最佳员工选择决策系统采用了saw方法(案例研究

Bella Sartika, Duwi Cahya Putri Buani
{"title":"最佳员工选择决策系统采用了saw方法(案例研究","authors":"Bella Sartika, Duwi Cahya Putri Buani","doi":"10.53564/akademika.v14i2.857","DOIUrl":null,"url":null,"abstract":"Simple Addictive Weighting (SAW) method is a definition of the term weighted sum. From this method the basic concept is to determine a weighted summation of the performance rankings on each alternative used in each attribute. The assessment will be more precise because it is based on the value of criteria and the weight of preferences that have been determined. The purpose of this study is to analyze the results of calculations using a decision support system adrift of the selection of outstanding employees in JatiwaringinPondokgede Village as the end result becomes the best assessment. Based on calculations using the Simple Additive Weighting (SAW) method, researchers obtained the best employees as many as 7 people with the highest score obtained by 1. And get 5 employees with the lowest score. By applying the Simple Additive Weight (SAW) method through a more efficient employee performance selection process so that from the village side more quickly decide in choosing the performance of outstanding employees. Decision on the use of Simple Additive Weighting (SAW) methods in agencies and skilled and creative workforces. For 5 employees who get the lowest grades are expected to get more coaching. In order to create better behavior than that.","PeriodicalId":17695,"journal":{"name":"Jurnal Akademika Kimia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK MENGGUNAKAN METODE SAW (STUDI KASUS KELURAHAN JATIWARINGIN\",\"authors\":\"Bella Sartika, Duwi Cahya Putri Buani\",\"doi\":\"10.53564/akademika.v14i2.857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Simple Addictive Weighting (SAW) method is a definition of the term weighted sum. From this method the basic concept is to determine a weighted summation of the performance rankings on each alternative used in each attribute. The assessment will be more precise because it is based on the value of criteria and the weight of preferences that have been determined. The purpose of this study is to analyze the results of calculations using a decision support system adrift of the selection of outstanding employees in JatiwaringinPondokgede Village as the end result becomes the best assessment. Based on calculations using the Simple Additive Weighting (SAW) method, researchers obtained the best employees as many as 7 people with the highest score obtained by 1. And get 5 employees with the lowest score. By applying the Simple Additive Weight (SAW) method through a more efficient employee performance selection process so that from the village side more quickly decide in choosing the performance of outstanding employees. Decision on the use of Simple Additive Weighting (SAW) methods in agencies and skilled and creative workforces. For 5 employees who get the lowest grades are expected to get more coaching. In order to create better behavior than that.\",\"PeriodicalId\":17695,\"journal\":{\"name\":\"Jurnal Akademika Kimia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Akademika Kimia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53564/akademika.v14i2.857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Akademika Kimia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53564/akademika.v14i2.857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

简单成瘾加权法(SAW)是对加权和的一种定义。从这种方法中,基本概念是确定每个属性中使用的每个备选方案的性能排名的加权总和。评估将更加精确,因为它是基于已确定的标准的价值和偏好的权重。本研究的目的是利用决策支持系统对pondogede村jatiwaringin优秀员工的选择进行计算,并分析其结果,因为最终结果成为最佳评估。根据简单加性加权法(Simple Additive Weighting, SAW)的计算,研究人员得到的最佳员工多达7人,得分最高的为1。得到5个得分最低的员工。通过应用简单相加权(SAW)方法,通过更高效的员工绩效选拔过程,使从村方更迅速地决定在选拔绩效优秀的员工。关于在机构和熟练和创造性的工作人员中使用简单加法加权(SAW)方法的决定。对于5名得分最低的员工,他们应该得到更多的指导。为了创造更好的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK MENGGUNAKAN METODE SAW (STUDI KASUS KELURAHAN JATIWARINGIN
Simple Addictive Weighting (SAW) method is a definition of the term weighted sum. From this method the basic concept is to determine a weighted summation of the performance rankings on each alternative used in each attribute. The assessment will be more precise because it is based on the value of criteria and the weight of preferences that have been determined. The purpose of this study is to analyze the results of calculations using a decision support system adrift of the selection of outstanding employees in JatiwaringinPondokgede Village as the end result becomes the best assessment. Based on calculations using the Simple Additive Weighting (SAW) method, researchers obtained the best employees as many as 7 people with the highest score obtained by 1. And get 5 employees with the lowest score. By applying the Simple Additive Weight (SAW) method through a more efficient employee performance selection process so that from the village side more quickly decide in choosing the performance of outstanding employees. Decision on the use of Simple Additive Weighting (SAW) methods in agencies and skilled and creative workforces. For 5 employees who get the lowest grades are expected to get more coaching. In order to create better behavior than that.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信