The Clustering of Paddy Fields Using Machine Learning Algorithms in the Province of South Sumatera

Abstract

In this paper, we were clustering paddy fields in the province of South Sumatera using machine learning algorithms. We chose machine learning algorithms because this algorithm is very relevant to the problem to be studied. The contribution of this study is in the form of result from the clustering of paddy fields which used as input or consideration for the government in determining policies related to the farming area. Policies that can use the results of the clustering of paddy fields include determining the most appropriate area for expanding paddy fields in the province of South Sumatera. The results of clustering using machine learning techniques show the expansion of paddy fields could be done in 13 districts or as much as 76.4% of the total districts in the province of South Sumatera.