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International Journal of Research and Scientific Innovation (IJRSI)

Decision Support System for Faculty Selection, Promotion, and Reclassification Using Predictive Analytics

byH. R. Lucero.; N. C. Gagolinan.; M. C. Lucero.,; M. H. Manila

Published October 13, 2025  •  Vol. 12, Issue 9, pp. 3793–3799Open Access
DOI: 10.51244/IJRSI.2025.120800339

Abstract

This study aims to design and develop a Decision Support System for Faculty Selection, Promotion, and Reclassification Using Predictive Analytics to replace the inefficiencies of manual processes in higher education institutions. Using logistic regression, the system evaluates faculty performance, tenure, and credentials to ensure fair, data-driven decisions. Guided by Agile Scrum, it was iteratively refined through stakeholder feedback. System testing, based on ISO 25010 standards, showed high ratings in functionality, performance, usability, reliability, security, and maintainability, with an overall weighted mean of 4.56, described as Highly Acceptable. User evaluation via the Technology Acceptance Model (TAM) also indicated strong acceptance, with an overall mean score of 4.45. Overall, the results confirm that the system not only meets international software quality standards but is also positively received by users, highlighting its potential to enhance transparency, accuracy, and data-driven decision-making in faculty selection, promotion, and reclassification.

Keywords: Human Resource System, Predictive Analytics, Linear Regression, Agile Scrum

JournalInternational Journal of Research and Scientific Innovation (IJRSI)
ISSN2321-2705
Volume / IssueVolume 12, Issue 9
Pages3793–3799
Publication dateOctober 13, 2025
DOI10.51244/IJRSI.2025.120800339
PublisherRSIS International
LicenseOpen Access

How to cite this article

H. R. Lucero., N. C. Gagolinan., M. C. Lucero.,, & M. H. Manila (2025). Decision Support System for Faculty Selection, Promotion, and Reclassification Using Predictive Analytics. International Journal of Research and Scientific Innovation (IJRSI), 12(9), 3793-3799. https://doi.org/10.51244/IJRSI.2025.120800339

BibTeX

@article{H2025,
  title   = {Decision Support System for Faculty Selection, Promotion, and Reclassification Using Predictive Analytics},
  author  = {H. R. Lucero. and N. C. Gagolinan. and M. C. Lucero., and M. H. Manila},
  journal = {International Journal of Research and Scientific Innovation (IJRSI)},
  volume  = {12},
  number  = {9},
  pages   = {3793--3799},
  year    = {2025},
  doi     = {10.51244/IJRSI.2025.120800339},
  publisher = {RSIS International}
}