Setyawan, EC (2020). The Use of Benford’s Law in Performance Audit to Detect Fraud in the State Expenditure Transactions Assisted by Idea Software (A Case Study at the Transportation Ministry Work Units) . Asia Pacific Fraud Journal 5(1), pp. 147-159.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
Antonio, GR (2023). Numbers Don’t Lie: Decoding Financial Error and Fraud through Benford’s Law. UTSAHA (Journal of Entrepreneurship) 2(3)
. DOI:10.56943/joe.v2i3.367.
Wiryadinata, D, Sugiharto, A and Tarno (2023). The Use of Machine Learning to Detect Financial Transaction Fraud: Multiple Benford Law Model for Auditors. Journal of Information Systems Engineering & Business Intelligence 9(2), pp. 239-252. DOI:10.20473/jisebi.9.2.239-252.