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The Role Explainable Artificial Intelligence in Enhancing Auditor Judgment Quality in Indonesia Nugrahanti, Trinandari Prasetya; Fardiman, Fardiman; Lanjarsih, Laela; Ratna, Primadonna; Ritha, Henny
The Es Accounting And Finance Vol. 3 No. 03 (2025): The Es Accounting And Finance (ESAF)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esaf.v3i03.666

Abstract

This study explores the role of Explainable Artificial Intelligence (XAI) in improving the quality of auditors’ decision-making in Indonesia. As AI systems become more prevalent in auditing practices, concerns regarding transparency and interpretability are increasingly relevant. XAI offers a solution by making AI-driven insights more understandable, thereby supporting professional judgment and reducing reliance on black-box systems. A quantitative approach was used, involving 100 professional auditors who completed a structured questionnaire based on a 5-point Likert scale. Data were analyzed using SPSS version 25. The findings revealed that XAI significantly influences auditors' decision-making quality, particularly in enhancing decision accuracy, risk assessment, and confidence in professional judgments. Regression analysis showed a strong positive relationship between XAI and decision-making quality, with XAI explaining 46.2% of the variance. These results highlight the importance of implementing explainable AI technologies to foster trust, accountability, and effectiveness in auditing practices across Indonesia.
Detection of Fraud Through Professional Scepticism Nugrahanti, Trinandari Prasetyo; Siladjaja, Muljanjo; Fardiman, Fardiman; Rita, Henny; Ashari, Hasan
International Journal of Indonesian Business Review Vol. 2 No. 1 (2023)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibr.v2i1.504

Abstract

Purpose – This study aims to determine the factors influencing the auditor's ability to detect fraud through professional scepticism. Methodology/approach – This research method is quantitative and descriptive. The primary data collection technique uses a questionnaire distributed to the supervisory auditors of central government agencies working at the Central BPKP in the DKI Jakarta Region, Indonesia. Sampling using the purposive sampling method obtained several 40 respondents. Data analysis tools use multiple linear regression analysis and path analysis. Findings – The results showed that the auditor's competence and the internal control system positively affected professional skepticism, but workload did not affect professional skepticism. Meanwhile, professional skepticism has a significant positive impact on the auditor's ability to detect fraud.   Novelty/value –  The existence of an attitude of professional skepticism will be better able to analyze fraudulent acts in the financial statements so that the auditor will increase the detection of fraud in the next auditing process.