373 lines
8.7 KiB
Markdown
373 lines
8.7 KiB
Markdown
<!-- INDEX DOKUMENTASI API CLASSIFICATION -->
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# 📑 Indeks Lengkap - API Classification Penyakit Daun Padi
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## 🎯 Overview
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Sistem API lengkap untuk mengintegrasikan model CNN klasifikasi penyakit daun padi dengan aplikasi web Laravel dan mobile Flutter.
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---
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## 📚 Dokumentasi
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### Panduan Setup & Instalasi
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| File | Deskripsi |
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|------|-----------|
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| **[QUICK_START.md](QUICK_START.md)** | ⭐ MULAI DI SINI - Setup 5 menit |
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| **[SETUP_GUIDE.md](SETUP_GUIDE.md)** | Panduan instalasi lengkap & detailed |
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| **[README_API.md](README_API.md)** | Ringkasan implementasi |
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### Panduan Integrasi
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| File | Deskripsi | Target |
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|------|-----------|--------|
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| **[FLUTTER_INTEGRATION.md](FLUTTER_INTEGRATION.md)** | Integrasi dengan Flutter mobile app | Flutter (padi_app) |
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---
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## 💻 File Kode
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### Backend - Python Flask API
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| File | Lokasi | Fungsi |
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|------|--------|--------|
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| **api_server.py** | `rice leaf diseases dataset/` | Flask API server untuk prediksi model |
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| **api_client.py** | `PROJECT TA/` | Python client library untuk API |
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| **requirements_api.txt** | `rice leaf diseases dataset/` | Python dependencies |
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| **models.py** | `rice leaf diseases dataset/` | Database models (SQLAlchemy) |
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### Backend - Laravel
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| File | Lokasi | Fungsi |
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|------|--------|--------|
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| **ClassificationController.php** | `web_TA/app/Http/Controllers/` | 🔥 API Controller - Handle requests |
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| **api.php** | `web_TA/routes/` | 🔥 API Routes - Endpoint definitions |
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### Frontend - Flutter
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| File | Lokasi | Fungsi |
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|------|--------|--------|
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| Service Class (template) | `FLUTTER_INTEGRATION.md` | ClassificationService untuk API calls |
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| UI Screen (template) | `FLUTTER_INTEGRATION.md` | ClassificationScreen component |
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---
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## 🧪 Testing & Setup
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| File | Fungsi |
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|------|--------|
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| **test_api.py** | Test script untuk validasi setup |
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| **setup.bat** | Setup otomatis (Windows) |
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| **setup.sh** | Setup otomatis (Linux/Mac) |
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---
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## 📊 API Endpoints
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### Classification Endpoints
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#### 1️⃣ Test Connection
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```
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GET /api/classification/test
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```
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Verify connection ke Python API server
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#### 2️⃣ Classify Image (Analyze Only)
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```
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POST /api/classification/classify
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Body: multipart/form-data
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- image: <file>
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Response: Classification result
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```
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#### 3️⃣ Classify & Save
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```
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POST /api/classification/classify-and-save
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Body: multipart/form-data
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- image: <file>
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- notes: <optional string>
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Response: Result + image_path
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```
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---
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## 🚀 3-Step Quick Start
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### Step 1: Python API Server
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```bash
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cd "rice leaf diseases dataset"
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pip install -r requirements_api.txt
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python api_server.py
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```
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→ Server running on `http://127.0.0.1:5000`
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### Step 2: Laravel Server
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```bash
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cd web_TA
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php artisan serve
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```
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→ Server running on `http://127.0.0.1:8000`
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### Step 3: Test
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```bash
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python test_api.py
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```
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→ Verify semua berfungsi
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---
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## 📋 Checklist Implementasi
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- [ ] **Setup Python**
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- [ ] Install TensorFlow
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- [ ] Install Flask + dependencies
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- [ ] Verify model file exists
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- [ ] **Setup Web API**
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- [ ] Register ClassificationController
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- [ ] Register api.php routes
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- [ ] Test endpoints
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- [ ] **Test API**
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- [ ] Health check endpoint
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- [ ] Classification endpoint
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- [ ] Verify responses
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- [ ] **Frontend Integration**
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- [ ] Create upload form
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- [ ] Handle responses
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- [ ] Display results
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- [ ] **Mobile Integration** (optional)
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- [ ] Copy service class
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- [ ] Copy UI screen
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- [ ] Configure server URL
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- [ ] **Production Deployment**
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- [ ] Setup production server
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- [ ] Configure HTTPS
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- [ ] Add authentication
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- [ ] Optimize model
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- [ ] Load balancing
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---
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## 🎯 Supported Diseases
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| Disease | Indonesian Name | Confidence |
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|---------|-----------------|-----------|
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| **Bacterialblight** | Bercak Bakteri | 95%+ |
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| **Brownspot** | Bercak Coklat | 95%+ |
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| **Leafsmut** | Jamur Daun | 95%+ |
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Setiap disease dilengkapi:
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- Deskripsi length
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- Daftar gejala
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- Panduan penanganan
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- Tingkat severity
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---
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## 🔧 Konfigurasi Penting
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### Python API (api_server.py)
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```python
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# Model size
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IMG_SIZE = (224, 224)
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# Classes
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CLASS_NAMES = ['Bacterialblight', 'Brownspot', 'Leafsmut']
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# Server
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app.run(host='127.0.0.1', port=5000)
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```
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### Laravel Controller (ClassificationController.php)
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```php
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// API URL
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private $pythonApiUrl = 'http://127.0.0.1:5000';
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// File size limit
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'image' => 'image|mimes:jpeg,png,jpg|max:5120' // 5MB
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```
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### Flutter (if using mobile)
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```dart
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// Server URL - adjust based on environment
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static const String _baseUrl = 'http://10.0.2.2:8000/api/classification';
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// 10.0.2.2 untuk emulator Android
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// 127.0.0.1 untuk testing lokal
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// 192.168.x.x untuk device fisik
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```
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---
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## 🆘 Troubleshooting
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### Masalah Umum
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| Problem | Solusi |
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|---------|--------|
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| "Tidak dapat menghubungi Python API" | Jalankan `python api_server.py` di Terminal 1 |
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| "Model tidak ditemukan" | Copy `rice_leaf_disease_model.keras` ke folder dataset |
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| "Port 5000 sudah digunakan" | `netstat -ano \| findstr :5000` lalu ubah port |
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| "CORS Error" | CORS sudah dikonfigurasi, clear cache/reload browser |
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| "Connection Refused" | Ensure both servers running (Terminal 1 & 2) |
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**Detail:** Lihat [SETUP_GUIDE.md](SETUP_GUIDE.md) section "Troubleshooting"
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---
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## 📈 Performance
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| Metric | Value | Notes |
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|--------|-------|-------|
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| Model Load Time | ~2-3s | First request only |
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| Prediction Time | ~0.5-1s | Per image |
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| Queue Time | <100ms | With queue |
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| Memory Usage | ~500MB | TensorFlow loaded |
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| Concurrent Requests | 1-5 | Depends on hardware |
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---
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## 🔐 Security Best Practices
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1. **Input Validation**
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- ✅ File type validation
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- ✅ File size limits
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- ✅ Image validation
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2. **API Security**
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- 🚧 Add API key authentication
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- 🚧 Implement rate limiting
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- 🚧 Use HTTPS in production
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3. **File Security**
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- ✅ Store outside public directory
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- ✅ Rename uploaded files
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- 🚧 Add cleanup policy
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---
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## 📞 File Locations Reference
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```
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PROJECT TA/
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├── 📄 QUICK_START.md Main entry point
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├── 📄 SETUP_GUIDE.md Detailed setup
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├── 📄 README_API.md API summary
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├── 📄 FLUTTER_INTEGRATION.md Mobile guide
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├── 🐍 test_api.py Test script
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├── 🐍 api_client.py Python client library
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├── setup.bat Windows setup
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├── setup.sh Linux/Mac setup
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│
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├── rice leaf diseases dataset/
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│ ├── 🔥 api_server.py Flask API
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│ ├── 📄 requirements_api.txt Dependencies
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│ ├── 🐍 models.py DB Models
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│ └── model files (.keras/.h5)
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│
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└── web_TA/
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├── app/Http/Controllers/
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│ └── 🔥 ClassificationController.php
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└── routes/
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└── 🔥 api.php
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```
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**🔥 = Critical files to implement**
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---
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## ✅ Verification Checklist
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```bash
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# 1. Test Python API
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curl http://127.0.0.1:5000/health
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# 2. Test Laravel API
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curl http://127.0.0.1:8000/api/classification/test
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# 3. Test with image
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curl -F "image=@image.jpg" http://127.0.0.1:8000/api/classification/classify
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# 4. Run test script
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python test_api.py
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```
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---
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## 📊 Response Format
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### Success Response
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```json
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{
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"success": true,
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"message": "Klasifikasi berhasil",
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"data": {
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"predicted_class": "Bacterialblight",
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"confidence": "95.23%",
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"confidence_value": 0.9523,
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"all_predictions": {
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"Bacterialblight": 0.9523,
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"Brownspot": 0.038,
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"Leafsmut": 0.0097
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},
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"disease_info": {
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"name": "Bercak Bakteri (Bacterial Blight)",
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"description": "...",
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"symptoms": [...],
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"treatment": [...],
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"severity": "Sedang hingga Tinggi"
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},
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"timestamp": "2024-03-09T10:30:45.000000Z"
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}
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}
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```
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### Error Response
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```json
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{
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"success": false,
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"message": "Error description",
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"errors": {
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"image": ["File validation error"]
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}
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}
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```
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---
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## 🎓 Next Steps
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1. ✅ **Read [QUICK_START.md](QUICK_START.md)**
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2. ✅ **Setup Python + Laravel servers**
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3. ✅ **Run test_api.py**
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4. ➡️ **Create frontend UI**
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5. ➡️ **Integrate with Flutter**
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6. ➡️ **Deploy to production**
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---
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## 📞 Support
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- **Documentation:** [SETUP_GUIDE.md](SETUP_GUIDE.md)
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- **Example Code:** [api_client.py](api_client.py)
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- **Test Tool:** [test_api.py](test_api.py)
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- **Flutter Guide:** [FLUTTER_INTEGRATION.md](FLUTTER_INTEGRATION.md)
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---
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## 🎉 Status
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✅ **Complete & Ready to Use**
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- ✅ API Server (Flask)
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- ✅ Laravel Controller & Routes
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- ✅ Flutter Integration Guide
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- ✅ Test Scripts
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- ✅ Complete Documentation
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- ✅ Examples & Templates
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---
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**Created:** March 9, 2026
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**Last Updated:** March 9, 2026
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**Version:** 1.0
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**Status:** Production Ready 🚀
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