Abstract

This study aims to develop a weighting technique for evaluating the poverty criteria of prospective recipients of the Indonesia smart card (KIP) scholarship by applying three weighting methods: the analytic hierarchy process (AHP) as a subjective approach, entropy as an objective approach, and a hybrid model that combines both. The resulting weights from these methods are then used in the poverty level ranking process using the višekriterijumsko kompromisno rangiranje (VIKOR) method, a multi-criteria decision-making technique based on compromise solutions. The analysis reveals that the hybrid weighting model, with a λ value of 0.8—representing an 80% subjective and 20% objective weighting proportion—achieves a ranking stability level of 61%. These findings indicate that the hybrid approach enhances the accuracy and consistency of ranking prospective KIP scholarship recipients. Sensitivity testing shows that the Hybrid+VIKOR method produced the smallest percentage change at 1.20%, compared to 5.06% for AHP+VIKOR and 53.71% for Entropy+VIKOR. A smaller percentage change signifies greater ranking stability, indicating that the results are less affected by minor variations in the criteria weights.

Keywords

KIP scholarship, Poverty criteria weighting, Analytic hierarchy process (AHP), Entropy, Hybrid weighting model, VIKOR method.

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