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Journal : Jurnal Riset Akuntansi dan Keuangan

Analysis of The Use of AI in Detecting Managerial Fraud: Systematic Literature Review Nadila, Nadila; Panggeso, Anastasia Gloria; Usman, Asri; Mediaty, Mediaty
Jurnal Riset Akuntansi dan Keuangan Vol 12, No 3 (2024): Jurnal Riset Akuntansi dan Keuangan. Desember 2024 [DOAJ dan SINTA Indexed]
Publisher : Program Studi Akuntansi FPEB UPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jrak.v12i3.75231

Abstract

This article discusses the role of artificial intelligence (AI) in managerial fraud detection, a critical issue for many organizations. In recent years, technology has driven the use of AI to identify and prevent fraud, such as misleading financial statements and asset misappropriation. AI offers a more sophisticated approach than traditional techniques, using big data analytics and machine learning algorithms to detect suspicious patterns with high accuracy. By leveraging historical and real-time data, AI systems can spot anomalies that humans might miss. The application of this technology increases the efficiency of fraud detection and helps organizations take more proactive preventive measures, potentially reducing the cost of investigations and litigation. However, challenges such as ethical issues, data privacy, and algorithm transparency need to be addressed. Overall, the potential for AI to improve integrity and accountability in management is significant, making it a critical tool in maintaining organizational health. With the ever-increasing complexity of the business environment, the use of AI in managerial fraud detection is expected to continue to grow.
The Influences of Financial Distres and Internal Control on Earnings Management with Good Corporate Governance as a Moderating Variable Fathiha, Ananda Ulvira; Alimuddin, Alimuddin; Usman, Asri
Jurnal Riset Akuntansi dan Keuangan Vol 12, No 3 (2024): Jurnal Riset Akuntansi dan Keuangan. Desember 2024 [DOAJ dan SINTA Indexed]
Publisher : Program Studi Akuntansi FPEB UPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jrak.v12i3.75615

Abstract

This study investigates the effects of financial distress and internal control on earnings management, considering good corporate governance as a moderating factor. The research targets primary consumer goods firms listed on the Indonesia Stock Exchange (IDX) during the period from 2020 to 2023. The objective is to evaluate the influence of financial distress and internal control on accrual-based earnings management using a quantitative approach and path analysis. The findings indicate that financial distress has a significant positive impact on accrual earnings management but does not affect real earnings management. In contrast, internal control negatively influences accrual earnings management, without significantly impacting real earnings management. Furthermore, good corporate governance moderates the effects of financial distress and internal control on accrual earnings management but does not extend this moderating effect to real earnings management. These results enhance the understanding of the moderating role of good corporate governance in managing earnings practices.Keyword:Financial Distress, Internal Control, Good Corporate Governance, Earnings Management
The Influence of Regional Financial Accounting System and Internal Control System on the Quality of Regional Government Financial Reports with Human Resource Competence as a Moderating Variable Muhdsan, Mudhi'ah; Usman, Asri; ., Alimuddin
Jurnal Riset Akuntansi dan Keuangan Vol 12, No 3 (2024): Jurnal Riset Akuntansi dan Keuangan. Desember 2024 [DOAJ dan SINTA Indexed]
Publisher : Program Studi Akuntansi FPEB UPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jrak.v12i3.76237

Abstract

Penelitian ini bertujuan untuk menguji pengaruh SPI dan SAKD terhadap LKPD, dengan Kompetensi SDM sebagai variabel moderasi. Sampel penelitian sebanyak 81 pegawai SKPD di Kabupaten Sinjai yang dipilih dengan metode purposive sampling. Analisis dilakukan dengan menggunakan MRA yang merupakan fitur dari perangkat lunak SPSS versi terbaru. Hasil penelitian menunjukkan bahwa kualitas LKPD tidak dipengaruhi oleh SAKD, tetapi dipengaruhi secara positif oleh SPI, sedangkan Kompetensi SDM mampu memoderasi pengaruh kedua sistem tersebut .