PENDETEKSIAN POTENSI KECURANGAN PELAPORAN KEUANGAN DENGAN BENEISH MODEL (STUDI PADA PERUSAHAAN BADAN USAHA MILIK NEGARA YANG TERDAFTAR DI BEI)
Abstract
Keywords
Full Text:
PDFReferences
ACFE. (2018). Report to Nations. Austin, Texas.
Alfian, F., & Triani, N. N. A. (2019). Fraudulent Financial Reporting Detection Using Beneish M-Score Model in Public Companies in 2012-2016. Asian Pasific Fraud Journal, 4(1), 27–42.
Arens, A. A., Elder, R. J., & Beasley, M. S. (2012). Auditing and assurance services: An integrated approach (14th ed). Boston: Prentice Hall.
Aris, N. A., Othman, R., Arif, S. M. M., & Malek, M. A. A. (2013). Fraud Detection: Benford’s Law vs Beneish Model. IEEE Symposiums on Humanities, Science and Engineering Research, 726–731.
Beneish, M. D., Lee, C. M. C., & Nichols, D. C. (2012). Fraud Detection and Expected Returns. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1998387
CNN Indonesia. (2019). Membedah Keanehan Laporan Keuangan
Garuda Indonesia 2018. Retrieved September 4, 2019, from https://www.cnnindonesia.com/ekonomi/20190424204726-92-389396/membedah-keanehan-laporan-keuangan-garuda-indonesia-2018
Dbouk, B. (2017). Financial Statements Earnings Manipulation Detection Using a Layer of Machine Learning. International Journal of Innovation, Management and Technology, 8(3), 172–179. https://doi.org/10.18178/ijimt.2017.8.3.723
Ghozali, I. (2016). Aplikasi Analisis Multivariate dengan Program IBM SPSS 23 (8th ed.). Semarang: Universitas Diponegoro.
Jones, K. L., Krishnan, G. V., & Melendrez, K. D. (2008). Do Models of Discretionary Accruals Detect Actual Cases of Fraudulent and Restated Earnings? An Empirical Analysis. Contemporary
Accounting Research, 25(2), 499–531. https://doi.org/10.1506/car.25.2.8
Lotfi, N., & Chadegani, A. A. (2017). Detecting Corporate Financial Fraud using Beneish M-Score Model. International Journal of Finance and Managerial Accounting, 2(8), 29–34.
Mahama, M. (2015). Detecting Corporate Fraud and Financial Distress Using The Altman and Beneish Models. International Journal of Economics, Commerce and Management, 3(1), 1–18.
Omar, N., Koya, R. K., Sanusi, Z. M., & Shafie, N. A. (2014). Financial Statement Fraud: A Case Examination Using Beneish Model and Ratio Analysis. International Journal of Trade, Economics and Finance, 5(2), 184–186.
https://doi.org/10.7763/IJTEF.2014.V5.367
Özcan, A. (2018). The Use of Beneish Model in Forensic Accounting: Evidence from Turkey. Journal of Applied Economics and Business Research, 8(1), 57–67.
Repousis, S. (2016). Using Beneish model to detect corporate financial statement fraud in Greece. Journal of Financial Crime, 23(4), 1063–1073. https://doi.org/10.1108/JFC-11-2014-0055
Tarjo, & Herawati, N. (2015). Application of Beneish M-Score Models and Data Mining to Detect Financial Fraud. Procedia - Social and Behavioral Sciences, 211, 924–930.https://doi.org/10.1016/j.sbspro.2015.11.122
Vivianita, A., & Indudewi, D. (2018). Financial Statement Fraud pada Perusahaan Pertambangan yang Dipengaruhi Oleh Fraud Pentagon Theory (Studi Kasus di Perusahaan Tambang yang Terdaftar di Bei Tahun 2014-2016). Jurnal Dinamika Sosial Budaya, 20(1), 1–15. https://doi.org/10.26623/jdsb.v20i1.1229
Ферулева, Н. В., & Штефан, М. А. (2017). Detecting Financial Statements Fraud: The Evidence from Russia. Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438, 11(2), 32–45. https://doi.org/10.17323/j.jcfr.2073-0438.11.2.2017.32-45
DOI: https://doi.org/10.18196/bti.102117
Refbacks
- There are currently no refbacks.
This work is licensed under Attribution-NonCommercial-NoDerivatives 4.0 International