Regional Clustering for Developing Electricity Systems in Archipelagic Area: A Case Study of Maluku and Papua Islands

Maluku and Papua islands have complex geographical conditions, thousands of small islands, uneven population densities, and lower income distribution compared to other part of Indonesia. Therefore, the development of electricity system cannot be performed by assuming that every area has the same growth characteristics. In this study, clustering is performed to group the areas with the same characteristics. Hence, the development of electricity system can be based on this clustering. This study used k-means clustering algorithm to perform the clustering method. In this study there are six clusters created based on the data such as, population, average growth of population, Gross Regional Domestic Product (GRDP), and average growth of GRDP. These six clusters can be used as a reference for the development of electricity system in Maluku and Papua Islands. © 2021 IEEE.