Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal E-Jurnal Akuntansi
Risna Nurmalasari
Unknown Affiliation
Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Comparative Analysis of the Effectiveness of Three Models in Detecting Financial Statement Fraud Achmad Haryadi; Risna Nurmalasari; Yanti, Harti Budi
E-Jurnal Akuntansi Vol. 36 No. 2 (2026)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJA.2026.v36.i02.p09

Abstract

Financial statement transparency has become a critical issue in the post–Covid-19 period, particularly in the infrastructur, construction, property, and real estate sectors, which face financing pressures and complex revenue recognition. This study aims to compare the effectiveness of the Beneish M-Score, Dechow F-Score, and Altman Z-Score in detecting the risk of financial statement fraud (FSF). A quantitative approach is employed using classification analysis through a confusion matrix, complemented by ROC and AUC testing. The sample consists of 50 companies listed on the Indonesia Stock Exchange during the 2022–2024 period, with a total of 150 financial statement observations. The results indicate that the Altman Z-Score demonstrates the best performance, with an accuracy of 68%, an F1-Score of 62,5%, and an AUC of 0.742, followed by the Dechow F-Score and the Beneish M-Score. These findings suggest that financial distress is a key signal in identifying FSF. The study concludes that the Altman Z-Score is effective as an early warning system for financial statement fraud risk in the examined sectors.
Co-Authors Achmad Haryadi Yanti, Harti Budi