Abstract

Rapid technological developments caused the increasing number of computerized data processing. With the increasing complexity of business processes, business process management technologies such as ERP (Enterprise Resource Planning) are increasingly being used. This resulted in the availability of data more abundant so that excavation and search information from the dataset will be a valuable knowledge. In this paper, we have done the process mining to obtain an interesting pattern of event log data. In this research, data mining method that we are used is the sequential pattern mining algorithm using FP-Growth-Prefix Span. In addition, we are also used the fuzzy approach to handle the time interval of the analyzed data, so that the sequential pattern that produced become fuzzy time-interval sequential pattern. The application of these methods in a business processes that produce fuzzy time interval sequential pattern. From the analysis, the result shown that there is a minimum effect on the pattern of the resulting support. Furthermore, the results of the analysis can be used as consideration in the analysis of business processes.

Original languageEnglish
Title of host publication2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016
Subtitle of host publicationProceeding of ConFAST 2016 Conference Series: International Conference on Physics and Applied Physics Research, ICPR 2016, International Conference on Industrial Biology , ICIBIO 2016, and International Conference on Information System and Applied Mathematics, ICIAMATH 2016
EditorsRara Sandhy Winanda, Qonitatul Hidayah, Iwan Tri Riyadi Yanto, Nursyiva Irsalinda, Oktira Roka Aji, Damar Yoga Kusuma, Syarifah Inayati
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735414037
DOIs
Publication statusPublished - 17 Jun 2016
Event2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016 - Yogyakarta, Indonesia
Duration: 25 Jan 201626 Jan 2016

Publication series

NameAIP Conference Proceedings
Volume1746
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016
Country/TerritoryIndonesia
CityYogyakarta
Period25/01/1626/01/16

Keywords

  • Business processes
  • FP-growth
  • Fuzzy time-interval sequential pattern
  • PrefixSpan
  • Process mining

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