This study aims to analyze the factors that influence poverty in East Java Province. This data analysis utilizes the ECM (Error Correction Model) method to see the effect of long-term and short-term prospects with the Eviews 10 application. This observation uses secondary data in the form of time series data published by BPS in 2000 – 2021. The results reveal that the education level variable has an influence positive and significant for poverty both in the long-term and short-term prospects, the open unemployment rate variable has a positive and significant effect on poverty in the long and short term, and the minimum wage variable has a negative and significant effect on the long-term prospects on the other hand in the long-term prospects short has no significant effect on poverty.
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