Pengaruh Fraud Pentagon Theory dalam Mendeteksi Financial Statement Fraud pada Perusahaan BUMN Tahun 2020-2024

Authors

  • Reffi Zahara Anggraini* Universitas Sumatera Utara
  • Abdillah Arif Nasution Universitas Sumatera Utara
  • Risanty Universitas Sumatera Utara
  • Yuni Lestari Br Sitepu Universitas Sumatera Utara

DOI:

https://doi.org/10.71456/sur.v5i1.2560

Keywords:

Fraud Pentagon Theory, Financial Statement Fraud, Pressure, Opportunity, Rationalization, Capability, Arrogance, BUMN

Abstract

Kecurangan laporan keuangan (financial statement fraud) masih menjadi permasalahan penting pada perusahaan Badan Usaha Milik Negara (BUMN) karena dapat menurunkan kredibilitas informasi keuangan, merugikan pemangku kepentingan, serta mengurangi kepercayaan publik. Penelitian ini bertujuan untuk menganalisis pengaruh elemen Fraud Pentagon Theory yang terdiri atas pressure, opportunity, rationalization, capability, dan arrogance dalam mendeteksi financial statement fraud pada perusahaan BUMN yang terdaftar di Bursa Efek Indonesia periode 2020–2024. Penelitian menggunakan pendekatan kuantitatif dengan desain asosiatif kausal dan data sekunder yang bersumber dari laporan keuangan serta laporan tahunan perusahaan. Teknik pengambilan sampel menggunakan sampel jenuh dengan melibatkan 30 perusahaan selama lima tahun pengamatan sehingga diperoleh 150 observasi. Financial statement fraud diukur menggunakan F-Score, sedangkan data dianalisis dengan regresi data panel menggunakan EViews 12. Hasil pemilihan model menunjukkan bahwa Random Effect Model merupakan model yang paling sesuai. Hasil penelitian menunjukkan bahwa secara simultan pressure, opportunity, rationalization, capability, dan arrogance berpengaruh signifikan terhadap financial statement fraud. Secara parsial, pressure dan opportunity berpengaruh positif dan signifikan, sedangkan rationalization, capability, dan arrogance tidak berpengaruh signifikan. Nilai Adjusted R-squared sebesar 0,690640 menunjukkan bahwa model mampu menjelaskan 69,06% variasi financial statement fraud. Temuan ini menegaskan bahwa tekanan pencapaian kinerja keuangan dan peluang manipulasi menjadi faktor yang lebih relevan dalam mendeteksi risiko kecurangan laporan keuangan pada perusahaan BUMN, sehingga penguatan pengendalian internal dan pengawasan terhadap pencapaian target keuangan serta akun yang rentan dimanipulasi perlu menjadi perhatian utama.

References

Achmad, T., Ghozali, I., & Pamungkas, I. D. (2022). Hexagon fraud: Detection of fraudulent financial reporting in state-owned enterprises Indonesia. Economies, 10(1), 13. https://doi.org/10.3390/economies10010013

Achmad, T., Ghozali, I., Helmina, M. R. A., Hapsari, D. I., & Pamungkas, I. D. (2023). Detecting fraudulent financial reporting using the fraud hexagon model: Evidence from the banking sector in Indonesia. Economies, 11(1), 5. https://doi.org/10.3390/economies11010005

Biduri, S., & Tjahjadi, B. (2026). Determinants of financial statement fraud: The perspective of pentagon fraud theory (evidence on Islamic banking companies in Indonesia). Journal of Islamic Accounting and Business Research, 17(2), 392–422. https://doi.org/10.1108/JIABR-08-2022-0213

Burlacu, G., Robu, I.-B., Anghel, I., Rogoz, M. E., & Munteanu, I. (2025). The use of the fraud pentagon model in assessing the risk of fraudulent financial reporting. Risks, 13(6), 102. https://doi.org/10.3390/risks13060102

Dechow, P. M., Ge, W., Larson, C. R., & Sloan, R. G. (2011). Predicting material accounting misstatements. Contemporary Accounting Research, 28(1), 17–82. https://doi.org/10.1111/j.1911-3846.2010.01041.x

Fathmaningrum, E. S., & Anggarani, G. (2021). Fraud pentagon and fraudulent financial reporting: Evidence from manufacturing companies in Indonesia and Malaysia. Journal of Accounting and Investment, 22(3), 625–646. https://doi.org/10.18196/jai.v22i3.12538

Hernandez Aros, L., Bustamante Molano, L. X., Gutierrez-Portela, F., Moreno Hernandez, J. J., & Rodríguez Barrero, M. S. (2024). Financial fraud detection through the application of machine learning techniques: A literature review. Humanities and Social Sciences Communications, 11, 1130. https://doi.org/10.1057/s41599-024-03606-0

Jaswadi, J., Purnomo, H., & Sumiadji, S. (2024). Financial statement fraud in Indonesia: A longitudinal study of financial misstatement in the pre- and post-establishment of financial services authority. Journal of Financial Reporting and Accounting, 22(3), 634–652. https://doi.org/10.1108/JFRA-10-2021-0336

Khamainy, A. H., Ali, M., & Setiawan, M. A. (2022). Detecting financial statement fraud through new fraud diamond model: The case of Indonesia. Journal of Financial Crime, 29(3), 925–941. https://doi.org/10.1108/JFC-06-2021-0118

Lhutfi, I., Ludigdo, U., Prihatiningtias, Y. W., Harymawan, I., & Haider, I. (2026). Fraud in state-owned enterprises: A systematic literature review of governance, behavioral, and technological perspectives. Deviant Behavior. Advance online publication. https://doi.org/10.1080/01639625.2026.2671329

Maniatis, A. (2022). Detecting the probability of financial fraud due to earnings manipulation in companies listed in Athens Stock Exchange Market. Journal of Financial Crime, 29(2), 603–619. https://doi.org/10.1108/JFC-04-2021-0083

Munteanu, V., Zuca, M.-R., Horaicu, A., Florea, L.-A., Poenaru, C.-E., & Anghel, G. (2024). Auditing the risk of financial fraud using the red flags technique. Applied Sciences, 14(2), 757. https://doi.org/10.3390/app14020757

Nejad, M. Y., Khan, A. S., & Othman, J. (2024). A panel data analysis of the effect of audit quality on financial statement fraud. Asian Journal of Accounting Research, 9(4), 422–445. https://doi.org/10.1108/AJAR-04-2023-0112

Ramzan, S., & Lokanan, M. (2025). The application of machine learning to study fraud in the accounting literature. Journal of Accounting Literature, 47(3), 570–596. https://doi.org/10.1108/JAL-11-2022-0112

Riskiyadi, M. (2025). Detecting financial statement fraud using new ensemble learning: Evidence during the COVID-19 pandemic in Indonesia. Journal of Financial Crime, 32(4), 825–842. https://doi.org/10.1108/JFC-08-2024-0264

Roffia, P., & Poffo, M. (2025). Revisiting the fraud triangle in corporate frauds: Towards a polygon of elements. Journal of Risk and Financial Management, 18(3), 156. https://doi.org/10.3390/jrfm18030156

Sahla, W. A., & Ardianto, A. (2023). Ethical values and auditors fraud tendency perception: Testing of fraud pentagon theory. Journal of Financial Crime, 30(4), 966–982. https://doi.org/10.1108/JFC-04-2022-0086

Sari, M. P., Mahardika, E., Suryandari, D., & Raharja, S. (2022). The audit committee as moderating the effect of hexagon's fraud on fraudulent financial statements in mining companies listed on the Indonesia Stock Exchange. Cogent Business & Management, 9(1), 2150118. https://doi.org/10.1080/23311975.2022.2150118

Shahzadi, K., Alim, W., & Khan, S. N. (2025). Do the fraud triangle components fuel complex financial fraud? A study of nonfinancial firms in Pakistan. Journal of Financial Crime, 32(1), 207–220. https://doi.org/10.1108/JFC-10-2023-0270

Tummler, M., & Quick, R. (2026). How to detect fraud in an audit: A systematic review of experimental literature. Management Review Quarterly, 76, 287–332. https://doi.org/10.1007/s11301-024-00480-7

Downloads

Published

2026-08-22

How to Cite

Anggraini, R. Z., Nasution, A. A., Risanty, & Sitepu, Y. L. B. (2026). Pengaruh Fraud Pentagon Theory dalam Mendeteksi Financial Statement Fraud pada Perusahaan BUMN Tahun 2020-2024. Surplus: Jurnal Ekonomi Dan Bisnis, 5(1), 1518–1538. https://doi.org/10.71456/sur.v5i1.2560