Proceedings of the 4th International Conference on Management Science and Industrial Engineering, pp.46 – 51 .
ISSN/ISBN: Not available at this time. DOI: 10.1145/3535782.3535789
Abstract: Benford's law is the study of the frequency of the principal digits contained in numerical data. It is also commonly used in predicting the occurrence of numbers in numerical data, including auditing financial statements. When an Auditor chooses a method of detecting fraud / material misstatement of data, he should first consider which types of accounts that may be analyzed by the Benford method are expected to be effective or not, While most of the accounting data sets related to the Benford distribution are in accordance with the Benford distribution because digital analysis is only effective when applied to the appropriate data set. Auditors need to consider in advance the expectations for the use of the Benford method distribution before conducting digital analysis. The purpose of this study is that we want to demonstrate the effectiveness of the Benford Law method in assisting the auditing process.
Bibtex:
@inproceedings{,
author = {Handoko, Bambang Leo and Willy and Ricky},
title = {Application of Benford Law in Preventing Accounting Data Fraud},
year = {2022},
isbn = {9781450395816},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3535782.3535789},
doi = {10.1145/3535782.3535789},
booktitle = {Proceedings of the 4th International Conference on Management Science and Industrial Engineering},
pages = {46–51},
numpages = {6},
location = {Chiang Mai, Thailand},
series = {MSIE '22}
}
Reference Type: Conference Paper
Subject Area(s): Accounting