Grouping District / Cities in Papua Based Poverty Indicators

Abstract

Welfare of the people is a very important thing in a country. One measure of the welfare of society is seen from indicators of poverty. The government conducts a long-term agreement in terms of encouraging change through SDG's. One of the government's target is less poverty in all its forms by 2030. The area in Indonesia which has the highest percentage of poor people in the provinces of Papua. Hence, the groups based Indicators of Poverty in Papua province using C-Means Clustering and Fuzzy C-Means Clustering. The indicators used in this analysis is an indicator of Health, Education Indicators and Household Characteristics indicator. Based on the analysis results obtained Fuzzy C-Means formed 5 group is the best method to classify District / Cities in Papua Province by minimumicdrate value. Areas that need to be the focus of the government to reduce poverty in Papua is the Puncak District.