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All Journal Indonesian Journal of Computer Science
Rahman, Helzi Febri
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Computer Science & IT

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Sistem Pendukung Keputusan Penetapan Mustahiq Zakat Usaha Produktif Rajab, Rajab; Turaina, Rifa; Rahman, Helzi Febri
Indonesian Journal of Computer Science Vol. 9 No. 1 (2020): April 2020
Publisher : STMIK Indonesia Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.019 KB) | DOI: 10.33022/ijcs.v9i1.233

Abstract

This research was conducted at the National Amil Zakat Agency (Baznas), Solok Regency, West Sumatra. The purpose of this study is to assist Baznas officials in selecting and determining someone who is entitled to receive productive business zakat so that the zakat given is right on target. The problem that occurs is the process of selection and determination of someone who is entitled to get productive business zakat not using a computer-based decision support system so that the productive business zakat given is not yet on target. The method used in this study is the Simple Additive Weighting (SAW) method. The results of this study are an application that can help Baznas Solok District officials. This application is used to select recipients of productive business zakat and determine productive business zakat recipients based on predetermined criteria so that the recipient is in accordance with the intended target.
Co-Authors Rajab Rajab, Rajab Rifa Turaina, Rifa