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Automatic evaluation system for academic achievers

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dc.contributor.authorEsperanza, Rodolfo V. Jr., Abrio, J.P. Y., Bacani, J.R.Z., Dumo,Roma Lindxy E., Paguirigan, Charles C.
dc.date.accessioned2026-09-08T09:36:45Z
dc.date.available2026-09-08T09:36:45Z
dc.date.issued2025-05
dc.descriptionAbstract only
dc.description.abstractThis 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.
dc.identifier.citationEsperanza, 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 [Unpublished Undergraduate Thesis].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.
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/2455
dc.language.isoen
dc.publisherDon Mariano Marcos Memorial State University – Mid La Union Campus
dc.sdgSDG 12
dc.titleAutomatic evaluation system for academic achievers
dspace.entity.typePublication
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