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All Journal International Journal of Data Science, Engineering, and Analytics (IJDASEA)
Ananda Devi Muri Utomo
UPN Veteran Jawa Timur
Computer Science & IT Decision Sciences, Operations Research & Management

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A Fraud Detection Implementation Of Decision Tree C4.5 Algorithm For Fraud Detection On Anonymous Credit Card Transaction Ulfa Nur Ulfa Mauludina; Dhian Satria Yudha Kartika; Ananda Devi Muri Utomo
Internasional Journal of Data Science, Engineering, and Anaylitics Vol. 2 No. 2 (2022): International Journal of Data Science, Engineering, and Analytics Vol 2, No 2,
Publisher : International Journal of Data Science, Engineering, and Analytics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijdasea.v2i2.36

Abstract

The development of technology today makes credit cards seen as a solution to problems that are not difficult and practical in conducting transactions at a bank. Not only is it easy to use when making payments, but using a credit card also doesn't require many requirements. However, with the increase in the use of credit cards, there are several emergencies of criminal acts that can cause losses for customers and banks. This study uses a dataset from the Kaggle website, which amounts to 56,962 original data from a bank in Europe. Data Mining has been reviewed as the best solution to solving this problem, so in this study, the Decision Tree C4.5 method will be used in detecting fraud in credit card transactions. Keywords: Credit Card. Fraud, Data Mining
Co-Authors Dhian Satria Yudha Kartika Ulfa Nur Ulfa Mauludina