Esperanza, Rodolfo V. Jr., Abrio, J.P. Y., Bacani, J.R.Z., Dumo,Roma Lindxy E., Paguirigan, Charles C.2026-09-082026-09-082025-05Esperanza, R.V., Jhon Poul Y., Bacani, John Richmond Z., Dumo, R.L.E., Paguirigan, C.C. (2025). [Unpublished Undergraduate Thesis]. Don Mariano Marcos Memorial State University – Mid La Union Campus, City of San Fernando, La Union. Lakasa ti Sirib, DMMMSU Institutional Repository.https://lakasa.dmmmsu.edu.ph/handle/123456789/2455Abstract onlyThis study developed and evaluated the Automatic Evaluation System for Academic Achievers (AESFAA) for Don Mariano Marcos Memorial State University using the MERN stack. Utilizing a descriptive developmental approach, the system aimed to automate the identification of the top 10% of students per year level through a cluster-based analysis of academic performance, with GPA as the primary metric. The system was evaluated using the ISO/IEC 25010:2011 software quality standard, focusing on functional suitability, performance efficiency, reliability, security, and maintainability. Results showed that the AESFAA was successfully designed and developed, exhibiting strong functionality, user-friendliness, and scalability. It received consistently high mean scores across all quality attributes, confirming its effectiveness, reliability, and readiness for academic application. The study concludes that AESFAA is a viable and efficient tool for automating the academic achiever evaluation process and is recommended for institutional implementation.en