在利用 ROC 加权法选拔优秀学生中实施 EDAS 方法

Dedi Darwis, H. Sulistiani, Dyah Ayu Megawaty, Setiawansyah Setiawansyah, Intan Agustina
{"title":"在利用 ROC 加权法选拔优秀学生中实施 EDAS 方法","authors":"Dedi Darwis, H. Sulistiani, Dyah Ayu Megawaty, Setiawansyah Setiawansyah, Intan Agustina","doi":"10.33751/komputasi.v20i2.7904","DOIUrl":null,"url":null,"abstract":"This study aims to provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The EDAS method requires a lot of input, and preference must be precise in the determination of the weight of the criteria. To fix the problem of weighting criteria in the EDAS method, the Centroid Rank Order (ROC) method is used. ROC is a simple method used to assign weight values to each criterion used. The results of this study provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The application of the EDAS method in the selection of exemplary student candidates resulted in exemplary prospective students obtained on behalf of Hadi Santoso with a final score of 0.70885 and obtained 1st rank. The results of these recommendations can help the school determine the selection of the best students by applying the EDAS method and ROC weighting.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of EDAS Method in the Selection of the Best Students with ROC Weighting\",\"authors\":\"Dedi Darwis, H. Sulistiani, Dyah Ayu Megawaty, Setiawansyah Setiawansyah, Intan Agustina\",\"doi\":\"10.33751/komputasi.v20i2.7904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The EDAS method requires a lot of input, and preference must be precise in the determination of the weight of the criteria. To fix the problem of weighting criteria in the EDAS method, the Centroid Rank Order (ROC) method is used. ROC is a simple method used to assign weight values to each criterion used. The results of this study provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The application of the EDAS method in the selection of exemplary student candidates resulted in exemplary prospective students obtained on behalf of Hadi Santoso with a final score of 0.70885 and obtained 1st rank. The results of these recommendations can help the school determine the selection of the best students by applying the EDAS method and ROC weighting.\",\"PeriodicalId\":339673,\"journal\":{\"name\":\"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33751/komputasi.v20i2.7904\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33751/komputasi.v20i2.7904","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

本研究旨在利用 EDAS 法和 ROC 加权法,为挑选最佳学生提供建议,以帮助学校做出决策。EDAS 法需要大量输入,在确定标准权重时必须精确偏好。为了解决 EDAS 方法中的标准权重问题,我们采用了中心点秩 序法(ROC)。ROC 是一种简单的方法,用于为每个标准分配权重值。本研究的结果为使用 EDAS 法和 ROC 加权法选拔最佳学生提供了建议,以帮助学校做出决策。在模范生候选人的遴选中应用 EDAS 方法后,代表 Hadi Santoso 获得模范准学生的最终得分为 0.70885,并获得第一名。这些建议的结果可以帮助学校通过应用 EDAS 方法和 ROC 加权法确定最佳学生的选拔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of EDAS Method in the Selection of the Best Students with ROC Weighting
This study aims to provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The EDAS method requires a lot of input, and preference must be precise in the determination of the weight of the criteria. To fix the problem of weighting criteria in the EDAS method, the Centroid Rank Order (ROC) method is used. ROC is a simple method used to assign weight values to each criterion used. The results of this study provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The application of the EDAS method in the selection of exemplary student candidates resulted in exemplary prospective students obtained on behalf of Hadi Santoso with a final score of 0.70885 and obtained 1st rank. The results of these recommendations can help the school determine the selection of the best students by applying the EDAS method and ROC weighting.
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