{"title":"Sistem Penunjang Keputusan Penerimaan Siswa Baru Berprestasi Di SMP IT Surakarta Menggunakan Metode Nearest Neighbor Dan Simple Additive Weighting","authors":"Andi Ardiansyah, M. Hasbi, Teguh Susyanto","doi":"10.30646/tikomsin.v10i2.658","DOIUrl":null,"url":null,"abstract":"SMP IT Nur Hidayah Surakarta, was established in 2004/2005 academic year. SMP IT Nur Hidayah has been graduated 3 generation of graduation, on the academic year of 2006/2007, 2007/2008 and 2008/2009. In the new student admission program there is an acceptance limit for students who are eligible for scholarships. The criteria used in the selection process include: average grades of report cards, written tests, parents' income and achievements. In decision new students, the school wants quality selection results by predicting new prospective students and then decide new students. The purpose of this study was to design a decision support system for new students using the Nearest Neighbor (NN) and Simple Additive Weighting (SAW) methods. This method was chosen because it is able to carry out a prediction process and a ranking process to determine the best alternative. The technique used in this research is observation, interview and literature study. In the design of this system is made with Context Diagram, HIPO, DAD, relations between tables and database design. The application is made using the PHP programming language and the database uses My SQL. The final results are in the form of student data reports, prediction reports, selection reports and reports on the best selection results. System testing is done by testing the functionality which shows the accepted results and the validity test which shows the valid results. The results of system testing with the MAPE test showed an accuracy of 88.7%.","PeriodicalId":189908,"journal":{"name":"Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30646/tikomsin.v10i2.658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
SMP IT Nur Hidayah Surakarta,成立于2004/2005学年。SMP IT Nur Hidayah已于2006/2007、2007/2008和2008/2009学年毕业3代。在新生入学计划中,有资格获得奖学金的学生有一个接受限制。选拔过程中使用的标准包括:成绩单的平均成绩、笔试成绩、父母的收入和成就。在决定新生时,学校希望通过预测新的潜在学生来获得优质的选拔结果,然后决定新生。本研究的目的是利用最近邻(NN)和简单加性加权(SAW)方法设计一个面向新生的决策支持系统。之所以选择这种方法,是因为它能够进行预测过程和排序过程来确定最佳替代方案。本研究采用观察法、访谈法和文献研究法。在本系统的设计中进行了上下文图、HIPO、DAD、表间关系和数据库的设计。应用程序使用PHP编程语言编写,数据库使用My SQL。最终结果以学生数据报告、预测报告、选拔报告和最佳选拔结果报告的形式呈现。系统测试是通过测试显示可接受结果的功能和显示有效结果的有效性测试来完成的。系统测试结果显示,MAPE测试的准确率为88.7%。
Sistem Penunjang Keputusan Penerimaan Siswa Baru Berprestasi Di SMP IT Surakarta Menggunakan Metode Nearest Neighbor Dan Simple Additive Weighting
SMP IT Nur Hidayah Surakarta, was established in 2004/2005 academic year. SMP IT Nur Hidayah has been graduated 3 generation of graduation, on the academic year of 2006/2007, 2007/2008 and 2008/2009. In the new student admission program there is an acceptance limit for students who are eligible for scholarships. The criteria used in the selection process include: average grades of report cards, written tests, parents' income and achievements. In decision new students, the school wants quality selection results by predicting new prospective students and then decide new students. The purpose of this study was to design a decision support system for new students using the Nearest Neighbor (NN) and Simple Additive Weighting (SAW) methods. This method was chosen because it is able to carry out a prediction process and a ranking process to determine the best alternative. The technique used in this research is observation, interview and literature study. In the design of this system is made with Context Diagram, HIPO, DAD, relations between tables and database design. The application is made using the PHP programming language and the database uses My SQL. The final results are in the form of student data reports, prediction reports, selection reports and reports on the best selection results. System testing is done by testing the functionality which shows the accepted results and the validity test which shows the valid results. The results of system testing with the MAPE test showed an accuracy of 88.7%.