SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMA BEASISWA PERGURUAN TINGGI MENGGUNAKAN INTEGRASI METODE ANALYTIC HIERARCHY PROCESS (AHP) DAN MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA)

Abstract

Higher education scholarship allocation serves as an indispensable instrument to foster socio-economic equity and incentivize undergraduate scholastic achievement. Nonetheless, conventional institutional selection procedures encounter critical vulnerabilities, including multidimensional criteria conflicts and evaluator subjectivity. This research engineers an integrated Decision Support System (DSS) synthesizing the Analytic Hierarchy Process (AHP) for objective criteria prioritization with Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) for alternative preference scoring. Six criteria—encompassing Grade Point Average, Parental Income, Number of Dependents, Non-Academic Honors, Residential Condition, and Extracurricular Leadership—were weighted across 30 candidates. AHP pairwise comparisons yielded a Consistency Ratio of 0.042 (< 0.10), confirming absolute mathematical consistency. The MOORA method definitively mapped the top 10 scholarship recipients with preference index scores ranging from 0.3815 to 0.2140. Sensitivity analysis confirms high ranking stability, providing an accountable computational framework for academic bursary administration.