IMPLEMENTASI ALGORITMA DATA MINING NAIVE BAYES PADA KOPERASI

J-Icon : Jurnal Komputer dan Informatika

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Field Value
 
Title IMPLEMENTASI ALGORITMA DATA MINING NAIVE BAYES PADA KOPERASI
 
Creator Pandie, Emerensye S. Y.
 
Description One of the factors of failure in the field of credit business is the lack of accurate assessment of the ability of the debtor, thus resulting in errors in credit decisions that culminate in credit congestion. Data mining techniques can be used to assess customer ability based on past data. Debtor data that has been through the stages of data mining is then processed using Naive Bayes data mining algorithm. Naive Bayes is a simple probabilistic based prediction technique based on the application of bayes rules. Implementation using Weka 3.8 with a total of 3018 records yields a truth level of 94%.
 
Publisher Universitas Nusa Cendana
 
Date 2018-03-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ejurnal.undana.ac.id/jicon/article/view/350
10.35508/jicon.v6i1.350
 
Source J-Icon : Jurnal Komputer dan Informatika; Vol 6 No 1 (2018): Maret 2018; 15-20
2654-4091
2337-7631
10.35508/jicon.v6i1
 
Language eng
 
Relation http://ejurnal.undana.ac.id/jicon/article/view/350/325
 
Rights Copyright (c) 2018 Jurnal Komputer dan Informatika (JICON)
http://creativecommons.org/licenses/by-nd/4.0
 

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