METODE DECISION TREE DALAM KLASIFIKASI KREDIT PADA NASABAH PT BANK PERKREDITAN RAKYAT(STUDI KASUS: PT BPR LUBUK RAYA MANDIRI)

METODE DECISION TREE DALAM KLASIFIKASI KREDIT PADA NASABAH PT BANK PERKREDITAN RAKYAT(STUDI KASUS: PT BPR LUBUK RAYA MANDIRI)

Data mining, Classification,Algorithm C4.5, RapidMiner v.7.3, Decision Tree, Kredit

Data mining is a new technology that has been successfully applied in many fields. Many problems are solved by data mining algorithms C4.5 as a supporter. Classification is one of the methods contained in data mining and not a few researchers who use the classification methods in solving problems. Credit analysis will be done with the digging data against existing data customer credits based on atribut-atributnya with tekanik data mining algorithm C4.5. The algorithm C4.5 is itself a group of decision tree algorithm. This algorithm has input in the form of training and samples. Data mining technique used to classify loans with algorithm C4.5. Analysis and processing of data use applied tools of RapidMiner v 7.3

Diana Yusuf1, Ellya Sestri2 (*)

https://ojs.itb-ad.ac.id/index.php/JUSIN/article/view/855/281

ITB Ahmad Dahlan, Jakarta

2020

Fajar bagus W

PDF

Indonesia

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