印度尼西亚银行奖学金获得者决策支持系统的实施

Dian Megah Sari, N. Arifin, Nurfitrianingsih, A. M. Yusuf
{"title":"印度尼西亚银行奖学金获得者决策支持系统的实施","authors":"Dian Megah Sari, N. Arifin, Nurfitrianingsih, A. M. Yusuf","doi":"10.56134/cje.v1i1.10","DOIUrl":null,"url":null,"abstract":"The Bank Indonesia Scholarship is a Bank Indonesia social program in the form of tuition assistance for undergraduate students (S1) at various State Universities (PTN). However, often in terms of determining scholarship recipients it is not right on target, this is caused because the scholarship award has not used the tools or methods used to determine scholarship recipients, for that a system is designed to determine scholarship recipients. The selection process for Bank Indonesia Scholarships requires accuracy and a long time because each student data will be compared one by one according to predetermined criteria and is also prone to accidental human errors. Meanwhile, Bank Indonesia has not determined a method to help select prospective scholarship recipients and the selection process is still carried out manually by comparing the student data of prospective scholarship recipients one by one, for this reason, the application of the algorithm in this study is to combine the Fuzzy Multiple Decision Making (FMAM) method and Simple Additive Weighting (Saw) with provisions and criteria that have been determined by Bank Indonesia. The FMADM method is used to find alternatives from a number of alternatives with predetermined criteria and the SAW method is used to rank the existing alternatives. The results of this study are used as a tool in making decisions to recommend scholarship recipients.","PeriodicalId":335204,"journal":{"name":"Ceddi Journal of Education","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of Decision Support System for Scholarship Recipients at Bank Indonesia\",\"authors\":\"Dian Megah Sari, N. Arifin, Nurfitrianingsih, A. M. Yusuf\",\"doi\":\"10.56134/cje.v1i1.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Bank Indonesia Scholarship is a Bank Indonesia social program in the form of tuition assistance for undergraduate students (S1) at various State Universities (PTN). However, often in terms of determining scholarship recipients it is not right on target, this is caused because the scholarship award has not used the tools or methods used to determine scholarship recipients, for that a system is designed to determine scholarship recipients. The selection process for Bank Indonesia Scholarships requires accuracy and a long time because each student data will be compared one by one according to predetermined criteria and is also prone to accidental human errors. Meanwhile, Bank Indonesia has not determined a method to help select prospective scholarship recipients and the selection process is still carried out manually by comparing the student data of prospective scholarship recipients one by one, for this reason, the application of the algorithm in this study is to combine the Fuzzy Multiple Decision Making (FMAM) method and Simple Additive Weighting (Saw) with provisions and criteria that have been determined by Bank Indonesia. The FMADM method is used to find alternatives from a number of alternatives with predetermined criteria and the SAW method is used to rank the existing alternatives. The results of this study are used as a tool in making decisions to recommend scholarship recipients.\",\"PeriodicalId\":335204,\"journal\":{\"name\":\"Ceddi Journal of Education\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ceddi Journal of Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56134/cje.v1i1.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ceddi Journal of Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56134/cje.v1i1.10","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

印度尼西亚银行奖学金是印度尼西亚银行的一项社会项目,其形式是为各州立大学的本科生(S1)提供学费援助。然而,在确定奖学金获得者方面,往往是不正确的目标,这是因为奖学金奖励没有使用用于确定奖学金获得者的工具或方法,因为一个系统是用来确定奖学金获得者的。印度尼西亚银行奖学金的选拔过程要求准确性和较长的时间,因为每个学生的数据将根据预先确定的标准逐一进行比较,并且还容易出现意外的人为错误。同时,印度尼西亚银行还没有确定一种方法来帮助选择潜在的奖学金获得者,选择过程仍然是通过逐个比较潜在奖学金获得者的学生数据来手动进行的,因此,本研究中算法的应用是将模糊多元决策(FMAM)方法和简单加性加权(Saw)方法与印度尼西亚银行确定的规定和标准相结合。采用FMADM方法从具有预定条件的备选方案中寻找备选方案,采用SAW方法对现有备选方案进行排序。本研究的结果被用作决定推荐奖学金获得者的工具。
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 Decision Support System for Scholarship Recipients at Bank Indonesia
The Bank Indonesia Scholarship is a Bank Indonesia social program in the form of tuition assistance for undergraduate students (S1) at various State Universities (PTN). However, often in terms of determining scholarship recipients it is not right on target, this is caused because the scholarship award has not used the tools or methods used to determine scholarship recipients, for that a system is designed to determine scholarship recipients. The selection process for Bank Indonesia Scholarships requires accuracy and a long time because each student data will be compared one by one according to predetermined criteria and is also prone to accidental human errors. Meanwhile, Bank Indonesia has not determined a method to help select prospective scholarship recipients and the selection process is still carried out manually by comparing the student data of prospective scholarship recipients one by one, for this reason, the application of the algorithm in this study is to combine the Fuzzy Multiple Decision Making (FMAM) method and Simple Additive Weighting (Saw) with provisions and criteria that have been determined by Bank Indonesia. The FMADM method is used to find alternatives from a number of alternatives with predetermined criteria and the SAW method is used to rank the existing alternatives. The results of this study are used as a tool in making decisions to recommend scholarship recipients.
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