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Abstract

The purpose of this study is to examine the likelihood of financial statement fraud using the fraud hexagon model, including pressure (financial stability), opportunity (ineffective monitoring), rationalization (auditor change), capability (director change), arrogance (frequent CEO pictures), and conspiracy (connection with government projects) on financial statement fraud. The sample of this study is manufacturing companies listed on the Indonesian Stock Exchange from 2019 to 2021, with a total of 73 companies. The data was processed using SPSS 22 software. The results of this study indicate that financial stability has a positive effect on financial statement fraud. However, ineffective monitoring, change of auditor, change of directors, frequent number of CEO pictures, and connection with government projects do not affect financial statement fraud.

Keywords

Financial Stability Opportunity Rationalization Arrogance

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How to Cite
Yulianti, Y., Sari, R. N., Santoso, A., Ekdjaja, M., & Rorlen, R. (2024). Financial Statement Fraud Detection: The Hexagon Fraud Model Approach. Atestasi : Jurnal Ilmiah Akuntansi, 7(1), 674–686. https://doi.org/10.57178/atestasi.v7i1.856
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References

  1. ACFE. (2022). Occupational Fraud 2022: A Report to the Nations. In Association of Certified Fraud Examiners.
  2. ACFE Indonesia. (2020). Survei Fraud Indonesia 2019. In Indonesia Chapter #111 (Vol. 53, Issue 9). https://acfe-indonesia.or.id/survei-fraud-indonesia/
  3. Achmad, T., Ghozali, I., Rahardian, M., Helmina, A., Hapsari, D. I., & Pamungkas, I. D. (2023). Detecting Fraudulent Financial Reporting Using the Fraud Hexagon Model : Evidence from the Banking Sector in Indonesia.
  4. Alfarago, D., Syukur, M., & Mabrur, A. (2023). The likelihood of fraud from the fraud hexagon perspective: evidence from Indonesia. 43(1), 34–51.
  5. CNBC Indonesia. (2019). Tiga Pilar dan Drama Penggelembungan Dana. https://www.cnbcindonesia.com/market/20190329075353-17-63576/tiga-pilar-dan-drama-penggelembungan-dana
  6. Handoko, B. L. (2021). An Analysis of Fraud Hexagon in Detecting Financial Statement Fraud ( Empirical Study of Listed Banking Companies on Indonesia Stock Exchange for Period 2017 – 2019 ). ICEBA, 24, 93–100.
  7. Ikatan Akuntan Indonesia. (2019). Kerangka Konseptual Pelaporan Keuangan (KKPK). In Dsak Iai. http://iaiglobal.or.id/v03/files/file_berita/DE Kerangka Konseptual Pelaporan Keuangan (KKPK).pdf
  8. Imtikhani, L., & Sukirman, S. (2021). Determinan Fraudulent Financial Statement Melalui Perspektif Fraud Hexagon Theory Pada Perusahaan Pertambangan. Jurnal Akuntansi Bisnis, 19(1), 96. https://doi.org/10.24167/jab.v19i1.3654
  9. Jensen, M. C., & Meckling, W. H. (1976). Racial diversity and its asymmetry within and across hierarchical levels: The effects on financial performance. Journal of Financial Economics, 3, 305–360. https://doi.org/https://doi.org/10.1016/0304-405X(76)90026-X
  10. Larum, K., Zuhroh, D., & Subiyantoro, E. (2021). Fraudlent financial reporting: menguji potensi kecurangan pelaporan keuangan dengan menggunakan teori fraud hexagon. AFRE (Accounting and Financial Review), 4(1), 82–94. https://doi.org/10.26905/afr.v4i1.5957
  11. Lionardi, M., & Suhartono, S. (2022). Pendeteksian Kemungkinan Terjadinya Fraudulent Financial Statement menggunakan Fraud Hexagon. Moneter - Jurnal Akuntansi Dan Keuangan, 9(1), 29–38. https://doi.org/10.31294/moneter.v9i1.12496
  12. Meidijati, & Amin, M. N. (2022). Detecting Fraudulent Financial Reporting Through Hexagon Fraud Model : Moderating Role of Income Tax Rate. International Journal of Social and Management Studies (IJOMAS), 3(2), 311–322.
  13. Mukaromah, I., & Budiwitjaksono, G. S. (2021). Fraud Hexagon Theory dalam Mendeteksi Kecurangan Laporan Keuangan pada Perbankan yang Terdaftar di Bursa Efek Indonesia Tahun 2015-2019. Jurnal Ilmiah Komputerisasi Akuntansi, 14(1), 61–72. http://journal.stekom.ac.id/index.php/kompakpage61
  14. Novarina, D., & Triyanto, D. N. (2022). Pengaruh Fraud Hexagon Terhadap Kecurangan Laporan Keuangan Pada Perusahaan LQ 45 Yang Terdaftar di Bursa Efek Indonesia Periode 2016-2020. Jurnal Akuntansi Dan Keuangan, 10(2), 183. https://doi.org/10.29103/jak.v10i2.7352
  15. Rizkiawan, M., & Subagio, S. (2023). Analisis Fraud Hexagon dan Tata Kelola Perusahaan Atas Adanya Kecurangan Dalam Laporan Keuangan. Integritas : Jurnal Antikorupsi, 8(2), 269–282. https://doi.org/10.32697/integritas.v8i2.909
  16. Sagala, S. G., & Siagian, V. (2021). Pengaruh Fraud Hexagon Model Terhadap Fraudulent Laporan Keuangan pada Perusahaan Sub Sektor Makanan dan Minuman yang Terdaftar di BEI Tahun 2016-2019. Jurnal Akuntansi, 13(2), 245–259. https://doi.org/10.28932/jam.v13i2.3956
  17. Sari, M. P., Mahardika, E., Suryandari, D., & Raharja, S. (2022). The audit committee moderates the effect of Hexagon’s fraud on fraudulent financial statements in mining companies listed on the Indonesia stock exchange. Cogent Business and Management, 9(1). https://doi.org/10.1080/23311975.2022.2150118
  18. Siregar, A., & Murwaningsari, E. (2022). Pengaruh Dimensi Fraud Hexagon terhadap Financial Statement Fraud. Jurnal Kajian Akuntansi, 6(2), 211. https://doi.org/10.33603/jka.v6i2.6799
  19. Sukmadilaga, C., Winarningsih, S., Handayani, T., Herianti, E., & Ghani, E. K. (2022). Fraudulent Financial Reporting in Ministerial and Governmental Institutions in Indonesia: An Analysis Using Hexagon Theory. Economies, 10(4). https://doi.org/10.3390/economies10040086
  20. Wilantari, N. M., & Ariyanto, D. (2023). Determinan Fraud Hexagon Theory dan Indikasi Financial Statement Fraud. E-Jurnal Akuntansi, 33(1), 87. https://doi.org/10.24843/eja.2023.v33.i01.p07
  21. Yadiati, W., Rezwiandhari, A., & Ramdany. (2023). Detecting fraudulent financial reporting in state-owned company: hexagon theory approach. Jurnal Akuntansi, 10(Januari), 128–147