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Author

Vidyarto Nugroho

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Open access Jul 2026

Comparative Analysis of the Altman Z-Score and Beneish M-Score Methods in Detecting Financial Statement Fraud: A Case Study on Mining Sector Companies Listed on the IDX for the 2018-2024 Period

Financial statement fraud remains a significant threat to capital market integrity, with mining companies being particularly vulnerable due to commodity price volatility and complex accounting practices. This study compared the effectiveness of the Altman Z-Score and Beneish M-Score methods in detecting financial state...

Gita Olivia Sitompul, Vidyarto Nugroho · 0 citations
Open access Jul 2026

Machine Learning-Based Detection of Financial Statement Fraud: Integrating Beneish Ratios, Linguistics, and Stock Volatility on the Indonesia Stock Exchange

It is found that the Indonesian capital market may have limited ability to anticipate indications of financial statement fraud before related information is publicly disclosed and integrating accounting and linguistic information is more effective than relying solely on financial ratios or incorporating market data.

Abdurrochman Halomoan Hasibuan, Vidyarto Nugroho · 0 citations

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