System for Optimizing Social Assistance Distribution for the Community of Beber Village Using the MOORA Method
Keywords:
Social Assistance, Beber Village, MOORA Method, Vector Normalization, Decision Support SystemAbstract
Social assistance (*bansos*) is a crucial government intervention program aimed at improving the living standards of underprivileged communities. However, manual selection processes at the village level often face challenges regarding objective targeting, time efficiency, and susceptibility to subjective bias. This study presents a web-based Decision Support System (DSS) implementing the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to optimize social assistance distribution in Beber Village, Cirebon Regency. The proposed framework integrates fourteen multi-sectoral socio-economic criteria—encompassing both benefit and cost attributes (such as monthly income, number of dependents, housing conditions, sanitation, and history of aid receipt). By applying square root vector normalization and objective index (Yi) optimization, the system transforms subjective qualitative evaluations into precise, automated, and consistent ranking results. Computational verification and Black-Box testing demonstrate a 100% calculation accuracy rate compared to manual spreadsheet calculations, while also eliminating data entry errors and significantly reducing data processing time. The system provides village authorities with a transparent, accountable, and auditable decision-making tool to minimize the risk of allocation errors (inclusion and exclusion errors) in the distribution of social assistance.
Downloads
References
[1] M. T. A. B and A. F. Nasution, "Sistem Pendukung Keputusan Penerimaan Bantuan Sembako Menerapkan Metode Moora Studi Kasus: Desa Pulo Sanggar," Jurnal Sains Dan Teknologi Informasi, vol. 3, no. 2, pp. 79–86, 2024, doi: 10.47065/jussi.v3i2.4887.
[2] E. G. Bancin, E. Bangun, M. Syahrizal, and H. Rohayani, "Sistem Pendukung Keputusan Penerimaan KIP Menggunakan Metode Multi-Objective Optimization by Ratio Analysis (MOORA)," Journal of Decision Support System Research, vol. 2, no. 2, pp. 48–55, 2025.
[3] C. I. Gunawan, Sistem Informasi Manajemen dan E-Government. Jakarta: CV. IRDH, 2015.
[4] N. Firdaus, N. L. G. P. Suwirmayanti, and I. P. W. Putra, "Penerapan Metode Moora untuk Bantuan Langsung Tunai pada Badan Penanggulangan Bencana Daerah Provinsi Bali," Seminar Nasional Corisindo, pp. 586–592, 2022.
[5] S. J. Ghoushchi, K. Gharibi, E. Osgooei, M. N. Ab Rahman, and M. Khazaeili, "Risk Prioritization in Failure Mode and Effects Analysis with Extended SWARA and MOORA Methods Based on Z-Numbers Theory," Informatica, vol. 32, no. 1, pp. 41–47, 2021, doi: 10.15388/20-INFOR439.
[6] H. Gunawan, A. Y. Nugroho, R. E. Sari, and A. B. Nst, "Increasing the Accuracy of Recipient Selection for the Smart Indonesia Program (PIP) Using the Moora Method," Formosa Journal of Applied Sciences, vol. 1, no. 7, pp. 1395–1410, 2022, doi: 10.55927/fjas.v1i7.2022.
[7] C. S. Harahap, Y. H. Syahputra, and K. Erwansyah, "Sistem Pendukung Keputusan Penerima Bantuan Desa Bangun Sari Baru Kecamatan Tanjung Morawa Menggunakan Metode MOORA," Jurnal Cyber Tech, vol. 4, no. 1, pp. 1–14, 2021.
[8] N. Hendrastuty et al., "G2M weighting: a new approach based on multi-objective assessment data (case study of MOORA method in determining supplier performance evaluation)," Indonesian Journal of Electrical Engineering and Computer Science, vol. 38, no. 1, pp. 403–416, 2025, doi: 10.11591/ijeecs.v38.i1.pp403-416.
[9] F. A. Hutajulu, T. Afrizal, and V. Febriana, "Penerapan Metode MOORA untuk Penentuan Penghargaan dan Karyawan Tetap," Jurnal Sistem Informasi, vol. 5, no. 4, pp. 313–320, 2025.
[10] R. D. Kurniawan and D. A. Sari, "Implementasi Metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) untuk Seleksi Penerima BLT," Jurnal Ilmiah Ilmu Komputer & Elektronika (MURAKOM), vol. 1, no. 1, pp. 61–73, 2025.
[11] K. Kusumawati and R. F. Rizki, "Penerapan Metode MOORA dalam Pengambilan Keputusan Penerima Bantuan Sosial," Jurnal Teknologi Informasi, vol. 10, no. 2, pp. 93–103, 2025.
[12] M. Umar, M. Hamidi, J. S. Joshi, F. P. Al Bahri, and R. Ramazalena, "Social Assistance Policy in Indonesia: Corruption, Politicization, and Governance Challenges," Jurnal Sosiologi Dialektika Sosial, vol. 11, no. 2, pp. 99–118, 2025, doi: 10.29103/jsds.v11i2.24299.
[13] A. M. Mentari, M. G. Resmi, and M. A. Sunandar, "Sistem Pendukung Keputusan Kelayakan Penerimaan Bantuan Beras di Desa Hegarmanah Berbasis Website Menggunakan Metode MOORA," JATI (Jurnal Mahasiswa Teknik Informatika), vol. 8, no. 5, pp. 9922–9928, 2024.
[14] S. A. Nugroho and N. Wakhidah, "Sistem Pendukung Keputusan Penerima Bantuan Sosial dengan AHP dan MOORA," Jurnal Transformatika, vol. 23, no. 1, pp. 54–66, 2025, doi: 10.26623/transformatika.v23i1.12244.
[15] A. A. Pasaribu, I. Saputra, and A. Karim, "Decision Support System for Recipients of Cash Social Assistance using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method," Journal of Decision Support System Research, vol. 2, no. 2, pp. 83–90, 2025, doi: 10.64366/dss.v2i2.95.
[16] J. K. Runtuk, S. Christanto, and P. K. Ng, "Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making," IEEE Access, vol. 13, pp. 8456–8468, 2025, doi: 10.1109/ACCESS.2024.3525362.
[17] W. Sari, H. L. Sari, and J. Fredricka, "Sistem Pendukung Keputusan Dalam Kelayakan Penerima Bantuan PKH Menggunakan Metode MOORA," Jurnal Media Infotama, vol. 21, no. 2, pp. 438–443, 2025, doi: 10.37676/jmi.v21i2.9185.
[18] W. C. S. Sinaga and G. J. M. Sinaga, "Penerapan Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Menggunakan Metode Smart," Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer, vol. 3, no. 1, pp. 43–52, 2026, doi: 10.61132/mars.v3i5.1100.
[19] F. Sinlae, L. Kalmany, R. Setiaji, and M. Syahrul, "Menjelajahi Dunia Web: Panduan Pemula Untuk Pemrograman Web," Jurnal Siber Multi Disiplin, vol. 2, no. 2, pp. 107–118, 2024, doi: 10.38035/jsmd.v2i2.170.
[20] U. K. Siregar, T. A. Sitakar, S. Haramain, Z. N. S. Lubis, U. Nadhirah, and Yahfizham, "Pengembangan database Management system menggunakan MySQL," SAINTEK: Jurnal Sains, Teknologi & Komputer, vol. 1, no. 1, pp. 8–12, 2024.
[21] E. Tas’au, T. Widiastuti, and Y. T. Polly, "Implementasi Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Pendukung Keputusan Penentuan Calon Penerima BLT Dana Desa di Desa Oabikase," Jurnal Indonesia: Manajemen Informatika Dan Komunikasi, vol. 6, no. 2, pp. 1477–1494, 2025, doi: 10.63447/jimik.v6i2.1448.
[22] A. Yanda and M. Mesran, "Penentuan Penerima Bantuan Pangan Non Tunai (BPNT) Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA)," Bulletin of Informatics and Data Science, vol. 1, no. 2, pp. 38–45, 2022, doi: 10.61944/bids.v1i2.42.
[23] Zulhisham, R. A. Kambau, and Hariani, "Sistem Pendukung Keputusan Rekomendasi Pemberian Bantuan Sosial Dengan Multi Objective Optimization By Ratio Analysis (MOORA)," Jurnal Ilmiah Komputer, vol. 4, no. 1, pp. 37–41, 2024.
[24] Fachrurrazi, Ilhadi, and Yusra, "Sistem Pendukung Keputusan untuk Pemilihan Penerima Bantuan Rehabilitasi Rumah dengan Metode MOORA," Jurnal Komputasi, vol. 14, no. 1, pp. 12–20, 2026.
[25] Kusuma, Terttiavini, and Kesuma, "Sistem Pengambil Keputusan dalam Pemberian Bansos BLT Terhadap Masyarakat Kurang Mampu Menggunakan MOORA," Jurnal Sistem Informasi, vol. 8, no. 1, pp. 55–63, 2023.
