IndoClimate Chatbot

AI-powered climate change information dissemination system

Project Overview

The IndoClimate chatbot is an innovative artificial intelligence system designed to disseminate climate change news and policy information across Indonesia. This project represents a collaborative effort between Universitas Gadjah Mada and Deakin University, Australia, funded through the KONEKSI grant program.

Research Objectives

  • Automated Content Processing: Develop NLP algorithms to extract and process climate-related news from Indonesian online media
  • Policy Information Management: Create a comprehensive database of climate policies across Indonesian regions
  • Intelligent User Interaction: Implement conversational AI capabilities for user-friendly information access
  • Multilingual Support: Ensure effective communication in Bahasa Indonesia with regional language considerations

Technical Approach

The project employs state-of-the-art natural language processing techniques specifically adapted for the Indonesian language context. Key technical components include:

Language Processing Pipeline

  • Indonesian text preprocessing and normalization
  • Named entity recognition for climate-related terms
  • Sentiment analysis for policy impact assessment
  • Topic modeling for content categorization

Knowledge Management System

  • Real-time news aggregation from multiple sources
  • Policy database with geographic and temporal indexing
  • Fact-checking integration for information accuracy
  • User query intent recognition and response generation

Impact and Applications

Climate Awareness

Supporting public understanding of climate change issues through accessible information delivery and educational content tailored to Indonesian contexts.

Policy Transparency

Enhancing government transparency by making climate policies more accessible to citizens across different regions of Indonesia.

Research Integration

Contributing to climate informatics research by developing Indonesian-language climate communication tools and methodologies.

Collaboration Framework

This project exemplifies international academic collaboration, involving:

  • Technical Development: Joint research teams from UGM and Deakin University
  • Funding Support: KONEKSI grant (Australian DFAT, Ministry PPN/Bappenas, BRIN, Ministry of Education)
  • Community Engagement: Workshops with stakeholders including BMKG and local government representatives

Project Team Members (UGM)

  • Dr. Yunita Sari
  • Dr. Arif Nurwidyantoro
  • Muhammad Oriza Nurfajri
  • Faturahman Yudanto

Current Status

The chatbot has been successfully developed and presented at the KONEKSI Connect #8 workshop, demonstrating its capabilities to academics, media representatives, and government stakeholders. The system is currently accessible in the IndoClimate or Counterinfodemics websites. The project has been concluded in June 2025.

Future Directions

  • Expansion to cover more Indonesian regions and local languages
  • Integration with real-time climate monitoring data
  • Development of mobile applications for broader accessibility
  • Enhancement of AI capabilities through continuous learning mechanisms