ringan
+1621,Biasa Saja,34,5.1,1.0,1,1,3.0,Ringan
+1622,Lumayan,71,7.0,1.5,1,2,4.5,Sedang
+1623,Bagus,100,7.5,2.0,2,2,6.0,Intensif
+1624,Cukup Jenuh,39,6.4,0.5,1,1,2.5,Ringan
+1625,Biasa Saja,70,4.7,1.0,0,2,3.0,Ringan
+1626,Lumayan,69,5.6,1.5,1,2,4.5,Sedang
+1627,Biasa Saja,41,6.2,1.0,1,1,3.0,Ringan
+1628,Biasa Saja,63,4.8,1.0,0,2,3.0,Ringan
+1629,Biasa Saja,71,5.8,1.0,1,2,4.0,Sedang
+1630,Lumayan,83,9.0,1.5,2,2,5.5,Intensif
+1631,Biasa Saja,66,4.4,1.0,0,2,3.0,Ringan
+1632,Lumayan,72,8.0,1.5,2,2,5.5,Intensif
+1633,Lumayan,57,7.3,1.5,2,1,4.5,Sedang
+1634,Jenuh,32,4.9,0.0,0,1,1.0,Ringan
+1635,Cukup Jenuh,31,6.8,0.5,1,1,2.5,Ringan
+1636,Bagus,67,8.8,2.0,2,2,6.0,Intensif
+1637,Jenuh,19,3.8,0.0,0,0,0.0,Ringan
+1638,Biasa Saja,53,6.7,1.0,1,1,3.0,Ringan
+1639,Lumayan,73,6.3,1.5,1,2,4.5,Sedang
+1640,Biasa Saja,65,6.8,1.0,1,2,4.0,Sedang
+1641,Bagus,75,7.8,2.0,2,2,6.0,Intensif
+1642,Bagus,66,8.7,2.0,2,2,6.0,Intensif
+1643,Biasa Saja,64,5.7,1.0,1,2,4.0,Sedang
+1644,Bagus,62,8.9,2.0,2,2,6.0,Intensif
+1645,Biasa Saja,46,7.7,1.0,2,1,4.0,Sedang
+1646,Biasa Saja,42,5.5,1.0,1,1,3.0,Ringan
+1647,Bagus,95,8.7,2.0,2,2,6.0,Intensif
+1648,Lumayan,58,5.7,1.5,1,1,3.5,Sedang
+1649,Bagus,83,7.7,2.0,2,2,6.0,Intensif
+1650,Cukup Jenuh,28,6.1,0.5,1,0,1.5,Ringan
+1651,Biasa Saja,82,4.7,1.0,0,2,3.0,Ringan
+1652,Lumayan,71,6.0,1.5,1,2,4.5,Sedang
+1653,Cukup Jenuh,25,6.8,0.5,1,0,1.5,Ringan
+1654,Bagus,94,8.3,2.0,2,2,6.0,Intensif
+1655,Bagus,113,8.0,2.0,2,2,6.0,Intensif
+1656,Bagus,67,8.5,2.0,2,2,6.0,Intensif
+1657,Biasa Saja,22,7.3,1.0,2,0,3.0,Ringan
+1658,Bagus,92,8.5,2.0,2,2,6.0,Intensif
+1659,Biasa Saja,74,7.1,1.0,2,2,5.0,Intensif
+1660,Lumayan,45,9.0,1.5,2,1,4.5,Sedang
+1661,Biasa Saja,51,4.9,1.0,0,1,2.0,Ringan
+1662,Biasa Saja,44,5.4,1.0,1,1,3.0,Ringan
+1663,Lumayan,34,6.6,1.5,1,1,3.5,Sedang
+1664,Biasa Saja,70,6.1,1.0,1,2,4.0,Sedang
+1665,Biasa Saja,50,6.6,1.0,1,1,3.0,Ringan
+1666,Biasa Saja,55,6.1,1.0,1,1,3.0,Ringan
+1667,Biasa Saja,80,5.8,1.0,1,2,4.0,Sedang
+1668,Lumayan,63,7.5,1.5,2,2,5.5,Intensif
+1669,Biasa Saja,44,5.5,1.0,1,1,3.0,Ringan
+1670,Lumayan,99,6.0,1.5,1,2,4.5,Sedang
+1671,Bagus,111,7.1,2.0,2,2,6.0,Intensif
+1672,Cukup Jenuh,34,4.3,0.5,0,1,1.5,Ringan
+1673,Cukup Jenuh,10,3.5,0.5,0,0,0.5,Ringan
+1674,Lumayan,67,9.0,1.5,2,2,5.5,Intensif
+1675,Cukup Jenuh,34,4.4,0.5,0,1,1.5,Ringan
+1676,Lumayan,71,6.9,1.5,1,2,4.5,Sedang
+1677,Biasa Saja,64,6.6,1.0,1,2,4.0,Sedang
+1678,Cukup Jenuh,36,4.9,0.5,0,1,1.5,Ringan
+1679,Biasa Saja,42,6.9,1.0,1,1,3.0,Ringan
+1680,Lumayan,88,5.5,1.5,1,2,4.5,Sedang
+1681,Lumayan,71,7.6,1.5,2,2,5.5,Intensif
+1682,Bagus,42,7.3,2.0,2,1,5.0,Intensif
+1683,Bagus,62,7.5,2.0,2,2,6.0,Intensif
+1684,Jenuh,32,4.6,0.0,0,1,1.0,Ringan
+1685,Lumayan,97,7.5,1.5,2,2,5.5,Intensif
+1686,Jenuh,17,4.7,0.0,0,0,0.0,Ringan
+1687,Lumayan,61,8.7,1.5,2,2,5.5,Intensif
+1688,Lumayan,60,5.5,1.5,1,1,3.5,Sedang
+1689,Biasa Saja,47,4.3,1.0,0,1,2.0,Ringan
+1690,Biasa Saja,36,4.6,1.0,0,1,2.0,Ringan
+1691,Bagus,105,7.9,2.0,2,2,6.0,Intensif
+1692,Lumayan,64,7.2,1.5,2,2,5.5,Intensif
+1693,Lumayan,65,6.7,1.5,1,2,4.5,Sedang
+1694,Biasa Saja,45,8.4,1.0,2,1,4.0,Sedang
+1695,Bagus,92,7.4,2.0,2,2,6.0,Intensif
+1696,Cukup Jenuh,50,6.4,0.5,1,1,2.5,Ringan
+1697,Cukup Jenuh,40,5.6,0.5,1,1,2.5,Ringan
+1698,Cukup Jenuh,42,5.8,0.5,1,1,2.5,Ringan
+1699,Lumayan,98,9.0,1.5,2,2,5.5,Intensif
+1700,Cukup Jenuh,32,6.6,0.5,1,1,2.5,Ringan
+1701,Bagus,105,8.0,2.0,2,2,6.0,Intensif
+1702,Cukup Jenuh,56,3.5,0.5,0,1,1.5,Ringan
+1703,Biasa Saja,47,6.8,1.0,1,1,3.0,Ringan
+1704,Lumayan,106,6.4,1.5,1,2,4.5,Sedang
+1705,Jenuh,29,4.9,0.0,0,0,0.0,Ringan
+1706,Jenuh,28,4.9,0.0,0,0,0.0,Ringan
+1707,Biasa Saja,55,5.3,1.0,1,1,3.0,Ringan
+1708,Biasa Saja,45,7.7,1.0,2,1,4.0,Sedang
+1709,Biasa Saja,61,6.5,1.0,1,2,4.0,Sedang
+1710,Biasa Saja,60,5.7,1.0,1,1,3.0,Ringan
+1711,Biasa Saja,56,5.2,1.0,1,1,3.0,Ringan
+1712,Bagus,87,7.4,2.0,2,2,6.0,Intensif
+1713,Biasa Saja,59,5.7,1.0,1,1,3.0,Ringan
+1714,Bagus,83,8.3,2.0,2,2,6.0,Intensif
+1715,Jenuh,31,4.6,0.0,0,1,1.0,Ringan
+1716,Lumayan,95,6.9,1.5,1,2,4.5,Sedang
+1717,Jenuh,22,4.7,0.0,0,0,0.0,Ringan
+1718,Biasa Saja,58,5.9,1.0,1,1,3.0,Ringan
+1719,Lumayan,75,7.5,1.5,2,2,5.5,Intensif
+1720,Bagus,88,8.1,2.0,2,2,6.0,Intensif
+1721,Jenuh,10,4.9,0.0,0,0,0.0,Ringan
+1722,Lumayan,98,6.0,1.5,1,2,4.5,Sedang
+1723,Bagus,88,9.0,2.0,2,2,6.0,Intensif
+1724,Lumayan,104,6.4,1.5,1,2,4.5,Sedang
+1725,Cukup Jenuh,31,6.1,0.5,1,1,2.5,Ringan
+1726,Biasa Saja,47,5.2,1.0,1,1,3.0,Ringan
+1727,Lumayan,36,7.2,1.5,2,1,4.5,Sedang
+1728,Cukup Jenuh,14,5.4,0.5,1,0,1.5,Ringan
+1729,Biasa Saja,44,4.4,1.0,0,1,2.0,Ringan
+1730,Bagus,89,8.9,2.0,2,2,6.0,Intensif
+1731,Bagus,86,8.6,2.0,2,2,6.0,Intensif
+1732,Jenuh,28,4.4,0.0,0,0,0.0,Ringan
+1733,Lumayan,70,7.0,1.5,1,2,4.5,Sedang
+1734,Cukup Jenuh,46,5.1,0.5,1,1,2.5,Ringan
+1735,Biasa Saja,52,6.3,1.0,1,1,3.0,Ringan
+1736,Lumayan,71,7.5,1.5,2,2,5.5,Intensif
+1737,Lumayan,53,7.9,1.5,2,1,4.5,Sedang
+1738,Lumayan,77,5.9,1.5,1,2,4.5,Sedang
+1739,Lumayan,87,7.4,1.5,2,2,5.5,Intensif
+1740,Lumayan,65,5.3,1.5,1,2,4.5,Sedang
+1741,Lumayan,61,8.5,1.5,2,2,5.5,Intensif
+1742,Cukup Jenuh,26,6.2,0.5,1,0,1.5,Ringan
+1743,Bagus,105,8.2,2.0,2,2,6.0,Intensif
+1744,Cukup Jenuh,32,5.3,0.5,1,1,2.5,Ringan
+1745,Biasa Saja,62,5.7,1.0,1,2,4.0,Sedang
+1746,Biasa Saja,51,9.0,1.0,2,1,4.0,Sedang
+1747,Bagus,141,8.3,2.0,2,2,6.0,Intensif
+1748,Cukup Jenuh,39,5.5,0.5,1,1,2.5,Ringan
+1749,Lumayan,58,5.8,1.5,1,1,3.5,Sedang
+1750,Cukup Jenuh,27,4.5,0.5,0,0,0.5,Ringan
+1751,Lumayan,74,6.8,1.5,1,2,4.5,Sedang
+1752,Cukup Jenuh,36,5.7,0.5,1,1,2.5,Ringan
+1753,Lumayan,102,9.0,1.5,2,2,5.5,Intensif
+1754,Lumayan,65,5.8,1.5,1,2,4.5,Sedang
+1755,Biasa Saja,61,4.5,1.0,0,2,3.0,Ringan
+1756,Bagus,107,7.4,2.0,2,2,6.0,Intensif
+1757,Lumayan,102,8.0,1.5,2,2,5.5,Intensif
+1758,Lumayan,82,6.8,1.5,1,2,4.5,Sedang
+1759,Bagus,85,7.4,2.0,2,2,6.0,Intensif
+1760,Biasa Saja,48,6.8,1.0,1,1,3.0,Ringan
+1761,Lumayan,87,6.8,1.5,1,2,4.5,Sedang
+1762,Biasa Saja,29,5.0,1.0,1,0,2.0,Ringan
+1763,Cukup Jenuh,34,4.9,0.5,0,1,1.5,Ringan
+1764,Biasa Saja,45,8.3,1.0,2,1,4.0,Sedang
+1765,Lumayan,54,5.9,1.5,1,1,3.5,Sedang
+1766,Lumayan,66,7.1,1.5,2,2,5.5,Intensif
+1767,Lumayan,51,5.8,1.5,1,1,3.5,Sedang
+1768,Cukup Jenuh,38,5.2,0.5,1,1,2.5,Ringan
+1769,Biasa Saja,74,5.7,1.0,1,2,4.0,Sedang
+1770,Lumayan,92,6.7,1.5,1,2,4.5,Sedang
+1771,Lumayan,67,8.1,1.5,2,2,5.5,Intensif
+1772,Biasa Saja,60,7.8,1.0,2,1,4.0,Sedang
+1773,Lumayan,81,9.0,1.5,2,2,5.5,Intensif
+1774,Jenuh,28,4.8,0.0,0,0,0.0,Ringan
+1775,Biasa Saja,58,5.8,1.0,1,1,3.0,Ringan
+1776,Lumayan,54,5.7,1.5,1,1,3.5,Sedang
+1777,Lumayan,31,8.1,1.5,2,1,4.5,Sedang
+1778,Bagus,104,8.0,2.0,2,2,6.0,Intensif
+1779,Cukup Jenuh,47,6.5,0.5,1,1,2.5,Ringan
+1780,Biasa Saja,46,6.1,1.0,1,1,3.0,Ringan
+1781,Bagus,90,7.4,2.0,2,2,6.0,Intensif
+1782,Lumayan,98,9.0,1.5,2,2,5.5,Intensif
+1783,Cukup Jenuh,21,5.4,0.5,1,0,1.5,Ringan
+1784,Lumayan,65,7.2,1.5,2,2,5.5,Intensif
+1785,Bagus,114,7.7,2.0,2,2,6.0,Intensif
+1786,Bagus,98,8.1,2.0,2,2,6.0,Intensif
+1787,Lumayan,85,6.4,1.5,1,2,4.5,Sedang
+1788,Bagus,92,7.3,2.0,2,2,6.0,Intensif
+1789,Biasa Saja,51,5.5,1.0,1,1,3.0,Ringan
+1790,Bagus,81,8.1,2.0,2,2,6.0,Intensif
+1791,Bagus,93,8.8,2.0,2,2,6.0,Intensif
+1792,Cukup Jenuh,25,3.4,0.5,0,0,0.5,Ringan
+1793,Bagus,97,8.6,2.0,2,2,6.0,Intensif
+1794,Bagus,100,9.0,2.0,2,2,6.0,Intensif
+1795,Biasa Saja,52,6.9,1.0,1,1,3.0,Ringan
+1796,Bagus,114,9.0,2.0,2,2,6.0,Intensif
+1797,Biasa Saja,90,6.8,1.0,1,2,4.0,Sedang
+1798,Lumayan,70,5.5,1.5,1,2,4.5,Sedang
+1799,Biasa Saja,63,6.3,1.0,1,2,4.0,Sedang
+1800,Biasa Saja,81,7.0,1.0,1,2,4.0,Sedang
+1801,Bagus,78,7.7,2.0,2,2,6.0,Intensif
+1802,Lumayan,47,6.2,1.5,1,1,3.5,Sedang
+1803,Lumayan,49,7.6,1.5,2,1,4.5,Sedang
+1804,Lumayan,99,6.0,1.5,1,2,4.5,Sedang
+1805,Bagus,109,8.9,2.0,2,2,6.0,Intensif
+1806,Biasa Saja,55,5.7,1.0,1,1,3.0,Ringan
+1807,Jenuh,45,3.3,0.0,0,1,1.0,Ringan
+1808,Biasa Saja,57,5.8,1.0,1,1,3.0,Ringan
+1809,Biasa Saja,31,6.2,1.0,1,1,3.0,Ringan
+1810,Biasa Saja,70,3.8,1.0,0,2,3.0,Ringan
+1811,Lumayan,75,8.4,1.5,2,2,5.5,Intensif
+1812,Biasa Saja,52,7.3,1.0,2,1,4.0,Sedang
+1813,Biasa Saja,63,7.6,1.0,2,2,5.0,Intensif
+1814,Biasa Saja,68,6.8,1.0,1,2,4.0,Sedang
+1815,Lumayan,61,9.0,1.5,2,2,5.5,Intensif
+1816,Biasa Saja,69,5.2,1.0,1,2,4.0,Sedang
+1817,Biasa Saja,42,6.2,1.0,1,1,3.0,Ringan
+1818,Lumayan,38,6.5,1.5,1,1,3.5,Sedang
+1819,Lumayan,71,8.2,1.5,2,2,5.5,Intensif
+1820,Cukup Jenuh,37,6.2,0.5,1,1,2.5,Ringan
+1821,Cukup Jenuh,23,4.7,0.5,0,0,0.5,Ringan
+1822,Bagus,87,7.9,2.0,2,2,6.0,Intensif
+1823,Lumayan,48,6.0,1.5,1,1,3.5,Sedang
+1824,Biasa Saja,58,6.7,1.0,1,1,3.0,Ringan
+1825,Lumayan,80,6.5,1.5,1,2,4.5,Sedang
+1826,Lumayan,42,5.8,1.5,1,1,3.5,Sedang
+1827,Lumayan,43,7.4,1.5,2,1,4.5,Sedang
+1828,Lumayan,76,8.8,1.5,2,2,5.5,Intensif
+1829,Lumayan,77,5.0,1.5,1,2,4.5,Sedang
+1830,Biasa Saja,58,3.9,1.0,0,1,2.0,Ringan
+1831,Biasa Saja,89,7.9,1.0,2,2,5.0,Intensif
+1832,Biasa Saja,54,5.4,1.0,1,1,3.0,Ringan
+1833,Jenuh,17,3.8,0.0,0,0,0.0,Ringan
+1834,Bagus,70,7.2,2.0,2,2,6.0,Intensif
+1835,Lumayan,68,6.3,1.5,1,2,4.5,Sedang
+1836,Lumayan,77,7.0,1.5,1,2,4.5,Sedang
+1837,Cukup Jenuh,35,5.3,0.5,1,1,2.5,Ringan
+1838,Biasa Saja,72,7.6,1.0,2,2,5.0,Intensif
+1839,Biasa Saja,56,6.9,1.0,1,1,3.0,Ringan
+1840,Lumayan,91,6.5,1.5,1,2,4.5,Sedang
+1841,Cukup Jenuh,35,4.9,0.5,0,1,1.5,Ringan
+1842,Bagus,88,9.0,2.0,2,2,6.0,Intensif
+1843,Cukup Jenuh,20,6.4,0.5,1,0,1.5,Ringan
+1844,Jenuh,10,4.6,0.0,0,0,0.0,Ringan
+1845,Cukup Jenuh,43,4.1,0.5,0,1,1.5,Ringan
+1846,Lumayan,56,6.0,1.5,1,1,3.5,Sedang
+1847,Bagus,81,7.5,2.0,2,2,6.0,Intensif
+1848,Lumayan,58,6.4,1.5,1,1,3.5,Sedang
+1849,Cukup Jenuh,35,6.7,0.5,1,1,2.5,Ringan
+1850,Biasa Saja,57,6.0,1.0,1,1,3.0,Ringan
+1851,Lumayan,84,7.1,1.5,2,2,5.5,Intensif
+1852,Lumayan,65,7.4,1.5,2,2,5.5,Intensif
+1853,Biasa Saja,45,5.5,1.0,1,1,3.0,Ringan
+1854,Cukup Jenuh,45,5.9,0.5,1,1,2.5,Ringan
+1855,Biasa Saja,56,7.9,1.0,2,1,4.0,Sedang
+1856,Biasa Saja,37,7.7,1.0,2,1,4.0,Sedang
+1857,Bagus,77,9.0,2.0,2,2,6.0,Intensif
+1858,Lumayan,39,6.4,1.5,1,1,3.5,Sedang
+1859,Lumayan,133,6.7,1.5,1,2,4.5,Sedang
+1860,Cukup Jenuh,28,3.6,0.5,0,0,0.5,Ringan
+1861,Biasa Saja,55,6.4,1.0,1,1,3.0,Ringan
+1862,Lumayan,103,5.2,1.5,1,2,4.5,Sedang
+1863,Lumayan,52,5.4,1.5,1,1,3.5,Sedang
+1864,Cukup Jenuh,37,4.8,0.5,0,1,1.5,Ringan
+1865,Bagus,131,7.3,2.0,2,2,6.0,Intensif
+1866,Bagus,55,8.8,2.0,2,1,5.0,Intensif
+1867,Cukup Jenuh,30,6.8,0.5,1,0,1.5,Ringan
+1868,Biasa Saja,34,5.3,1.0,1,1,3.0,Ringan
+1869,Biasa Saja,58,5.9,1.0,1,1,3.0,Ringan
+1870,Lumayan,25,5.3,1.5,1,0,2.5,Ringan
+1871,Bagus,83,7.3,2.0,2,2,6.0,Intensif
+1872,Cukup Jenuh,19,5.2,0.5,1,0,1.5,Ringan
+1873,Lumayan,93,5.2,1.5,1,2,4.5,Sedang
+1874,Biasa Saja,52,6.9,1.0,1,1,3.0,Ringan
+1875,Bagus,111,9.0,2.0,2,2,6.0,Intensif
+1876,Lumayan,102,6.7,1.5,1,2,4.5,Sedang
+1877,Cukup Jenuh,24,6.7,0.5,1,0,1.5,Ringan
+1878,Lumayan,67,7.6,1.5,2,2,5.5,Intensif
+1879,Lumayan,64,6.9,1.5,1,2,4.5,Sedang
+1880,Biasa Saja,20,6.5,1.0,1,0,2.0,Ringan
+1881,Biasa Saja,41,6.2,1.0,1,1,3.0,Ringan
+1882,Bagus,98,8.5,2.0,2,2,6.0,Intensif
+1883,Lumayan,94,7.4,1.5,2,2,5.5,Intensif
+1884,Lumayan,108,5.4,1.5,1,2,4.5,Sedang
+1885,Biasa Saja,86,7.0,1.0,1,2,4.0,Sedang
+1886,Lumayan,69,7.5,1.5,2,2,5.5,Intensif
+1887,Biasa Saja,42,6.3,1.0,1,1,3.0,Ringan
+1888,Cukup Jenuh,49,6.5,0.5,1,1,2.5,Ringan
+1889,Cukup Jenuh,19,5.6,0.5,1,0,1.5,Ringan
+1890,Cukup Jenuh,41,7.0,0.5,1,1,2.5,Ringan
+1891,Lumayan,64,5.1,1.5,1,2,4.5,Sedang
+1892,Cukup Jenuh,29,4.2,0.5,0,0,0.5,Ringan
+1893,Biasa Saja,43,5.9,1.0,1,1,3.0,Ringan
+1894,Jenuh,17,3.5,0.0,0,0,0.0,Ringan
+1895,Lumayan,83,6.9,1.5,1,2,4.5,Sedang
+1896,Lumayan,84,5.5,1.5,1,2,4.5,Sedang
+1897,Bagus,84,8.1,2.0,2,2,6.0,Intensif
+1898,Bagus,114,7.0,2.0,1,2,5.0,Intensif
+1899,Lumayan,126,8.4,1.5,2,2,5.5,Intensif
+1900,Bagus,87,7.3,2.0,2,2,6.0,Intensif
+1901,Cukup Jenuh,22,4.3,0.5,0,0,0.5,Ringan
+1902,Biasa Saja,38,7.5,1.0,2,1,4.0,Sedang
+1903,Lumayan,83,8.9,1.5,2,2,5.5,Intensif
+1904,Bagus,84,8.2,2.0,2,2,6.0,Intensif
+1905,Bagus,104,8.9,2.0,2,2,6.0,Intensif
+1906,Cukup Jenuh,16,5.9,0.5,1,0,1.5,Ringan
+1907,Biasa Saja,66,6.6,1.0,1,2,4.0,Sedang
+1908,Biasa Saja,40,7.6,1.0,2,1,4.0,Sedang
+1909,Lumayan,96,6.1,1.5,1,2,4.5,Sedang
+1910,Biasa Saja,49,4.2,1.0,0,1,2.0,Ringan
+1911,Biasa Saja,73,6.1,1.0,1,2,4.0,Sedang
+1912,Lumayan,61,6.1,1.5,1,2,4.5,Sedang
+1913,Jenuh,22,4.2,0.0,0,0,0.0,Ringan
+1914,Biasa Saja,48,5.0,1.0,1,1,3.0,Ringan
+1915,Bagus,99,8.1,2.0,2,2,6.0,Intensif
+1916,Cukup Jenuh,28,4.1,0.5,0,0,0.5,Ringan
+1917,Lumayan,69,5.7,1.5,1,2,4.5,Sedang
+1918,Lumayan,71,8.3,1.5,2,2,5.5,Intensif
+1919,Lumayan,65,5.3,1.5,1,2,4.5,Sedang
+1920,Biasa Saja,44,7.9,1.0,2,1,4.0,Sedang
+1921,Lumayan,90,6.0,1.5,1,2,4.5,Sedang
+1922,Bagus,113,7.0,2.0,1,2,5.0,Intensif
+1923,Jenuh,19,3.9,0.0,0,0,0.0,Ringan
+1924,Lumayan,74,6.9,1.5,1,2,4.5,Sedang
+1925,Biasa Saja,21,6.1,1.0,1,0,2.0,Ringan
+1926,Biasa Saja,41,8.2,1.0,2,1,4.0,Sedang
+1927,Cukup Jenuh,46,6.8,0.5,1,1,2.5,Ringan
+1928,Lumayan,42,5.3,1.5,1,1,3.5,Sedang
+1929,Jenuh,22,3.8,0.0,0,0,0.0,Ringan
+1930,Biasa Saja,50,5.6,1.0,1,1,3.0,Ringan
+1931,Biasa Saja,32,6.2,1.0,1,1,3.0,Ringan
+1932,Bagus,111,7.5,2.0,2,2,6.0,Intensif
+1933,Jenuh,13,4.6,0.0,0,0,0.0,Ringan
+1934,Lumayan,103,6.3,1.5,1,2,4.5,Sedang
+1935,Bagus,109,7.1,2.0,2,2,6.0,Intensif
+1936,Biasa Saja,55,7.2,1.0,2,1,4.0,Sedang
+1937,Bagus,83,7.4,2.0,2,2,6.0,Intensif
+1938,Bagus,73,7.5,2.0,2,2,6.0,Intensif
+1939,Biasa Saja,55,7.8,1.0,2,1,4.0,Sedang
+1940,Biasa Saja,39,5.9,1.0,1,1,3.0,Ringan
+1941,Cukup Jenuh,13,4.5,0.5,0,0,0.5,Ringan
+1942,Bagus,65,8.1,2.0,2,2,6.0,Intensif
+1943,Lumayan,89,6.9,1.5,1,2,4.5,Sedang
+1944,Lumayan,58,6.6,1.5,1,1,3.5,Sedang
+1945,Cukup Jenuh,31,4.7,0.5,0,1,1.5,Ringan
+1946,Lumayan,86,6.5,1.5,1,2,4.5,Sedang
+1947,Jenuh,36,4.2,0.0,0,1,1.0,Ringan
+1948,Biasa Saja,50,4.5,1.0,0,1,2.0,Ringan
+1949,Biasa Saja,68,5.4,1.0,1,2,4.0,Sedang
+1950,Biasa Saja,39,5.5,1.0,1,1,3.0,Ringan
+1951,Lumayan,51,5.6,1.5,1,1,3.5,Sedang
+1952,Jenuh,32,3.0,0.0,0,1,1.0,Ringan
+1953,Biasa Saja,64,6.2,1.0,1,2,4.0,Sedang
+1954,Biasa Saja,48,4.3,1.0,0,1,2.0,Ringan
+1955,Lumayan,68,6.7,1.5,1,2,4.5,Sedang
+1956,Bagus,102,7.1,2.0,2,2,6.0,Intensif
+1957,Bagus,93,7.0,2.0,1,2,5.0,Intensif
+1958,Lumayan,55,5.5,1.5,1,1,3.5,Sedang
+1959,Lumayan,70,7.6,1.5,2,2,5.5,Intensif
+1960,Bagus,92,7.5,2.0,2,2,6.0,Intensif
+1961,Biasa Saja,33,7.0,1.0,1,1,3.0,Ringan
+1962,Biasa Saja,47,6.3,1.0,1,1,3.0,Ringan
+1963,Bagus,122,8.0,2.0,2,2,6.0,Intensif
+1964,Lumayan,57,6.3,1.5,1,1,3.5,Sedang
+1965,Lumayan,88,6.4,1.5,1,2,4.5,Sedang
+1966,Lumayan,106,6.5,1.5,1,2,4.5,Sedang
+1967,Biasa Saja,58,6.9,1.0,1,1,3.0,Ringan
+1968,Biasa Saja,46,6.6,1.0,1,1,3.0,Ringan
+1969,Cukup Jenuh,29,5.9,0.5,1,0,1.5,Ringan
+1970,Biasa Saja,35,3.0,1.0,0,1,2.0,Ringan
+1971,Biasa Saja,71,5.8,1.0,1,2,4.0,Sedang
+1972,Biasa Saja,70,8.3,1.0,2,2,5.0,Intensif
+1973,Jenuh,32,3.0,0.0,0,1,1.0,Ringan
+1974,Biasa Saja,69,4.4,1.0,0,2,3.0,Ringan
+1975,Biasa Saja,70,5.9,1.0,1,2,4.0,Sedang
+1976,Cukup Jenuh,33,4.4,0.5,0,1,1.5,Ringan
+1977,Biasa Saja,45,6.3,1.0,1,1,3.0,Ringan
+1978,Biasa Saja,48,8.9,1.0,2,1,4.0,Sedang
+1979,Cukup Jenuh,21,6.7,0.5,1,0,1.5,Ringan
+1980,Lumayan,80,6.9,1.5,1,2,4.5,Sedang
+1981,Biasa Saja,17,4.9,1.0,0,0,1.0,Ringan
+1982,Lumayan,59,5.3,1.5,1,1,3.5,Sedang
+1983,Biasa Saja,65,6.7,1.0,1,2,4.0,Sedang
+1984,Biasa Saja,65,6.1,1.0,1,2,4.0,Sedang
+1985,Bagus,107,7.3,2.0,2,2,6.0,Intensif
+1986,Bagus,49,7.4,2.0,2,1,5.0,Intensif
+1987,Lumayan,61,5.4,1.5,1,2,4.5,Sedang
+1988,Lumayan,92,5.6,1.5,1,2,4.5,Sedang
+1989,Bagus,95,8.2,2.0,2,2,6.0,Intensif
+1990,Biasa Saja,45,6.2,1.0,1,1,3.0,Ringan
+1991,Biasa Saja,58,8.5,1.0,2,1,4.0,Sedang
+1992,Bagus,121,7.2,2.0,2,2,6.0,Intensif
+1993,Cukup Jenuh,31,4.9,0.5,0,1,1.5,Ringan
+1994,Lumayan,42,7.5,1.5,2,1,4.5,Sedang
+1995,Bagus,91,8.3,2.0,2,2,6.0,Intensif
+1996,Lumayan,28,9.0,1.5,2,0,3.5,Sedang
+1997,Biasa Saja,74,5.8,1.0,1,2,4.0,Sedang
+1998,Bagus,80,8.7,2.0,2,2,6.0,Intensif
+1999,Cukup Jenuh,20,6.4,0.5,1,0,1.5,Ringan
+2000,Bagus,95,7.7,2.0,2,2,6.0,Intensif
diff --git a/Model Algoritma/data_sintetis_2000_tanpa_label.csv b/Model Algoritma/data_sintetis_2000_tanpa_label.csv
new file mode 100644
index 0000000..c33fe1a
--- /dev/null
+++ b/Model Algoritma/data_sintetis_2000_tanpa_label.csv	
@@ -0,0 +1,2001 @@
+no,mood,durasi_belajar,durasi_tidur
+1,Lumayan,72,7.2
+2,Biasa Saja,59,4.8
+3,Bagus,110,8.9
+4,Lumayan,64,5.6
+5,Biasa Saja,26,6.9
+6,Bagus,64,7.7
+7,Biasa Saja,33,5.1
+8,Biasa Saja,63,5.6
+9,Biasa Saja,56,5.7
+10,Lumayan,93,5.6
+11,Lumayan,112,5.6
+12,Cukup Jenuh,34,5.7
+13,Bagus,70,7.7
+14,Bagus,118,9.0
+15,Bagus,98,7.6
+16,Biasa Saja,31,5.0
+17,Lumayan,96,5.8
+18,Jenuh,26,4.8
+19,Lumayan,87,5.5
+20,Lumayan,92,7.4
+21,Cukup Jenuh,31,5.2
+22,Biasa Saja,71,4.2
+23,Jenuh,13,4.8
+24,Bagus,100,7.8
+25,Lumayan,62,7.0
+26,Bagus,101,8.7
+27,Biasa Saja,67,3.0
+28,Cukup Jenuh,45,4.4
+29,Biasa Saja,60,6.2
+30,Lumayan,89,5.3
+31,Cukup Jenuh,29,5.3
+32,Biasa Saja,72,7.3
+33,Cukup Jenuh,40,5.7
+34,Biasa Saja,57,8.6
+35,Lumayan,68,5.4
+36,Biasa Saja,50,8.4
+37,Biasa Saja,51,6.5
+38,Lumayan,69,5.9
+39,Biasa Saja,61,6.3
+40,Cukup Jenuh,49,5.1
+41,Biasa Saja,54,3.6
+42,Biasa Saja,48,6.7
+43,Lumayan,81,6.2
+44,Bagus,94,7.0
+45,Bagus,110,8.2
+46,Biasa Saja,75,5.3
+47,Bagus,138,7.4
+48,Lumayan,93,5.8
+49,Biasa Saja,47,6.6
+50,Lumayan,67,6.5
+51,Cukup Jenuh,39,4.9
+52,Bagus,91,7.4
+53,Cukup Jenuh,31,5.3
+54,Biasa Saja,63,6.0
+55,Biasa Saja,74,6.8
+56,Cukup Jenuh,32,6.0
+57,Lumayan,90,6.9
+58,Biasa Saja,41,8.4
+59,Biasa Saja,60,6.9
+60,Lumayan,91,6.8
+61,Lumayan,60,6.9
+62,Biasa Saja,36,6.8
+63,Jenuh,31,4.7
+64,Biasa Saja,38,5.4
+65,Lumayan,83,7.9
+66,Lumayan,77,5.2
+67,Cukup Jenuh,26,5.2
+68,Lumayan,70,7.8
+69,Biasa Saja,76,6.5
+70,Jenuh,24,4.4
+71,Jenuh,29,4.9
+72,Cukup Jenuh,42,6.3
+73,Cukup Jenuh,19,5.2
+74,Biasa Saja,47,5.1
+75,Biasa Saja,60,6.8
+76,Cukup Jenuh,26,6.8
+77,Cukup Jenuh,23,6.6
+78,Lumayan,96,7.8
+79,Jenuh,15,4.4
+80,Cukup Jenuh,37,7.0
+81,Lumayan,152,7.3
+82,Lumayan,94,8.5
+83,Lumayan,90,6.0
+84,Lumayan,57,6.7
+85,Bagus,57,9.0
+86,Lumayan,76,5.9
+87,Lumayan,96,5.8
+88,Bagus,97,8.8
+89,Lumayan,79,5.4
+90,Lumayan,111,9.0
+91,Jenuh,26,3.5
+92,Lumayan,41,5.8
+93,Bagus,112,7.3
+94,Lumayan,68,6.0
+95,Lumayan,83,9.0
+96,Lumayan,108,7.1
+97,Cukup Jenuh,30,4.2
+98,Lumayan,112,6.1
+99,Biasa Saja,39,3.0
+100,Cukup Jenuh,21,3.5
+101,Lumayan,77,5.8
+102,Cukup Jenuh,58,6.6
+103,Lumayan,84,5.0
+104,Biasa Saja,55,6.2
+105,Lumayan,88,6.7
+106,Biasa Saja,86,5.6
+107,Cukup Jenuh,40,6.3
+108,Lumayan,79,5.8
+109,Lumayan,91,5.6
+110,Biasa Saja,76,7.9
+111,Bagus,107,7.7
+112,Biasa Saja,44,7.3
+113,Lumayan,77,6.5
+114,Cukup Jenuh,46,5.5
+115,Biasa Saja,71,6.2
+116,Cukup Jenuh,37,5.9
+117,Bagus,95,8.5
+118,Lumayan,92,6.1
+119,Cukup Jenuh,33,7.0
+120,Bagus,116,9.0
+121,Cukup Jenuh,22,5.0
+122,Lumayan,88,7.7
+123,Lumayan,57,6.5
+124,Jenuh,42,3.4
+125,Lumayan,68,5.3
+126,Bagus,122,7.4
+127,Lumayan,64,6.9
+128,Bagus,112,7.3
+129,Jenuh,10,4.3
+130,Lumayan,102,5.5
+131,Biasa Saja,77,7.0
+132,Biasa Saja,54,6.0
+133,Biasa Saja,42,7.0
+134,Bagus,96,7.2
+135,Bagus,86,7.5
+136,Cukup Jenuh,44,6.6
+137,Cukup Jenuh,27,6.6
+138,Lumayan,83,9.0
+139,Lumayan,59,9.0
+140,Biasa Saja,69,6.3
+141,Biasa Saja,46,5.2
+142,Bagus,58,8.0
+143,Bagus,132,7.0
+144,Bagus,114,7.4
+145,Jenuh,43,4.5
+146,Cukup Jenuh,32,6.4
+147,Jenuh,38,3.9
+148,Biasa Saja,59,6.9
+149,Biasa Saja,46,4.1
+150,Cukup Jenuh,38,6.9
+151,Biasa Saja,55,6.5
+152,Lumayan,43,6.0
+153,Lumayan,85,6.7
+154,Bagus,125,8.1
+155,Biasa Saja,43,7.0
+156,Cukup Jenuh,50,6.7
+157,Biasa Saja,81,9.0
+158,Biasa Saja,50,5.0
+159,Lumayan,102,7.5
+160,Lumayan,68,5.8
+161,Bagus,59,8.1
+162,Bagus,92,7.8
+163,Bagus,96,8.8
+164,Biasa Saja,59,8.0
+165,Cukup Jenuh,34,3.9
+166,Lumayan,83,6.5
+167,Biasa Saja,65,4.5
+168,Cukup Jenuh,39,4.8
+169,Biasa Saja,69,6.4
+170,Lumayan,65,5.8
+171,Lumayan,59,5.7
+172,Cukup Jenuh,33,4.3
+173,Bagus,95,9.0
+174,Bagus,119,7.3
+175,Cukup Jenuh,32,6.3
+176,Lumayan,86,5.4
+177,Biasa Saja,20,6.1
+178,Biasa Saja,22,5.6
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diff --git a/Model Algoritma/encoder_label.pkl b/Model Algoritma/encoder_label.pkl
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