{"title":"柑橘的味道预测系统使用的是k-NEAREST方法","authors":"A. Abdullah, Kurnia Sandi","doi":"10.46880/mtk.v7i2.457","DOIUrl":null,"url":null,"abstract":"Every buyer always wants to get a good product, including in terms of buyers of citrus fruits, but many buyers do not know how to choose sweet oranges if they have not been tested first, so buyers usually experience disappointment when buying citrus fruits. The purpose of this study is to assist buyers in choosing citrus fruits, the k-NN method in identifying the taste of citrus fruits. The results of testing with the k-fold cross-validation method obtained a value of 96.55%, while testing with the holdout method obtained a value of 91.67%. The benefit of this research is that by using the application that was built, buyers can predict the taste of citrus fruits without having to taste them first.","PeriodicalId":384219,"journal":{"name":"METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SISTEM PREDIKSI RASA BUAH JERUK MENGGUNAKAN METODE k-NEAREST NEIGHBOR\",\"authors\":\"A. Abdullah, Kurnia Sandi\",\"doi\":\"10.46880/mtk.v7i2.457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Every buyer always wants to get a good product, including in terms of buyers of citrus fruits, but many buyers do not know how to choose sweet oranges if they have not been tested first, so buyers usually experience disappointment when buying citrus fruits. The purpose of this study is to assist buyers in choosing citrus fruits, the k-NN method in identifying the taste of citrus fruits. The results of testing with the k-fold cross-validation method obtained a value of 96.55%, while testing with the holdout method obtained a value of 91.67%. The benefit of this research is that by using the application that was built, buyers can predict the taste of citrus fruits without having to taste them first.\",\"PeriodicalId\":384219,\"journal\":{\"name\":\"METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46880/mtk.v7i2.457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46880/mtk.v7i2.457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SISTEM PREDIKSI RASA BUAH JERUK MENGGUNAKAN METODE k-NEAREST NEIGHBOR
Every buyer always wants to get a good product, including in terms of buyers of citrus fruits, but many buyers do not know how to choose sweet oranges if they have not been tested first, so buyers usually experience disappointment when buying citrus fruits. The purpose of this study is to assist buyers in choosing citrus fruits, the k-NN method in identifying the taste of citrus fruits. The results of testing with the k-fold cross-validation method obtained a value of 96.55%, while testing with the holdout method obtained a value of 91.67%. The benefit of this research is that by using the application that was built, buyers can predict the taste of citrus fruits without having to taste them first.
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