Fraud detection on event logs using fuzzy association rule learning

Kadek Dwi Febriyanti, Riyanarto Sarno, Yutika Amelia Effendi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Enterprise Resource Planning (ERP) is an enterprise information system designed to coordinate resources, information, and all activities required for a complete business process within a company. The most important requirement of an ERP system is integration. Integration in ERP system is used to combine the needs of a single software in a logical database, so that all departments in a company can share information and communicate with each other well. However, in its application, business process always changes dynamically. The changes will cause many variations to the original business process. This research discusses some frauds occured due to variations in business processes. Some frauds can be detected by using a method of process mining with Association Rule Learning approach. Process mining technique mine the fraud in the business process by checking the mismatch between event logs of business process with business process model of a company, which is better known as Standard Operating Procedure (SOP).

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Information and Communication Technology and System, ICTS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages149-154
Number of pages6
ISBN (Electronic)9781538628256
DOIs
Publication statusPublished - 19 Jan 2018
Externally publishedYes
Event11th International Conference on Information and Communication Technology and System, ICTS 2017 - Surabaya, Indonesia
Duration: 31 Oct 201731 Oct 2017

Publication series

NameProceedings of the 11th International Conference on Information and Communication Technology and System, ICTS 2017
Volume2018-January

Conference

Conference11th International Conference on Information and Communication Technology and System, ICTS 2017
Country/TerritoryIndonesia
CitySurabaya
Period31/10/1731/10/17

Keywords

  • association rule learning
  • fraud detection
  • fraud detection
  • fuzzy multi attribute decision making

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