Analysis of Factors Impacting Fraudulent Financial Reporting Based on Fraud Heptagon Model on Indonesian's State-Owned Enterprises

Abstract

The purpose of this research is to test the fraud heptagon research model in detecting fraud in financial statements using eight Beneish M-Score ratios. The data research method uses descriptive analysis and uses logistic regression analysis methods in terms of testing research hypothesis. Statistical data processing in this study uses the SPSS version 25 program. The object of this research are Indonesia's state-owned companies listed on the IDX within 2015-2020. The total sample of this research are twenty companies or one hundred and thirty eight samples for six years of research which have been determined by purposive sampling method based on certain criteria's. The results of this study indicate that the fraud heptagon research model simultaneously affects the detection of fraud in financial statements.