Integrated Student Information System with Descriptive Analytics

This study designed and developed an Integrated Student Information System with Descriptive Analytics, featuring the following technical features: a course eligibility evaluation portal, a grading portal, a curriculum management and design tool, and a descriptive analytics and insights dashboard. The system was developed using the Agile Software Development Life Cycle (SDLC) methodology and evaluated through functionality testing using test cases and usability evaluation using the Post-Study System Usability Questionnaire (PSSUQ). The respondents consisted of five (5) faculty evaluators, fifteen (15) students from the BSIS, BSIT, and BSCS programs, and one (1) registrar staff member, for a total of twenty-one (21) respondents. Results showed that the system achieved a 100% passing rate in functionality testing and was found to be functional and operational. The usability evaluation yielded an overall mean score of 1.17, indicating very high acceptability for system usefulness, information quality, interface quality, and overall usability. In addition, a user manual was developed to provide guidance on proper system use. Recommendations include integrating the system with existing enrollment platforms, improving the grading portal for easier grade uploads, implementing real-time notifications, and expanding the application of Decision Tree Prediction for student evaluation and curriculum insights. Further studies are recommended to improve the stability and accuracy of predictive analytics for enrollment evaluation and course eligibility assessment. The Integrated Student Information System with Descriptive Analytics provides valuable support in improving academic management, enrollment evaluation, and data-driven decision-making in educational institutions.