Prioritizing Regional Research and Innovation Program Proposals Using a MOORA-Based Decision Support System: A Case Study of Asahan Regency
DOI:
https://doi.org/10.35870/ijsecs.v6i2.7531Keywords:
Decision Support System, MOORA Method, Proposal Prioritization, Regional Research and Innovation, BAPPERIDAAbstract
The evaluation of regional research and innovation program proposals at the Regional Planning, Research, and Development Agency (BAPPERIDA) of Asahan Regency is still conducted manually, which may lead to subjectivity and inefficiency in the decision-making process. This study aims to develop a Decision Support System (DSS) using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to support the prioritization of regional research and innovation proposals. The study evaluates ten proposal alternatives based on five criteria: program relevance, innovation level, implementation potential, resource readiness, and budget feasibility. The criterion weights were determined through expert judgment involving five evaluators from BAPPERIDA. The MOORA method was applied to normalize the evaluation data, incorporate the criterion weights, and calculate the optimization value for each alternative. The results show that alternative A8, Gunting Saga (Gerakan Cegah Stunting Siap Siaga), obtained the highest optimization score of 0.2340, followed by A7 with 0.2097 and A3 with 0.2082. The results indicate that the proposed DSS can provide a structured ranking of regional research and innovation proposals based on predetermined criteria and weights. The system can support BAPPERIDA in evaluating proposals and determining priority programs in a more systematic and measurable manner.
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