Provincial Clustering in Indonesia Based on Plantation Production Using Fuzzy C-Means

Nurissaidah Ulinnuha

Abstract

The plantation sector is one sector that plays an important role in the economy in Indonesia, which is to increase the country’s foreign exchange. This study aims to cluster plantation products in Indonesia by province in 2017 using fuzzy c-means and silhouette index method. In this cluster, the data will be grouped into 3 clusters. The result of three clusters were obtained by 1 province in the first cluster with high plantation products, 27 province in the second cluster with low plantation products and 6 province in the third cluster with medium plantation products. In the silhouette index test, the silhouette index value of all clusters is 0,84321191 which means that the result of the grouping are appropriate.

Keywords

cluster analysis, fuzzy c-means, plantation products, silhouette index

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