TemanNelayan (Manela)

A satellite-data-driven fisheries platform developed for GEMASTIK XVIII to help fishermen identify potential fishing zones and fish types using oceanographic analysis and AI-assisted insights.

Overview

TemanNelayan (Manela) is a GEMASTIK XVIII project developed collaboratively with Alwan Athallah Mumtaz, achieving 4th place in the competition.

The platform was designed to help fishermen identify potential fishing locations and fish species by combining satellite-derived oceanographic data with analytical and AI-assisted insights. A major focus of the project was maintaining usability in low-connectivity maritime environments where stable internet access is often unavailable.

Responsibilities

  • Conducted collaborative research on methodologies for predicting fish locations and species based on oceanographic indicators.
  • Collected and processed:
    • Chlorophyll-a (CHL-A)
    • Bathymetry data
    • Sea Surface Temperature (SST)
  • Utilized Google Earth Engine for large-scale satellite data acquisition.
  • Processed and structured datasets using Python for analytical workflows.
  • Built backend services using Node.js and Express.js.
  • Contributed to offline-first architecture and low-bandwidth optimization strategies.
  • Implemented partial rendering techniques to improve usability on low-end devices.
  • Participated in field testing and validation directly with fishermen.

Tech Stack

  • Node.js
  • Express.js
  • Python
  • Google Earth Engine
  • Satellite Data Processing
  • AI-Assisted Analytics
  • Offline-First Architecture

Impact

The project demonstrated how satellite data and lightweight AI-assisted systems could support practical fisheries decision-making in real-world maritime conditions.

Key outcomes included:

  • Supporting fishermen with accessible fishing zone insights
  • Enabling usability in low-connectivity environments
  • Optimizing performance for lower-end mobile devices
  • Achieving approximately 80% successful validation during field testing for core predictions and functionalities
  • Securing 4th place at GEMASTIK XVIII

Key Takeaways

This project strengthened experience in:

  • Satellite and oceanographic data processing
  • Research-driven software development
  • Offline-first system architecture
  • Backend engineering for analytical platforms
  • Real-world field validation and user testing
  • Building technology solutions for underserved operational environments