Muhamad Maksum Hidayat, W. Nugroho, Arief Setyanto
{"title":"用KNN方法分割咖啡市场","authors":"Muhamad Maksum Hidayat, W. Nugroho, Arief Setyanto","doi":"10.46764/teknimedia.v1i1.12","DOIUrl":null,"url":null,"abstract":"Coffee is one of the most widely consumed plantation commodities in Indonesia and has great opportunities to be developed, especially in the field of market development. The thing that becomes an obstacle for coffee entrepreneurs is the right segmentation of the coffee market with the vast Indonesian state. This study aims to segment the coffee market in Indonesia by utilizing coffee image data available on Instagram social media with image classification using the K-Nearest Neighbor algorithm and histogram feature extraction, so as to determine the exact coffee market segmentation in Indonesia.","PeriodicalId":299601,"journal":{"name":"TEKNIMEDIA: Teknologi Informasi dan Multimedia","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SEGMENTASI PASAR KOPI MENGGUNAKAN METODE KNN DI INDONESIA\",\"authors\":\"Muhamad Maksum Hidayat, W. Nugroho, Arief Setyanto\",\"doi\":\"10.46764/teknimedia.v1i1.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Coffee is one of the most widely consumed plantation commodities in Indonesia and has great opportunities to be developed, especially in the field of market development. The thing that becomes an obstacle for coffee entrepreneurs is the right segmentation of the coffee market with the vast Indonesian state. This study aims to segment the coffee market in Indonesia by utilizing coffee image data available on Instagram social media with image classification using the K-Nearest Neighbor algorithm and histogram feature extraction, so as to determine the exact coffee market segmentation in Indonesia.\",\"PeriodicalId\":299601,\"journal\":{\"name\":\"TEKNIMEDIA: Teknologi Informasi dan Multimedia\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TEKNIMEDIA: Teknologi Informasi dan Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46764/teknimedia.v1i1.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TEKNIMEDIA: Teknologi Informasi dan Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46764/teknimedia.v1i1.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SEGMENTASI PASAR KOPI MENGGUNAKAN METODE KNN DI INDONESIA
Coffee is one of the most widely consumed plantation commodities in Indonesia and has great opportunities to be developed, especially in the field of market development. The thing that becomes an obstacle for coffee entrepreneurs is the right segmentation of the coffee market with the vast Indonesian state. This study aims to segment the coffee market in Indonesia by utilizing coffee image data available on Instagram social media with image classification using the K-Nearest Neighbor algorithm and histogram feature extraction, so as to determine the exact coffee market segmentation in Indonesia.
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