Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC)
Vol. 2 No. 1 (2023): Proceeding of International Conference on Information Science and Technology In

Data Mining in Auditing: Challenges and Opportunities

Aditya Arisudhana (Electronic Department, Tidar University)
Khaula Lutfiati Rohmah (Electronic Department, Tidar University)



Article Info

Publish Date
28 Feb 2023

Abstract

Audit is a process of evaluation of a subject matter with a view to express an opinion on whether the subject matter is fairly presented carried out by an independent party. Assessment of the fairness of financial statements is very important because of the conflict of interest between the preparers of financial reports and stakeholders. The audit usually uses sampling to obtain data related to the fairness assessment. The auditor uses sampling because of time and cost constraints. Sampling also has a risk that can lead to errors in assessing the fairness of financial statements. Therefore we need a method that can improve accuracy in data collection and processing, for example data mining. Data mining is a method that can be used to collect and process data more quickly and accurately. The use of data mining techniques that may develop in the future can have an impact on the audit process. Data mining in audits will be both an opportunity and a challenge for auditors in the future

Copyrights © 2023






Journal Info

Abbrev

icostec

Publisher

Subject

Computer Science & IT

Description

ICoSTEC is an annual forum for international researchers and students to exchange ideas on current studies and research topics. The international conference will discuss several sub-topics, including innovation in information science and technology and leveraging ...