Riza Akhsani Setyo Prayoga, Fauzan Nusyura, Yohanes Setiawan
{"title":"IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMILIH CAFÉ DENGAN METODE MABAC","authors":"Riza Akhsani Setyo Prayoga, Fauzan Nusyura, Yohanes Setiawan","doi":"10.26798/jiko.v7i2.869","DOIUrl":null,"url":null,"abstract":"The cafe is a great place to gather or work. Many customers who spend time to the cafe alone or with friends or family. The cafe is growing rapidly. Many cafes are competing to get consumers and of course they are trying to improve the facilities and food and drinks that can be offered. The existence of a decision support system can help in choosing the best alternative cafe according to the criteria. The method of Decision Support System used is MABAC. This method is quite consistent in giving recommendations. Steps in this method there are several of them make creating an initial decision matrix that contains the value of the criteria of each alternative. Then proceed to the normalization of the elements of the initial Matrix. Next perform the calculation of the elements of the weighted Matrix (V). After that, perform the determination of the matrix of the approximate border area (G), then proceed to the calculation of alternative distance matrix elements from the estimated border area Q. Then end with the ranking of the calculation results of the MABAC method. The results of the recommendations on the MABAC method puts caf´e 1 as the best alternative to other caf´e with a final value of 0.439626.","PeriodicalId":243297,"journal":{"name":"JIKO (Jurnal Informatika dan Komputer)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JIKO (Jurnal Informatika dan Komputer)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26798/jiko.v7i2.869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The cafe is a great place to gather or work. Many customers who spend time to the cafe alone or with friends or family. The cafe is growing rapidly. Many cafes are competing to get consumers and of course they are trying to improve the facilities and food and drinks that can be offered. The existence of a decision support system can help in choosing the best alternative cafe according to the criteria. The method of Decision Support System used is MABAC. This method is quite consistent in giving recommendations. Steps in this method there are several of them make creating an initial decision matrix that contains the value of the criteria of each alternative. Then proceed to the normalization of the elements of the initial Matrix. Next perform the calculation of the elements of the weighted Matrix (V). After that, perform the determination of the matrix of the approximate border area (G), then proceed to the calculation of alternative distance matrix elements from the estimated border area Q. Then end with the ranking of the calculation results of the MABAC method. The results of the recommendations on the MABAC method puts caf´e 1 as the best alternative to other caf´e with a final value of 0.439626.