Departemen Ilmu Ekonomi, Fakultas Ekonomika dan Bisnis, Universitas Kristen Satya Wacana
Abstract
Poverty is an important aspect to achieve the success of national development. One indicatorto measure the level of community welfare is the decline in the number of poor people. Thepurpose of this study is to explain the effect of the variables HDI, GRDP, and the number ofunemployed on the number of poor people in Indonesia. This study uses secondary data obtainedfrom the Central Statistics Agency with the research sample consisting of 34 provinces inIndonesia with the 2015-2019 research period. The analytical tool used in this research isPartial Least Square Regression (PLS). The results of the study show that HDI has a significantnegative effect on the number of poor people, GRDP and unemployment have a positive andsignificant effect on the number of poor people. Simultaneously HDI, GRDP, and unemploymenthave a positive and significant effect. The variable in the model is able to explain the variablenumber of poor people by 96.6 percent
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