Keywords
Confusion Matrix
Variables
How to Cite
Abstract
The research was conducted because the customers selected in the credit card application were still not quite right and the customer selection was not optimal so that the selected customers did not match the criteria that had been set. Based on the problem, namely the inaccuracy and ineffectiveness of the prediction of the eligibility of credit card applications for customers. For this reason, it is necessary to predict the eligibility of credit card applications for customers using the C4.5 algorithm, namely by analyzing customer data, and performing grouping calculations to determine customers who have the potential to be smooth and have the potential to be stuck. In it, variables are applied based on House Status, Income, Marital Status, and Age. This study aims to determine customers in credit card applications accurately, an accuracy test has been carried out using a confusion matrix with an accuracy result of 83.33%
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