Pengelompokkan Ekspor Kopi Menurut Negara Tujuan Menggunakan Metode K-Means Clustering dengan Silhouette Coefficient

Abstract

Abstract. Indonesia is one of the coffee exporting countries that has reached five continents, namely Asia, Australia, America, and Europe. The purpose of this study is to determine which countries are included in the high coffee export cluster, and the low coffee export cluster. The method used in this research is the K-Means Clustering method with Silhouette Coefficient. The advantage of this method is that it can perform analysis of larger samples more efficiently. The data used in this study is secondary data obtained from the Central Statistics Agency (BPS). The data contains data on the amount of coffee exports (net) and the value of FOB (Free On Board) from 2000 to 2020 in Indonesia. The software used in this research is RStudio. The results of this study conclude that, first, the K-Means Clustering Method with the Silhouette Coefficient can determine the grouping of coffee exports. The data is processed using the silhouette method which in its processing determines the value of k whose results are known to be 2 clusters, so the data to be taken is a high export level cluster, and a low export level cluster. Second, the data centroids for the high export level cluster are Japan, the United States and Germany. Third, the data centroids for the low export level cluster are Singapore, Malaysia, India, Egypt, Morocco, Algeria, England, Italy, Romania, Georgia, Belgium, the Netherlands, Denmark, and France. Fourth, the Silhoutte coefficient value that can be known is 0.73, where 0.7 < SI < SI