<![CDATA[Selecting soybean seed varieties requires simultaneous consideration of several physical and physiological indicators. This study develops an objective decision model by integrating the Criteria Importance Through Intercriteria Correlation (CRITIC), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA). Secondary data were obtained from the 2019 UPBS Balitkabi seed germination laboratory test published by the Indonesian Ministry of Agriculture. Eight soybean varieties were evaluated using seven criteria: seed vigor, normal germination, abnormal germination, dead seeds, fresh ungerminated seeds, moisture content, and 100-seed weight. CRITIC generated objective weights from data variability and intercriteria conflict; TOPSIS and MOORA were then used independently to rank the alternatives. The highest CRITIC weights were assigned to moisture content (0.1738), 100-seed weight (0.1660), and vigor (0.1531). TOPSIS and MOORA consistently selected Dena 1 as the best variety, with preference values of 0.8574 and 0.0544, respectively. Detap 1 ranked last in both methods. The Spearman rank correlation of 0.9286 indicates very strong agreement between both rankings. The proposed model provides a transparent and reproducible approach for prioritizing soybean seed varieties using publicly available laboratory data without subjective expert weighting.]]>
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