Fraud detection using Process mining and analytical hierarchy process with verification rules on ERP business process

Naufal, Mohammad Farid (2019) Fraud detection using Process mining and analytical hierarchy process with verification rules on ERP business process. In: International Conference on Informatics, Technology, and Engineering 2019 (InCITE 2019), August 22-23, 2019, Denpasar, Bali, Indonesia.

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Abstract

Today many corporate runs their business process by applying Enterprise Resource Planning (ERP). A corporate which has a well-defined business process will run its business process effectively and efficiently. In practice, the executed business process is not always complied with Standard Operational Procedure (SOP). The deviations of business process can be identified by analysing event logs from the business process activities using process mining method. The various kinds of deviation are skip activity, wrong throughput time, wrong actor, wrong duty, and wrong decision. But not all deviations are fraud. Hence, Analytical Hierarchy Process and verification rules are employed to analyse the deviations to determine the fraud status. The proposed method successfully detected frauds conducted in business processes of bank credit application and procurement process. The proposed method achieved up to 95% of accuracy.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering > Department of Informatic
Depositing User:	MOHAMMAD FARID NAUFAL
Date Deposited:	21 Jul 2020 05:14
Last Modified:	28 Apr 2021 15:42
URI:	http://repository.ubaya.ac.id/id/eprint/37911

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