Decision Support System Algorithm for the Beneficiary of Uninhabitable Housing Funds Diena Rauda Ramdania (a*), Beki Subaeki (b), Lia Muliawaty (c), Muhammad Ali Ramdhani (d), Erik Nugraha (e)
(a*, d, e) Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia
Jl. A.H. Nasution No.105, Cipadung, Kec. Cibiru, Kota Bandung, Jawa Barat 40614, Indonesia
*diena.rauda[at]uinsgd.ac.id
(b) Department of ICT, Asia E University, Malaysia
Wisma Subang Jaya, No.106, Jalan ss15/4 Subang Jaya, 47500 Selangor, Malaysia
Department of Information Systems, Universitas Sangga Buana, Indonesia
Jalan PH.H. Mustofa (Suci) No.68, Cikutra, Kec. Cibeunying Kidul, Kota Bandung, Jawa Barat 40124, Indonesia
(c) Department of Public Policy, Universitas Pasundan, Bandung, Indonesia
Jl. Wartawan IV No.22, Turangga, Kec. Lengkong, Kota Bandung, Jawa Barat 40264, Indonesia
Abstract
Poverty is one of the big problems facing the people of Indonesia. This problem evidenced by the existence of 3.4 million Indonesians living in settlements that are not livable. This problem is also a concern of the government by providing financial assistance for homes that are not livable. But in reality, the available aid is often not on target, not on a budget, and not on time. The purpose of this research is to implement the El Choination El Choix Traduisant La Realite (ELECTRE) algorithm as a decision support system to provide recommendations for potential recipients who deserve assistance from the government. System testing is done by inputting 46 prospective beneficiary data with predetermined criteria. The results showed the ELECTRE algorithm was able to provide recommendations with an accuracy rate of 86.9%. This result indicates that the decision support system using the ELECTRE method can use as an alternative to the efficiency of determining the prospective beneficiaries of uninhabitable housing in Indonesia.
Keywords: Decision support system, El Choination El Choix Traduisant La Realite (ELECTRE), Housing funds, Uninhabitable
