Job Performance Analysis Using Factor Evaluation System and Process Mining

Job performance is a method to evaluate the performance such as a company or employee by comparing the work that has been finished in that several period with the standard of company. Factor Evaluation System method is one of popular method to used because it has 9 factors to analyze a position. But FES no more detail in spell out each factor, so in this research using process mining to enrich FES application. Process mining using event log that has history of case, activity, time stamp and resources of employee. This paper using AHP to get weight for every FES factor, so each factor have standard to be achieve. Considering the advantages of FES and process mining, this paper proposes the combination FES and process mining to more detailing the factors of FES, which are required for recruitment using factor all factor that have weight; employee monitoring using factor supervisory controls(2), guidelines(3) and personal contacts(6); for employee training using factor knowledge required by the position(1), personal contacts(6), purpose of contacts(7) and work environment(9); remuneration using factor complexity(4), scope and effect(5) and physical demands(8).