KLASIFIKASI DATA PENENTUAN PENERIMAAN KREDIT PADA NASABAH KOPERASI MENGGUNAKAN ALGORITMA NAIVE BAYES (Studi Kasus : Koperasi Amanah Islamiyah)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
KUSUMA, INDAH PRADANA
Wulandari, Dewi Arianti
Haris, Abdul
Wulandari, Dewi Arianti
Haris, Abdul
Subject
Teknik Informatika
Datestamp
2022-09-22 06:29:32
Abstract :
The granting of credit to the customer is an activity that has a high degree of risk. In practice, the troubled credit often occurs due to the credit analysis are not careful or less closely in the process of granting credit. To prevent the occurrence of problematic credits, then required the existence of accurate forecasting to determine the classification of granting credit to customers, one of which uses the technology of data mining. In this study data analyzed using naive bayes method algotitma as the process in which the determination of the customer's credit. Naive Bayes is one method that aims to do a classification of a particular class, then the patterns can be used to classify the determination of credit, so that officers can more easily analyze the data application. The results of the hypothesis or events can be estimated based on observable evidence. The results of this research have an accuracy of 70%.
The granting of credit to the customer is an activity that has a high degree of risk. In practice, the troubled credit often occurs due to the credit analysis are not careful or less closely in the process of granting credit. To prevent the occurrence of problematic credits, then required the existence of accurate forecasting to determine the classification of granting credit to customers, one of which uses the technology of data mining. In this study data analyzed using naive bayes method algotitma as the process in which the determination of the customer's credit. Naive Bayes is one method that aims to do a classification of a particular class, then the patterns can be used to classify the determination of credit, so that officers can more easily analyze the data application. The results of the hypothesis or events can be estimated based on observable evidence. The results of this research have an accuracy of 70%.
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