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David Bayu Ananda
Faculty of Computer Science, Universitas Indonesia, Kampus Baru UI Depok, Jawa Barat, 16424, Indonesia
Computer Science & IT

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C4.5 DECISION TREE IMPLEMENTATION IN SISTEM INFORMASI ZAKAT (SIZAKAT) TO AUTOMATICALLY DETERMINING THE AMOUNT OF ZAKAT RECEIVED BY MUSTAHIK David Bayu Ananda; Ari Wibisono
Jurnal Sistem Informasi Vol. 10 No. 1 (2014): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.995 KB) | DOI: 10.21609/jsi.v10i1.375

Abstract

Abstract In general, Zakat Information Systems is established to manage the zakat services, so that the data can be well documented. This study proposes the existence of a feature that will determine the amount of zakat received by Mustahik automatically using C4.5 Decision Tree algorithm. This feature is expected to make the process of determining the amount of zakat be done easy and optimal. The data used in this study are the data taken from Masjid An-Nur, Pancoran, South Jakarta. The experiment results show that the proposed feature produces an accuracy rate over 85%.
Co-Authors Ari Wibisono