<![CDATA[The selection of outstanding students at SMA Negeri 1 Utan still relies on spreadsheet recapitulation and teachers’ council deliberation without standardized criteria weighting, resulting in inconsistent assessment outcomes. This study develops a Decision Support System and compares the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) and Additive Ratio Assessment (ARAS) methods using Analytical Hierarchy Process (AHP) weighting. The dataset consists of 748 students evaluated using six criteria: average general/non-core subject scores, extracurricular activities, attendance, attitude, achievements, and average core subject scores. AHP produced a Consistency Ratio of 0.0249, indicating consistent weights. MOORA and ARAS then ranked students using the same dataset and weights. Keysa Alya Sabila ranked first in both methods, with a MOORA preference value (Yi) of 0.0542 and an ARAS utility value (Ki) of 1.0523, although several other alternatives differed in position due to differences in normalization and calculation mechanisms. Manual validation on three alternatives produced the same ranking in both methods, and Black Box Testing on 15 scenarios showed that all system functions operated as expected. The system supports a more structured and transparent outstanding-student selection process.]]>
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