Techno: Jurnal Penelitian
Vol 10, No 1 (2021): Techno Jurnal Penelitian

Zakat Classification with Naïve Bayes Method in BAZNAS

Yuslena Sari (Universitas Lambung Mangkurat)
Muhammad Alkaff (Unknown)
Eka Setya Wijaya (Unknown)
Gusti Nizar Syafi'i (Unknown)



Article Info

Publish Date
01 May 2021

Abstract

The National Amil Zakat Agency (BAZNAS) of the Banjar Regency, is the regional Zakat Management Agency of the Banjar Regency. BAZNAS Banjar Regency distributes the required alms according to the target to mustahik that is under the criteria or following the provisions of the Shari'a. However, BAZNAS often experiences difficulties in determining mustahik (people who are entitled to receive zakat) due to limited distribution funds and excessive data on Fakir and miskin people who are the main priority. The existence of a system that can determine two groups of recipients of the Fakir and miskin zakat based on data from the underprivileged population can help the distribution of zakat to these 2 groups. In this case, using the Naive Bayes method is very suitable in the classification of the BAZNAS mustahik determination so that it can be used to determine the prospective recipient of zakat. Based on the results of tests conducted on the Naïve Bayes classification with the Confusion Matrix calculation, the accuracy value reached 92.30%.

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Journal Info

Abbrev

techno

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture

Description

TECHNO: Jurnal Penelitian diterbitkan oleh Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Khairun, dua kali terbit dalam setahun dengan jumlah artikel dalam sekali terbit sebanyak 8 ...