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Optimizing Decision-Making for Aid Allocation in Underdeveloped Regions Using the MOORA Method

Authors

  • Vera Wijaya Prodi Teknologi Informasi, Fakultas Sains dan Teknologi , Universitas Mahkota Tricom Unggul, Indonesia
  • Fifto Nugroho Ilmu Komputer, Sistem Komputer, Universitas Bung Karno, Indonesia
  • Kraugusteeliana Kraugusteeliana Prodi Sistem Informasi, Fakultas Ilmu Komputer,Universitas Pembangunan Nasional Veteran Jakarta, Indonesia

DOI:

10.47709/cnahpc.v6i3.4389

Keywords:

Aid Allocation, MOORA Method, Aid Recipient Selection, Underdeveloped Regions

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Abstract

The allocation of assistance for the Family Hope Program is a process that requires precision to ensure that assistance is given to those most in need. This research develops a Decision Support System (DSS)  using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method for optimizing the selection of beneficiaries in disadvantaged villages which includes criteria used including education, toddlers, pregnant women, disabilities, elderly, income, employment, number of dependents, and house size. Each criterion is normalized and given a weight according to its level of importance. The results show that alternative A2 has the highest optimization value with Yi of 0.254, followed by A8 (0.208) and A5 (0.204). In contrast, alternatives A3 (0.029) and A10 (0.035) have the lowest optimization value. Matrix normalization and criteria weights show the significant influence of the criteria of education, pregnant women, elderly, income, number of dependents, and house size in the selection process. The implementation of DSS with the MOORA method is proven to increase efficiency and accuracy in the selection process of Family Hope Program beneficiaries, reduce subjective errors, and ensure assistance is channeled to those who really need it. Therefore, the MOORA method is recommended as an effective tool to optimize social assistance allocation, increase transparency, and reduce bias in decision-making.

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ARTICLE Published HISTORY

Submitted Date: 2024-07-24
Accepted Date: 2024-07-24
Published Date: 2024-07-31

How to Cite

Wijaya, V., Nugroho, F. ., & Kraugusteeliana, K. . (2024). Optimizing Decision-Making for Aid Allocation in Underdeveloped Regions Using the MOORA Method. Journal of Computer Networks, Architecture and High Performance Computing, 6(3), 1682-1692. https://doi.org/10.47709/cnahpc.v6i3.4389