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All Journal Jurnal Ilmiah Wahana Akuntansi Clean Energy and Smart Technology TECHNOMEDIA : Informatics and Computer Science
Nur Fitriyanto
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mechanical Engineering Social Sciences

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Journal : Clean Energy and Smart Technology

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THE APPLICATION OF XGBOOST CLASSIFICATION FOR FRAUD DETECTION IN CREDIT CARD TRANSACTIONS Muhamad Fuat Asnawi; Nur Fitriyanto; M. Agoeng Pamoengkas
Clean Energy and Smart Technology Vol. 3 No. 2 (2025): April
Publisher : Nacreva Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/cest.v3i2.131

Abstract

Credit card fraud detection remains a critical challenge due to the inherent imbalance in transaction datasets, where fraudulent transactions are significantly fewer than normal ones. This study investigates the application of the XGBoost classification algorithm to address this issue using the publicly available Kaggle Credit Card Fraud Detection dataset. The research incorporates data preprocessing techniques such as normalization and SMOTE to handle the dataset's imbalance. Hyperparameter tuning using GridSearchCV optimizes the model’s parameters, enhancing its performance. The results indicate that the model achieves an Area Under the Curve (AUC) of 0.97, demonstrating its high accuracy in distinguishing between fraudulent and normal transactions. The evaluation metrics reveal an F1-score of 0.77 for fraudulent transactions, showing the model's reasonable effectiveness in detecting fraud. While the model performs exceptionally well in identifying normal transactions, reducing false negatives remains a challenge. This study underscores the potential of combining advanced machine learning techniques with preprocessing and optimization strategies to develop robust fraud detection systems.
Co-Authors Asnawi, Muhamad Fuat Asnawi, Muhamad Fuat Asnawi M. Agoeng Pamoengkas muhamad Fuat Asnawi Slamet Haryono