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

Vera Wijaya; Fifto  Nugroho; Kraugusteeliana  Kraugusteeliana

doi:10.47709/cnahpc.v6i3.4389

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

Dimension Badge Record

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.

Downloads

Download data is not yet available.

Google Scholar Cite Analysis
Abstract viewed = 77 times

References

Aljonaid, N. N., Qin, F., & Zhang, Z. (2022). The Heterogeneous Impact of Sectoral Foreign Aid Inflows on Sectoral Growth: SUR Evidence From Selected Sub-Saharan African and MENA Countries. Journal of Risk and Financial Management, 15(3), 107. https://doi.org/10.3390/jrfm15030107

Barus, A. A. P., Tarigan, I. J., Wijaya, V., & Manullang, S. F. (2023). Implementation of Analytichal Hierarchy Process (AHP) Method in Determining Employee Performance Case Study: Ora Et Labora Shop. Antivirus: Jurnal Ilmiah Teknik Informatika, 17(2), 286–295.

Dreher, A., Simon, J., & Valasek, J. (2021). Optimal Decision Rules in Multilateral Aid Funds. The Review of International Organizations, 16(3), 689–719. https://doi.org/10.1007/s11558-020-09406-w

Du, M., Zhao, Y., Fang, T., Fan, L., Zhang, M., Huang, H., & Mei, K. (2022). Evaluating the Inequality of Medical Resource Allocation Based on Spatial and Non-Spatial Accessibility: A Case Study of Wenzhou, China. Sustainability, 14(14), 8331. https://doi.org/10.3390/su14148331

Fahri, J. (2022). EXPLORING CITIZEN’S SATISFACTION WITH THE INFRASTRUCTURE OF SERVICES AT A LOCAL SEAPORT IN TERNATE, NORTH MALUKU. Journal of Indonesian Economy and Business: JIEB., 37(2), 103–135.

Hutahaean, J., Nugroho, F., Kraugusteeliana, D. A., & Aini, Q. (2023). Sistem Pendukung Keputusan. Yayasan Kita Menulis.

Kharisma, L. P. I., Yahya, S. R., Handayanto, R. T., Gunawan, I. M. A. O., Handika, I. P. S., Hatta, H. R., & Syamil, A. (2023). METODE SPK FAVORIT DI MASA DEPAN: Teori dan Contoh. PT. Sonpedia Publishing Indonesia.

Khuangnata, V., Alamsyah, R., & Wijaya, V. (2021). SPK Penentuan Pemberian Beasiswa Dengan Metode Saw. Methotika: Jurnal Ilmiah Teknik Informatika, 1(2), 1–10.

Komor, A. (2020). The Economic Dimension of Space. European Research Studies Journal, XXIII(Issue 1), 429–452. https://doi.org/10.35808/ersj/1561

Kraugusteeliana, K., & Violin, V. (2024). Application of Decision Support in Performance Assessment of Delivery Services in the E-Commerce Industry. Jurnal Galaksi, 1(1), 53–61.

Lubis, A. I., Sihombing, P., & Nababan, E. B. (2020). Comparison SAW and MOORA Methods with Attribute Weighting Using Rank Order Centroid in Decision Making. 2020 3rd International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT), 127–131. https://doi.org/https://doi.org/10.1109/MECnIT48290.2020.9166640

Mahendra, G. S., Wardoyo, R., Pasrun, Y. P., Sudipa, I. G. I., Putra, I. N. T. A., Wiguna, I. K. A. G., Aristamy, I. G. A. A. M., Kharisma, L. P. I., Sutoyo, M. N., & Sarasvananda, I. B. G. (2023). IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN: Teori & Studi Kasus. PT. Sonpedia Publishing Indonesia.

Muni, G. D. S., Sudipa, I. G. I., Meinarni, N. P. S., Wiguna, I. K. A. G., & Sandhiyasa, I. M. S. (2024). Comparison of MAGIQ, MABAC, MARCOS, and MOORA Methods in Multi-Criteria Problems. Sinkron: Jurnal Dan Penelitian Teknik Informatika, 8(3), 1286–1301.

Nugroho, F., Triayudi, A., & Mesran, M. (2023). Sistem Pendukung Keputusan Rekomendasi Objek Wisata Menerapkan Metode MABAC dan Pembobotan ROC. Jurnal Sistem Komputer Dan Informatika (JSON), 5(1), 112–121.

Piantari, N. K. A., Putra, I. N. T. A., Widiastutik, S., & Kartini, K. S. (2024). Comparative Analysis of The MOORA Method for Evaluating The Effectiveness of Scholarship Acceptance. Jurnal Galaksi, 1(1), 22–32.

Purwanto, M. Y. J., & Utami, S. (2023). Government Expenditure Efficiency on Human Development in the Underdeveloped Regions. Efficient Indonesian Journal of Development Economics, 6(1), 60–72. https://doi.org/10.15294/efficient.v6i1.57841

Ramli, Y., Imaningsih, E. S., Shiratina, A., Rajak, A., & Ali, A. J. (2022). Environmental sustainability: To enhance organizational awareness towards green environmental concern. International Journal of Energy Economics and Policy, 12(4), 307–316.

Rustiawan, I., Purwati, S., Kraugusteeliana, K., & Bakri, A. A. (2023). Teknik Penilaian Kinerja Karyawan Menggunakan Metode Behaviour Anchor Rating Scale dalam Pemeringkatan Karyawan Terbaik. Jurnal Krisnadana, 2(3), 403–411. https://doi.org/https://doi.org/10.58982/krisnadana.v2i3.316

Sudipa, I. G. I., Kharisma, L. P. I., Waas, D. V., Sari, F., Sutoyo, M. N., Rusliyadi, M., Setiawan, I., Martaseli, E., Sandhiyasa, I. M. S., & Sulistianto, S. W. (2023). PENERAPAN DECISION SUPPORT SYSTEM (DSS) DALAM BERBAGAI BIDANG (Revolusi Industri 4.0 Menuju Era Society 5.0). PT. Sonpedia Publishing Indonesia.

Sudipa, I. G. I., Wardoyo, R., Hatta, H. R., Sagena, U., Gunawan, I. M. A. O., Zahro, H. Z., & Adhicandra, I. (2023). MULTI CRITERIA DECISION MAKING: Teori & Penerapan Metode Pengambilan Keputusan dengan MCDM. PT. Sonpedia Publishing Indonesia.

Valentine, H. M., Ramos, S., Nugroho, F., & Mesran, M. (2022). Penerapan Metode ROC-TOPSIS dalam Keputusan Penerima Program Keluarga Harapan. Journal of Computer System and Informatics (JoSYC), 4(1), 203–211.

Yoo, E. Y. (2021). Chinese Development Finance and Its Determinants: Does Global Governance Matter? Development Policy Review, 39(3), 471–492. https://doi.org/10.1111/dpr.12514

Zhang, J., Cai, J., He, Z., Pu, C., & Tang, G. (2020). Analysis on the Differences of Health Resources Allocation in Undeveloped Areas of Chongqing, China: A Cross-Sectional Study. Journal of Service Science and Management, 13(02), 244–260. https://doi.org/10.4236/jssm.2020.132016