DEPED SDO – LAGUNA HRIS: RECRUITMENT, SELECTION, AND PLACEMENT WITH DECISION SUPPORT SYSTEM (DSS)
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Abstract
This study presents the design and implementation of an intelligent Human Resource Information System (HRIS) for the Department of Education (DepEd) Schools Division Office (SDO) of Laguna, focused on enhancing Recruitment, Selection, and Placement (RSP) processes through a Decision Support System (DSS). Anchored in Decision Theory, Human Resource Management (HRM) Theory, and Systems Theory, the study responds to challenges in traditional recruitment methods, such as inefficiencies, bias, and data handling limitations, by leveraging advanced technologies, including Natural Language Processing (NLP) and the Naive Bayes classifier. Employing a mixed methods approach, the research integrates structured applicant data, automates evaluations, and utilizes predictive analytics to ensure strategic, data-driven decision making. Results highlight the system's ability to streamline applicant screening, enhance transparency, and optimize placement accuracy. Ultimately, the developed HRIS-DSS model demonstrates a scalable, replicable framework for modernizing public education HR operations and significantly advances the digital transformation of government HR practices.
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