ALTRACK: An Alumni Tracking Information System with Predictive Analytics for Enhanced Graduate Monitoring at Urdaneta City University

Abstract

The development and evaluation of ALTRACK: An Alumni Tracking Information System with Predictive Analytics for Enhanced Graduate Monitoring at Urdaneta City University focused on addressing the limitations of the university’s manual and fragmented graduate tracer process. The system was designed to improve the collection, management, and analysis of alumni data, provide real-time employment tracking, support job matching, and generate data-driven insights through predictive analytics to enhance institutional decision-making and curriculum development. The study employed a descriptive-developmental research design using the Rapid Application Development (RAD) model, which involved requirements planning, user design, construction, and implementation. The system was evaluated by alumni and key university stakeholders in terms of usability, performance, reliability, maintainability, and security using a weighted mean analysis. Results revealed that ALTRACK obtained a highly acceptable rating across all evaluation criteria, with an overall weighted mean of 4.76, indicating strong user acceptance. The findings also showed that the system effectively addresses common issues in traditional tracer studies such as incomplete records, delayed reporting, and lack of centralized data management. The study concludes that ALTRACK is an effective and efficient solution for modernizing alumni tracking at Urdaneta City University. It enhances graduate monitoring, improves employment data accuracy, and supports evidence-based institutional planning. The system is recommended for full implementation and integration with existing university information systems to further strengthen alumni engagement and graduate outcome tracking.