Author
Listed:
- Hernan Jr. E. Trillano
(Faculty, South East Asian Institute of Technology, Inc., Philippines)
- Reginald S. Prudente
(CICT Dean, South East Asian Institute of Technology, Inc., Philippines)
- Lina A. Mondejar
(SEAIT Research Director, South East Asian Institute of Technology, Inc., Philippines)
Abstract
Alumni Tracer Systems track graduates’ career paths and determine whether they correspond with their undergraduate degrees. These systems help institutions understand employment trends and how well their programs prepare students for the workforce. South East Asian Institute of Technology, Inc. (SEAIT) lacks a system to monitor its alumni, making it difficult to determine whether graduates pursued careers related to their studies. To address this, the SEAIT Alumni Tracer and Management System with Data Analytics was developed as a practical solution by integrating multiple features to improve alumni tracking and engagement. It was designed to aid the institution in keeping track of and strengthening its connection with its graduates. The system was created using the Agile methodology, with iterative sprints ensuring continuous improvements based on survey feedback and data-driven decision-making through data analytics. The System Usability Scale (SUS) evaluation yielded a high average score of 86.67, confirming the system’s usability and effectiveness. The system proved to be practical and viable in assisting SEAIT in monitoring its graduates and enhancing its academic programs by evaluating career alignment with fields of study and supporting data-driven improvements in education. Therefore, the implementation of the system was strongly recommended.
Suggested Citation
Hernan Jr. E. Trillano & Reginald S. Prudente & Lina A. Mondejar, 2025.
"Alumni Tracer and Management System with Data Analytics: Enhancing Alumni Engagement and Data Management for South East Asian Institute of Technology, Inc,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(4), pages 5142-5155, April.
Handle:
RePEc:bcp:journl:v:9:y:2025:issue-4:5142-5155
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