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Part-time

Sistem Penanaman Padi Skala Besar

Agricultural technology platform for managing large-scale paddy cultivation operations with Vue.js frontend and GIS integration for MADA.

Muda Agricultural Development Authority (MADA)
Frontend Developer
Sistem Penanaman Padi Skala Besar

Project Overview

Enterprise-level farm management system built for Malaysia's premier agricultural authority, enabling end-to-end management of large-scale rice planting operations. Features include crop planning dashboards, farmer registration, field mapping with GIS integration, harvest tracking, data analytics, and seamless legacy system migration from SPIM MADA. Utilizes modern Vue.js frontend with Laravel API backend for scalable agricultural operations.

Project Details
Role: Frontend Developer
Key Contributions:
  • Architected responsive Vue.js component library with reusable UI patterns
  • Integrated Laravel REST APIs with Vue components using Axios for data management
  • Implemented interactive GIS maps with Leaflet for field visualization and boundary management
  • Developed dynamic data visualization dashboards using Chart.js for agricultural analytics
  • Built form validation and state management with Vue Composition API
  • Optimized performance for large datasets with lazy loading and pagination
  • Collaborated with agricultural experts to design farmer-friendly interfaces

Project Journey

Challenges

Integrating modern Vue.js architecture with legacy SPIM MADA MySQL database while maintaining data integrity across large-scale operations. Required building intuitive interfaces for non-technical agricultural officers and farmers, handling complex geospatial data, and ensuring real-time synchronization without disrupting ongoing operations.

Approach

Implemented progressive Vue.js SPA with Inertia.js for smooth transitions and Laravel API backend for robust business logic. Designed modular component architecture with Tailwind CSS for consistent styling. Integrated Leaflet for GIS visualization of paddy fields and planting zones. Utilized Chart.js for data-driven insights and Axios for efficient API communication. Implemented data migration pipeline ensuring seamless legacy system integration.

Results

Successfully modernized MADA's agricultural management infrastructure, reducing manual data entry by 60% and improving operational visibility across 96,000 hectares of paddy fields. Enhanced decision-making capabilities with real-time analytics and field visualization. Improved farmer satisfaction through simplified registration and transparent crop monitoring. System now serves 30,000+ farmers with 99.8% uptime.

Technology Stack

Frontend
Vue.js 3
Inertia.js
Tailwind CSS
Axios
Chart.js
FontAwesome
Heroicons
Particles.js
Backend
Laravel
PHP
Database
PostgreSQL
GIS
Leaflet.js
GeoJSON
Tooling
Prettier
ESLint
Postman

Project Gallery

SPPSB main dashboard showing crop planning overview
GIS map view displaying paddy field boundaries and planting zones
Farmer management module with registration and data tracking
Analytics dashboard with yield forecasting and performance charts

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Engku Azrul – Freelance Frontend Developer