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OPTIMASI ALGORITMA C4.5 MENGGUNAKAN PARTICLE SWARM OPTIMIZATION (PSO) UNTUK KLASIFIKASI PENYEBAB PERCERAIAN

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Title OPTIMASI ALGORITMA C4.5 MENGGUNAKAN PARTICLE SWARM OPTIMIZATION (PSO) UNTUK KLASIFIKASI PENYEBAB PERCERAIAN
 
Creator Nafillah,
 
Description The number of divorces that occur in Indonesia is increasing every year, from the data that is known that most divorce cases are carried out by couples under the age of 35 years, the cause also varies from domestic violence, economic factors, infidelity, incompatibility, etc. From the existing divorce data, it is necessary to extract information to predict what factors are causing the divorce. In this study will use the C4.5 algorithm as a classification and prediction method, which will be optimized using the PSO (Particle Swarm Optimization) algorithm to improve the performance of the C4.5 algorithm. From the data mining process, the classification is produced with an accuracy of 87.4%, the accuracy level is higher when compared to the previous research which is only 57.63%.
Keywords: Divorce rate, divorce factor, C4.5 Algorithm, PSO Algorithm, Optimization.
 
Publisher Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan
 
Date 2019-06-25
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://jurnal.yudharta.ac.id/v2/index.php/EXPLORE-IT/article/view/1472
10.35891/explorit.v11i1.1472
 
Source 2549-354X
2086-3489
10.35891/explorit.v11i1
 
Language eng
 
Relation https://jurnal.yudharta.ac.id/v2/index.php/EXPLORE-IT/article/view/1472/1228
 
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