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{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"mount_file_id":"19Puhp-v3I51ozU-QNWC8Rhi1Zy-KZRtB","authorship_tag":"ABX9TyMmbvUiY0GYfp3+blvIqpUB"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["kode bener\n"],"metadata":{"id":"fZOUjrmnrGrX"}},{"cell_type":"markdown","source":["**1. Penentuan Parameter Scale**\n","\n"],"metadata":{"id":"HqAKGKKbgOBQ"}},{"cell_type":"code","source":["# =========================\n","# IMPORT LIBRARY\n","# =========================\n","import pandas as pd # digunakan untuk membaca dan mengolah data berbentuk tabel\n","import numpy as np # digunakan untuk perhitungan numerik seperti rata-rata dan array\n","from prophet import Prophet # digunakan sebagai model forecasting time series\n","\n","# =========================\n","# LOAD DATA\n","# =========================\n","df = pd.read_excel('/content/drive/MyDrive/TA/data/kumpulan/Data_Latih_Prophet.xlsx')\n","# membaca data penjualan LPG dari file excel hasil penggabungan logbook\n","\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","# mengubah kolom tanggal_penjualan menjadi format datetime (wajib untuk Prophet)\n","\n","df['y'] = df['jumlah']\n","# menetapkan kolom jumlah sebagai variabel target yang akan diprediksi\n","\n","df = df[['ds','y']].sort_values('ds')\n","# mengambil hanya kolom yang dibutuhkan dan mengurutkan berdasarkan waktu agar kronologis\n","\n","df = df[df['ds'] < '2026-01-01']\n","# membatasi data hanya sampai sebelum tahun 2026 agar fokus pada data historis\n","\n","# =========================\n","# FUNGSI MAPE\n","# =========================\n","def mape_global(y_true, y_pred):\n","\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," # mengubah data menjadi array agar mudah dihitung secara numerik\n","\n"," mask = y_true != 0\n"," # membuat filter untuk menghindari pembagian dengan nol (karena ada data penjualan = 0)\n","\n"," return np.mean(np.abs((y_true[mask] - y_pred[mask]) / y_true[mask])) * 100\n"," # menghitung MAPE sebagai rata-rata error dalam persen\n","\n","# =========================\n","# PARAMETER ROLLING\n","# =========================\n","window = 30\n","# menentukan panjang prediksi setiap iterasi (30 hari = 1 bulan)\n","\n","step = 30\n","# menentukan pergeseran data setiap iterasi (rolling maju 30 hari)\n","\n","# =========================\n","# FUNGSI EVALUASI SCALE\n","# =========================\n","def evaluate_scale(scale):\n","\n"," df_copy = df.copy()\n"," # membuat salinan data agar tidak merusak data asli saat dimodifikasi\n","\n"," df_copy['pengetatan_level'] = 1.0\n"," # default kondisi normal sebelum pengetatan\n","\n"," df_copy.loc[df_copy['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n"," # setelah Oktober 2025 diberi nilai scale sebagai representasi pengetatan\n","\n"," mape_list = []\n"," # list untuk menyimpan nilai MAPE dari setiap iterasi rolling\n","\n"," for start in range(180, len(df_copy) - window, step):\n"," # looping rolling forecasting:\n"," # mulai dari data ke-180 → maju 30 hari → maju lagi 30 hari\n","\n"," train = df_copy.iloc[:start]\n"," # data training bertambah seiring iterasi\n","\n"," test = df_copy.iloc[start:start+window]\n"," # data testing selalu 30 hari ke depan\n","\n"," model = Prophet(\n"," weekly_seasonality=True, # menangkap pola mingguan penjualan\n"," changepoint_prior_scale=0.25 # mengatur fleksibilitas perubahan tren\n"," )\n","\n"," model.add_regressor('pengetatan_level')\n"," # menambahkan variabel pengetatan agar model tahu ada perubahan kondisi\n","\n"," model.fit(train)\n"," # melatih model menggunakan data training\n","\n"," future = model.make_future_dataframe(periods=len(test))\n"," # membuat tanggal ke depan sebanyak data test\n","\n"," future['pengetatan_level'] = 1.0\n"," # default kondisi normal\n","\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n"," # menyesuaikan kondisi pengetatan pada data masa depan\n","\n"," forecast = model.predict(future)\n"," # melakukan prediksi menggunakan model\n","\n"," pred = forecast[['ds','yhat']].tail(len(test))\n"," # mengambil hasil prediksi yang sesuai dengan data test\n","\n"," mape = mape_global(test['y'].values, pred['yhat'].values)\n"," # menghitung error antara data asli dan prediksi\n","\n"," mape_list.append(mape)\n"," # menyimpan hasil MAPE setiap iterasi\n","\n"," return np.mean(mape_list), np.std(mape_list)\n"," # mengembalikan rata-rata MAPE dan standar deviasi untuk mengukur stabilitas\n","\n","# =========================\n","# GENERATE SCALE BERTINGKAT\n","# =========================\n","scales_1 = np.arange(1.0, 0.1, -0.1)\n","# menghasilkan scale dari 1.0 sampai 0.1 dengan langkah 0.1\n","\n","scales_2 = np.arange(0.1, 0.01, -0.01)\n","# menghasilkan scale dari 0.1 sampai 0.01 dengan langkah lebih kecil\n","\n","scales_3 = np.arange(0.01, 0.001, -0.001)\n","# menghasilkan scale sangat kecil untuk mencari titik optimal lebih detail\n","\n","scales = np.unique(np.concatenate([scales_1, scales_2, scales_3]))\n","# menggabungkan semua kandidat scale menjadi satu list\n","\n","scales = sorted(scales, reverse=True)\n","# mengurutkan dari besar ke kecil agar proses pencarian sistematis\n","\n","# =========================\n","# PARAMETER KONVERGENSI\n","# =========================\n","tolerance = 0.02\n","# batas selisih MAPE antar scale untuk menentukan apakah sudah konvergen\n","\n","prev_mape = None\n","# menyimpan MAPE sebelumnya untuk dibandingkan\n","\n","best_scale = None\n","# menyimpan scale terbaik sementara\n","\n","results = []\n","# menyimpan semua hasil pengujian scale\n","\n","differences = []\n","# menyimpan selisih perubahan MAPE antar iterasi\n","\n","# =========================\n","# PROSES PENGUJIAN\n","# =========================\n","for s in scales:\n","\n"," mean_mape, std_mape = evaluate_scale(s)\n"," # menghitung performa model untuk setiap scale\n","\n"," print(f\"Scale: {round(s,4)} | MAPE: {mean_mape:.4f} | STD: {std_mape:.4f}\")\n"," # menampilkan hasil evaluasi\n","\n"," results.append((round(s,4), mean_mape))\n"," # menyimpan hasil ke list\n","\n"," if prev_mape is not None:\n"," delta = abs(prev_mape - mean_mape)\n"," # menghitung selisih perubahan MAPE antar scale\n","\n"," differences.append(delta)\n"," # menyimpan perubahan tersebut\n","\n"," if delta < tolerance:\n"," print(\"\\n Pengujian dihentikan karena perubahan sangat kecil\")\n"," break\n"," # jika perubahan sangat kecil → dianggap sudah konvergen → hentikan\n","\n"," prev_mape = mean_mape\n"," # menyimpan MAPE sekarang untuk iterasi berikutnya\n","\n"," best_scale = s\n"," # update scale terbaik sementara\n","\n","# =========================\n","# HASIL AKHIR\n","# =========================\n","print(\"\\nSCALE TERBAIK \")\n","print(f\"Scale terbaik: {round(best_scale,4)}\")\n","# menampilkan scale terbaik hasil pengujian\n","\n","print(\"\\nLIST SCALE YANG DIUJI \")\n","for r in results:\n"," print(f\"Scale: {r[0]} | MAPE: {round(r[1],4)}\")\n","# menampilkan semua hasil pengujian\n","\n","print(\"\\nSELISIH PERUBAHAN MAPE\")\n","for i, d in enumerate(differences):\n"," print(f\"Perubahan ke-{i+1}: {round(d,6)}\")\n","# menampilkan perubahan antar iterasi\n","\n","print(\"\\n Pengujian dihentikan karena perbedaan nilai antar scale terlalu kecil (perubahan tidak terlalu signifikan)\")\n","# kesimpulan bahwa nilai scale sudah konvergen"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"c--suCoNgamX","executionInfo":{"status":"ok","timestamp":1779862510073,"user_tz":-420,"elapsed":66247,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"659077c1-5ec3-44a4-fc93-15049a1b6739"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":["Scale: 1.0 | MAPE: 18.0100 | STD: 10.2404\n"]},{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":["Scale: 0.9 | MAPE: 18.1486 | STD: 10.6296\n"]},{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":["Scale: 0.8 | MAPE: 18.1074 | STD: 10.5411\n"]},{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":["Scale: 0.7 | MAPE: 18.0668 | STD: 10.4578\n"]},{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":["Scale: 0.6 | MAPE: 18.0260 | STD: 10.3782\n"]},{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":["Scale: 0.5 | MAPE: 17.9850 | STD: 10.3020\n"]},{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":["Scale: 0.4 | MAPE: 17.9529 | STD: 10.2455\n"]},{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n","INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":["Scale: 0.3 | MAPE: 17.9463 | STD: 10.2340\n","\n"," Pengujian dihentikan karena perubahan sangat kecil\n","\n","SCALE TERBAIK \n","Scale terbaik: 0.4\n","\n","LIST SCALE YANG DIUJI \n","Scale: 1.0 | MAPE: 18.01\n","Scale: 0.9 | MAPE: 18.1486\n","Scale: 0.8 | MAPE: 18.1074\n","Scale: 0.7 | MAPE: 18.0668\n","Scale: 0.6 | MAPE: 18.026\n","Scale: 0.5 | MAPE: 17.985\n","Scale: 0.4 | MAPE: 17.9529\n","Scale: 0.3 | MAPE: 17.9463\n","\n","SELISIH PERUBAHAN MAPE\n","Perubahan ke-1: 0.138505\n","Perubahan ke-2: 0.041122\n","Perubahan ke-3: 0.040642\n","Perubahan ke-4: 0.040775\n","Perubahan ke-5: 0.040988\n","Perubahan ke-6: 0.032085\n","Perubahan ke-7: 0.00667\n","\n"," Pengujian dihentikan karena perbedaan nilai antar scale terlalu kecil (perubahan tidak terlalu signifikan)\n"]}]},{"cell_type":"markdown","source":["**Uji pengujian dengan rolling origin vs split train test**"],"metadata":{"id":"nlPJ44xBg5Ll"}},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","from prophet import Prophet\n","import matplotlib.pyplot as plt\n","\n","# =========================\n","# LOAD DATA\n","# =========================\n","df = pd.read_excel('/content/drive/MyDrive/TA/data/kumpulan/Data_Latih_Prophet.xlsx')\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","df['y'] = df['jumlah']\n","df = df[['ds', 'y']].sort_values('ds')\n","\n","# =========================\n","# PARAMETER PENGETATAN\n","# =========================\n","scale = 0.4\n","# nilai scale hasil grid search terbaik\n","\n","df['pengetatan_level'] = 1.0\n","df.loc[df['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n","# =========================\n","# FUNGSI EVALUASI\n","# =========================\n","def mape_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," mask = y_true != 0\n"," return np.mean(np.abs((y_true[mask] - y_pred[mask]) / y_true[mask])) * 100\n","\n","def mae_global(y_true, y_pred):\n"," return np.mean(np.abs(np.array(y_true) - np.array(y_pred)))\n","\n","\n","# ============================================================\n","# METODE 1: SPLIT 80/20\n","# ============================================================\n","print(\"=\" * 55)\n","print(\"METODE 1: SPLIT 80/20\")\n","print(\"=\" * 55)\n","\n","split_index = int(len(df) * 0.8)\n","# menentukan titik pembagian: 80% training, 20% testing\n","\n","train_split = df.iloc[:split_index].copy()\n","# 80% data pertama sebagai data latih\n","\n","test_split = df.iloc[split_index:].copy()\n","# 20% data terakhir sebagai data uji\n","\n","print(f\"Data latih : {len(train_split)} hari ({train_split['ds'].min().date()} s/d {train_split['ds'].max().date()})\")\n","print(f\"Data uji : {len(test_split)} hari ({test_split['ds'].min().date()} s/d {test_split['ds'].max().date()})\")\n","\n","# Bangun model\n","model_split = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True,\n"," daily_seasonality=False\n",")\n","model_split.add_regressor('pengetatan_level')\n","model_split.fit(train_split)\n","\n","# Future dataframe\n","future_split = model_split.make_future_dataframe(periods=len(test_split))\n","future_split['pengetatan_level'] = 1.0\n","future_split.loc[future_split['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n","# Prediksi\n","forecast_split = model_split.predict(future_split)\n","pred_split = forecast_split[['ds', 'yhat']].tail(len(test_split))\n","pred_split['yhat'] = pred_split['yhat'].clip(lower=0)\n","\n","# Hitung error\n","mape_split = round(mape_global(test_split['y'], pred_split['yhat']), 2)\n","mae_split = round(mae_global(test_split['y'], pred_split['yhat']), 2)\n","\n","print(f\"\\nHasil:\")\n","print(f\"MAPE Split 80/20 : {mape_split}%\")\n","print(f\"MAE Split 80/20 : {mae_split}\")\n","\n","\n","# ============================================================\n","# METODE 2: ROLLING ORIGIN (EXPANDING WINDOW)\n","# ============================================================\n","print(\"\\n\" + \"=\" * 55)\n","print(\"METODE 2: ROLLING ORIGIN (EXPANDING WINDOW)\")\n","print(\"=\" * 55)\n","\n","window = 30\n","# panjang horizon prediksi (30 hari)\n","\n","step = 30\n","# pergeseran tiap iterasi (30 hari)\n","\n","all_true, all_pred = [], []\n","iterasi = 0\n","\n","for start in range(180, len(df) - window, step):\n"," train_roll = df.iloc[:start]\n"," test_roll = df.iloc[start:start + window]\n","\n"," model_roll = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True,\n"," daily_seasonality=False\n"," )\n"," model_roll.add_regressor('pengetatan_level')\n"," model_roll.fit(train_roll)\n","\n"," future_roll = model_roll.make_future_dataframe(periods=len(test_roll))\n"," future_roll['pengetatan_level'] = 1.0\n"," future_roll.loc[future_roll['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n"," forecast_roll = model_roll.predict(future_roll)\n"," pred_roll = forecast_roll['yhat'].tail(len(test_roll)).clip(lower=0)\n","\n"," all_true.extend(test_roll['y'].values)\n"," all_pred.extend(pred_roll.values)\n"," iterasi += 1\n","\n","mape_rolling = round(mape_global(all_true, all_pred), 2)\n","mae_rolling = round(mae_global(all_true, all_pred), 2)\n","\n","print(f\"Jumlah iterasi rolling : {iterasi}\")\n","print(f\"\\nHasil:\")\n","print(f\"MAPE Rolling Origin : {mape_rolling}%\")\n","print(f\"MAE Rolling Origin : {mae_rolling}\")\n","\n","\n","# ============================================================\n","# TABEL PERBANDINGAN\n","# ============================================================\n","print(\"\\n\" + \"=\" * 55)\n","print(\"TABEL PERBANDINGAN METODE EVALUASI\")\n","print(\"=\" * 55)\n","\n","hasil = pd.DataFrame({\n"," 'Metode Evaluasi' : ['Split 80/20', 'Rolling Origin'],\n"," 'Data Uji' : [f'{len(test_split)} hari ', f'~{window} hari per iterasi ({iterasi} iterasi)'],\n"," 'MAPE (%)' : [mape_split, mape_rolling],\n"," 'MAE' : [mae_split, mae_rolling],\n","})\n","print(hasil.to_string(index=False))\n","\n","print(f\"\\nSelisih MAPE : {round(abs(mape_split - mape_rolling), 2)}%\")\n","print(f\"Selisih MAE : {round(abs(mae_split - mae_rolling), 2)}\")\n","\n","if mape_rolling < mape_split:\n"," print(\"\\n Rolling Origin menghasilkan MAPE lebih rendah → lebih akurat\")\n","else:\n"," print(\"\\n Split 80/20 menghasilkan MAPE lebih rendah, namun Rolling Origin\")\n"," print(\" lebih representatif karena menguji berbagai kondisi data secara menyeluruh\")\n","\n","\n","# ============================================================\n","# VISUALISASI\n","# ============================================================\n","fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n","metode = ['Split 80/20', 'Rolling Origin']\n","warna = ['#B4B2A9', '#1D9E75']\n","\n","# Plot MAPE\n","bars1 = axes[0].bar(metode, [mape_split, mape_rolling],\n"," color=warna, width=0.4, edgecolor='white')\n","for bar, val in zip(bars1, [mape_split, mape_rolling]):\n"," axes[0].text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.2,\n"," f'{val}%', ha='center', va='bottom', fontsize=12, fontweight='bold')\n","axes[0].axhline(y=20, color='#D85A30', linestyle='--',\n"," linewidth=1, label='Batas kategori Baik (20%)')\n","axes[0].set_title('Perbandingan MAPE', fontsize=12, fontweight='bold')\n","axes[0].set_ylabel('MAPE (%)')\n","axes[0].set_ylim(0, max(mape_split, mape_rolling) * 1.35)\n","axes[0].legend(fontsize=9)\n","\n","# Plot MAE\n","bars2 = axes[1].bar(metode, [mae_split, mae_rolling],\n"," color=warna, width=0.4, edgecolor='white')\n","for bar, val in zip(bars2, [mae_split, mae_rolling]):\n"," axes[1].text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.02,\n"," f'{val}', ha='center', va='bottom', fontsize=12, fontweight='bold')\n","axes[1].set_title('Perbandingan MAE', fontsize=12, fontweight='bold')\n","axes[1].set_ylabel('MAE ')\n","axes[1].set_ylim(0, max(mae_split, mae_rolling) * 1.35)\n","\n","plt.suptitle('Perbandingan Metode Evaluasi: Split 80/20 vs Rolling Origin',\n"," fontsize=13, fontweight='bold')\n","plt.tight_layout()\n","plt.savefig('perbandingan_evaluasi.png', dpi=150, bbox_inches='tight')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"MIzIYBn_hBI3","executionInfo":{"status":"ok","timestamp":1779865665431,"user_tz":-420,"elapsed":7083,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"106caa21-af2b-4b26-9b79-f470b81cc5a2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["=======================================================\n","METODE 1: SPLIT 80/20\n","=======================================================\n","Data latih : 876 hari (2023-01-01 s/d 2025-05-25)\n","Data uji : 220 hari (2025-05-26 s/d 2025-12-31)\n","\n","Hasil:\n","MAPE Split 80/20 : 21.47%\n","MAE Split 80/20 : 3.32\n","\n","=======================================================\n","METODE 2: ROLLING ORIGIN (EXPANDING WINDOW)\n","=======================================================\n","Jumlah iterasi rolling : 30\n","\n","Hasil:\n","MAPE Rolling Origin : 16.19%\n","MAE Rolling Origin : 1.85\n","\n","=======================================================\n","TABEL PERBANDINGAN METODE EVALUASI\n","=======================================================\n","Metode Evaluasi Data Uji MAPE (%) MAE\n"," Split 80/20 220 hari 21.47 3.32\n"," Rolling Origin ~30 hari per iterasi (30 iterasi) 16.19 1.85\n","\n","Selisih MAPE : 5.28%\n","Selisih MAE : 1.47\n","\n"," Rolling Origin menghasilkan MAPE lebih rendah → lebih akurat\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 2 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["**Final Kode**"],"metadata":{"id":"3GCq2duIqkG4"}},{"cell_type":"code","source":["# =========================\n","# IMPORT LIBRARY\n","# =========================\n","import pandas as pd\n","import numpy as np\n","from prophet import Prophet\n","import matplotlib.pyplot as plt\n","\n","# =========================\n","# LOAD DATA\n","# =========================\n","df = pd.read_excel('/content/drive/MyDrive/TA/data/kumpulan/Data_Latih_Prophet.xlsx')\n","# membaca data penjualan dari excel\n","\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","# ubah kolom tanggal menjadi format datetime (wajib di Prophet)\n","\n","df['y'] = df['jumlah']\n","# kolom target yang akan diprediksi\n","\n","df = df[['ds','y']].sort_values('ds')\n","# ambil kolom penting + urutkan berdasarkan waktu\n","\n","# =========================\n","# PARAMETER PENGETATAN\n","# =========================\n","scale = 0.4\n","# nilai scaling diperoleh melalui proses pengujian scale dengan mempertimbangkan kondisi konvergensi, yaitu ketika perbedaan nilai error antar parameter sangat kecil (0,02)\n","\n","df['pengetatan_level'] = 1.0\n","# default kondisi normal (tidak ada pengetatan)\n","\n","df.loc[df['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","# setelah Oktober → gunakan scale (menandakan perubahan kondisi)\n","\n","# =========================\n","# FUNGSI EVALUASI\n","# =========================\n","\n","def mape_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," mask = y_true != 0\n"," return np.mean(np.abs((y_true[mask]-y_pred[mask])/y_true[mask])) * 100\n","\n","\n","def mae_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," return np.mean(np.abs(y_true - y_pred))\n","\n","# =========================\n","# PARAMETER ROLLING\n","# =========================\n","window = 30\n","# panjang prediksi (30 hari = 1 bulan)\n","\n","step = 30\n","# pergeseran tiap iterasi (30 hari)\n","\n","# =========================\n","# PENAMPUNG HASIL\n","# =========================\n","all_true = [] # data asli\n","all_pred = [] # hasil prediksi\n","all_lower = [] # batas bawah\n","all_upper = [] # batas atas\n","all_dates = [] # tanggal\n","\n","# =========================\n","# ROLLING FORECASTING\n","# =========================\n","\n","window = 30\n","step = 30\n","\n","for start in range(180, len(df)-window, step):\n","\n"," train = df.iloc[:start]\n","\n"," test = df.iloc[start:start+window]\n","\n"," # =========================\n"," # MODEL\n"," # =========================\n"," model = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True, # aktifkan pola mingguan\n"," daily_seasonality=False\n"," )\n","\n"," model.add_regressor('pengetatan_level')\n"," # tambahkan variabel pengetatan agar model tahu ada perubahan kondisi\n","\n"," model.fit(train)\n"," # latih model dengan data training\n","\n"," # =========================\n"," # FUTURE (DATA MASA DEPAN)\n"," # =========================\n"," future = model.make_future_dataframe(periods=len(test))\n"," # membuat tanggal ke depan sebanyak data test (30 hari)\n","\n"," future['pengetatan_level'] = 1.0\n"," # default kondisi normal\n","\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n"," # setelah Oktober → pakai scale\n","\n"," # =========================\n"," # PREDIKSI\n"," # =========================\n"," forecast = model.predict(future)\n"," # hasil prediksi\n","\n"," # =========================\n"," # POST-PROCESSING\n"," # =========================\n"," forecast[['yhat','yhat_lower','yhat_upper']] = forecast[['yhat','yhat_lower','yhat_upper']].clip(lower=0)\n"," # tidak boleh negatif (karena penjualan tidak mungkin minus)\n","\n"," forecast['yhat'] = forecast['yhat'].round(0).astype(int)\n"," forecast['yhat_lower'] = forecast['yhat_lower'].round(0).astype(int)\n"," forecast['yhat_upper'] = forecast['yhat_upper'].round(0).astype(int)\n"," # dibulatkan karena penjualan = angka bulat\n","\n"," pred = forecast[['ds','yhat','yhat_lower','yhat_upper']].tail(len(test))\n"," # ambil hanya bagian test (30 hari terakhir)\n","\n"," # =========================\n"," # SIMPAN HASIL\n"," # =========================\n"," all_true.extend(test['y'].values)\n"," # simpan nilai asli\n","\n"," all_pred.extend(pred['yhat'].values)\n"," # simpan hasil prediksi\n","\n"," all_lower.extend(pred['yhat_lower'].values)\n"," # simpan batas bawah\n","\n"," all_upper.extend(pred['yhat_upper'].values)\n"," # simpan batas atas\n","\n"," all_dates.extend(pred['ds'].values)\n"," # simpan tanggal\n","\n","# =========================\n","# HASIL AKHIR EVALUASI\n","# =========================\n","mape_final = mape_global(all_true, all_pred)\n","# hitung MAPE global\n","\n","mae_final = mae_global(all_true, all_pred)\n","# hitung MAE global\n","\n","print(f\"HASIL MAPE DAN MAE :\")\n","\n","print(f\"MAPE : {round(mape_final,2)}%\")\n","# tampilkan MAPE\n","\n","print(f\"MAE : {(round(mae_final,2))}\")\n","# tampilkan MAE\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bIrlWfuFo9GQ","executionInfo":{"status":"ok","timestamp":1779772978241,"user_tz":-420,"elapsed":9062,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"bcd3f6df-6ec4-4bed-8a59-6d3580d008b1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["HASIL MAPE DAN MAE :\n","MAPE : 16.18%\n","MAE : 1.84\n"]}]},{"cell_type":"markdown","source":["**Perbandingan Dengan Scale dan tanpa scale**"],"metadata":{"id":"vuWqoGSG-E0y"}},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","from prophet import Prophet\n","import matplotlib.pyplot as plt\n","\n","# =========================\n","# LOAD DATA\n","# =========================\n","df = pd.read_excel('/content/drive/MyDrive/TA/data/kumpulan/Data_Latih_Prophet.xlsx')\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","df['y'] = df['jumlah']\n","df = df[['ds', 'y']].sort_values('ds')\n","\n","# =========================\n","# FUNGSI EVALUASI\n","# =========================\n","def mape_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," mask = y_true != 0\n"," return np.mean(np.abs((y_true[mask] - y_pred[mask]) / y_true[mask])) * 100\n","\n","def mae_global(y_true, y_pred):\n"," return np.mean(np.abs(np.array(y_true) - np.array(y_pred)))\n","\n","# =========================\n","# FUNGSI ROLLING ORIGIN\n","# =========================\n","def rolling_evaluation(df_input, use_regressor=False, scale=0.4):\n"," \"\"\"\n"," Jalankan rolling origin evaluation.\n"," - use_regressor : apakah menambahkan pengetatan_level\n"," - scale : nilai scale pengetatan (hanya dipakai jika use_regressor=True)\n"," \"\"\"\n"," df_eval = df_input.copy()\n","\n"," if use_regressor:\n"," df_eval['pengetatan_level'] = 1.0\n"," df_eval.loc[df_eval['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n"," window = 30\n"," step = 30\n"," all_true, all_pred = [], []\n","\n"," for start in range(180, len(df_eval) - window, step):\n"," train = df_eval.iloc[:start]\n"," test = df_eval.iloc[start:start + window]\n","\n"," model = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True,\n"," daily_seasonality=False\n"," )\n","\n"," if use_regressor:\n"," model.add_regressor('pengetatan_level')\n","\n"," model.fit(train)\n","\n"," future = model.make_future_dataframe(periods=len(test))\n","\n"," if use_regressor:\n"," future['pengetatan_level'] = 1.0\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n"," forecast = model.predict(future)\n"," pred = forecast['yhat'].tail(len(test)).clip(lower=0)\n","\n"," all_true.extend(test['y'].values)\n"," all_pred.extend(pred.values)\n","\n"," mape = mape_global(all_true, all_pred)\n"," mae = mae_global(all_true, all_pred)\n","\n"," return round(mape, 2), round(mae, 2)\n","\n","\n","# =========================\n","# EVALUASI BASELINE & OPTIMIZED\n","# =========================\n","print(\">>> Mengevaluasi model BASELINE (tanpa regressor pengetatan)...\")\n","mape_baseline, mae_baseline = rolling_evaluation(df, use_regressor=False)\n","print(f\" MAPE: {mape_baseline}% | MAE: {mae_baseline}\")\n","\n","print(\"\\n>>> Mengevaluasi model OPTIMIZED (regressor pengetatan, scale=0.4)...\")\n","mape_optimized, mae_optimized = rolling_evaluation(df, use_regressor=True, scale=0.4)\n","print(f\" MAPE: {mape_optimized}% | MAE: {mae_optimized}\")\n","\n","# =========================\n","# TABEL PERBANDINGAN\n","# =========================\n","print(\"\\n--- Tabel Perbandingan Baseline vs Optimized ---\")\n","hasil = pd.DataFrame({\n"," 'Skenario Model' : ['Baseline (tanpa pengetatan)', 'Optimized (scale=0.4)'],\n"," 'Regressor' : ['Tidak', 'Ya'],\n"," 'MAPE (%)' : [mape_baseline, mape_optimized],\n"," 'MAE' : [mae_baseline, mae_optimized],\n","})\n","print(hasil.to_string(index=False))\n","\n","peningkatan_mape = round(mape_baseline - mape_optimized, 2)\n","peningkatan_mae = round(mae_baseline - mae_optimized, 2)\n","print(f\"\\nPeningkatan MAPE : {peningkatan_mape}% (turun)\")\n","print(f\"Peningkatan MAE : {peningkatan_mae} tabung (turun)\")\n","\n","# =========================\n","# VISUALISASI\n","# =========================\n","fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n","skenario = ['Baseline\\n(tanpa pengetatan)', 'Optimized\\n(scale=0.4)']\n","warna = ['#B4B2A9', '#1D9E75']\n","\n","# Plot MAPE\n","bars1 = axes[0].bar(skenario, [mape_baseline, mape_optimized],\n"," color=warna, width=0.4, edgecolor='white')\n","for bar, val in zip(bars1, [mape_baseline, mape_optimized]):\n"," axes[0].text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.2,\n"," f'{val}%', ha='center', va='bottom', fontsize=12, fontweight='bold')\n","axes[0].axhline(y=20, color='#D85A30', linestyle='--', linewidth=1,\n"," label='Batas kategori Baik (20%)')\n","axes[0].set_title('Perbandingan MAPE', fontsize=12, fontweight='bold')\n","axes[0].set_ylabel('MAPE (%)')\n","axes[0].set_ylim(0, max(mape_baseline, mape_optimized) * 1.35)\n","axes[0].legend(fontsize=9)\n","\n","# Plot MAE\n","bars2 = axes[1].bar(skenario, [mae_baseline, mae_optimized],\n"," color=warna, width=0.4, edgecolor='white')\n","for bar, val in zip(bars2, [mae_baseline, mae_optimized]):\n"," axes[1].text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.02,\n"," f'{val}', ha='center', va='bottom', fontsize=12, fontweight='bold')\n","axes[1].set_title('Perbandingan MAE', fontsize=12, fontweight='bold')\n","axes[1].set_ylabel('MAE')\n","axes[1].set_ylim(0, max(mae_baseline, mae_optimized) * 1.35)\n","\n","plt.suptitle('Perbandingan Model Baseline vs Optimized\\n(Rolling Origin Evaluation)',\n"," fontsize=13, fontweight='bold')\n","plt.tight_layout()\n","plt.savefig('perbandingan_baseline_optimized.png', dpi=150, bbox_inches='tight')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":747},"id":"AZ-18Ao29xTC","executionInfo":{"status":"ok","timestamp":1779861670708,"user_tz":-420,"elapsed":10091,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"1043510f-addc-42e5-de3a-3e7c813f68ed"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":[">>> Mengevaluasi model BASELINE (tanpa regressor pengetatan)...\n"," MAPE: 19.21% | MAE: 2.58\n","\n",">>> Mengevaluasi model OPTIMIZED (regressor pengetatan, scale=0.4)...\n"," MAPE: 19.46% | MAE: 2.58\n","\n","--- Tabel Perbandingan Baseline vs Optimized ---\n"," Skenario Model Regressor MAPE (%) MAE (tabung)\n","Baseline (tanpa pengetatan) Tidak 19.21 2.58\n"," Optimized (scale=0.4) Ya 19.46 2.58\n","\n","Peningkatan MAPE : -0.25% (turun)\n","Peningkatan MAE : 0.0 tabung (turun)\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# Evaluasi HANYA pada data setelah Oktober 2025\n","def rolling_evaluation_pengetatan(df_input, use_regressor=False, scale=0.4):\n"," df_eval = df_input.copy()\n","\n"," if use_regressor:\n"," df_eval['pengetatan_level'] = 1.0\n"," df_eval.loc[df_eval['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n"," # Titik awal = tepat sebelum Oktober 2025\n"," idx_oktober = df_eval[df_eval['ds'] >= '2025-10-01'].index[0]\n"," start_pos = df_eval.index.get_loc(idx_oktober)\n","\n"," window = 30\n"," step = 30\n"," all_true, all_pred = [], []\n","\n"," for start in range(start_pos, len(df_eval) - window, step):\n"," train = df_eval.iloc[:start]\n"," test = df_eval.iloc[start:start + window]\n","\n"," model = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True,\n"," daily_seasonality=False\n"," )\n","\n"," if use_regressor:\n"," model.add_regressor('pengetatan_level')\n","\n"," model.fit(train)\n","\n"," future = model.make_future_dataframe(periods=len(test))\n"," if use_regressor:\n"," future['pengetatan_level'] = 1.0\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n"," forecast = model.predict(future)\n"," pred = forecast['yhat'].tail(len(test)).clip(lower=0)\n","\n"," all_true.extend(test['y'].values)\n"," all_pred.extend(pred.values)\n","\n"," mape = mape_global(all_true, all_pred)\n"," mae = mae_global(all_true, all_pred)\n"," return round(mape, 2), round(mae, 2)\n","\n","\n","# Bandingkan khusus periode pengetatan\n","print(\">>> Evaluasi KHUSUS periode setelah Oktober 2025\")\n","mape_b, mae_b = rolling_evaluation_pengetatan(df, use_regressor=False)\n","mape_o, mae_o = rolling_evaluation_pengetatan(df, use_regressor=True, scale=0.4)\n","\n","print(f\"Baseline → MAPE: {mape_b}% | MAE: {mae_b}\")\n","print(f\"Optimized → MAPE: {mape_o}% | MAE: {mae_o}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ZcYYudNR_QNB","executionInfo":{"status":"ok","timestamp":1779861100820,"user_tz":-420,"elapsed":2504,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"c0c190db-c1e1-447b-ab41-03b852cf3333"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":[">>> Evaluasi KHUSUS periode setelah Oktober 2025\n","Baseline → MAPE: 48.0% | MAE: 6.23\n","Optimized → MAPE: 47.95% | MAE: 5.88\n"]}]},{"cell_type":"code","source":["print(f\"Data setelah Oktober 2025: {len(df[df['ds'] >= '2025-10-01'])} hari\")\n","print(f\"Jumlah iterasi rolling di pengetatan: {len(df[df['ds'] >= '2025-10-01']) // 30}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"awj-BJ8p_cfg","executionInfo":{"status":"ok","timestamp":1779861149732,"user_tz":-420,"elapsed":27,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"d5175b80-aee1-4d01-bb1b-20637c4b20f8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Data setelah Oktober 2025: 92 hari\n","Jumlah iterasi rolling di pengetatan: 3\n"]}]},{"cell_type":"markdown","source":["**Visualisasi Model**"],"metadata":{"id":"-js9UvCY-YhX"}},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","from prophet import Prophet\n","import matplotlib.pyplot as plt\n","import matplotlib.dates as mdates\n","\n","# =========================\n","# LOAD DATA\n","# =========================\n","df = pd.read_excel('/content/drive/MyDrive/TA/data/kumpulan/Data_Latih_Prophet.xlsx')\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","df['y'] = df['jumlah']\n","df = df[['ds', 'y']].sort_values('ds')\n","\n","# =========================\n","# PARAMETER PENGETATAN\n","# =========================\n","scale = 0.4\n","# nilai scale terbaik hasil grid search\n","\n","df['pengetatan_level'] = 1.0\n","df.loc[df['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n","# =========================\n","# FUNGSI EVALUASI\n","# =========================\n","def mape_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," mask = y_true != 0\n"," return np.mean(np.abs((y_true[mask] - y_pred[mask]) / y_true[mask])) * 100\n","\n","def mae_global(y_true, y_pred):\n"," return np.mean(np.abs(np.array(y_true) - np.array(y_pred)))\n","\n","# =========================\n","# ROLLING ORIGIN — KUMPULKAN SEMUA HASIL\n","# =========================\n","window = 30\n","step = 30\n","\n","all_true, all_pred = [], []\n","all_lower, all_upper = [], []\n","all_dates = []\n","\n","for start in range(180, len(df) - window, step):\n"," train = df.iloc[:start]\n"," test = df.iloc[start:start + window]\n","\n"," model = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True,\n"," daily_seasonality=False\n"," )\n"," model.add_regressor('pengetatan_level')\n"," model.fit(train)\n","\n"," future = model.make_future_dataframe(periods=len(test))\n"," future['pengetatan_level'] = 1.0\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n"," forecast = model.predict(future)\n","\n"," pred = forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail(len(test))\n"," pred = pred.copy()\n"," pred['yhat'] = pred['yhat'].clip(lower=0).round(0)\n"," pred['yhat_lower'] = pred['yhat_lower'].clip(lower=0).round(0)\n"," pred['yhat_upper'] = pred['yhat_upper'].clip(lower=0).round(0)\n","\n"," all_true.extend(test['y'].values)\n"," all_pred.extend(pred['yhat'].values)\n"," all_lower.extend(pred['yhat_lower'].values)\n"," all_upper.extend(pred['yhat_upper'].values)\n"," all_dates.extend(pred['ds'].values)\n","\n","# Buat dataframe hasil rolling\n","df_hasil = pd.DataFrame({\n"," 'ds' : pd.to_datetime(all_dates),\n"," 'aktual' : all_true,\n"," 'prediksi' : all_pred,\n"," 'batas_bawah': all_lower,\n"," 'batas_atas' : all_upper,\n","})\n","\n","# Hitung error\n","mape_final = round(mape_global(all_true, all_pred), 2)\n","mae_final = round(mae_global(all_true, all_pred), 2)\n","\n","print(f\"MAPE : {mape_final}%\")\n","print(f\"MAE : {mae_final}\")\n","\n","# =========================\n","# VISUALISASI\n","# =========================\n","fig, axes = plt.subplots(2, 1, figsize=(14, 10))\n","\n","# -------------------------------------------------------\n","# PLOT 1: KESELURUHAN — Aktual vs Prediksi\n","# -------------------------------------------------------\n","ax1 = axes[0]\n","\n","ax1.fill_between(df_hasil['ds'], df_hasil['batas_bawah'], df_hasil['batas_atas'],\n"," alpha=0.2, color='#378ADD', label='Rentang Prediksi (batas bawah - atas)')\n","\n","ax1.plot(df_hasil['ds'], df_hasil['aktual'],\n"," color='#2C2C2A', linewidth=1.2, label='Data Aktual', zorder=3)\n","\n","ax1.plot(df_hasil['ds'], df_hasil['prediksi'],\n"," color='#1D9E75', linewidth=1.5, linestyle='--',\n"," label='Prediksi Prophet', zorder=4)\n","\n","# Garis pengetatan Oktober 2025\n","ax1.axvline(pd.Timestamp('2025-10-01'), color='#D85A30', linestyle='--',\n"," linewidth=1.5, label='Regulasi Oktober 2025', zorder=5)\n","ax1.text(pd.Timestamp('2025-10-01'), ax1.get_ylim()[1] * 0.95,\n"," ' Okt 2025', color='#D85A30', fontsize=9, va='top')\n","\n","ax1.set_title('Perbandingan Data Aktual vs Prediksi Prophet (Rolling Origin)',\n"," fontsize=12, fontweight='bold', pad=10)\n","ax1.set_xlabel('Tanggal')\n","ax1.set_ylabel('Jumlah Penjualan (tabung)')\n","ax1.legend(fontsize=9, loc='upper left')\n","ax1.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))\n","ax1.xaxis.set_major_locator(mdates.MonthLocator(interval=2))\n","plt.setp(ax1.xaxis.get_majorticklabels(), rotation=30, ha='right')\n","ax1.grid(True, alpha=0.3)\n","\n","# Tambahkan anotasi MAPE dan MAE\n","ax1.annotate(f'MAPE: {mape_final}%\\nMAE: {mae_final} tabung',\n"," xy=(0.98, 0.05), xycoords='axes fraction',\n"," fontsize=10, ha='right', va='bottom',\n"," bbox=dict(boxstyle='round,pad=0.4', facecolor='white',\n"," edgecolor='#B4B2A9', alpha=0.8))\n","\n","# -------------------------------------------------------\n","# PLOT 2: ZOOM — Periode Pengetatan (Oktober 2025 dst)\n","# -------------------------------------------------------\n","ax2 = axes[1]\n","\n","df_pengetatan = df_hasil[df_hasil['ds'] >= '2025-10-01'].copy()\n","\n","if len(df_pengetatan) > 0:\n"," ax2.fill_between(df_pengetatan['ds'],\n"," df_pengetatan['batas_bawah'], df_pengetatan['batas_atas'],\n"," alpha=0.2, color='#378ADD', label='Rentang Prediksi (batas bawah - atas)')\n","\n"," ax2.plot(df_pengetatan['ds'], df_pengetatan['aktual'],\n"," color='#2C2C2A', linewidth=1.5, marker='o', markersize=4,\n"," label='Data Aktual', zorder=3)\n","\n"," ax2.plot(df_pengetatan['ds'], df_pengetatan['prediksi'],\n"," color='#1D9E75', linewidth=1.5, linestyle='--', marker='s', markersize=4,\n"," label='Prediksi Prophet', zorder=4)\n","\n"," ax2.set_title('Zoom: Periode Setelah Regulasi Pengetatan (Oktober 2025 - sekarang)',\n"," fontsize=12, fontweight='bold', pad=10)\n"," ax2.set_xlabel('Tanggal')\n"," ax2.set_ylabel('Jumlah Penjualan (tabung)')\n"," ax2.legend(fontsize=9, loc='upper left')\n"," ax2.xaxis.set_major_formatter(mdates.DateFormatter('%d %b %Y'))\n"," ax2.xaxis.set_major_locator(mdates.WeekdayLocator(interval=2))\n"," plt.setp(ax2.xaxis.get_majorticklabels(), rotation=30, ha='right')\n"," ax2.grid(True, alpha=0.3)\n","\n"," # Hitung MAPE khusus periode pengetatan\n"," mape_pengetatan = round(mape_global(\n"," df_pengetatan['aktual'], df_pengetatan['prediksi']), 2)\n"," mae_pengetatan = round(mae_global(\n"," df_pengetatan['aktual'], df_pengetatan['prediksi']), 2)\n","\n"," ax2.annotate(f'MAPE Pengetatan: {mape_pengetatan}%\\nMAE Pengetatan: {mae_pengetatan} tabung',\n"," xy=(0.98, 0.05), xycoords='axes fraction',\n"," fontsize=10, ha='right', va='bottom',\n"," bbox=dict(boxstyle='round,pad=0.4', facecolor='white',\n"," edgecolor='#B4B2A9', alpha=0.8))\n","else:\n"," ax2.text(0.5, 0.5, 'Data periode pengetatan belum tersedia',\n"," ha='center', va='center', transform=ax2.transAxes,\n"," fontsize=12, color='gray')\n","\n","plt.suptitle('Evaluasi Model Prophet — Prediksi Jumlah Stok LPG 3 Kg',\n"," fontsize=13, fontweight='bold', y=1.01)\n","plt.tight_layout()\n","plt.savefig('visualisasi_prediksi_aktual.png', dpi=150, bbox_inches='tight')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":948},"id":"R8mEKnH7-epB","executionInfo":{"status":"ok","timestamp":1779863364906,"user_tz":-420,"elapsed":12023,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"2b0f465c-c2dc-4978-86fa-e37bf6239771"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["MAPE : 16.18%\n","MAE : 1.84 tabung\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1400x1000 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["**Hypertunning Gridsearch**"],"metadata":{"id":"uhSmcfiGi8Fh"}},{"cell_type":"code","source":["# ==============================================================================\n","# IMPORT LIBRARY\n","# ==============================================================================\n","import pandas as pd\n","import numpy as np\n","from prophet import Prophet\n","import itertools\n","import time\n","\n","# ==============================================================================\n","# 1. LOAD & PREPROCESSING DATA\n","# ==============================================================================\n","# Membaca data penjualan pangkalan (Sesuaikan path file di Drive-mu)\n","path_data = '/content/drive/MyDrive/TA/data/kumpulan/Data_Latih_Prophet.xlsx'\n","df = pd.read_excel(path_data)\n","\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","df['y'] = df['jumlah']\n","df = df[['ds', 'y']].sort_values('ds').reset_index(drop=True)\n","\n","# ==============================================================================\n","# 2. DEFINISI FUNGSI EVALUASI (SINKRON DENGAN LOGIKA BISNIS)\n","# ==============================================================================\n","def mape_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," mask = y_true != 0 # Menghindari pembagian dengan nol saat hari Minggu\n"," return np.mean(np.abs((y_true[mask] - y_pred[mask]) / y_true[mask])) * 100\n","\n","def evaluate_prophet_grid(df_data, cp_scale, seas_scale, reg_scale):\n"," \"\"\"\n"," Fungsi untuk mengevaluasi kombinasi parameter menggunakan Rolling Forecast\n"," \"\"\"\n"," df_copy = df_data.copy()\n","\n"," # Membuat fitur regressor pengetatan_level berdasarkan kandidat reg_scale\n"," df_copy['pengetatan_level'] = 1.0\n"," df_copy.loc[df_copy['ds'] >= '2025-10-01', 'pengetatan_level'] = reg_scale\n","\n"," window = 30\n"," step = 30\n"," all_true = []\n"," all_pred = []\n","\n"," # Skema Expanding Window Cross Validation\n"," for start in range(180, len(df_copy) - window, step):\n"," train = df_copy.iloc[:start]\n"," test = df_copy.iloc[start:start+window]\n","\n"," # Inisialisasi model dengan kombinasi hyperparameter\n"," model = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True,\n"," daily_seasonality=False,\n"," changepoint_prior_scale=cp_scale,\n"," seasonality_prior_scale=seas_scale\n"," )\n","\n"," model.add_regressor('pengetatan_level')\n"," model.fit(train)\n","\n"," # Pembuatan Future Dataframe\n"," future = model.make_future_dataframe(periods=len(test))\n"," future['pengetatan_level'] = 1.0\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = reg_scale\n","\n"," # Prediksi\n"," forecast = model.predict(future)\n","\n"," # POST-PROCESSING (Logika Riil Bisnis: Minggu = 0 & Batas Bawah 0)\n"," forecast['ds_dt'] = pd.to_datetime(forecast['ds'])\n"," is_sunday = forecast['ds_dt'].dt.dayofweek == 6\n"," forecast.loc[is_sunday, ['yhat']] = 0\n"," forecast['yhat'] = forecast['yhat'].clip(lower=0)\n"," forecast['yhat'] = forecast['yhat'].round(0).astype(int)\n","\n"," # Mengambil hasil akhir untuk dievaluasi\n"," pred = forecast[['ds', 'yhat']].tail(len(test))\n","\n"," all_true.extend(test['y'].values)\n"," all_pred.extend(pred['yhat'].values)\n","\n"," # Menghitung skor akurasi global untuk kombinasi ini\n"," score_mape = mape_global(all_true, all_pred)\n"," return score_mape\n","\n","# ==============================================================================\n","# 3. KANDIDAT PARAMETER GRID SEARCH\n","# ==============================================================================\n","param_grid = {\n"," 'changepoint_prior_scale': [0.01, 0.05, 0.1, 0.25], # Menguji fleksibilitas tren (Default: 0.05)\n"," 'seasonality_prior_scale': [0.1, 1.0, 10.0], # Menguji fleksibilitas musiman (Default: 10.0)\n"," 'regressor_scale': [0.3, 0.4, 0.5] # Menguji bobot skala regulasi pengetatanmu\n","}\n","\n","# Membuat kombinasi matriks (Kombinasi total: 4 x 3 x 3 = 36 iterasi)\n","all_params = [dict(zip(param_grid.keys(), v)) for v in itertools.product(*param_grid.values())]\n","\n","# ==============================================================================\n","# 4. PROSES EKSEKUSI GRID SEARCH\n","# ==============================================================================\n","print(head_msg := f\"=== MEMULAI HYPERPARAMETER TUNING GRID SEARCH ===\")\n","print(f\"Total Kombinasi yang Akan Diuji: {len(all_params)} Kombinasi\\n\")\n","\n","results = []\n","start_time = time.time()\n","\n","for i, params in enumerate(all_params):\n"," iter_start = time.time()\n","\n"," # Menjalankan evaluasi untuk kombinasi ke-i\n"," mape_score = evaluate_prophet_grid(\n"," df_data=df,\n"," cp_scale=params['changepoint_prior_scale'],\n"," seas_scale=params['seasonality_prior_scale'],\n"," reg_scale=params['regressor_scale']\n"," )\n","\n"," iter_end = time.time()\n"," print(f\"Iterasi {i+1}/{len(all_params)} | \"\n"," f\"CP: {params['changepoint_prior_scale']} | \"\n"," f\"Seasonality: {params['seasonality_prior_scale']} | \"\n"," f\"Reg Scale: {params['regressor_scale']} | \"\n"," f\"-> MAPE: {mape_score:.2f}% | Waktu: {iter_end - iter_start:.1f}s\")\n","\n"," # Menyimpan hasil komponen ke dalam list\n"," results.append({\n"," 'changepoint_prior_scale': params['changepoint_prior_scale'],\n"," 'seasonality_prior_scale': params['seasonality_prior_scale'],\n"," 'regressor_scale': params['regressor_scale'],\n"," 'MAPE': mape_score\n"," })\n","\n","# Convert hasil akhir ke Dataframe agar mudah diurutkan\n","df_results = pd.DataFrame(results)\n","df_results_sorted = df_results.sort_values(by='MAPE').reset_index(drop=True)\n","\n","total_duration = time.time() - start_time\n","print(f\"\\n=== PROSES SELESAI DALAM {total_duration/60:.2f} MENIT ===\")\n","\n","# ==============================================================================\n","# 5. MENAMPILKAN HASIL TERBAIK\n","# ==============================================================================\n","print(\"\\n 5 KOMBINASI PARAMETER TERBAIK \")\n","print(df_results_sorted.head(5).to_string(index=False))\n","\n","print(\"\\n KESIMPULAN\")\n","best_row = df_results_sorted.iloc[0]\n","print(f\"Kombinasi terbaik menghasilkan MAPE terkecil sebesar {best_row['MAPE']:.2f}% dengan pengaturan:\")\n","print(f\"- changepoint_prior_scale : {best_row['changepoint_prior_scale']}\")\n","print(f\"- seasonality_prior_scale : {best_row['seasonality_prior_scale']}\")\n","print(f\"- regressor_scale (ratio) : {best_row['regressor_scale']}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yeoh1OUBjfUZ","executionInfo":{"status":"ok","timestamp":1779971573396,"user_tz":-420,"elapsed":264125,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"4c664d43-275a-45ed-ee65-872baec00277"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["=== MEMULAI HYPERPARAMETER TUNING GRID SEARCH ===\n","Total Kombinasi yang Akan Diuji: 36 Kombinasi\n","\n","Iterasi 1/36 | CP: 0.01 | Seasonality: 0.1 | Reg Scale: 0.3 | -> MAPE: 17.64% | Waktu: 13.0s\n","Iterasi 2/36 | CP: 0.01 | Seasonality: 0.1 | Reg Scale: 0.4 | -> MAPE: 17.68% | Waktu: 7.0s\n","Iterasi 3/36 | CP: 0.01 | Seasonality: 0.1 | Reg Scale: 0.5 | -> MAPE: 17.70% | Waktu: 7.1s\n","Iterasi 4/36 | CP: 0.01 | Seasonality: 1.0 | Reg Scale: 0.3 | -> MAPE: 17.76% | Waktu: 5.9s\n","Iterasi 5/36 | CP: 0.01 | Seasonality: 1.0 | Reg Scale: 0.4 | -> MAPE: 17.76% | Waktu: 7.5s\n","Iterasi 6/36 | CP: 0.01 | Seasonality: 1.0 | Reg Scale: 0.5 | -> MAPE: 17.82% | Waktu: 6.0s\n","Iterasi 7/36 | CP: 0.01 | Seasonality: 10.0 | Reg Scale: 0.3 | -> MAPE: 17.64% | Waktu: 7.3s\n","Iterasi 8/36 | CP: 0.01 | Seasonality: 10.0 | Reg Scale: 0.4 | -> MAPE: 17.68% | Waktu: 5.9s\n","Iterasi 9/36 | CP: 0.01 | Seasonality: 10.0 | Reg Scale: 0.5 | -> MAPE: 17.71% | Waktu: 7.3s\n","Iterasi 10/36 | CP: 0.05 | Seasonality: 0.1 | Reg Scale: 0.3 | -> MAPE: 17.68% | Waktu: 6.1s\n","Iterasi 11/36 | CP: 0.05 | Seasonality: 0.1 | Reg Scale: 0.4 | -> MAPE: 17.76% | Waktu: 7.0s\n","Iterasi 12/36 | CP: 0.05 | Seasonality: 0.1 | Reg Scale: 0.5 | -> MAPE: 17.77% | Waktu: 6.5s\n","Iterasi 13/36 | CP: 0.05 | Seasonality: 1.0 | Reg Scale: 0.3 | -> MAPE: 17.70% | Waktu: 7.0s\n","Iterasi 14/36 | CP: 0.05 | Seasonality: 1.0 | Reg Scale: 0.4 | -> MAPE: 17.77% | Waktu: 6.9s\n","Iterasi 15/36 | CP: 0.05 | Seasonality: 1.0 | Reg Scale: 0.5 | -> MAPE: 17.76% | Waktu: 6.4s\n","Iterasi 16/36 | CP: 0.05 | Seasonality: 10.0 | Reg Scale: 0.3 | -> MAPE: 17.64% | Waktu: 7.6s\n","Iterasi 17/36 | CP: 0.05 | Seasonality: 10.0 | Reg Scale: 0.4 | -> MAPE: 17.72% | Waktu: 6.2s\n","Iterasi 18/36 | CP: 0.05 | Seasonality: 10.0 | Reg Scale: 0.5 | -> MAPE: 17.74% | Waktu: 7.4s\n","Iterasi 19/36 | CP: 0.1 | Seasonality: 0.1 | Reg Scale: 0.3 | -> MAPE: 17.72% | Waktu: 6.3s\n","Iterasi 20/36 | CP: 0.1 | Seasonality: 0.1 | Reg Scale: 0.4 | -> MAPE: 17.74% | Waktu: 7.6s\n","Iterasi 21/36 | CP: 0.1 | Seasonality: 0.1 | Reg Scale: 0.5 | -> MAPE: 17.79% | Waktu: 8.6s\n","Iterasi 22/36 | CP: 0.1 | Seasonality: 1.0 | Reg Scale: 0.3 | -> MAPE: 17.71% | Waktu: 7.2s\n","Iterasi 23/36 | CP: 0.1 | Seasonality: 1.0 | Reg Scale: 0.4 | -> MAPE: 17.74% | Waktu: 6.2s\n","Iterasi 24/36 | CP: 0.1 | Seasonality: 1.0 | Reg Scale: 0.5 | -> MAPE: 17.78% | Waktu: 7.9s\n","Iterasi 25/36 | CP: 0.1 | Seasonality: 10.0 | Reg Scale: 0.3 | -> MAPE: 17.74% | Waktu: 6.3s\n","Iterasi 26/36 | CP: 0.1 | Seasonality: 10.0 | Reg Scale: 0.4 | -> MAPE: 17.76% | Waktu: 7.6s\n","Iterasi 27/36 | CP: 0.1 | Seasonality: 10.0 | Reg Scale: 0.5 | -> MAPE: 17.80% | Waktu: 6.3s\n","Iterasi 28/36 | CP: 0.25 | Seasonality: 0.1 | Reg Scale: 0.3 | -> MAPE: 17.91% | Waktu: 7.8s\n","Iterasi 29/36 | CP: 0.25 | Seasonality: 0.1 | Reg Scale: 0.4 | -> MAPE: 17.93% | Waktu: 6.5s\n","Iterasi 30/36 | CP: 0.25 | Seasonality: 0.1 | Reg Scale: 0.5 | -> MAPE: 18.00% | Waktu: 8.5s\n","Iterasi 31/36 | CP: 0.25 | Seasonality: 1.0 | Reg Scale: 0.3 | -> MAPE: 17.92% | Waktu: 6.5s\n","Iterasi 32/36 | CP: 0.25 | Seasonality: 1.0 | Reg Scale: 0.4 | -> MAPE: 17.91% | Waktu: 7.8s\n","Iterasi 33/36 | CP: 0.25 | Seasonality: 1.0 | Reg Scale: 0.5 | -> MAPE: 17.97% | Waktu: 6.6s\n","Iterasi 34/36 | CP: 0.25 | Seasonality: 10.0 | Reg Scale: 0.3 | -> MAPE: 17.98% | Waktu: 7.9s\n","Iterasi 35/36 | CP: 0.25 | Seasonality: 10.0 | Reg Scale: 0.4 | -> MAPE: 18.00% | Waktu: 6.5s\n","Iterasi 36/36 | CP: 0.25 | Seasonality: 10.0 | Reg Scale: 0.5 | -> MAPE: 18.06% | Waktu: 7.9s\n","\n","=== PROSES SELESAI DALAM 4.30 MENIT ===\n","\n"," 5 KOMBINASI PARAMETER TERBAIK \n"," changepoint_prior_scale seasonality_prior_scale regressor_scale MAPE\n"," 0.01 0.1 0.3 17.638170\n"," 0.05 10.0 0.3 17.643793\n"," 0.01 10.0 0.3 17.644206\n"," 0.01 0.1 0.4 17.678106\n"," 0.05 0.1 0.3 17.680529\n","\n"," KESIMPULAN\n","Kombinasi terbaik menghasilkan MAPE terkecil sebesar 17.64% dengan pengaturan:\n","- changepoint_prior_scale : 0.01\n","- seasonality_prior_scale : 0.1\n","- regressor_scale (ratio) : 0.3\n"]}]},{"cell_type":"markdown","source":["**Prediksi dan Visualisasi selama 30 hari kedepan**"],"metadata":{"id":"ifw4U5wq-fJA"}},{"cell_type":"code","source":["# =========================\n","# FORECAST 30 HARI KE DEPAN\n","# =========================\n","\n","# gunakan seluruh data untuk training (bukan rolling lagi)\n","model_final = Prophet(\n"," weekly_seasonality=True,\n"," changepoint_prior_scale=0.1,\n"," interval_width=0.95\n",")\n","\n","model_final.add_regressor('pengetatan_level')\n","model_final.fit(df)\n","\n","# buat future 30 hari\n","future_30 = model_final.make_future_dataframe(periods=30)\n","\n","# isi regressor\n","future_30['pengetatan_level'] = 1.0\n","future_30.loc[future_30['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n","# prediksi\n","forecast_30 = model_final.predict(future_30)\n","\n","# =========================\n","# PERBAIKAN HASIL\n","# =========================\n","\n","forecast_30[['yhat','yhat_lower','yhat_upper']] = forecast_30[['yhat','yhat_lower','yhat_upper']].clip(lower=0)\n","\n","forecast_30['yhat'] = forecast_30['yhat'].round(0).astype(int)\n","forecast_30['yhat_lower'] = forecast_30['yhat_lower'].round(0).astype(int)\n","forecast_30['yhat_upper'] = forecast_30['yhat_upper'].round(0).astype(int)\n","\n","# ambil hanya 30 hari ke depan\n","result_30 = forecast_30[['ds','yhat','yhat_lower','yhat_upper']].tail(30)\n","\n","print(result_30)\n","\n","# =========================\n","# VISUALISASI 30 HARI\n","# =========================\n","plt.figure(figsize=(12,5))\n","\n","plt.plot(result_30['ds'], result_30['yhat'], label='Prediksi')\n","\n","plt.fill_between(\n"," result_30['ds'],\n"," result_30['yhat_lower'],\n"," result_30['yhat_upper'],\n"," alpha=0.2,\n"," label='Confidence Interval'\n",")\n","\n","plt.title('Prediksi Penjualan 30 Hari ke Depan')\n","plt.xlabel('Tanggal')\n","plt.ylabel('Jumlah')\n","plt.legend()\n","plt.xticks(rotation=45)\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"7Dw3wko-q8aI","executionInfo":{"status":"ok","timestamp":1777087975632,"user_tz":-420,"elapsed":3120,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"bdfd832e-5b78-4bfd-e240-f63823ed17f7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["INFO:prophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"]},{"output_type":"stream","name":"stdout","text":[" ds yhat yhat_lower yhat_upper\n","1096 2026-01-01 10 4 15\n","1097 2026-01-02 11 6 16\n","1098 2026-01-03 9 4 15\n","1099 2026-01-04 0 0 2\n","1100 2026-01-05 11 5 16\n","1101 2026-01-06 9 4 14\n","1102 2026-01-07 10 5 16\n","1103 2026-01-08 9 3 14\n","1104 2026-01-09 10 5 16\n","1105 2026-01-10 9 3 14\n","1106 2026-01-11 0 0 2\n","1107 2026-01-12 10 5 15\n","1108 2026-01-13 9 3 14\n","1109 2026-01-14 10 4 15\n","1110 2026-01-15 8 3 14\n","1111 2026-01-16 10 5 16\n","1112 2026-01-17 8 3 13\n","1113 2026-01-18 0 0 1\n","1114 2026-01-19 10 4 15\n","1115 2026-01-20 8 4 14\n","1116 2026-01-21 9 4 15\n","1117 2026-01-22 8 3 14\n","1118 2026-01-23 10 5 15\n","1119 2026-01-24 8 3 14\n","1120 2026-01-25 0 0 2\n","1121 2026-01-26 10 5 15\n","1122 2026-01-27 9 3 14\n","1123 2026-01-28 10 4 15\n","1124 2026-01-29 9 4 14\n","1125 2026-01-30 10 5 15\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x500 with 1 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\n"},"metadata":{}}]},{"cell_type":"code","source":["# ==============================================================================\n","# IMPORT LIBRARY\n","# ==============================================================================\n","import pandas as pd\n","import numpy as np\n","from prophet import Prophet\n","import matplotlib.pyplot as plt\n","\n","# ==============================================================================\n","# 1. LOAD DATA & INITIAL PREPROCESSING\n","# ==============================================================================\n","# Membaca data penjualan dari excel pangkalan\n","path_data = '/content/drive/MyDrive/TA/data/kumpulan/Data_Penjualan_Muliati.xlsx'\n","df = pd.read_excel(path_data)\n","\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","df['y'] = df['jumlah']\n","\n","# Mengambil kolom krusial dan urutkan secara kronologis\n","df = df[['ds','y']].sort_values('ds').reset_index(drop=True)\n","\n","# Membatasi data eksperimen hingga akhir Desember 2025 (Fokus historis Bab 4)\n","df = df[df['ds'] < '2026-01-01'].copy()\n","\n","# ==============================================================================\n","# 2. FEATURE ENGINEERING & BOUNDED REGULATOR (IMPROVEMENT RUMUS LOGISTIK)\n","# ==============================================================================\n","scale = 0.4 # Nilai pembobot hasil pengujian konvergensi level pengetatan\n","\n","df['pengetatan_level'] = 1.0\n","df.loc[df['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n","# Menetapkan batasan kapasitas logistik (Capping) agar hasil prediksi rasional\n","CAPASITY_LIMIT = 300.0 # Batas atas volume gudang/suplai pangkalan dalam sehari\n","df['cap'] = CAPASITY_LIMIT\n","df['floor'] = 0.0 # Batas bawah mutlak (Volume penjualan tidak bisa minus)\n","\n","# ==============================================================================\n","# 3. DEFINISI FUNGSI EVALUASI KOMPREHENSIF (MAE, MAPE, RMSE) - FIX VERSION\n","# ==============================================================================\n","def mae_global(y_true, y_pred):\n"," # Mengonversi list menjadi numpy array agar bisa dikurangkan secara matematis\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," return np.mean(np.abs(y_true - y_pred))\n","\n","def mape_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," mask = y_true != 0 # Menghindari pembagian dengan nol pada hari Minggu\n"," return np.mean(np.abs((y_true[mask] - y_pred[mask]) / y_true[mask])) * 100\n","\n","def rmse_global(y_true, y_pred):\n"," # Mengonversi list menjadi numpy array agar bisa dikurangkan secara matematis\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," return np.sqrt(np.mean((y_true - y_pred) ** 2))\n","\n","# ==============================================================================\n","# 4. ROLLING FORECASTING (EXPANDING WINDOW CROSS VALIDATION)\n","# ==============================================================================\n","window = 30\n","step = 30\n","\n","all_true = [] # Menampung nilai aktual lapangan\n","all_pred = [] # Menampung hasil prediksi akhir model PeGas\n","all_dates = [] # Menampung runtun tanggal uji\n","\n","# Memulai iterasi expanding window dari hari ke-180\n","for start in range(180, len(df) - window, step):\n"," train = df.iloc[:start]\n"," test = df.iloc[start:start+window]\n","\n"," # Model dengan kombinasi perbaikan parameter (Sesuai Karakteristik Bisnis)\n"," model = Prophet(\n"," growth='logistic', # Mengunci batas kapasitas fisik atas bawah\n"," yearly_seasonality=False, # Mematikan pola tahunan akibat break regulasi\n"," weekly_seasonality=True, # Mengaktifkan siklus mingguan (Business Cycle)\n"," daily_seasonality=False,\n"," changepoint_prior_scale=0.05 # Menjaga kestabilan tren utama (Default kokoh)\n"," )\n","\n"," model.add_regressor('pengetatan_level')\n"," model.fit(train)\n","\n"," # Membuat dataframe masa depan untuk pengujian horizon (30 hari)\n"," future = model.make_future_dataframe(periods=len(test))\n"," future['cap'] = CAPASITY_LIMIT\n"," future['floor'] = 0.0\n"," future['pengetatan_level'] = 1.0\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n"," # Pemrosesan Prediksi\n"," forecast = model.predict(future)\n","\n"," # --- SINKRONISASI LOGIKA BISNIS: INTERVENSI HARI MINGGU = 0 ---\n"," forecast['ds_dt'] = pd.to_datetime(forecast['ds'])\n"," is_sunday = forecast['ds_dt'].dt.dayofweek == 6\n"," forecast.loc[is_sunday, ['yhat', 'yhat_lower', 'yhat_upper']] = 0\n"," # --------------------------------------------------------------\n","\n"," # Post-Processing: Pengecekan batas bawah dan pembulatan kuantitas barang\n"," forecast[['yhat','yhat_lower','yhat_upper']] = forecast[['yhat','yhat_lower','yhat_upper']].clip(lower=0)\n"," forecast['yhat'] = forecast['yhat'].round(0).astype(int)\n","\n"," # Mengambil bagian ekor (30 data masa depan hasil prediksi)\n"," pred = forecast[['ds','yhat']].tail(len(test))\n","\n"," # Menyimpan hasil iterasi secara global\n"," all_true.extend(test['y'].values)\n"," all_pred.extend(pred['yhat'].values)\n"," all_dates.extend(pred['ds'].values)\n","\n","# ==============================================================================\n","# 5. GENERATE METRIK & BAHAN ANALISIS SKRIPSI\n","# ==============================================================================\n","mape_final = mape_global(all_true, all_pred)\n","mae_final = mae_global(all_true, all_pred)\n","rmse_final = rmse_global(all_true, all_pred)\n","\n","print(\"=\"*50)\n","print(\"📊 HASIL EVALUASI AKHIR MODEL PEGAS (OPTIMIZED) 📊\")\n","print(\"=\"*50)\n","print(f\"MAE FINAL : {round(mae_final, 2)} Tabung\")\n","print(f\"MAPE FINAL : {round(mape_final, 2)}%\")\n","print(f\"RMSE FINAL : {round(rmse_final, 2)} Tabung\")\n","print(f\"Rata-rata Penjualan Aktual Riil: {round(np.mean(all_true), 2)} Tabung\")\n","print(\"=\"*50)\n","\n","# ==============================================================================\n","# 6. VISUALISASI GRAFIK KOMPONEN UNTUK BAB 4\n","# ==============================================================================\n","# Jalankan plot komponen menggunakan model dari iterasi terakhir untuk analisis\n","model.plot_components(forecast)\n","plt.gcf().suptitle(\"Grafik Komponen Tren & Musiman Mingguan (Weekly Seasonality) PeGas\", y=1.02, fontweight='bold')\n","plt.show()"],"metadata":{"id":"i_EP10qLsoJr","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1779987960915,"user_tz":-420,"elapsed":18681,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"1933884f-3005-4237-ace8-367d46d7842b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["==================================================\n","📊 HASIL EVALUASI AKHIR MODEL PEGAS (OPTIMIZED) 📊\n","==================================================\n","MAE FINAL : 1.76 Tabung\n","MAPE FINAL : 17.47%\n","RMSE FINAL : 2.7 Tabung\n","Rata-rata Penjualan Aktual Riil: 11.8 Tabung\n","==================================================\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 900x900 with 3 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"jTJNK1R1zXKW"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["**tambahan untuk perhitungan manual prophet**"],"metadata":{"id":"HQnmMxx5zbzF"}},{"cell_type":"code","source":["# =========================\n","# IMPORT LIBRARY\n","# =========================\n","import pandas as pd\n","import numpy as np\n","from prophet import Prophet\n","import matplotlib.pyplot as plt\n","\n","# =========================\n","# LOAD DATA\n","# =========================\n","df = pd.read_excel('/content/drive/MyDrive/TA/data/kumpulan/Data_Latih_Prophet.xlsx')\n","# membaca data penjualan dari excel\n","\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","# ubah kolom tanggal menjadi format datetime (wajib di Prophet)\n","\n","df['y'] = df['jumlah']\n","# kolom target yang akan diprediksi\n","\n","df = df[['ds','y']].sort_values('ds')\n","# ambil kolom penting + urutkan berdasarkan waktu\n","\n","# =========================\n","# PARAMETER PENGETATAN\n","# =========================\n","scale = 0.4\n","# nilai scaling diperoleh melalui proses pengujian scale dengan mempertimbangkan kondisi konvergensi, yaitu ketika perbedaan nilai error antar parameter sangat kecil (0,02)\n","\n","df['pengetatan_level'] = 1.0\n","# default kondisi normal (tidak ada pengetatan)\n","\n","df.loc[df['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","# setelah Oktober → gunakan scale (menandakan perubahan kondisi)\n","\n","# =========================\n","# FUNGSI EVALUASI\n","# =========================\n","\n","def mape_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," mask = y_true != 0\n"," return np.mean(np.abs((y_true[mask]-y_pred[mask])/y_true[mask])) * 100\n","\n","\n","def mae_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," return np.mean(np.abs(y_true - y_pred))\n","\n","# =========================\n","# PARAMETER ROLLING\n","# =========================\n","window = 30\n","# panjang prediksi (30 hari = 1 bulan)\n","\n","step = 30\n","# pergeseran tiap iterasi (30 hari)\n","\n","# =========================\n","# PENAMPUNG HASIL\n","# =========================\n","all_true = [] # data asli\n","all_pred = [] # hasil prediksi\n","all_lower = [] # batas bawah\n","all_upper = [] # batas atas\n","all_dates = [] # tanggal\n","\n","# =========================\n","# ROLLING FORECASTING\n","# =========================\n","\n","window = 30\n","step = 30\n","\n","for start in range(180, len(df)-window, step):\n","\n"," train = df.iloc[:start]\n","\n"," test = df.iloc[start:start+window]\n","\n"," # =========================\n"," # MODEL\n"," # =========================\n"," model = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True, # aktifkan pola mingguan\n"," daily_seasonality=False\n"," )\n","\n"," model.add_regressor('pengetatan_level')\n"," # tambahkan variabel pengetatan agar model tahu ada perubahan kondisi\n","\n"," model.fit(train)\n"," # latih model dengan data training\n","\n"," # =========================\n"," # FUTURE (DATA MASA DEPAN)\n"," # =========================\n"," future = model.make_future_dataframe(periods=len(test))\n"," # membuat tanggal ke depan sebanyak data test (30 hari)\n","\n"," future['pengetatan_level'] = 1.0\n"," # default kondisi normal\n","\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n"," # setelah Oktober → pakai scale\n","\n"," # =========================\n"," # PREDIKSI\n"," # =========================\n"," forecast = model.predict(future)\n"," # hasil prediksi\n","\n"," # =========================\n"," # POST-PROCESSING\n"," # =========================\n"," forecast[['yhat','yhat_lower','yhat_upper']] = forecast[['yhat','yhat_lower','yhat_upper']].clip(lower=0)\n"," # tidak boleh negatif (karena penjualan tidak mungkin minus)\n","\n"," forecast['yhat'] = forecast['yhat'].round(0).astype(int)\n"," forecast['yhat_lower'] = forecast['yhat_lower'].round(0).astype(int)\n"," forecast['yhat_upper'] = forecast['yhat_upper'].round(0).astype(int)\n"," # dibulatkan karena penjualan = angka bulat\n","\n"," pred = forecast[['ds','yhat','yhat_lower','yhat_upper']].tail(len(test))\n"," # ambil hanya bagian test (30 hari terakhir)\n","\n"," # =========================\n"," # SIMPAN HASIL\n"," # =========================\n"," all_true.extend(test['y'].values)\n"," # simpan nilai asli\n","\n"," all_pred.extend(pred['yhat'].values)\n"," # simpan hasil prediksi\n","\n"," all_lower.extend(pred['yhat_lower'].values)\n"," # simpan batas bawah\n","\n"," all_upper.extend(pred['yhat_upper'].values)\n"," # simpan batas atas\n","\n"," all_dates.extend(pred['ds'].values)\n"," # simpan tanggal\n","\n","# =========================\n","# HASIL AKHIR EVALUASI\n","# =========================\n","mape_final = mape_global(all_true, all_pred)\n","# hitung MAPE global\n","\n","mae_final = mae_global(all_true, all_pred)\n","# hitung MAE global\n","\n","print(f\"HASIL MAPE DAN MAE :\")\n","\n","print(f\"MAPE : {round(mape_final,2)}%\")\n","# tampilkan MAPE\n","\n","print(f\"MAE : {(round(mae_final,2))}\")\n","# tampilkan MAE\n","\n","\n","\n","\n","\n"],"metadata":{"id":"9leSGJezzhOr","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1781587861696,"user_tz":-420,"elapsed":31063,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"ce730035-22b1-441c-adce-0fdf1eaa4443"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["HASIL MAPE DAN MAE :\n","MAPE : 16.18%\n","MAE : 1.84\n"]}]},{"cell_type":"code","source":["# =========================\n","# IMPORT LIBRARY\n","# =========================\n","import pandas as pd\n","import numpy as np\n","from prophet import Prophet\n","import matplotlib.pyplot as plt\n","\n","# =========================\n","# LOAD DATA\n","# =========================\n","df = pd.read_excel('/content/drive/MyDrive/TA/data/kumpulan/Data_Latih_Prophet.xlsx')\n","df['ds'] = pd.to_datetime(df['tanggal_penjualan'])\n","df['y'] = df['jumlah']\n","df = df[['ds','y']].sort_values('ds')\n","\n","# =========================\n","# PARAMETER PENGETATAN\n","# =========================\n","scale = 0.4\n","df['pengetatan_level'] = 1.0\n","df.loc[df['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n","# =========================\n","# FUNGSI EVALUASI\n","# =========================\n","def mape_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," mask = y_true != 0\n"," return np.mean(np.abs((y_true[mask]-y_pred[mask])/y_true[mask])) * 100\n","\n","def mae_global(y_true, y_pred):\n"," y_true, y_pred = np.array(y_true), np.array(y_pred)\n"," return np.mean(np.abs(y_true - y_pred))\n","\n","# =========================\n","# PARAMETER ROLLING\n","# =========================\n","window = 30\n","step = 30\n","\n","# =========================\n","# PENAMPUNG HASIL\n","# =========================\n","all_true = []\n","all_pred = []\n","all_lower = []\n","all_upper = []\n","all_dates = []\n","all_residuals = [] # kumpulkan semua residual\n","all_deltas = [] # kumpulkan semua delta changepoint\n","\n","# =========================\n","# ROLLING FORECASTING\n","# =========================\n","for start in range(180, len(df)-window, step):\n","\n"," train = df.iloc[:start]\n"," test = df.iloc[start:start+window]\n","\n"," # MODEL\n"," model = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True,\n"," daily_seasonality=False\n"," )\n"," model.add_regressor('pengetatan_level')\n"," model.fit(train)\n","\n"," # FUTURE\n"," future = model.make_future_dataframe(periods=len(test))\n"," future['pengetatan_level'] = 1.0\n"," future.loc[future['ds'] >= '2025-10-01', 'pengetatan_level'] = scale\n","\n"," # PREDIKSI\n"," forecast = model.predict(future)\n","\n"," # POST-PROCESSING\n"," forecast[['yhat','yhat_lower','yhat_upper']] = forecast[['yhat','yhat_lower','yhat_upper']].clip(lower=0)\n"," forecast['yhat'] = forecast['yhat'].round(0).astype(int)\n"," forecast['yhat_lower'] = forecast['yhat_lower'].round(0).astype(int)\n"," forecast['yhat_upper'] = forecast['yhat_upper'].round(0).astype(int)\n","\n"," pred = forecast[['ds','yhat','yhat_lower','yhat_upper']].tail(len(test))\n","\n"," # SIMPAN HASIL\n"," all_true.extend(test['y'].values)\n"," all_pred.extend(pred['yhat'].values)\n"," all_lower.extend(pred['yhat_lower'].values)\n"," all_upper.extend(pred['yhat_upper'].values)\n"," all_dates.extend(pred['ds'].values)\n","\n"," # =========================\n"," # KUMPULKAN RESIDUAL & DELTA\n"," # dari setiap iterasi\n"," # =========================\n"," train_forecast = forecast[forecast['ds'].isin(train['ds'])].copy()\n"," train_merged = train.merge(train_forecast[['ds','yhat']], on='ds')\n"," residuals_iter = train_merged['y'] - train_merged['yhat']\n"," all_residuals.extend(residuals_iter.values)\n","\n"," deltas_iter = model.params['delta'].mean(axis=0)\n"," all_deltas.extend(np.abs(deltas_iter).tolist())\n","\n","# =========================\n","# HASIL AKHIR EVALUASI\n","# =========================\n","mape_final = mape_global(all_true, all_pred)\n","mae_final = mae_global(all_true, all_pred)\n","\n","\n","\n","# =========================\n","# SIGMA KESELURUHAN\n","# dari gabungan semua iterasi\n","# =========================\n","\n","# ambil hasil latih prophet\n","train_forecast = forecast[forecast['ds'].isin(train['ds'])].copy()\n","train_merged = train.merge(train_forecast[['ds','yhat']], on='ds')\n","\n","# hitung rata-rata residual (untuk sigma obs)\n","residuals_iter = train_merged['y'] - train_merged['yhat']\n","all_residuals.extend(residuals_iter.values)\n","\n","# hitung rata-rata delta/besarnya perubahan laju tren di setiap changepoint\n","# (untuk sigma tren)\n","deltas_iter = model.params['delta'].mean(axis=0)\n","all_deltas.extend(np.abs(deltas_iter).tolist())\n","\n","sigma_obs = np.std(all_residuals)\n","sigma_trend = np.mean(all_deltas)\n","sigma_total = np.sqrt(sigma_obs**2 + sigma_trend**2)\n","\n","print(f\"\\n Sigma pembentuk yhat upper dan lower:\")\n","print(f\"sigma_obs : {round(sigma_obs, 4)}\")\n","print(f\"sigma_trend : {round(sigma_trend, 4)}\")\n","print(f\"sigma_total : {round(sigma_total, 4)}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GZ26WE-JAWIe","executionInfo":{"status":"ok","timestamp":1781607450988,"user_tz":-420,"elapsed":7998,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"251e7486-ef7b-4428-e444-5fe6730a7e0f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n"," Sigma pembentuk yhat upper dan lower:\n","sigma_obs : 2.0761\n","sigma_trend : 0.0054\n","sigma_total : 2.0761\n"]}]},{"cell_type":"code","source":["# Setelah model.fit(train) dan forecast = model.predict(future)\n","\n","# Ambil bagian in-sample (training saja)\n","train_forecast = forecast[forecast['ds'].isin(train['ds'])]\n","\n","# Hitung residual (pencarian sigma obs)\n","residuals = train['y'].values - train_forecast['yhat'].values\n","\n","# Hitung sigma observasi\n","sigma_obs = np.std(residuals)\n","print(f\"sigma_obs: {sigma_obs}\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":211},"id":"GFPLHO6s6MSs","executionInfo":{"status":"error","timestamp":1781606490753,"user_tz":-420,"elapsed":16,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"1e27dd6d-6f7d-44ef-97ae-fb014170e5fc"},"execution_count":null,"outputs":[{"output_type":"error","ename":"NameError","evalue":"name 'forecast' is not defined","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_993/1018367748.py\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;31m# Ambil bagian in-sample (training saja)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mtrain_forecast\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mforecast\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'ds'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'ds'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m# Hitung residual (pencarian sigma obs)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'forecast' is not defined"]}]},{"cell_type":"code","source":["# Ambil delta changepoint (pencarian sigma trend)\n","deltas = model.params['delta'].mean(axis=0)\n","# delta adalah perubahan laju tren di setiap changepoint\n","\n","sigma_trend = np.mean(np.abs(deltas))\n","print(f\"sigma_trend (rata2 |delta|): {sigma_trend}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"uvC1KMBn6To2","executionInfo":{"status":"ok","timestamp":1781587868119,"user_tz":-420,"elapsed":48,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"09d6979d-3a52-4ea5-a582-279f2ae2f553"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["sigma_trend (rata2 |delta|): 0.002840165255707936\n"]}]},{"cell_type":"code","source":["sigma_total = np.sqrt(sigma_obs**2 + sigma_trend**2)\n","print(f\"sigma_total: {sigma_total}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JXGeTq-q6Uci","executionInfo":{"status":"ok","timestamp":1781587871086,"user_tz":-420,"elapsed":36,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"a5a69eec-0ddb-4bf2-c572-1815d8958160"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["sigma_total: 2.405381135428382\n"]}]},{"cell_type":"code","source":["# Verifikasi default\n","print(model.interval_width) # → 0.8"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Nk0O5x4I6c4y","executionInfo":{"status":"ok","timestamp":1781587892410,"user_tz":-420,"elapsed":71,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"41b75fc2-e884-48f6-920e-00cefcc86b17"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0.8\n"]}]},{"cell_type":"code","source":["# KOMPONEN PEMBENTUK PREDIKSI PROPHET\n","# y(t)=g(t)+s(t)+h(t)\n","\n","# Parameter Prophet\n","print(\"\\nParameter pada Prophet:\")\n","print(\"k = \", model.params['k'][0])\n","print(\"m = \", model.params['m'][0])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":228},"id":"Rwg3pCI1MaL4","executionInfo":{"status":"error","timestamp":1781606021342,"user_tz":-420,"elapsed":120,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"87ec3e0d-be68-46e4-fb34-5a8051cebf16"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Parameter pada Prophet:\n"]},{"output_type":"error","ename":"NameError","evalue":"name 'model' is not defined","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_993/1260335285.py\u001b[0m in \u001b[0;36m<cell line: 0>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Parameter Prophet\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"\\nParameter pada Prophet:\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"k = \"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'k'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"m = \"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'm'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'model' is not defined"]}]},{"cell_type":"code","source":["tanggal_contoh = '2026-01-01'\n","\n","hasil = forecast_final[\n"," forecast_final['ds'] == tanggal_contoh\n","].iloc[0]\n","\n","print(\"Tanggal Prediksi :\", hasil['ds'])\n","print(\"Trend g(t) :\", round(hasil['trend'], 4))\n","print(\"Musiman s(t) :\", round(hasil['weekly'],4))\n","print(\"Regressor h(t) :\", round(hasil['extra_regressors_additive'],4))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0pIIa5BCcrcy","executionInfo":{"status":"ok","timestamp":1781526556677,"user_tz":-420,"elapsed":18,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"73030ff0-20d6-4923-b349-92aca895fd3d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Tanggal Prediksi : 2026-01-01 00:00:00\n","Trend g(t) : 11.8384\n","Musiman s(t) : 1.1189\n","Regressor h(t) : -5.0318\n"]}]},{"cell_type":"code","source":["print(\"Sigma Obs (σobs) :\", round(model.params['sigma_obs'][0][0], 4))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"iMgIF8E3N1KJ","executionInfo":{"status":"ok","timestamp":1781527062912,"user_tz":-420,"elapsed":37,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"194e1186-be39-4a05-b2dc-9c555269a5a1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Sigma Obs (σobs) : 0.1221\n"]}]},{"cell_type":"code","source":["print(\"yhat :\", round(hasil['yhat'],4))\n","print(\"yhat_lower :\", round(hasil['yhat_lower'],4))\n","print(\"yhat_upper :\", round(hasil['yhat_upper'],4))\n","\n","print(\"Selisih Lower :\", round(\n"," hasil['yhat'] - hasil['yhat_lower'],4))\n","\n","print(\"Selisih Upper :\", round(\n"," hasil['yhat_upper'] - hasil['yhat'],4))"],"metadata":{"id":"14Vxd_QGTBwU","executionInfo":{"status":"ok","timestamp":1781527226872,"user_tz":-420,"elapsed":70,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"071fb0d7-ef45-4e37-c5b7-b6c0f0a3014d","colab":{"base_uri":"https://localhost:8080/"}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["yhat : 8\n","yhat_lower : 4\n","yhat_upper : 11\n","Selisih Lower : 4\n","Selisih Upper : 3\n"]}]},{"cell_type":"code","source":["# =========================\n","# MODEL ANALISIS LAPORAN\n","# =========================\n","\n","model_laporan = Prophet(\n"," yearly_seasonality=False,\n"," weekly_seasonality=True,\n"," daily_seasonality=False\n",")\n","\n","model_laporan.add_regressor('pengetatan_level')\n","\n","model_laporan.fit(df)\n","\n","# =========================\n","# PREDIKSI JANUARI 2026\n","# =========================\n","\n","future_laporan = model_laporan.make_future_dataframe(periods=31)\n","\n","future_laporan['pengetatan_level'] = 1.0\n","\n","future_laporan.loc[\n"," future_laporan['ds'] >= '2025-10-01',\n"," 'pengetatan_level'\n","] = scale\n","\n","forecast_laporan = model_laporan.predict(future_laporan)\n","\n","# =========================\n","# CEK PARAMETER MODEL\n","# =========================\n","\n","print(\"\\nPARAMETER MODEL\")\n","print(model_laporan.params.keys())\n","\n","print(\"\\nKOLOM FORECAST\")\n","print(forecast_laporan.columns.tolist())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ha6_dpM-F_A9","executionInfo":{"status":"ok","timestamp":1781526285295,"user_tz":-420,"elapsed":337,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"e43ee3d4-5148-41be-cb43-d641e4c1ff80"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","PARAMETER MODEL\n","odict_keys(['lp__', 'k', 'm', 'delta', 'sigma_obs', 'beta', 'trend'])\n","\n","KOLOM FORECAST\n","['ds', 'trend', 'yhat_lower', 'yhat_upper', 'trend_lower', 'trend_upper', 'additive_terms', 'additive_terms_lower', 'additive_terms_upper', 'extra_regressors_additive', 'extra_regressors_additive_lower', 'extra_regressors_additive_upper', 'pengetatan_level', 'pengetatan_level_lower', 'pengetatan_level_upper', 'weekly', 'weekly_lower', 'weekly_upper', 'multiplicative_terms', 'multiplicative_terms_lower', 'multiplicative_terms_upper', 'yhat']\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"heSW_NKqMXZq"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# =========================\n","# PARAMETER MODEL\n","# =========================\n","\n","print(\"\\n===== PARAMETER MODEL =====\")\n","\n","print(\"k (slope trend) :\")\n","print(model_laporan.params['k'][0][0])\n","\n","print(\"\\nm (intercept trend) :\")\n","print(model_laporan.params['m'][0][0])\n","\n","print(\"\\nsigma_obs :\")\n","print(model_laporan.params['sigma_obs'][0][0])\n","\n","print(\"\\nbeta :\")\n","print(model_laporan.params['beta'][0])\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"alFgCmO5GMyC","executionInfo":{"status":"ok","timestamp":1781507172040,"user_tz":-420,"elapsed":62,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"fd374570-c4f1-4a9c-f3a9-6a6c5c568e3c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","===== PARAMETER MODEL =====\n","k (slope trend) :\n","-0.021746277\n","\n","m (intercept trend) :\n","0.5999213\n","\n","sigma_obs :\n","0.13904318\n","\n","beta :\n","[-0.08268063 0.16490961 0.15894169 -0.11083601 -0.18592845 0.00187136\n"," 0.07619367]\n"]}]},{"cell_type":"code","source":["# =========================\n","# CONTOH TANGGAL PREDIKSI\n","# =========================\n","\n","contoh = forecast_laporan[\n"," forecast_laporan['ds'] == '2026-01-01'\n","]\n","\n","print(\"\\n===== CONTOH PREDIKSI 01 JANUARI 2026 =====\")\n","\n","print(\n"," contoh[\n"," [\n"," 'ds',\n"," 'trend',\n"," 'weekly',\n"," 'pengetatan_level',\n"," 'extra_regressors_additive',\n"," 'yhat',\n"," 'yhat_lower',\n"," 'yhat_upper'\n"," ]\n"," ]\n",")\n","\n","forecast_laporan[\n","[\n","'ds',\n","'trend',\n","'trend_lower',\n","'trend_upper',\n","'weekly',\n","'weekly_lower',\n","'weekly_upper',\n","'pengetatan_level',\n","'pengetatan_level_lower',\n","'pengetatan_level_upper',\n","'yhat',\n","'yhat_lower',\n","'yhat_upper'\n","]\n","]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":744},"id":"0mYoz-hGGiS_","executionInfo":{"status":"ok","timestamp":1781526315900,"user_tz":-420,"elapsed":532,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"38346692-5731-4037-d598-08b127a04231"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","===== CONTOH PREDIKSI 01 JANUARI 2026 =====\n"," ds trend weekly pengetatan_level \\\n","1096 2026-01-01 11.838364 1.118899 -5.031803 \n","\n"," extra_regressors_additive yhat yhat_lower yhat_upper \n","1096 -5.031803 7.92546 4.170978 11.629295 \n"]},{"output_type":"execute_result","data":{"text/plain":[" ds trend trend_lower trend_upper weekly weekly_lower \\\n","0 2023-01-01 11.998426 11.998426 11.998426 -11.190124 -11.190124 \n","1 2023-01-02 11.998029 11.998029 11.998029 2.466125 2.466125 \n","2 2023-01-03 11.997632 11.997632 11.997632 1.370718 1.370718 \n","3 2023-01-04 11.997234 11.997234 11.997234 2.323074 2.323074 \n","4 2023-01-05 11.996837 11.996837 11.996837 1.118899 1.118899 \n","... ... ... ... ... ... ... \n","1122 2026-01-27 11.836891 11.836753 11.837100 1.370718 1.370718 \n","1123 2026-01-28 11.836835 11.836684 11.837064 2.323074 2.323074 \n","1124 2026-01-29 11.836778 11.836609 11.837030 1.118899 1.118899 \n","1125 2026-01-30 11.836722 11.836534 11.836989 2.708796 2.708796 \n","1126 2026-01-31 11.836665 11.836467 11.836948 1.202511 1.202511 \n","\n"," weekly_upper pengetatan_level pengetatan_level_lower \\\n","0 -11.190124 0.461082 0.461082 \n","1 2.466125 0.461082 0.461082 \n","2 1.370718 0.461082 0.461082 \n","3 2.323074 0.461082 0.461082 \n","4 1.118899 0.461082 0.461082 \n","... ... ... ... \n","1122 1.370718 -5.031803 -5.031803 \n","1123 2.323074 -5.031803 -5.031803 \n","1124 1.118899 -5.031803 -5.031803 \n","1125 2.708796 -5.031803 -5.031803 \n","1126 1.202511 -5.031803 -5.031803 \n","\n"," pengetatan_level_upper yhat yhat_lower yhat_upper \n","0 0.461082 1.269384 -2.370431 4.942544 \n","1 0.461082 14.925236 11.467816 18.533633 \n","2 0.461082 13.829431 10.105404 17.196194 \n","3 0.461082 14.781390 11.122957 18.549366 \n","4 0.461082 13.576818 9.971985 17.236613 \n","... ... ... ... ... \n","1122 -5.031803 8.175806 4.593207 11.955108 \n","1123 -5.031803 9.128106 5.499019 12.794512 \n","1124 -5.031803 7.923874 4.246512 11.685825 \n","1125 -5.031803 9.513714 6.017298 12.934784 \n","1126 -5.031803 8.007373 4.455752 11.326646 \n","\n","[1127 rows x 13 columns]"],"text/html":["\n"," <div id=\"df-38874ad1-9295-4b08-8795-0b934b306e8b\" class=\"colab-df-container\">\n"," <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>ds</th>\n"," <th>trend</th>\n"," <th>trend_lower</th>\n"," <th>trend_upper</th>\n"," <th>weekly</th>\n"," <th>weekly_lower</th>\n"," <th>weekly_upper</th>\n"," <th>pengetatan_level</th>\n"," <th>pengetatan_level_lower</th>\n"," <th>pengetatan_level_upper</th>\n"," <th>yhat</th>\n"," <th>yhat_lower</th>\n"," <th>yhat_upper</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>2023-01-01</td>\n"," <td>11.998426</td>\n"," <td>11.998426</td>\n"," <td>11.998426</td>\n"," <td>-11.190124</td>\n"," <td>-11.190124</td>\n"," <td>-11.190124</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>1.269384</td>\n"," <td>-2.370431</td>\n"," <td>4.942544</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>2023-01-02</td>\n"," <td>11.998029</td>\n"," <td>11.998029</td>\n"," <td>11.998029</td>\n"," <td>2.466125</td>\n"," <td>2.466125</td>\n"," <td>2.466125</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>14.925236</td>\n"," <td>11.467816</td>\n"," <td>18.533633</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>2023-01-03</td>\n"," <td>11.997632</td>\n"," <td>11.997632</td>\n"," <td>11.997632</td>\n"," <td>1.370718</td>\n"," <td>1.370718</td>\n"," <td>1.370718</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>13.829431</td>\n"," <td>10.105404</td>\n"," <td>17.196194</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>2023-01-04</td>\n"," <td>11.997234</td>\n"," <td>11.997234</td>\n"," <td>11.997234</td>\n"," <td>2.323074</td>\n"," <td>2.323074</td>\n"," <td>2.323074</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>14.781390</td>\n"," <td>11.122957</td>\n"," <td>18.549366</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>2023-01-05</td>\n"," <td>11.996837</td>\n"," <td>11.996837</td>\n"," <td>11.996837</td>\n"," <td>1.118899</td>\n"," <td>1.118899</td>\n"," <td>1.118899</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>0.461082</td>\n"," <td>13.576818</td>\n"," <td>9.971985</td>\n"," <td>17.236613</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>1122</th>\n"," <td>2026-01-27</td>\n"," <td>11.836891</td>\n"," <td>11.836753</td>\n"," <td>11.837100</td>\n"," <td>1.370718</td>\n"," <td>1.370718</td>\n"," <td>1.370718</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>8.175806</td>\n"," <td>4.593207</td>\n"," <td>11.955108</td>\n"," </tr>\n"," <tr>\n"," <th>1123</th>\n"," <td>2026-01-28</td>\n"," <td>11.836835</td>\n"," <td>11.836684</td>\n"," <td>11.837064</td>\n"," <td>2.323074</td>\n"," <td>2.323074</td>\n"," <td>2.323074</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>9.128106</td>\n"," <td>5.499019</td>\n"," <td>12.794512</td>\n"," </tr>\n"," <tr>\n"," <th>1124</th>\n"," <td>2026-01-29</td>\n"," <td>11.836778</td>\n"," <td>11.836609</td>\n"," <td>11.837030</td>\n"," <td>1.118899</td>\n"," <td>1.118899</td>\n"," <td>1.118899</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>7.923874</td>\n"," <td>4.246512</td>\n"," <td>11.685825</td>\n"," </tr>\n"," <tr>\n"," <th>1125</th>\n"," <td>2026-01-30</td>\n"," <td>11.836722</td>\n"," <td>11.836534</td>\n"," <td>11.836989</td>\n"," <td>2.708796</td>\n"," <td>2.708796</td>\n"," <td>2.708796</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>9.513714</td>\n"," <td>6.017298</td>\n"," <td>12.934784</td>\n"," </tr>\n"," <tr>\n"," <th>1126</th>\n"," <td>2026-01-31</td>\n"," <td>11.836665</td>\n"," <td>11.836467</td>\n"," <td>11.836948</td>\n"," <td>1.202511</td>\n"," <td>1.202511</td>\n"," <td>1.202511</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>-5.031803</td>\n"," <td>8.007373</td>\n"," <td>4.455752</td>\n"," <td>11.326646</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>1127 rows × 13 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\"column\": \"trend\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.04087026016071869,\n \"min\": 11.836664911068864,\n \"max\": 11.998426,\n \"num_unique_values\": 1127,\n \"samples\": [\n 11.838703939237353,\n 11.83910041693678,\n 11.858584335774827\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"trend_lower\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.040871993321842714,\n \"min\": 11.836466599301367,\n \"max\": 11.998426,\n \"num_unique_values\": 1127,\n \"samples\": [\n 11.838703939237353,\n 11.83910041693678,\n 11.858584335774827\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"trend_upper\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.040867873746507306,\n \"min\": 11.8369481067793,\n \"max\": 11.998426,\n \"num_unique_values\": 1127,\n \"samples\": [\n 11.838703939237353,\n 11.83910041693678,\n 11.858584335774827\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"weekly\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4.609674862424144,\n \"min\": -11.190123966166698,\n \"max\": 2.708795821421858,\n \"num_unique_values\": 1127,\n \"samples\": [\n 2.708795821378102,\n 2.7087958213815333,\n 1.1188992480029736\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"weekly_lower\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4.609674862424144,\n \"min\": -11.190123966166698,\n \"max\": 2.708795821421858,\n \"num_unique_values\": 1127,\n \"samples\": [\n 2.708795821378102,\n 2.7087958213815333,\n 1.1188992480029736\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"weekly_upper\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4.609674862424144,\n \"min\": -11.190123966166698,\n \"max\": 2.708795821421858,\n \"num_unique_values\": 1127,\n \"samples\": [\n 2.708795821378102,\n 2.7087958213815333,\n 1.1188992480029736\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pengetatan_level\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.713518213805665,\n \"min\": -5.0318029445548405,\n \"max\": 0.4610815447201655,\n \"num_unique_values\": 2,\n \"samples\": [\n -5.0318029445548405,\n 0.4610815447201655\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pengetatan_level_lower\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.713518213805665,\n \"min\": -5.0318029445548405,\n \"max\": 0.4610815447201655,\n \"num_unique_values\": 2,\n \"samples\": [\n -5.0318029445548405,\n 0.4610815447201655\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pengetatan_level_upper\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.713518213805665,\n \"min\": -5.0318029445548405,\n \"max\": 0.4610815447201655,\n \"num_unique_values\": 2,\n \"samples\": [\n -5.0318029445548405,\n 0.4610815447201655\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"yhat\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4.915577463286338,\n \"min\": -4.384922161610461,\n \"max\": 15.166317404733112,\n \"num_unique_values\": 1127,\n \"samples\": [\n 9.515696816060615,\n 9.516093293763472\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"yhat_lower\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4.91957791729887,\n \"min\": -8.148661861702559,\n \"max\": 11.970625564245626,\n \"num_unique_values\": 1127,\n \"samples\": [\n 5.910531736970611,\n 5.848375312021351\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"yhat_upper\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4.9119359785800345,\n \"min\": -1.0769881147834202,\n \"max\": 19.065776482374535,\n \"num_unique_values\": 1127,\n \"samples\": [\n 13.00550841553877,\n 13.237652601279976\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"}},"metadata":{},"execution_count":12}]},{"cell_type":"code","source":["print(model_laporan.params['k'][0][0])\n","print(model_laporan.params['m'][0][0])\n","print(model_laporan.params['sigma_obs'][0][0])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9lXjJwWNGu_0","executionInfo":{"status":"ok","timestamp":1781508150017,"user_tz":-420,"elapsed":33,"user":{"displayName":"09. Eka setyo saputra","userId":"06099206732182980432"}},"outputId":"de95ed25-e2ed-49b3-fe1f-f8485766279a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["-0.021746277\n","0.5999213\n","0.13904318\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"gykW160oKRE7"},"execution_count":null,"outputs":[]}]} |