Aplikasi Metode K-Means untuk Mengelompokkan Jenis Sayur Guna Mengukur Potensi Produksi Jenis Sayur Di Kabupaten Banyumas

Dwi, Putri Amellia (2023) Aplikasi Metode K-Means untuk Mengelompokkan Jenis Sayur Guna Mengukur Potensi Produksi Jenis Sayur Di Kabupaten Banyumas. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

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Abstract

The most basic human need as an effort to sustain life is food, therefore the need for food demand must be fulfilled. One type of food crop in the agricultural sector is vegetables. In order to meet the increasing demand for vegetable production, the role of the Department of Agriculture is needed to deal with problems in agriculture. In addition, according to the results of interviews conducted with Mrs. Iin Dwi Sulastyatik, M.P., as the Sub-Coordinator of Horticultural Crops, the Banyumas Agriculture Office has not carried out calculations using the right method for grouping vegetable types in each District. So that it is hoped that it will facilitate the Banyumas Regency Agriculture Office in classifying areas that have the highest potential for producing vegetables according to their type. Therefore, the K-Means Clustering algorithm is used as a method in this study. The aim is to find out the highest production of vegetable types in each sub-district in Banyumas Regency and also to know the comparison of the calculation results of the K-Means Clustering method manually using Microsoft Excel and automatically using the RapidMiner application. The results of the study found that there was the highest grouping of vegetable types in 27 sub-districts in Banyumas Regency. The results of a manual comparison of the K-Means Clustering method with Microsoft Excel and the RapidMiner application are as many as 25 Districts in Banyumas Regency produce the same results, while 2 other Districts produce different results, namely East Puwokerto District and Tambak District. Keywords: Food, Agricultural Sector, Vegetables, Department of Agriculture, K-Means Clustering

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