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All Journal Jurnal Tadris Kimiya Emerging Science Journal
Mohd Nizam, Dinna Nina
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Chemistry Education Environmental Science

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SHAP-Instance Weighted and Anchor Explainable AI: Enhancing XGBoost for Financial Fraud Detection Thanathamathee, Putthiporn; Sawangarreerak, Siriporn; Chantamunee, Siripinyo; Mohd Nizam, Dinna Nina
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-016

Abstract

This research aims to enhance financial fraud detection by integrating SHAP-Instance Weighting and Anchor Explainable AI with XGBoost, addressing challenges of class imbalance and model interpretability. The study extends SHAP values beyond feature importance to instance weighting, assigning higher weights to more influential instances. This focuses model learning on critical samples. It combines this with Anchor Explainable AI to generate interpretable if-then rules explaining model decisions. The approach is applied to a dataset of financial statements from the listed companies on the Stock Exchange of Thailand. The method significantly improves fraud detection performance, achieving perfect recall for fraudulent instances and substantial gains in accuracy while maintaining high precision. It effectively differentiates between non-fraudulent, fraudulent, and grey area cases. The generated rules provide transparent insights into model decisions, offering nuanced guidance for risk management and compliance. This research introduces instance weighting based on SHAP values as a novel concept in financial fraud detection. By simultaneously addressing class imbalance and interpretability, the integrated approach outperforms traditional methods and sets a new standard in the field. It provides a robust, explainable solution that reduces false positives and increases trust in fraud detection models. Doi: 10.28991/ESJ-2024-08-06-016 Full Text: PDF
Development of Interactive Learning Media Using Google Sites for Thermochemistry Courses Pamungkasih, Restika; Erlina, Erlina; Lestari, Ira; Junanto, Tulus; Ulfah, Maria; Mohd Nizam, Dinna Nina
Jurnal Tadris Kimiya Vol 9, No 2 (2024)
Publisher : Department of Chemistry Education, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jtk.v9i2.38552

Abstract

Interactive learning media is essential in enhancing student engagement and understanding, particularly in complex subjects like thermochemistry. Google Sites offers a platform to create accessible and interactive educational resources tailored to specific course needs. This study aims to develop, validate, and evaluate student responses to Google Sites-based interactive learning media for a thermochemistry course. The development process followed the analysis, design, development, implementation, and evaluation (ADDIE model). However, this research was limited to the development stage. Validation was conducted on material and media aspects, each reviewed by two validators. Data collection instruments included questionnaires for validation and student responses, involving 32 second-year Chemistry Education students who had previously studied thermochemistry concepts. Validation results yielded scores of 0.94 for the material aspect and 1.00 for the media aspect, indicating excellent validity. Student responses to the media averaged 83%, categorized as very good. The findings suggest that Google Sites-based interactive learning media effectively supports thermochemistry learning, offering a practical and engaging tool for educators and students. Further development and broader implementation of this media could enhance learning outcomes in similar scientific disciplines.
Development of Interactive Learning Media Using Google Sites for Thermochemistry Courses Pamungkasih, Restika; Erlina, Erlina; Lestari, Ira; Junanto, Tulus; Ulfah, Maria; Mohd Nizam, Dinna Nina
Jurnal Tadris Kimiya Vol 9 No 2 (2024)
Publisher : Department of Chemistry Education, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jtk.v9i2.38552

Abstract

Interactive learning media is essential in enhancing student engagement and understanding, particularly in complex subjects like thermochemistry. Google Sites offers a platform to create accessible and interactive educational resources tailored to specific course needs. This study aims to develop, validate, and evaluate student responses to Google Sites-based interactive learning media for a thermochemistry course. The development process followed the analysis, design, development, implementation, and evaluation (ADDIE model). However, this research was limited to the development stage. Validation was conducted on material and media aspects, each reviewed by two validators. Data collection instruments included questionnaires for validation and student responses, involving 32 second-year Chemistry Education students who had previously studied thermochemistry concepts. Validation results yielded scores of 0.94 for the material aspect and 1.00 for the media aspect, indicating excellent validity. Student responses to the media averaged 83%, categorized as very good. The findings suggest that Google Sites-based interactive learning media effectively supports thermochemistry learning, offering a practical and engaging tool for educators and students. Further development and broader implementation of this media could enhance learning outcomes in similar scientific disciplines.
Co-Authors Chantamunee, Siripinyo Erlina Erlina Ira Lestari Maria Ulfah Pamungkasih, Restika Sawangarreerak, Siriporn Thanathamathee, Putthiporn Tulus Junanto