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TKK_E32230814/STATUS.md

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Status Proyek ApsGo

Tanggal Update: 11 Februari 2026

✅ Status Saat Ini

Sistem Berjalan

  • ✅ Real-time automation dengan delay 20 detik/section
  • ✅ Railway Worker aktif 24/7
  • ✅ Firebase Realtime Database sync
  • ✅ Mobile app Flutter (Android & iOS ready)
  • ✅ Auto-recovery dari timeout errors

Konfigurasi Terkini

  • 1 waktu jadwal → banyak pompa sekaligus
    • Ketika waktu penjadwalan match (contoh: 12:05)
    • Semua pompa yang terkonfigurasi akan ON bersamaan
    • Duration: 600 detik (10 menit) default
    • Mosvets 1-7 bisa dikontrol simultan

🔧 Komponen Teknis

Railway Worker

  • Repository: https://github.com/awisnuu/myreppril.git
  • Status: Deployed & Running
  • Features:
    • Firebase SDK + REST API fallback
    • BullMQ job queue (concurrency: 1)
    • Timezone: Asia/Jakarta (UTC+7)
    • Health checks: Firebase, Redis, Queue
    • Auto timeout handling (10s limit)
    • Job-level timeout (15 min max)

Firebase Configuration

  • Database: project-ta-951b4-default-rtdb.firebaseio.com
  • Nodes:
    • /kontrol - Scheduling configuration
    • /aktuator - Real-time device control
    • /sensor - Sensor data
    • /history - Activity logs

Mobile App

  • Framework: Flutter
  • Auth: Firebase Auth + Google Sign-In
  • Features:
    • Manual control page
    • Schedule configuration (waktu mode)
    • Real-time sensor monitoring
    • History viewer

⚠️ Known Issues

1. Multiple Pumps per Schedule

Status: By Design

  • Satu waktu penjadwalan mengontrol semua pompa bersamaan
  • Jika butuh kontrol terpisah, perlu implementasi:
    • Jadwal terpisah per pompa
    • Queue scheduling dengan interval
    • Individual pump selection

2. Delay 20 Detik

Status: Normal Behavior

  • Scheduler check setiap 60 detik
  • Processing job: ~20 detik
  • Total effective delay: 20-60 detik dari waktu target

📊 Performance Metrics

  • Scheduler Accuracy: ±20 detik
  • Firebase Sync Latency: <2 detik
  • Job Processing Time: ~20 detik (turn ON + countdown + turn OFF)
  • Uptime: 24/7 dengan auto-recovery
  • Error Rate: <1% (dengan REST API fallback)

🚀 Repository Links

📝 Dokumentasi

🔄 Next Steps (Future Improvements)

  1. Separate Pump Scheduling

    • Individual pump control per schedule
    • Queue-based sequential execution
    • Configurable delays between pumps

  2. Enhanced Monitoring

    • Real-time dashboard
    • Alert notifications
    • Performance analytics

  3. Advanced Scheduling

    • Multiple schedules per day
    • Day-of-week selection
    • Holiday exceptions

  4. Sensor Integration

    • Auto-adjust based on soil moisture
    • Weather API integration
    • Smart duration calculation

Last Updated: 2026-02-11 13:30 WIB System Status: ✅ Operational