Deteksi Financial Statement Fraud : Model Beneish M-Score, dan Model F-Score
Abstract
The research aims to find out which model is most effective in detecting financial statement fraud by using the Beneish M-Score model and the F-Score model. The research population of the banking sector is listed on the Indonesia Stock Exchange for the period 2018 - 2020 with a total of 48 banks. The research sample totaled 40 banks using a purposive sampling method. The results of the study stated that by calculating the index using the beneficial M-Score model, it showed that there were indications of banks committing financial statement fraud in 2018 at 2.5%, in 2019 at 95% and in 2020 at 97.5%. Meanwhile, using the F-Score model in 2018 it was 5%, in 2019 it was 7.5% and in 2020 it was 5%. Based on these two models, an effective model for detecting financial statement fraud is the Beneish M-Score model.
Keywords: Financial Statement Fraud; Model Beneish M-Score; Model F-Score.
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References
ACFE. (2016). The Fraud Tree Occupational Fraud And Abuse Classification System. 2016 Ed, Austin, Texas.
ACFE. (2018). Report To The Nation Association of Certified Fraud Examiners. Report to the Nation (RTTN). https://www.fraud-magazine.com/article.aspx?id=4295001895
ACFE. (2022). Fraud 101: What Is Fraud? Association of Certified Fraud Examiners. https://www.acfe.com/fraud-resources/fraud-101-what-is-fraud
Alpeyev, P. dan Amano, T. (2015). “Toshiba to restate at least 152 billion Yen of past profits.” Bloomberg. https://www.bloomberg.com/news/articles/2015-07-20/toshiba-to-restate-152-billion-yen-of-past-profits-after-probe
Aris, N. A., Arif, S.M.M., Othman, R., dan Zain, M. M. (2015). Fraudulent financial statement detection using statistical techniques: The case of small medium automotive enterprise. Journal of Applied Business Research, 4(31), 1469.
Balachandran, S. . (2009). The Satyam scandal”. Forbes. https://www.forbes.com/2009/01/07/satyam-raju-governance-oped-cx_sb_0107balachandran.html?sh=7fb9dd4b3044
Beneish. (1999). The Detection of Earning Manipulation. Financial Analysis Journal, Vol. 55, Pages 24-36.
Beneish. (2012). Fraud Detection and Expected Return. http://papers.ssrn.com/ abstract_id=1998387
Bloomberg. (2001). The fall of Enron. Bloomberg. https://www.bloomberg.com/news/articles/2001-12-16/the-fall-of-enron?leadSource=uverify wall
Cecchini., Aytug, Koehler, dan P. (2010). Making words work: Using financial text as a predictor of financial events. Decision Support Systems, 50, 164–175. https://doi.org/https://doi.org/10.1016/j.dss.2010.07.012
Dechow, P.M., Ge, W., Larson, C.R., dan Sloan, R. . (2011). Predicting material accounting misstatements. Contemporary Accounting, 1(28), 17–82.
Detik, F. (2009). "Usai manipulasi keuangan”. Waskita Karya segera direstrukturisasi. Finance Detik. https://finance.detik.com/berita-ekonomi-bisnis/d-1200038/usai-manipulasi-keuangan-waskita-karya-segera-direstukturisasi
Hantono. (2018). Analisis Pendeteksian Financial Statement Fraud Dengan Pendekatan Model Beneish Pada Perusahaan Bumn Going Concern. Jurnal Riset Akuntansi, 3(13), 254–269. https://doi.org/https://doi.org/10.32400/gc.13.03.20170.2018
Herry. (2016). Auditing dan Asuransi. Jakarta : PT Grasindo.
Jensen, M. (1976). Theory of the firm : Managerial behavior, agency costs and owneship structure. Journal of Financial Economics, 3(4), 305–360.
Priantara, D. (2013). Fraud Auditing and Investigation (Jakarta (ed.)). Mitra Wacana Media.
Repousis, S. (2016). Using Beneish model to detect corporate financial statement fraud in Greece. Journal of Financial Crime, 4(23), 1063 – 1073.
Scott, W. R. (2015). Financial accounting theory (7th ed). Pearson Education.
Singleton, T.W. dan Singleton, A. J. (2010). Fraud auditing and forensic accounting (N. Jersey (ed.); 4th ed.). John Wiley & Sons.
Skousen. (2009). Detecting And Predecting Financial Statment Fraud : The Effectiveness of The Fraud Triangle SAS No 99. Advances in Financial Economics, Vol 13, Pages 53-81.
Tarjo, & Herawati, N. (2015). Application of Beneish M-Score Models and Data Mining to Detect Financial Fraud. Procedia - Social and Behavioral Sciences, 211(September), 924–930. https://doi.org/10.1016/j.sbspro.2015.11.122
Tran, M. (2002). WorldCom accounting scandal. Guardian. https://www.theguardian.com/business/2002/aug/09/corporatefraud.worldcom2
Tuanakotta, T. M. (2013). Mendeteksi manipulasi laporan keuangan. PT. Salemba Empat.
Widodo, A., Yusiana, R., & Anggi, S. (2017). How E-Marketing and Trust Influence Online Buying Decision : A Case Study of Matahari Mall.com in Bandung. Journal of Social Sciences & Humanities, 5(25), 107–114.
Zulzilawati, W. (2021). Beneish Ratio Index Sebagai Alat Deteksi Kecurangan. 12(2), 181–193. https://ejournal.uin-malang.ac.id/index.php/el-muhasaba/article/view/12803
ACFE. (2018). Report To The Nation Association of Certified Fraud Examiners. Report to the Nation (RTTN). https://www.fraud-magazine.com/article.aspx?id=4295001895
ACFE. (2022). Fraud 101: What Is Fraud? Association of Certified Fraud Examiners. https://www.acfe.com/fraud-resources/fraud-101-what-is-fraud
Alpeyev, P. dan Amano, T. (2015). “Toshiba to restate at least 152 billion Yen of past profits.” Bloomberg. https://www.bloomberg.com/news/articles/2015-07-20/toshiba-to-restate-152-billion-yen-of-past-profits-after-probe
Aris, N. A., Arif, S.M.M., Othman, R., dan Zain, M. M. (2015). Fraudulent financial statement detection using statistical techniques: The case of small medium automotive enterprise. Journal of Applied Business Research, 4(31), 1469.
Balachandran, S. . (2009). The Satyam scandal”. Forbes. https://www.forbes.com/2009/01/07/satyam-raju-governance-oped-cx_sb_0107balachandran.html?sh=7fb9dd4b3044
Beneish. (1999). The Detection of Earning Manipulation. Financial Analysis Journal, Vol. 55, Pages 24-36.
Beneish. (2012). Fraud Detection and Expected Return. http://papers.ssrn.com/ abstract_id=1998387
Bloomberg. (2001). The fall of Enron. Bloomberg. https://www.bloomberg.com/news/articles/2001-12-16/the-fall-of-enron?leadSource=uverify wall
Cecchini., Aytug, Koehler, dan P. (2010). Making words work: Using financial text as a predictor of financial events. Decision Support Systems, 50, 164–175. https://doi.org/https://doi.org/10.1016/j.dss.2010.07.012
Dechow, P.M., Ge, W., Larson, C.R., dan Sloan, R. . (2011). Predicting material accounting misstatements. Contemporary Accounting, 1(28), 17–82.
Detik, F. (2009). "Usai manipulasi keuangan”. Waskita Karya segera direstrukturisasi. Finance Detik. https://finance.detik.com/berita-ekonomi-bisnis/d-1200038/usai-manipulasi-keuangan-waskita-karya-segera-direstukturisasi
Hantono. (2018). Analisis Pendeteksian Financial Statement Fraud Dengan Pendekatan Model Beneish Pada Perusahaan Bumn Going Concern. Jurnal Riset Akuntansi, 3(13), 254–269. https://doi.org/https://doi.org/10.32400/gc.13.03.20170.2018
Herry. (2016). Auditing dan Asuransi. Jakarta : PT Grasindo.
Jensen, M. (1976). Theory of the firm : Managerial behavior, agency costs and owneship structure. Journal of Financial Economics, 3(4), 305–360.
Priantara, D. (2013). Fraud Auditing and Investigation (Jakarta (ed.)). Mitra Wacana Media.
Repousis, S. (2016). Using Beneish model to detect corporate financial statement fraud in Greece. Journal of Financial Crime, 4(23), 1063 – 1073.
Scott, W. R. (2015). Financial accounting theory (7th ed). Pearson Education.
Singleton, T.W. dan Singleton, A. J. (2010). Fraud auditing and forensic accounting (N. Jersey (ed.); 4th ed.). John Wiley & Sons.
Skousen. (2009). Detecting And Predecting Financial Statment Fraud : The Effectiveness of The Fraud Triangle SAS No 99. Advances in Financial Economics, Vol 13, Pages 53-81.
Tarjo, & Herawati, N. (2015). Application of Beneish M-Score Models and Data Mining to Detect Financial Fraud. Procedia - Social and Behavioral Sciences, 211(September), 924–930. https://doi.org/10.1016/j.sbspro.2015.11.122
Tran, M. (2002). WorldCom accounting scandal. Guardian. https://www.theguardian.com/business/2002/aug/09/corporatefraud.worldcom2
Tuanakotta, T. M. (2013). Mendeteksi manipulasi laporan keuangan. PT. Salemba Empat.
Widodo, A., Yusiana, R., & Anggi, S. (2017). How E-Marketing and Trust Influence Online Buying Decision : A Case Study of Matahari Mall.com in Bandung. Journal of Social Sciences & Humanities, 5(25), 107–114.
Zulzilawati, W. (2021). Beneish Ratio Index Sebagai Alat Deteksi Kecurangan. 12(2), 181–193. https://ejournal.uin-malang.ac.id/index.php/el-muhasaba/article/view/12803
Published
2023-01-26
How to Cite
PATMAWATI, Patmawati; RAHMAWATI, Meita.
Deteksi Financial Statement Fraud : Model Beneish M-Score, dan Model F-Score.
E-Jurnal Akuntansi, [S.l.], v. 33, n. 1, p. 34-44, jan. 2023.
ISSN 2302-8556.
Available at: <https://ojs.unud.ac.id/index.php/akuntansi/article/view/92753>. Date accessed: 14 nov. 2024.
doi: https://doi.org/10.24843/EJA.2023.v33.i01.p03.
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