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All Journal JURNAL SISTEM INFORMASI BISNIS JSAI (Journal Scientific and Applied Informatics) Specta Journal of Technology Journal of Computer System and Informatics (JoSYC) Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Ilmu Komputer
Gani, Hilmansyah
Universitas Muhammadiyah Gorontalo
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Social Sciences

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Journal : Journal of Computer System and Informatics (JoSYC)

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The Implementation of MOORA method in the Selection of Direct Cash Aid Recipients Tri Pratiwi Handayani; Irawan Ibrahim; Hilmansyah Gani; Moh. Nasrul Arief Setiawan Adam; Mohamad Ilyas Abas
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4527

Abstract

This research aims to implement the Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) algorithm as a Decision Support System for selecting recipients of Direct Cash Assistance in Cempaka Putih village, Gorontalo. With a dataset of 112 prospectus recipients, the study focuses on developing an efficient approach to assist the village head in the beneficiary selection process. By combining multi-objective optimization and ratio analysis, the MOORA algorithm objectively evaluates and ranks recipients based on eligibility and suitability. The findings demonstrate the effectiveness of MOORA in streamlining the selection process, ensuring transparency and optimizing resource allocation for those most in need. This research contributes to decision support systems by showcasing the practical application of MOORA, enhancing assistance distribution, and improving community welfare. The results show that Alternative A1 receives the highest ranking, which is 1, with a Yi value of 1.32. Therefore, Alternative A1 is recommended as the best candidate to receive direct cash assistance in the Cempaka Putih village. The method has the capability to rank the top 12 suitable candidates who are eligible to obtain direct cash aid. However, there are instances where certain Yi values match, resulting in the same ranking for those alternatives. This similarity necessitates further observation and analysis.
Co-Authors Abas Kaluku Alfian Zakaria Alter Lasarudin Alter Lasarudin Arip Mulyanto Dian Novian Edi Setiawan Handayani, Tri Pratiwi Indhitya R Padiku Irawan Ibrahim Irawan Ibrahim Irawan Ibrahim Lanto Ningrayati Amali Maliki, Ona Manda Rohandi Misran Tomayahu Moh Ramdhan Arif Kaluku Moh. Hidayat Koniyo Moh. Nasrul Arief Setiawan Adam Mohamad Ilyas Abas Muchlis Polin Nikmasari Pakaya Pratiwi I Wantu Pratiwi I Wantu Rahman Takdir Rizal Lamusu Salahudin Olii Suseno, Jatmiko Indro Tri Pratiwi Handayani Tri Pratiwi Handayani Yulan Humolungo yulanda yunus Yulanda Yunus Yunus, Yulanda