Supplier data is seen from historical orders to suppliers about company addresses, prices, variants of drugs owned and drug quality, and supported by the Weighted Product method to support the decision of which supplier to choose to be a priority. The result of this research is a program to rank and determine supplier selection at GrandMed Hospital. The decision support system for determining supplier selection using the Weigthed Product method at GranMed Hospital has been able to be built using UML and made with the Visual Basic 2008 programming language
{"title":"Decision Support System For Selection Of Drug Supplier With Weighted Product Method","authors":"Sastra Wandi Nduru, Harmoko Lubis","doi":"10.35335/jict.v13i1.33","DOIUrl":"https://doi.org/10.35335/jict.v13i1.33","url":null,"abstract":"Supplier data is seen from historical orders to suppliers about company addresses, prices, variants of drugs owned and drug quality, and supported by the Weighted Product method to support the decision of which supplier to choose to be a priority. The result of this research is a program to rank and determine supplier selection at GrandMed Hospital. The decision support system for determining supplier selection using the Weigthed Product method at GranMed Hospital has been able to be built using UML and made with the Visual Basic 2008 programming language","PeriodicalId":378001,"journal":{"name":"Jurnal ICT : Information and Communication Technologies","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124108048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research was conducted to predict students dropping out of private universities, the student department needs to pay attention to students who have the potential to drop out so that they can be detected faster to make an approach with students so they don't drop out of college, with the help of data mining so that data -The data collected is useful information and with the C4.5 method so that predictions become accurate to detect students who have the potential to drop out of college. As for the results of this study, it is known that the most influential variable for students dropping out of college is marked by UKT Not Current Then Often Absent Then Gender Male whose graduation year is not recently graduated (not fresh graduate)
{"title":"Application Of Data Mining For Prediction Of Students Out Of College With The Method Algorithm C4.5","authors":"Suandi Daulay, W. Apriani, Yuda Perwira","doi":"10.35335/jict.v13i1.28","DOIUrl":"https://doi.org/10.35335/jict.v13i1.28","url":null,"abstract":"This research was conducted to predict students dropping out of private universities, the student department needs to pay attention to students who have the potential to drop out so that they can be detected faster to make an approach with students so they don't drop out of college, with the help of data mining so that data -The data collected is useful information and with the C4.5 method so that predictions become accurate to detect students who have the potential to drop out of college. As for the results of this study, it is known that the most influential variable for students dropping out of college is marked by UKT Not Current Then Often Absent Then Gender Male whose graduation year is not recently graduated (not fresh graduate)","PeriodicalId":378001,"journal":{"name":"Jurnal ICT : Information and Communication Technologies","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128870802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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