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All Journal Scripta Technica: Journal of Engineering and Applied Technology Servitia: Journal of Community Service and Engagement
Ilham Basri K
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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Explainable AI (XAI) Analysis Using SHAP for Credit Card Fraud Yanuangga Galahartlambang; Titik Khotiah; Ilham Basri K; Masrur Anwar
Journal of Engineering and Applied Technology Vol 1 No 2 (2025): December: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/scxk4755

Abstract

The increased use of credit cards in digital payment systems has also increased the risk of transaction fraud, which has led to financial losses and a decline in user confidence. Various machine learning approaches have been developed to automatically detect fraud, but most high-performance models are black-box in nature, making them difficult to explain and unsupportive of auditing and decision-making processes. This study aims to analyze the application of Explainable Artificial Intelligence (XAI) using the SHAP (SHapley Additive exPlanations) method in credit card fraud detection systems. An imbalanced credit card transaction dataset was used as experimental data, with two classification models, namely Logistic Regression as a baseline and Random Forest as an ensemble model. Performance evaluation was conducted using Precision, Recall, F1-score, and Average Precision (PR-AUC) metrics, which are more suitable for imbalanced data cases. The experimental results show that the Random Forest model performs better than Logistic Regression, especially in terms of Precision, F1-Score, and PR-AUC metrics. Explainability analysis using SHAP was performed to obtain global and local explanations for the model's decisions. Global explanations successfully identified the dominant features that influence fraud predictions, while local explanations provided an overview of the contribution of individual features to specific fraud transactions. The results of this study show that the application of SHAP can improve the transparency and clarity of fraud detection model decisions without sacrificing prediction performance, thereby potentially supporting the development of a more reliable and easily audited fraud detection system.  
Pelatihan dan Pendampingan Tata Kelola Website Perusahaan Outsourcing untuk Peningkatan Kapasitas Digital Operator Admin Yanuangga Galahartlambang; Titik Khotiah; Ilham Basri K; Abdul Ghoffar
Journal of Community Service and Engagement Vol 1 No 2 (2026): February: Servitia: Journal of Community Service and Engagement
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/acv7sw13

Abstract

This community service activity focuses on training and mentoring website management to improve the digital capacity of administrative operators at PT. Produktif Citrasukses, an outsourcing service company that manages the website www.diklatsatpam.com. This program is designed as a response to the gap between the quality of operational services and the limitations of human resource competencies in managing digital assets effectively. Initial assessments showed that the website was not being optimally utilized as a strategic communication medium due to inconsistent content management, a lack of governance standards, and the technical and managerial limitations of operators. The training program was implemented through hands-on practice covering the management of the main page, company profiles, news publications, gallery organization, and website theme customization. The evaluation results showed an increase in operator competence in content updates, more structured information presentation, and better visual consistency. This program also increased managerial awareness of the strategic role of websites in strengthening professionalism and public trust, as well as supporting the digital transformation of outsourcing service organizations.
Co-Authors Abdul Ghoffar Masrur Anwar Titik Khotiah Yanuangga Galahartlambang