Comparison of C4.5 and Naïve Bayes Algorithm for Mustahik Classification

Suseno, Hendra Bayu and Wanhari, Awliya and Masruroh, Siti Ummi (2020) Comparison of C4.5 and Naïve Bayes Algorithm for Mustahik Classification. In: ICIIS 2019, 7th-8th Nov 2019, Jakarta, Indonesia.

[thumbnail of PDF]
Text (PDF)
eai.7-11-2019.2294560.pdf - Published Version

Download (334kB) | Preview


Zakat is one of the pillars of Islam that must be done for all Muslims. People who fulfill zakat are called muzakki and people who receive zakat are called mustahik. However there’s main problems of the Amil Zakat Agency related to distribution of zakat funds which are sometimes not fulfill on the target needed. Based on these problems, this study aims to analyze the comparison of the C4.5 and Naive Bayes algorithms for the classification of mustahik determination. The results of the study concluded that it was found that the use of the C4.5 algorithm is better than the Naive Bayes algorithm, proved by the level of accuracy starting from 75% - 100%, while using the Naive Bayes algorithm the level of accuracy starts from 50% - 100% and the execution time of each algorithm was similar which is 0 s. The results of the accuracy in this research are obtained through RapidMinerStudio tools using split validation.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: zakat mustahik muzakki c45 algorithm naive bayes algorithm accuracy execution time split validation
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: EAI Editor IV
Date Deposited: 24 Mar 2021 14:59
Last Modified: 24 Mar 2021 14:59

Actions (login required)

View Item
View Item