Fuzzy Geographically Weighted Clustering Method for Grouping Provinces in Indonesia Based on Welfare Indicators Aspects of Information and Communication Technology (ICT)

Abstract

The welfare of the people is a task and goal that must be realized by the Republic of Indonesia. To find out the condition of the welfare of the Indonesian people, it can be seen from 8 areas of Indonesia's welfare indicators. Indicators The welfare of the Indonesian people is undergoing a digital transformation of Information and Communication Technology (ICT) in 2021. However, there was a gap in ICT development due to geographical conditions and the distribution and dynamics of each region's society. Cluster analysis is a solution for target setting for better future decisions. Fuzzy Geographically Weighted Clustering (FGWC) is one of the cluster methods with fuzzy logic that considers geographical and population elements in grouping targets. The results of the research resulted in 3 optimum clusters with different characteristics of each cluster based on indicators of ICT aspects of people's welfare. Cluster 1 has a low status of ICT indicators of people's welfare and is located in the middle or at the end of the island, provinces from cluster 2 have a medium status of ICT indicators of people's welfare with a medium area, while cluster 3 has a high status of ICT indicators of people's welfare with a large area or dense populations.