BENEISH M-SCORE MODELS TO DETECT FINANCIAL FRAUD CASE
STUDY OF CUSTOMER GOODS COMPANIES LISTED ON IDX
DOI:
https://doi.org/10.32493/ebic.v2i1.51455Keywords:
Beneish M-Score, Customer Goods, Fraud, Grey Company, Manipulator, Non ManipulatorAbstract
This study aims to determine companies classified as manipulators, nanomanipulators and gray companies Customer Goods companies listed on the Indonesia Stock Exchange. The population in this study were 20 Customer Goods companies listed on the Indonesia Stock Exchange for the period 2019 to 2023. The sampling technique used purposive sampling. The data collection method uses the documentation method. Data analysis using the Beneish M-Score Method which consists of 8 variables, namely Days Sales In Receivables Index (DSRI), Gross Margin Index (GMI), Asset Quality Index (AQI), Sales Growth Index (SGI), Depreciation Index (DEPI), Sales General and Administrative Expense (SGAI), Leverage Index (LVGI) and Total Accrual to Total Assets Index (TATA). Based on the results of the study, it shows that the DSRI variable is classified as a manipulator of 15%, gray company 20%, and non-manipulator 65%. GMI is classified as a 12% manipulator, 18% gray company, and 70% non-manipulator. AQI is classified as a manipulator 22%, gray company 28%, and non-manipulator 50%. SGI is classified as a 7% manipulator, 24% gray company and 69% non-manipulator. SGAI is classified as a 32% manipulator, 0% gray company, and 68% non-manipulator. LVGI is classified as a 30% manipulator, 15% gray company, and 55% non-manipulator. TATA is classified as an 11% manipulator, 2% gray company, and 87% non-manipulator.
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