Comparing SAW and CPI Method in Decisions Systems Support to Evaluate Teachers Performance

bit-Tech Pub Date : 2020-11-09 DOI:10.32877/BT.V2I3.141
Andi Loa, Benny Daniawan, Tugiman Tugiman, A. Basri
{"title":"Comparing SAW and CPI Method in Decisions Systems Support to Evaluate Teachers Performance","authors":"Andi Loa, Benny Daniawan, Tugiman Tugiman, A. Basri","doi":"10.32877/BT.V2I3.141","DOIUrl":null,"url":null,"abstract":"At educational institutions like Junior High School, Human Resources especially teachers determines the quality of the school. To determine Junior High School have good quality teachers, then the best teacher selection is needed to spur the teacher's performance. However, the best teacher selection at Santa Maria 2 Junior High School which in Tangerang still doing direct observation and no method implements the calculation. To overcome those problems, then Decision Support System is needed to do a calculation and rating the teachers at ease and accurate. The proposed Decision Support System is using Simple Additive Weighting and Composite Performance Index methods, where’s the calculation is obtained from each alternatives score and value weight from each criterion. The criteria in best teacher selection are reviewed from the absence aspect, professionalism, solidarity corps, personality, involving in activities from inside or outside school events. The final result from this calculation formed to ranking. The execution time of the SAW method has a faster average time of 0.489005 than the CPI method with an average time of 0.62258 seconds. On Relative Standard Deviation Testing CPI percentage greater than SAW with 3.90% and CPI 6.48%.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bit-Tech","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32877/BT.V2I3.141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

At educational institutions like Junior High School, Human Resources especially teachers determines the quality of the school. To determine Junior High School have good quality teachers, then the best teacher selection is needed to spur the teacher's performance. However, the best teacher selection at Santa Maria 2 Junior High School which in Tangerang still doing direct observation and no method implements the calculation. To overcome those problems, then Decision Support System is needed to do a calculation and rating the teachers at ease and accurate. The proposed Decision Support System is using Simple Additive Weighting and Composite Performance Index methods, where’s the calculation is obtained from each alternatives score and value weight from each criterion. The criteria in best teacher selection are reviewed from the absence aspect, professionalism, solidarity corps, personality, involving in activities from inside or outside school events. The final result from this calculation formed to ranking. The execution time of the SAW method has a faster average time of 0.489005 than the CPI method with an average time of 0.62258 seconds. On Relative Standard Deviation Testing CPI percentage greater than SAW with 3.90% and CPI 6.48%.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
决策系统支持下SAW与CPI方法在教师绩效评估中的比较
在像初中这样的教育机构,人力资源特别是教师决定了学校的质量。要想确定初中是否有优秀的教师队伍,就需要对教师队伍进行甄选,以激励教师的绩效。然而,在坦格朗的圣玛利亚第二初中的最佳教师评选中,还在做直接观察,没有办法实施计算。为了克服这些问题,需要决策支持系统对教师进行轻松准确的评估。本文提出的决策支持系统采用简单加性加权法和综合性能指数法,其中计算每个备选方案的得分和每个标准的值权重。从缺勤、专业、团结、个性、参与校内外活动等方面考察了优秀教师的评选标准。最后的计算结果形成了排名。SAW方法的平均执行时间为0.489005,而CPI方法的平均执行时间为0.62258秒。在相对标准偏差检验中,CPI百分比大于SAW,分别为3.90%和6.48%。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Implementation Search Engine Optimization (SEO) to Improve Marketing F&B Industry Analysis And Design Of Online Based Plastic Sales Information System With User Acceptance Testing Method Design a Web-based Education Development Contribution Payment Application at SDIT Tahfidz Bintangku Clustering Mental Health on Instagram Users Using K-Means Algorithm Implementation of Business Intelligence In Analyzing Data Using Tableau at PT Global Bintan Permata
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1