SAPA AMANAH - Aplikasi Monitoring dan Kepatuhan

📱 App Links

• Status: Currently in final testing phase, preparing for official launch
• Availability: Debug version available for internal testing
• Release Timeline: Scheduled for public release on Play Store and App Store in Q2 2025

📖 Project Overview

SAPA AMANAH is a Flutter-based mobile application I developed for PT Perkebunan Nusantara I, one of Indonesia’s largest state-owned plantation enterprises. The application was designed to digitize monitoring and reporting processes in the plantation sector that were previously performed manually, resulting in operational inefficiencies and difficulties in data-driven decision making.

💻 Tech Stack

• Frontend: Flutter 2.8+ with clean architecture approach
• Backend: Laravel 8-based RESTful API
• Database: MySQL (server) and SQLite (local storage)
• State Management: BLoC Pattern with flutter_bloc 8.0
• Authentication: JWT token with refresh mechanism
• Offline Capability: Floor Database + custom synchronization algorithm
• GPS Integration: Flutter geolocator + Google Maps API
• Deployment: CI/CD with Bitbucket Pipelines
• Methodology: Agile Scrum with 2-week sprints

🗒️ Best Practices

• Clean Architecture with separation of concerns
• Automated testing (unit, widget, integration) with >75% coverage
• CI/CD implementation for consistent delivery
• Comprehensive documentation and knowledge transfer
• Post-implementation support and iterative improvement

🗒️ Key Features

Plantation Module

• Field Inspection: Digital system replacing paper forms, reducing inspection time by 65%
• Harvesting Point Inspection: Digital monitoring with GPS verification, improving reporting accuracy by 80%
• Fertilization Tracking: Documentation with photo and GPS validation, reducing fraudulent reporting by 90%
• Pest Control Management: Analytical dashboard for risk area identification
• Road Maintenance Tracking: Ticket system for infrastructure issue handling
• Harvest Cycle Management: Schedule optimization with calendar visualization
• Leftover Fruit Bunch Recording: Real-time tracking with automated notifications

Processing Module

• Processing Morning Roll Call: Digitized attendance and briefing with audit trail
• Wastewater Treatment Monitoring: Real-time dashboard with alert system
• Equipment Failure Reporting: Ticket system with priority levels and status tracking
• Failure Analysis: Structured forms with simple AI-based recommendation system
• Failure Resolution: Multi-level approval workflow with notifications
• Routine Sorting Checks: Digital checklists with supervisor validation

Advanced Supporting Features

• Performance Dashboard: Interactive data visualization with 12+ key KPI charts
• Follow-up Action System: Follow-up workflow with automatic deadlines and reminders
• Smart Synchronization: Data priority algorithm using bandwidth constraints
• Multi-channel Notifications: In-app, email, and WhatsApp API integration
• User Management: RBAC (Role-Based Access Control) with 8 different access levels

🔧 Technical Challenges and Innovative Solutions

Challenges

1. Limited Connectivity: Plantation areas with sporadic 2G/3G signal
2. Relational Data Complexity: Hierarchical data structure (estate > division > block > field)
3. 24/7 Offline Requirements: Operations must function without internet connection
4. GPS Accuracy in Remote Areas: Difficulty obtaining accurate GPS signals
5. Device Variability: From entry-level to high-end smartphones

Solutions I Implemented

1. Encrypted Local Database: Using Floor/SQLite with encryption for sensitive data
2. BLoC Architecture with Repository Pattern: Separation of data, domain, and presentation layers
3. Delta Synchronization Algorithm: Sending only data changes, reducing data usage by 75%
4. GPS Augmentation: Combination of GPS, network location, and landmark references
5. Performance Profiling: Custom optimizations for low-end devices (2GB RAM)

📊 Results and Measurable Business Impact

• Operational Efficiency: Reduction in reporting time from 3 hours to 45 minutes per day
• ROI: Return on investment within 7 months through increased productivity
• Error Reduction: 92% decrease in reporting errors compared to the manual system
• Transparency: Executive dashboard enabling real-time monitoring by management
• Revenue Increase: Contribution to an 8% increase in harvest yield through more effective inspections

📝 Project Metrics

• Timeline: 2 Weeks (Feb 19 - Mar 12 2025)
• Role: Flutter Developer
• Team Size: 2

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