
PLNHOME - Jabar
KWH Meter Maintenance & Management System
PLNHOME - Jabar
A specialized application for managing KWH meter lifecycle and maintenance operations.
Overview
PLNHOME (Manajemen Pemeliharaan Meter Online Dan Mobile) is a purpose-built web application developed for PT. PLN UID Jawa Barat to digitize and streamline the management of KWH meters. The system addresses the critical need for efficient tracking, maintenance scheduling, and management of broken or replaced meters across the West Java region. It serves as a central hub for administrative staff and field technicians, ensuring accurate data and improving operational workflow. After successful development and deployment, the project was handed over and is now maintained by the internal IT team at PLN.
Technology Stack
A robust and scalable technology stack was chosen to handle the complex operational logic and ensure system reliability.
Frontend
- Framework: Codeigniter
- Language: PHP
- Styling: Bootstrap CSS
Backend
- Framework: Codeigniter for robust business logic and API
- Language: PHP
- Database: PostgreSQL
- Architecture: Secure RESTful API
Key Features
Work Order Management
The system allows administrators to create, assign, and track maintenance work orders for faulty KWH meters, from initial reporting to final resolution by field technicians.
KWH Meter Lifecycle Tracking
Provides a complete history for every KWH meter, including installation dates, maintenance records, and replacement details, ensuring full traceability.
Inventory Management
A dedicated module to manage the inventory of new, installed, and faulty KWH meters, helping to forecast stock needs and manage assets effectively.
Field Technician Dashboard
A mobile-responsive interface for field technicians to view their assigned tasks, update work order statuses in real-time, and submit maintenance reports directly from the field.
Reporting & Analytics
Features a comprehensive dashboard for management to monitor key performance indicators (KPIs), such as technician response times, repair success rates, and regional fault patterns.