The Poverty Index Mapping in the Barlingmascakeb Area in 2019

Poverty is one of the serious problems in the national development process in Indonesia. Development basically aims to lead to a better situation and create a just and prosperous society. In the concept of Population-Centered Development, populations are not only treated as “objects” but also “subje...

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Autores principales:	Amaniah Fitroh, Setiati Fani, Rostika Mya Dwi, Putri Ratih Fitria
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/a5aef17ddbf14761979226d6fbc6f178
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spelling	oai:doaj.org-article:a5aef17ddbf14761979226d6fbc6f1782021-12-02T17:11:57ZThe Poverty Index Mapping in the Barlingmascakeb Area in 20192267-124210.1051/e3sconf/202132506011https://doaj.org/article/a5aef17ddbf14761979226d6fbc6f1782021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/101/e3sconf_icst2021_06011.pdfhttps://doaj.org/toc/2267-1242Poverty is one of the serious problems in the national development process in Indonesia. Development basically aims to lead to a better situation and create a just and prosperous society. In the concept of Population-Centered Development, populations are not only treated as “objects” but also “subjects” of development. However, the incessant development carried out in various regions has not fully brought the welfare of the population. One of them is Central Java province which is a poverty pocket in Indonesia with a poverty percentage of 10.80 in 2019. Especially in the Barlingmascakeb area, namely Banjarnegara, Purbalingga, Banyumas, Cilacap, Kebumen, in the same year the percentage of poverty was relatively higher, respectively 14.76 percent, 15.03 percent, 12.53 percent, 10, 73 percent, and 16.82 percent. This study aims to examine the poverty index spatially in the Barlingmascakeb area in 2019 and find out the dominant indicators that determine the poverty index as one of the evaluation materials for the development process in the region. The data used to measure the poverty index is to use indicators on several dimensions of the Population-Centered Development Index (PCDI). The participation dimension is represented by the EPR (Employment to Population Ratio) indicator and the level of labor force participation rate; the dimension of partiality represented by the percentage of RREB (Regional Revenue and Expenditure Budget) for poverty reduction and other indicators related to poverty, namely income per capita. The spatial distribution of the poverty index is known through Geographic Information System (GIS) software.Amaniah FitrohSetiati FaniRostika Mya DwiPutri Ratih FitriaEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 325, p 06011 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Amaniah Fitroh Setiati Fani Rostika Mya Dwi Putri Ratih Fitria The Poverty Index Mapping in the Barlingmascakeb Area in 2019
description	Poverty is one of the serious problems in the national development process in Indonesia. Development basically aims to lead to a better situation and create a just and prosperous society. In the concept of Population-Centered Development, populations are not only treated as “objects” but also “subjects” of development. However, the incessant development carried out in various regions has not fully brought the welfare of the population. One of them is Central Java province which is a poverty pocket in Indonesia with a poverty percentage of 10.80 in 2019. Especially in the Barlingmascakeb area, namely Banjarnegara, Purbalingga, Banyumas, Cilacap, Kebumen, in the same year the percentage of poverty was relatively higher, respectively 14.76 percent, 15.03 percent, 12.53 percent, 10, 73 percent, and 16.82 percent. This study aims to examine the poverty index spatially in the Barlingmascakeb area in 2019 and find out the dominant indicators that determine the poverty index as one of the evaluation materials for the development process in the region. The data used to measure the poverty index is to use indicators on several dimensions of the Population-Centered Development Index (PCDI). The participation dimension is represented by the EPR (Employment to Population Ratio) indicator and the level of labor force participation rate; the dimension of partiality represented by the percentage of RREB (Regional Revenue and Expenditure Budget) for poverty reduction and other indicators related to poverty, namely income per capita. The spatial distribution of the poverty index is known through Geographic Information System (GIS) software.
format	article
author	Amaniah Fitroh Setiati Fani Rostika Mya Dwi Putri Ratih Fitria
author_facet	Amaniah Fitroh Setiati Fani Rostika Mya Dwi Putri Ratih Fitria
author_sort	Amaniah Fitroh
title	The Poverty Index Mapping in the Barlingmascakeb Area in 2019
title_short	The Poverty Index Mapping in the Barlingmascakeb Area in 2019
title_full	The Poverty Index Mapping in the Barlingmascakeb Area in 2019
title_fullStr	The Poverty Index Mapping in the Barlingmascakeb Area in 2019
title_full_unstemmed	The Poverty Index Mapping in the Barlingmascakeb Area in 2019
title_sort	poverty index mapping in the barlingmascakeb area in 2019
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/a5aef17ddbf14761979226d6fbc6f178
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The Poverty Index Mapping in the Barlingmascakeb Area in 2019

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