<![CDATA[This study aims to analyze two main aspects: (1) the impact of economic growth, unemployment, health, and internet access on poverty in Indonesia, and (2) the influence of poverty, labor force, and education on economic growth.The research employs a descriptive and inductive approach with multiple linear regression analysis using the Two-Stage Least Squares (2SLS) method on time series data from 1992 - 2022. Secondary data were obtained from the Central Bureau of Statistics (BPS), with dependent variables consisting of poverty and economic growth, while independent variables include unemployment, health, internet access, labor force, and education. The results of this study reveal several important findings: (1) the unemployment rate has a positive and significant effect on poverty rates in Indonesia. (2) the health variable has a negative but insignificant relationship with poverty (3) Internet access has been shown to have a negative and significant impact on poverty (4) Economic growth shows a significant negative impact on poverty (5) Labor availability has a positive and significant impact on economic growth (6) Education levels have a negative and significant impact on economic growth (7) Poverty shows a negative and significant impact on economic growth.]]>
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