{"title":"METODE SVM SEBAGAI PENENTUAN KELULUSAN MAHASISWA PADA PEMBELAJARAN ELEKTRONIK","authors":"Rizqi Agung Permana","doi":"10.31294/JKI.V7I1.34","DOIUrl":null,"url":null,"abstract":"Electrovic learning system is a web -based communication platform that enables learners , without limitation of place and time , to access a variety of learning tools such as discussion forums , assessment , content repositories , and document sharing system. Electrovic Learning can be just as effective as face-to- face in a conventional classroom teaching and learning , if proper teaching techniques and well-organized. Based on the data processing has been done with membandingakan algorithm and Support Vector Machine Support Vector Machine by using the log data of students . Later in the test to get the accuracy and AUC values of each algorithm so that the highest test results obtained by using support vector machine an accuracy of 85.02%, and AUC value of 0.710. \n ","PeriodicalId":384112,"journal":{"name":"Jurnal Khatulistiwa Informatika","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Khatulistiwa Informatika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31294/JKI.V7I1.34","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
Electrovic learning system is a web -based communication platform that enables learners , without limitation of place and time , to access a variety of learning tools such as discussion forums , assessment , content repositories , and document sharing system. Electrovic Learning can be just as effective as face-to- face in a conventional classroom teaching and learning , if proper teaching techniques and well-organized. Based on the data processing has been done with membandingakan algorithm and Support Vector Machine Support Vector Machine by using the log data of students . Later in the test to get the accuracy and AUC values of each algorithm so that the highest test results obtained by using support vector machine an accuracy of 85.02%, and AUC value of 0.710.