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dc.contributor.advisorWARDANI, DYAH TITIS KUSUMA
dc.contributor.authorNAUFAL, FAZA AINUN
dc.date.accessioned2019-10-03T02:56:14Z
dc.date.available2019-10-03T02:56:14Z
dc.date.issued2019-04-26
dc.identifier.urihttp://repository.umy.ac.id/handle/123456789/29324
dc.descriptionDevelopment is a process of change in a better direction to achieve a desired goal. One of the goals achieved is to alleviate poverty. Poverty is a social problem that is very much influenced by many factors and factors in poverty problems in a particular region that have the possibility of being different from the factors that influence poverty in other regions. This study aims to analyze the influence of poverty factors in the former Residency of Banyumas, while the factors to be tested include GRDP, minimum wages, and population to the level of poverty. The data used are secondary data in the form of panel data which consists of crossing the time period 2010-2017 and crossing the place of 4 Cities in the area of the Ex-Residency of Banyumas. The approach method used to estimate this regression model is the Fixed Effect Model method. Based on the analysis that has been done, the results of the study show that the GDP variable has a positive and significant effect on the poverty level, while the minimum wage and population variables have a negative and significant effect on the poverty level in the former Banyumas Residency in 2010-2017.en_US
dc.description.abstractDevelopment is a process of change in a better direction to achieve a desired goal. One of the goals achieved is to alleviate poverty. Poverty is a social problem that is very much influenced by many factors and factors in poverty problems in a particular region that have the possibility of being different from the factors that influence poverty in other regions. This study aims to analyze the influence of poverty factors in the former Residency of Banyumas, while the factors to be tested include GRDP, minimum wages, and population to the level of poverty. The data used are secondary data in the form of panel data which consists of crossing the time period 2010-2017 and crossing the place of 4 Cities in the area of the Ex-Residency of Banyumas. The approach method used to estimate this regression model is the Fixed Effect Model method. Based on the analysis that has been done, the results of the study show that the GDP variable has a positive and significant effect on the poverty level, while the minimum wage and population variables have a negative and significant effect on the poverty level in the former Banyumas Residency in 2010-2017.en_US
dc.publisherFAKULTAS EKONOMI DAN BISNIS UNIVERSITAS MUHAMMADIYAH YOGYAKARTAen_US
dc.subjectPoverty, GRDP, Minimum wage, Populationen_US
dc.titleANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEMISKINAN (STUDI KASUS DI KABUPATEN/KOTA EKS-KARESIDENAN BANYUMAS PERIODE 2010-2017)en_US
dc.typeThesis SKR FE 570en_US


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