E-xtension: A Progressive Web-Based Information Management System with Predictive Analytics for the Center for Community Development and Extension Services of Urdaneta City University
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Keywords

Community extension services
Data analytics
Information management system
Predictive analytics
Progressive web application

How to Cite

Molano, R. M., Villanueva, L. G. V., Tablatin, C. L. S., & Acosta, M. E. (2025). E-xtension: A Progressive Web-Based Information Management System with Predictive Analytics for the Center for Community Development and Extension Services of Urdaneta City University. Southeast Asian Journal of Science and Technology, 10(1), 428-440. Retrieved from https://sajst.pti.edu.ph/online/index.php/sajst/article/view/413

Abstract

This study presents the development of E-xtension: A Progressive Web-Based Information Management System with Predictive Analytics for the Center for Community Development and Extension Services of Urdaneta City University. The study aimed to address inefficiencies in the manual management of university extension services, particularly in planning, monitoring, evaluation, documentation, and reporting processes. A descriptive-developmental research design was employed, and the system was developed using the Extreme Programming (XP) methodology to support iterative development, continuous feedback, and stakeholder collaboration. The developed system was implemented as a Progressive Web Application (PWA) to ensure accessibility, responsiveness, and cross-platform usability across devices. The system integrates modules for project proposal management, extension activity monitoring, evaluation and feedback management, accomplishment reporting, and partner and linkage management. In addition, predictive analytics features were incorporated, including extension impact prediction, participation forecasting, sentiment analysis of beneficiary feedback, performance evaluation dashboards, and recommendation of future extension programs. Data visualization tools such as Sustainable Development Goals (SDG) analytics and trend analysis dashboards were also integrated to support data-driven decision-making. System usability was evaluated using the System Usability Scale (SUS) with 16 respondents, yielding a score of 90, interpreted as excellent usability. Findings indicate that the developed system improves efficiency, transparency, accessibility, and decision-making in extension service management. The integration of Progressive Web-based Application technology and predictive analytics provides a scalable, adaptive, and data-driven solution for improving university extension service operations and community engagement.
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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2025 Reynaldo M. Molano, Leo Gabriel V. Villanueva, Christine Lourrine S. Tablatin, Michael E. Acosta