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Ningrum, Endah Sulistyo
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics Other

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SISTEM PENDUKUNG KEPUTUSAN PENERIMA PROGRAM BANTUAN SOSIAL COVID-19 MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) (STUDI KASUS: DESA KOBA, BANGKA TENGAH) Ningrum, Endah Sulistyo; Heryana, Nono; Voutama, Apriade
Jurnal informasi dan komputer Vol 11 No 02 (2023): Jurnal Informasi dan Komputer yang terbit pada tahun 2023 pada bulan 10 (Oktobe
Publisher : LPPM Institut Teknologi Bisnis Dan Bahasa Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v11i02.448

Abstract

The Decision Support System (DSS) for Covid-19 Social Assistance Program recipients using the Simple Additive Weighting (SAW) method helps the government in selecting the right and fair recipients of the social assistance program. The SAW method calculates the score of prospective recipients by considering criteria such as housing conditions, employment, income, dependents, and age. After the score is calculated, the system provides recommendations regarding the prospective recipients of the social assistance program that should be prioritized. The advantage of the SAW method is its ability to consider multiple criteria simultaneously and give weight to each criterion. Therefore, the Decision Support System for Covid-19 Social Assistance Program recipients using the SAW method can be used as a reference by the government in selecting the right recipients of the Covid-19 social assistance program.
Co-Authors Apriade Voutama Heryana, Nono