ANALISIS KECURANGAN LAPORAN KEUANGAN DENGAN MENGGUNAKAN FRAUD TRIANGLE (Studi Kasus Pada Perusahaan Manufaktur Yang Terdaftar di BEI Tahun 2018-2020)

A’idatul Khoir, Maslichah Maslichah, Afifudin Afifudin

Abstract


This observe pursuits to decide the impact of possibilities, pressures, and explanation (the fraud triangle) on fraudulent economic reporting. The research approach used is a quantitative associative observe through reading facts on production businesses listed at the Indonesian inventory change (IDX) in 2018-2020. The studies pattern become conducted by way of a centered sampling method with several criteria defined with the aid of the researcher, in order that the studies sample became obtained from 35 production companies. statistics analysis was carried out using descriptive statistical methods, normality tests, classical assumption checks, speculation checking out, and more than one linear checks using SPSS. The results confirmed that a few and large opportunities, pressures and rationalizations had a great fantastic effect on fraud with financial statements, as evidenced by using the calculation of > table t and sig. 0.05. The value of R square is 0.920, so the level of influence between the independent variables and the structured used is 92.0%, and the rest is stricken by different variables.

Keywords: Fraud Triangle, Fraudulent Financial Statements, Indonesia Stock Exchange (IDX)

 


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References


Agustina, R. D., & Pratomo, D. (2019a). Pengaruh Fraud Pentagon Dalam Mendeteksi Kecurangan Pelaporan Keuangan. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 3(1), 44–62. https://doi.org/10.31955/mea.vol3.iss1.pp44-62

Agustina, R. D., & Pratomo, D. (2019b). Pengaruh Fraud Pentagon Dalam Mendeteksi Kecurangan Pelaporan Keuangan. Jurnal Ilmiah Manajemen,Ekonomi,&Akuntansi(MEA). https://doi.org/10.31955/mea.vol3.iss1.pp44-62

Ernst & Young. 2009. Detecting financial statement fraud: What every manager needs to know.

Jaunanda, & Agoes. (2019). Prediksi Fraud Pada Laporan Keuangan Dengan Fraud Diamond Menggunakan Beneish M-Model. Jurnal Muara Ekonomi Dan Bisnis, 3(2), 323–330.

Kuo, R. J., Akbaria, K., & Subroto, B. (2012). Application of particle swarm optimization and perceptual map to tourist market segmentation. Expert Systems with Applications, 39(10), 8726-8735.

Merdianto & Tiono. 2019.”Analisis Pengaruh Fraud Triangle Dalam Mendeteksi Kecurangan Laporan Keuangan”. Jurnal Benefita 4(1).

Rachmawati, Kurnia Kusuma. 2014. “Pengaruh Faktor-Faktor Dalam Perspektif Fraud Triangle Terhadap Fraudulent Financial Reporting.” Diponegoro Journal of Accounting. Vol. 3, Nomor 2, Hal. 1

Rezaee, Zabihollah. Financial statement fraud: prevention and detection. John Wiley & Sons, 2002.

Sasmita, D., Andriani, S., & Ilman, A. H. (2018). Analisis Pengaruh Inflasi, Suku Bunga Bi, Nilai Tukar Rupiah Terhadap Profitabilitas (Studi Kasus Pada Bank Yang Terdaftar Di Bei Periode 2011-2015). Jurnal Ekonomi Dan Bisnis Indonesia, 3(1).

Skousen C. J., Smith, K. R & Wright C. J. 2009. Detecting and Predicting Financial Statement Fraud: the Effectiveeness of the Fraud Triangle and SAS No. 99 in Advances in Financial Economics: Corporate Governance and Performance 1st edition. JAI Publishing, Emerald Group, Vol. 13.

Skousen, Smith, & Wright. (2009). Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99. In Emerald Insight (pp. 15–28).

Spathis, C. T. 2002. Detecting false financial statements using published data: Some evidence from Greece. Managerial Auditing Journal 17 (4): 179-191.


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