Application of the Preference Selection Index (PSI) Method in the Decision Support System for Selecting Prospective OSIS Chairpersons at SMAN 1 Mandrehe

Abstract

The process of selecting the OSIS president begins with the selection of candidates by the OSIS advisor; at SMAN 1 Mandrehe, this process is still done manually and is prone to subjectivity. Previous decision support system (DSS) research used methods such as SAW, AHP, TOPSIS, WASPAS, and MAUT. All these methods rely on the decision-maker's criterion values. This applied research uses the Preference Selection Index (PSI) method, which evaluates the criteria values based on data variations in the decision support system (DSS) that selects the OSIS chairperson candidates. PSI has five criteria: report card grades, attendance percentage, organisational experience, leadership, communication, and vision-mission. The system was developed as a web-based application using the waterfall model and tested through user acceptance testing, black-box testing, and calculation accuracy testing. The calculations performed on fifteen potential candidates resulted in a valid weighting, with attendance percentage as the most important criterion (0.2487) and work experience as the least important criterion (0.0366). With an index of 0.9768, alternative A11 ranked first. Additionally, this study found that the attendance criterion in the form of costs produces a negative weight, so the condition Φj > 0 is required for every calculation. The test results show that this system can assist OSIS advisors in selecting candidates fairly and transparently, without using student voting as a substitute.