在 Puslitbang Polri 公司员工绩效评估决策支持系统中实施简单加权法

Muhamad Fakhri, Senna Hendrian, Siti Khotijah
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引用次数: 0

摘要

国家警察研究与发展中心(Puslitbang Polri)是一个警察机构,在研究领域开展工作,特别是与警察和社区组织的绩效有关的研究。在国家警察局长领导下,在国家警察局总部一级开展调查、研究、实施和发展工作。在发展过程中,需要有能力并始终保持积极性的人力资源(HR),其中一个解决方案是创建一个计算机化系统来提高员工的积极性,即最佳员工评估决策支持系统。国家警察研究与发展中心的优秀员工评估过程仍按传统方式进行,因此客观性和有效性较差。为了克服这一问题,需要一个好的系统。本研究的目的是对国家警察研究与发展中心的最佳员工进行评估,因为目前还没有一个系统可以帮助国家警察研究与发展中心负责人和人力资源分部负责人确定最佳员工评估。本研究旨在利用国家警察研究与发展中心 8 名员工的数据找出最佳员工。使用的方法是简单加权法(SAW),包含 4 个属性。研究结果表明,1 人被选为最佳员工,并获得了工资奖金。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementasi Metode Simple Additive Weighting pada Sistem Pendukung Keputusan Penilaian Kinerja Pegawai di Puslitbang Polri
The National Police Research and Development Center (Puslitbang Polri) is a police institution that operates in the field of research, especially those related to the performance of police and community organizations. Supporting elements in the fields of research, study, implementation and development at the National Police Headquarters level which is under the National Police Chief. In the development process, competent and always motivated Human Resources (HR) are needed, one solution is to create a computerized system to increase employee motivation, namely the best employee assessment decision support system. The process of evaluating the best employees at the National Police Research and Development Center is still carried out conventionally so it is less objective and effective. To overcome this problem, a good system is needed. The aim of this research is to make an assessment of the best employees at the National Police Research and Development Center, because there is no system that can help the Head of the National Police Research and Development Center and the Head of the Human Resources Subdivision to determine the best employee assessment. This research aims to find out the best employees using data from 8 employees at the National Police Research and Development Center. The method used is Simple Addtive Weighting (SAW) with 4 attributes. The results of the research were that 1 was selected as the best employee and received a salary bonus.
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