{"title":"使用模糊 C-Means 算法对东爪哇省的种植作物生产进行聚类","authors":"Shofinatul Wahdah Nur Aulia, P. K. Intan","doi":"10.24014/jsms.v9i2.22735","DOIUrl":null,"url":null,"abstract":"Production of plantation crops in East Java Province is a public livelihood because the main staple needs of food come from agriculture or plantations. The results of the production of plantation crops have some differences in each district or city. Because there are differences in the production of plantation crops, it is necessary to cluster the plantation data. The purpose of this research is to find out which areas are suitable and have the potential to produce plantation crops. The algorithm that will be used in this study is Fuzzy C-Means, where the degree of membership determines the position of the data in the cluster. The application of the Fuzzy C-Means algorithm to find out the optimal value will use the silhouette coefficient test with the results obtained at 0.6413.","PeriodicalId":403832,"journal":{"name":"Jurnal Sains Matematika dan Statistika","volume":"46 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Klasterisasi Produksi Tanaman Perkebunan di Provinsi Jawa Timur Menggunakan Algoritma Fuzzy C-Means\",\"authors\":\"Shofinatul Wahdah Nur Aulia, P. K. Intan\",\"doi\":\"10.24014/jsms.v9i2.22735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Production of plantation crops in East Java Province is a public livelihood because the main staple needs of food come from agriculture or plantations. The results of the production of plantation crops have some differences in each district or city. Because there are differences in the production of plantation crops, it is necessary to cluster the plantation data. The purpose of this research is to find out which areas are suitable and have the potential to produce plantation crops. The algorithm that will be used in this study is Fuzzy C-Means, where the degree of membership determines the position of the data in the cluster. The application of the Fuzzy C-Means algorithm to find out the optimal value will use the silhouette coefficient test with the results obtained at 0.6413.\",\"PeriodicalId\":403832,\"journal\":{\"name\":\"Jurnal Sains Matematika dan Statistika\",\"volume\":\"46 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Sains Matematika dan Statistika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24014/jsms.v9i2.22735\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Sains Matematika dan Statistika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24014/jsms.v9i2.22735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Klasterisasi Produksi Tanaman Perkebunan di Provinsi Jawa Timur Menggunakan Algoritma Fuzzy C-Means
Production of plantation crops in East Java Province is a public livelihood because the main staple needs of food come from agriculture or plantations. The results of the production of plantation crops have some differences in each district or city. Because there are differences in the production of plantation crops, it is necessary to cluster the plantation data. The purpose of this research is to find out which areas are suitable and have the potential to produce plantation crops. The algorithm that will be used in this study is Fuzzy C-Means, where the degree of membership determines the position of the data in the cluster. The application of the Fuzzy C-Means algorithm to find out the optimal value will use the silhouette coefficient test with the results obtained at 0.6413.
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