Decision Support System for Determining Employee Movements Using the COPRAS Method

M. D. Irawan, Harold Situmorang, Rianto Sitanggang, D. Sawitri
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引用次数: 1

Abstract

Employee mutation is one aspect that greatly affects the performance of employees in a company. However, employee mutations at PT. PLN (Persero) UPDL Tuntungan is still done manually, so determining the employees to be transferred takes quite a long time and the results are not optimal. The research aims to facilitate PT. PLN (Persero) UPDL Benefits in determining employee mutations in order to obtain maximum results. The stages of the research were carried out by collecting data by means of interviews then the data was inputted into the system to be calculated using the COPRAS method which was then stored into the database so that it would produce decisions with the final result ranking by the system by sorting the smallest to the largest values. The results of this study are based on the COPRAS method, namely the alternative of Ahmad Fauzy Hamdani Rahmat being the first alternative with a value of 100%. This is because Ahmad Fauzy Hamdani Rahmat's alternative meets almost all criteria ranging from age, years of service, education, position and status.
使用COPRAS方法确定员工调动的决策支持系统
员工变异是影响公司员工绩效的一个重要方面。然而,PT。PLN(Persero)UPDL Tuntungan的员工突变仍然是手动完成的,因此确定要调动的员工需要相当长的时间,而且结果并不理想。该研究旨在促进PT。PLN(Persero)UPDL福利确定员工突变,以获得最大结果。研究的各个阶段是通过访谈收集数据来进行的,然后将数据输入到系统中,使用COPRAS方法进行计算,然后将其存储到数据库中,以便做出决策,最终结果由系统通过从最小值到最大值进行排序。本研究的结果基于COPRAS方法,即Ahmad Fauzy Hamdani Rahmat的替代方案是第一个值为100%的替代方案。这是因为Ahmad Fauzy Hamdani Rahmat的替代方案几乎符合年龄、服务年限、教育程度、职位和地位等所有标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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40
审稿时长
4 weeks
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