Process Mining and Factor Evaluation System Method for Analysing Job Performance

Gabriel Sophia, Riyanarto Sarno

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

5 Citations (Scopus)

Abstract

Job performance is a combination of ability, effort, and opportunity that can be judged based on the work of the employee. This research using Factor Evaluation System method to analyze the job performance because this is one of the popular methods. FES has nine factor to analyze the employee, but the reality just nine factor is not enough. So we use process mining to improve the FES. Every event in process mining must have a history of the time stamp, case, activities, and resources of the employee. This paper proposes the combination of FES and process mining because considering the advantages of both. Process mining makes the factors of FES more detail. Details for recruitment using all FES factor that have weight from Analytic Hierarchy Process; Factor supervisory controls (2) used for employee monitoring along with factor guidelines (3) and personal contacts (6); Factor knowledge required by the position (1), personal contacts (6), purpose of contacts (7) and work environment (9) are used to assign the employee need training or not; For remuneration using remaining factors of FES.

Original languageEnglish
Title of host publicationProceeding - 2018 International Symposium on Advanced Intelligent Informatics
Subtitle of host publicationRevolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages153-156
Number of pages4
ISBN (Electronic)9781538652800
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 International Symposium on Advanced Intelligent Informatics, SAIN 2018 - Yogyakarta, Indonesia
Duration: 29 Aug 201830 Aug 2018

Publication series

NameProceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018

Conference

Conference2018 International Symposium on Advanced Intelligent Informatics, SAIN 2018
Country/TerritoryIndonesia
CityYogyakarta
Period29/08/1830/08/18

Keywords

  • factor evaluation system
  • job performance
  • process mining

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