Program kredit ultra mikro dan kemiskinan di Jawa Tengah pada masa pandemi

Abstract

This study focuses on the role of financing the ultra microprogram (UMi) to support government programs in poverty alleviation. There are two analyzes used: first descriptive analysis, which compares the number of micro-enterprises with the number of poor people in Central Java. Second, statistical analysis of Pearson correlation measures the correlation between the number of micro-entrepreneurs, the amount of ultra-micro credit financing disbursement, the number of poor people, and indicators related to poverty. The results of the descriptive analysis show that before the covid-19 pandemic, the average percentage of micro-enterprises and the number of poor people was 4.09 percent. In comparison, during the covid-19 pandemic, the average was 5.40 percent. Pearson correlation statistical analysis shows that the number of customers and the distribution of ultra-micro credit strongly correlate with the number of poor people. The number of poor people has a strong correlation with life expectancy and an average length of schooling. It has a reasonably strong correlation with other indicators related to poverty both before the 2019 COVID-19 pandemic and during the 2020 COVID-19 pandemic.

Story Map Visualization of the Population Affected by COVID-19 in Jepara Regency

“…Then, the COVID-19 pandemic has led to unemployment and increased poverty in every country in the world (Arianto, 2020). During the pandemic, Jepara Regency had the highest average proportion of poor microentrepreneurs (12.53%) (Karnoto, 2021). Aside from the shift in the population, COVID-19 also changed Jepara Regency in terms of the rising unemployment rate brought on by the mass layoffs of numerous jobs.…”