IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING METHOD FOR BEST PERFORMING EMPLOYEE SELECTION (CASE STUDY AT NATIONAL STANDARDIZATION AGENCY OF INDONESIA)

Yuwan Jumaryadi
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Abstract

Technological developments can help human in their work. National Standardization Agency of Indonesia often gives awards for each employee based on the achievements of an employee. With the award given, it is expected that employees will motivated to provide the best work results for the company. The current rating system for National Standardization Agency of Indonesia employees is still by distributing questionnaires, then the results of the questionnaire are recapitulated and ranked based on the highest score to the lowest value. The assessment process currently take a long time so the information obtained is not fast. With the existing problems, we need a system that can help the company in determining the best employees with predetermined criteria. Based on the problems that occur, it need decision support system that can help the company to choose the best employee. The method used in decision making is Simple Additive Weighting (SAW). Decision making with Simple Additive Weighting method is used for decision making using the weighted addition method. Calculations in employee evaluations are carried out directly by superiors with prescribed considerations. The system developed can determine the employees who have the best performance, and helpful for decision maker to make final decision.
简单加性加权法在最佳绩效员工选择中的应用(以印尼国家标准化机构为例)
技术的发展可以帮助人类的工作。印度尼西亚国家标准化机构经常根据员工的成就对每位员工进行奖励。有了这个奖项,公司希望员工能有动力为公司提供最好的工作成果。目前印尼国家标准化机构对员工的评级制度仍然是通过发放问卷,然后对问卷的结果进行重述,并根据最高分到最低值进行排名。目前的评估过程需要很长时间,因此获得的信息并不快。针对现有的问题,我们需要一个系统,可以帮助公司用预先确定的标准来确定最好的员工。根据出现的问题,需要决策支持系统来帮助公司选择最合适的员工。在决策中使用的方法是简单加性加权(SAW)。采用简单加性加权法进行决策,采用加权加法法进行决策。员工评价的计算由上级根据规定的考虑因素直接进行。所开发的系统可以确定绩效最好的员工,为决策者做出最终决策提供帮助。
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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