Research Article
Comparison of C4.5 and Naïve Bayes Algorithm for Mustahik Classification
@INPROCEEDINGS{10.4108/eai.7-11-2019.2294560, author={Hendra Bayu Suseno and Awliya Wanhari and Siti Ummi Masruroh}, title={Comparison of C4.5 and Na\~{n}ve Bayes Algorithm for Mustahik Classification}, proceedings={Proceedings of the 2nd International Colloquium on Interdisciplinary Islamic Studies (ICIIS) in Conjunction with the 3rd International Conference on Quran and Hadith Studies (ICONQUHAS)}, publisher={EAI}, proceedings_a={ICIIS}, year={2020}, month={5}, keywords={zakat mustahik muzakki c45 algorithm naive bayes algorithm accuracy execution time split validation}, doi={10.4108/eai.7-11-2019.2294560} }- Hendra Bayu Suseno
Awliya Wanhari
Siti Ummi Masruroh
Year: 2020
Comparison of C4.5 and Naïve Bayes Algorithm for Mustahik Classification
ICIIS
EAI
DOI: 10.4108/eai.7-11-2019.2294560
Abstract
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.
