Development and Evaluation of a Web-Based GIS-Enabled Demographic Profiling System for Data-Driven Local Government Policy Making
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effective local governance. However, many municipalities in the 2nd District of Samar have yet to gather and collate household data automatically. Advanced methods often yield siloed datasets that clutter analysis and reduce the likelihood of spatial visualization. Consequently, the information generated is less useful in formulating effective sub-national policies. Furthermore, current demographic information systems are not integrated with GIS or web-based applications, creating a disconnect between data collection and information generation. This study aimed to fill the gap by developing a web-based GIS-enabled demographic profiling system to strengthen evidence-based policy-making among local government units (LGUs) in the 2nd District of Samar. The system integrates household-level demographic records and visualizes them through interactive GIS maps and dashboards for easier access, management, and spatial analysis. A descriptive research design was used to evaluate the system's functionality, reliability, usability, efficiency, maintainability, and portability, following the ISO 9126/25010 software quality framework. Further, the system's development follows the Waterfall System Development Life Cycle (SDLC) model. Results showed that the system met essential software quality standards and substantially improved how demographic data are accessed and analyzed. Thus, the system enhances Samar’s LGUs' ability to design well-informed, inclusive, and community-oriented local policies.
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