Open AccessComputer-Assisted Performance Measurement using Analityc Hierarchy Process
Author(s) -
Anna Dara Andriana,
R. Susanto
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/662/2/022044
Subject(s) - analytic hierarchy process , competence (human resources) , hierarchy , attendance , computer science , rating scale , process (computing) , knowledge management , management science , operations research , mathematics , psychology , statistics , engineering , social psychology , economics , market economy , economic growth , operating system
The purpose of this research is to choose the best employees who are entitled to a reward using Analytic hierarchy process method. Analytical hierarchy process method useful for choosing the best employee by giving subjective relative values about the importance of each variable, includes key Performance Indicator (KPI), attendance, and competence. With the rating scale, we can assess all employee and get the value. The results show that the analytic hierarchy process method and rating scale will produce employees with the highest scores. This research helps the company to determine the best employee who gets highest score from analytical hierarchy process technique.