THE EFFECTIVENESS OF FRAUD TRIANGLE ON DETECTING FRAUDULENT FINANCIAL STATEMENT: USING BENEISH MODEL AND THE CASE OF SPECIAL COMPANIES

Aprillia Aprillia, Orlin Cicilia, Rafaela Pertiwi Sergius

Abstract


Fraudulent financial statement is a serious problem and to be a threat to stakeholders, especially for investor. The thing is happened because there is illegal action done intentionally, such as disclosing financial information that doesn’t match with the real condition. The purpose of this research is to acquire a effectiveness of empirical proof of fraud triangle consisting of Pressure, Opportunity, and Rationalization in detecting financial statement fraud that are indicated by using Beneish Model. The sample of this research consists of 39 companies are indicated doing fraud and 57 companies aren’t indicated doing fraud listing at BEI (Bursa Efek Indonesia) in 2012 – 2014. Test of this research uses logistic regression method. Based on the result and conclusion, this research shows that opportunity (independent commissioner ownership) has significant effect to fraudulent financial statement while pressure (AGROW), financial target (ROA), and rationalization (Total accrual) don’t have significant effect to fraudulent financial statement.


Keywords


Fraudulent Financial Statement; Fraud Triangle; Beneish Model; Logistic Regression; Go Public Infrastructure Company

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References


Belkoui, Ahmad. 2007. Teori Akuntansi. Edisi kelima. Jakarta: Salemba Empat

Daljono, Martantya. 2013. Pendeteksian kecurangan laporan keuangan melalui faktor risiko

dan peluang. Diponegoro Journal of Accounting. Vol 2, No.2: 1-12

Diany, Yuvita Avrie dan Dwi Ratmono. Determinan kecurangan laporan keuangan:

pengujian teori fraud triangle. Diponegoro journal & accounting. Vol 3, No. 2: 1-9

Detikfinance.2015.http://finance.detik.com/read/2015/05/18/104018/2917159/6/saham-inovisi-dibekukan-4-bulan-karena-laporan-keuangan-banyak-salah

Fitrawansyah. 2014. Fraud & Auditing. Jakarta: Mitra Wacana Media

Ghozali, Imam. 2013. Aplikasi analisis multivariate dengan program IBM SPSS 21 Update

PLS Regresi. Cetakan VII. Semarang: Badan PenerbitUniversitas Diponegoro

https://inaproc.lkpp.go.id/v3/daftar_hitam

Hogan, Chris E., Zabihollah Rezaee, Richard A. Rilley Jr. 2008. Financial statement fraud:

insights from the academic literature. Auditing: A journal of practice & theory

american accounting association. Vol 27, No. 2: 231-252

Lou, Y.I., and M.L.Wang. 2009. Fraud Risk Factor Of The Fraud Triangle Assesing The LikelihoodOf Fraudulent Financial Reporting. Journal of Business and Economic Research, Vol. 7, No. 2, p. 62-66.

Mahama, Muntari. 2015. Detecting corporate fraud and financial distress using the altman

and beneish models the case of enron corp. International Journal of Economics,

Commerce and Management. Vol 3, No 1: 1-18

Nugraha, Noval Dwi Aditya dan Deliza Henny. 2013. Pendeteksian laporan keuangan

melalui faktor resiko, tekanan dan peluang. E-journal akuntansi trisakti. Vol 2, No. 1:

-48

Radarbanten.2015. http://www.radarbanten.com/read/berita/10/33766/Kok-Bisa-Kontraktor-Gedung-DPRD-Tangsel-Masuk-Daftar-Blacklist-LKPP.html

Skousen, C. J. K. R. Smith and C. J. Wright. 2009. Detecting and predicting financial

statement fraud: the effectiveness of the fraud triangle and SAS No. 99. Corporate

governance and firm performance advances in financial economics. Vol 13, 53-81

Sari, Maylia Pramono Sari dan Sukirman. Model deteksi kecurangan berbasis fraud triangle.

Jurnal akuntansi & Auditing. Vol 9, No. 2: 199-225

Warshavsky, Mark. 2012. Analyzing Earnings Quality as a Financial Forensic Tool.

Financial Valuation and Litigation Expert Journal. No 39: 16




DOI: https://doi.org/10.17509/jrak.v3i3.6621

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