Abstract
This study employed the Simple Additive Weighting (SAW) method within a Decision Support System (DSS) to evaluate student admissions in the field of education. By assigning weights to criteria and calculating weighted scores for alternatives, the study ranked the applicants and identified the most preferred choices. The results revealed that Emily was the top-ranked candidate, followed by Olivia, Sarah, John, and Benjamin. The findings highlight the effectiveness of the SAW method and DSS in facilitating data-driven decision-making processes in education. However, limitations in subjective weight assignment and criteria selection should be considered. Future research should explore alternative decision analysis techniques and address implementation challenges.
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