Early Warning
Receive real-time notifications when earthquakes occur in your selected areas and thresholds.
The Adaptive Disaster Analytics (ADA) Framework is an intelligent platform that supports institutions and communities in disaster risk reduction. Originally introduced through AdaGempa for earthquake evacuation routing, the framework expands as an umbrella for multi-hazard applications such as flood analysis and beyond. By leveraging K-Nearest Neighbor (KNN) enhanced with Reinforcement Learning (RL) and integrating authoritative real-time hazard data (e.g., USGS ShakeMap), ADA delivers accurate, data-driven evacuation recommendations.
ADA Framework is not intended for public use. It is developed for educational institutions, government agencies, and organizations that formally collaborate with the ADA development team.
We welcome partnerships with parties who share our mission in disaster mitigation and education.
For collaboration inquiries, please contact the development team via the official channels.
Data-driven features to support institutional decision-making for preparedness, response, and evacuation planning.
Receive real-time notifications when earthquakes occur in your selected areas and thresholds.
Explore global and local epicenters with magnitude, depth, and time filters for rapid situational awareness.
Analyze intensity (MMI), PGA/PGV, and site conditions (e.g., VS30) to assess potential impact on infrastructure.
Compute safest and fastest routes using KNN enhanced with RL, integrated with authoritative ShakeMap data.
Access historical catalogs to identify seismic patterns and support risk assessments for specific regions.
Access preparedness guidelines, SOPs, and institutional playbooks tailored to earthquake scenarios.
Gedung C3, Ketintang, Kec. Gayungan, Surabaya, Jawa Timur 60231, Indonesia
Kampus 1 Universitas Negeri Surabaya
Lead Developer (ADA Framework)
ADA Framework / UNESA
Head of Research Team (Lecturer)
UNESA
Research Lecturer
UNESA
Supervising Professor
UNESA