<![CDATA[The determination of village development priorities through Village Development Planning Deliberation often faces subjectivity, limited analytical instruments, and difficulties in evaluating multiple alternatives and criteria simultaneously. Conventional approaches such as Simple Additive Weighing (SAW) and TOPSIS exhibit different characteristics in distinguishing alternatives with similar evaluation profiles. This study proposed a group decision support system model based on nonlinear utility for adaptive collective decision-making. The model integrated the Analytical Hierarchy Process (AHP) for sector weighing, the Simple Multi-Attribute Rating Technique (SMART) with nonlinear utility functions for alternative evaluation, and the Borda method for preference aggregation. The proposed model was compared with AHP–SAW–Borda and AHP–TOPSIS–Borda using a case study involving 24 development program alternatives classified into 5 development sectors and evaluated using 6 assessment parameters. The results showed that the proposed model maintained globally consistent ranking structures across both comparison approaches. Spearman correlation coefficients reached 0.9389 for SMART versus SAW and 0.9519 for SMART versus TOPSIS, indicating strong consistency across additive and distance-based evaluation paradigms. Ranking variations mainly occurred among mid-ranked alternatives, while dominant priorities remained stable. The findings indicate that nonlinear utility transformation improves adaptive ranking sensitivity while preserving overall decision stability.]]>
