SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KARYAWAN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING PADA BENGKEL SEROJA MOTOR

Widia Nisnaini, Lalu Puji Indra Kharisma, Muhammad Azmi
{"title":"SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KARYAWAN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING PADA BENGKEL SEROJA MOTOR","authors":"Widia Nisnaini, Lalu Puji Indra Kharisma, Muhammad Azmi","doi":"10.46764/teknimedia.v3i2.76","DOIUrl":null,"url":null,"abstract":"Bengkel Seroja Motor is a workshop as well as a shop located in Kotaraja Village, Sikur District, East Lombok Regency. Currently, the increasing number of employees who come from different educational backgrounds makes the diversity of employees also increasingly complex, making it difficult to choose the best employees. Therefore, it is necessary to develop a Decision Support System as an alternative solution, so as to increase efficiency and ef- fectiveness in the selection and improve quality in determining the best employees. The decision support system for determining the best employees uses the SAW (simple additive weighting) method based on predetermined criteria and weights. The criteria used as indicators are absenteeism, discipline, work attitude, responsibility, and per- formance. The SAW (simple additive weighting) method was chosen because it is able to select the best alternative from a number of alternatives. This research was conducted by looking for the weights on each attribute, then ranking to determine the best employees. \nIn this study using the Waterfall methodology, which is a software development method that begins with ana- lyzing company needs, designing, building applications, to conducting trials. The results of this study are in the form of a decision support application, which can recommend the best employees at the Seroja Motor Workshop.","PeriodicalId":299601,"journal":{"name":"TEKNIMEDIA: Teknologi Informasi dan Multimedia","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"TEKNIMEDIA: Teknologi Informasi dan Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46764/teknimedia.v3i2.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Bengkel Seroja Motor is a workshop as well as a shop located in Kotaraja Village, Sikur District, East Lombok Regency. Currently, the increasing number of employees who come from different educational backgrounds makes the diversity of employees also increasingly complex, making it difficult to choose the best employees. Therefore, it is necessary to develop a Decision Support System as an alternative solution, so as to increase efficiency and ef- fectiveness in the selection and improve quality in determining the best employees. The decision support system for determining the best employees uses the SAW (simple additive weighting) method based on predetermined criteria and weights. The criteria used as indicators are absenteeism, discipline, work attitude, responsibility, and per- formance. The SAW (simple additive weighting) method was chosen because it is able to select the best alternative from a number of alternatives. This research was conducted by looking for the weights on each attribute, then ranking to determine the best employees. In this study using the Waterfall methodology, which is a software development method that begins with ana- lyzing company needs, designing, building applications, to conducting trials. The results of this study are in the form of a decision support application, which can recommend the best employees at the Seroja Motor Workshop.
最佳员工决策支持系统使用简单的ad试验性WEIGHTING方法在电机SEROJA车间
Bengkel serja Motor是一家车间和商店,位于东龙目岛Sikur区Kotaraja村。目前,来自不同教育背景的员工越来越多,使得员工的多样性也越来越复杂,很难选择最好的员工。因此,有必要开发一个决策支持系统作为替代解决方案,以提高选择的效率和有效性,并提高确定最佳员工的质量。决策支持系统使用基于预定标准和权重的SAW(简单加性加权)方法来确定最佳员工。作为指标的标准是旷工、纪律、工作态度、责任和绩效。选择SAW(简单加性加权)方法是因为它能够从许多备选方案中选择最佳备选方案。这项研究是通过寻找每个属性的权重,然后排名来确定最佳员工。在本研究中使用瀑布方法,这是一种软件开发方法,从分析公司需求开始,设计,构建应用程序,进行试验。本研究的结果以决策支持应用程序的形式,可以为世佳汽车车间推荐最佳员工。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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