Metode Topsis dengan Pembobotan Entropy dalam Merankingkan Kesejahteraan Masyarakat antar Provinsi di Indonesia

Abstract

This study aims to provide a deeper understanding of the application of the TOPSIS method with entropy weighting in ranking the well-being of society across provinces in Indonesia. Entropy weighting is used to determine the relative weight of each criterion based on the variation of available data, while the TOPSIS method is applied to further process the data and produce the well-being ranking. The results of this study show a more objective ranking, with the most influential criteria on societal well-being being the percentage of the poor population and the open unemployment rate. Bali province is identified as the province with the highest level of well-being.