Home⇛Isabela State University Linker: Journal of Engineering, Computing and Technology⇛vol. 2 no. 1 (2025)

Development of an Integrated Natural and Socioeconomic Indicators Monitoring System for Bulacan Using Earth Intelligence Tools

Mark Neil Pascual | Jeffrey T. Leonen

Discipline: information systems

 

Abstract:

This study introduced an Integrated Natural and Socioeconomic Indicators Monitoring System for Bulacan aimed at strengthening local flood risk assessment and enhancing disaster resilience. It aligns with broader disaster risk reduction goals by integrating real-time Earth observation data, predictive analytics, and stakeholder-centered design to support proactive, community-level decision-making. The system adopted a Single Page Application (SPA) architecture using React.js for dynamic visualization and Django REST API for efficient backend data processing, chosen for their scalability, responsiveness, and suitability for real-time applications. Methodologically, the study follows a Design and Development Research (DDR) approach integrating satellite data, geospatial layers, socioeconomic indicators, and local dam telemetry. Stakeholder testing in Meycauayan City revealed substantial improvements in flood prediction accuracy, supporting timely response actions. Results also showed high satisfaction levels among users, with notable gains in usability and decision support. The key challenges included data integration and maintaining responsiveness during peak data loads. Overall, the study contributes a practical, replicable tool that addresses key limitations in fragmented disaster monitoring systems. Recommendations include expanding multi-hazard capabilities, stakeholder training, and continued system enhancement to advance resilience efforts in flood-prone regions.



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