Implementation of Application Based Audits to Increase Auditor Effectiveness in Detecting Fraud

Authors

  • Dewi Saptantinah Puji Astuti Universitas Slamet Riyadi
  • Abeta Betriyana Universitas Slamet Riyadi

DOI:

https://doi.org/10.31334/bijak.v22i2.5776

Keywords:

Fraud; Financial Reports; Detection Effectiveness; Application-Based Audit; Auditor Effectiveness;

Abstract

Fraud in the business world is a major problem that can undermine auditor credibility and reduce the quality of financial reports. Auditors are required to be able to detect indications of fraud more accurately, but the limitations of traditional methods often make fraud detection less than optimal. Digital transformation in audit practice, through the implementation of simple applications, presents new opportunities. This study aims to analyze the role of application-based auditing on auditor effectiveness in detecting fraud. Primary data was obtained from 60 auditors from Public Accounting Firms (KAP) in Central Java with a minimum experience of three years. Data analysis was conducted using descriptive statistics, instrument testing, classical assumption tests, and simple linear regression. The results show that the application of application-based auditing has a positive and significant effect on auditor effectiveness in detecting fraud. This study emphasizes the importance of utilizing digital audit technology to improve audit quality. Recommendations for further research include expanding the audit sample by expanding the research area and adding variables such as auditor competence, ethics, and independence.

References

ACFE. (2023). Report to the nations on occupational fraud and abuse. Association of Certified Fraud Examiners.

Alles, M. G., Kogan, A., & Vasarhelyi, M. A. (2008). Putting continuous auditing theory into practice: Lessons from two pilot implementations. Journal of Information Systems, 22(2), 195–214. https://doi.org/10.2308/jis.2008.22.2.195

Arens, A. A., Elder, R. J., & Beasley, M. S. (2014). Auditing and assurance services: An integrated approach (15th ed.). Pearson Education.

Bierstaker, J. L., Burnaby, P., & Thibodeau, J. (2001). The impact of information technology on the audit process: An assessment of the state of the art and implications for the future. Managerial Auditing Journal, 16(3), 159–164. https://doi.org/10.1108/02686900110385489

Cressey, D. R. (1953). Other people’s money: A study in the social psychology of embezzlement. Free Press.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Debreceny, R., Gray, G. L., & Rahman, A. (2010). The determinants of the use of computer-assisted audit techniques. Advances in Accounting, 26(1), 123–131. https://doi.org/10.1016/j.adiac.2010.03.002

Dewi, A. N., & Wilasittha, A. A. (2024). Penerapan aplikasi Atlas terhadap proses penilaian risiko. Jurnal Metansi, 7(1), 45–53.

Ghozali, I. (2021). Aplikasi analisis multivariate dengan program IBM SPSS 26 (10th ed.). Badan Penerbit Universitas Diponegoro.

Janvrin, D., Bierstaker, J., & Lowe, D. J. (2009). An examination of audit information technology use and perceived importance. Accounting Horizons, 23(1), 1–21. https://doi.org/10.2308/acch.2009.23.1.1

Kranacher, M. J., Riley, R., & Wells, J. T. (2019). Forensic accounting and fraud examination (2nd ed.). Wiley.

Mahzan, N., & Lymer, A. (2014). Examining the adoption of computer-assisted audit tools and techniques. Managerial Auditing Journal, 29(4), 327–349. https://doi.org/10.1108/MAJ-05-2013-0878

Miranda, G. (2024). Pengaruh penggunaan Atlas terhadap kinerja auditor. Jurnal Akuntansi dan Auditing, 21(1), 55–67.

Pradana, R. A., & Ardiami, K. P. (2023). Penggunaan aplikasi Atlas terhadap kinerja auditor. Balance: Jurnal Akuntansi dan Bisnis, 8(1), 31–39.

Rahman, W. A., & Azmiyanti, R. (2023). Evaluasi penerapan ATLAS atas penilaian risiko. Jurnal Sistem Informasi, 19(2), 88–97.

Sandi, F. (2024, March 15). Audit KAP lapkeu Indofarma temukan fraud & kerugian Rp 371 M. CNBC Indonesia. CNBC Indonesia

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.

Setiawan, I., Prasetyo, B., & Nugroho, A. (2023). Penerapan ATLAS, kompetensi, dan independensi auditor terhadap kualitas audit. Jurnal Akuntansi dan Keuangan, 15(2), 101–112.

Siregar, S. (2021). Teknologi audit dan perkembangan digitalisasi profesi akuntan. Jurnal Akuntansi Multiparadigma, 12(1), 45–56. https://doi.org/10.21776/ub.jamal.2021.12.1.04

Stiawan, I. K. J., & Keristina, N. M. D. (2023). Faktor penerimaan ATLAS dengan TAM dan TTF. Dinasti International Journal of Economics, Finance & Accounting, 4(3), 210–221.

Sugiyono. (2022). Metode penelitian kuantitatif, kualitatif, dan R&D (3rd ed.). Alfabeta.

Wardhana, R. S. (2023). Studi keperilakuan penggunaan ATLAS dan kualitas audit. Jurnal Ilmiah Mahasiswa FEB, 11(2), 1–12.

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Published

2026-05-11

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