April Lia Hananto, Shofa Sofiah Hilabi, Detrie Noviani
{"title":"Design of Customer Satisfaction Application at BCA Kcp Rengasdengklok Using C.45 Algorithm Method","authors":"April Lia Hananto, Shofa Sofiah Hilabi, Detrie Noviani","doi":"10.36805/bit-cs.v3i1.2048","DOIUrl":null,"url":null,"abstract":"Bank BCA always improves service quality by the slogan \"Always By Your Side\". The assessment consists of 4 attributes (time, accuracy, focus, and satisfaction). Each attribute has a weighted value of 1 (very dissatisfied) to 5 (very satisfied). The assessment is still done manually (using paper), therefore the authors in this study used the C.45 algorithm with 3 tests carried out to produce a classification obtained that the accuracy value reached 88.75% with an AUC value of 0.744 and testing on the application that was made resulted in 0.722. It can be concluded that service assessment at BCA KCP Rengasdengklok belongs to a fairly good classification group because its AUC value is between 0.70-0.80.","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Buana Information Technology and Computer Sciences (BIT and CS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36805/bit-cs.v3i1.2048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Bank BCA always improves service quality by the slogan "Always By Your Side". The assessment consists of 4 attributes (time, accuracy, focus, and satisfaction). Each attribute has a weighted value of 1 (very dissatisfied) to 5 (very satisfied). The assessment is still done manually (using paper), therefore the authors in this study used the C.45 algorithm with 3 tests carried out to produce a classification obtained that the accuracy value reached 88.75% with an AUC value of 0.744 and testing on the application that was made resulted in 0.722. It can be concluded that service assessment at BCA KCP Rengasdengklok belongs to a fairly good classification group because its AUC value is between 0.70-0.80.