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Evaluation of the categorization of a slum environmental condition using geospatial and statistical analysis: Case study of Pipa Reja Village in Palembang City

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dc.contributor.authorHamim S.A.en_US
dc.contributor.authorUsman F.en_US
dc.contributor.authorShalihat A.K.en_US
dc.contributor.authorid57207666760en_US
dc.contributor.authorid55812540000en_US
dc.contributor.authorid57211609533en_US
dc.date.accessioned2023-05-29T08:07:36Z
dc.date.available2023-05-29T08:07:36Z
dc.date.issued2020
dc.description.abstractInformal settlements or slums have become an integral condition in an urban area. Economic growth in the city attracted rural people to migrate to the city. There are more than 50% of the world population living in the urban area since 2007. Indonesia experienced the same trend, with 21.8% of the population are still living in the slum area. Actions have been made by the government to identify area, which is indicated as a slum area for further rejuvenating and improvements. This paper presents the spatial analysis on the infrastructure parameters and indicators which defined the slum category of Pipa Reja Village. The indicators and parameters which defined the slum category are set in the Minister of PUPR Regulation No. 2 of 2016. This study used secondary data from KOTAKU programme on baseline data of the slum parameters. The statistical analysis and geospatial analysis were conducted to evaluate the contribution of each indicator to the local slum value. The result was compared with the score value used in the Minister of PUPR Regulation No. 14 of 2018. It is found that condition of the building, condition of drainage system, waste management system, and fire protection conditions were driven the severity condition of the slum in Pipa Reja Village. There was a slightly different category of slum determined by using the percentage value approach and the scoring value approaches. Furthermore, the geospatial analysis using geographical information system can give better insight into distinguishing the critical indicators for further targeting action. � 2020 Alpha Publishers. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage5711
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85094138098
dc.identifier.spage5696
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85094138098&partnerID=40&md5=b52f8b0bfc0451658f1be72bb8da04c0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25254
dc.identifier.volume10
dc.publisherAlpha Publishersen_US
dc.sourceScopus
dc.sourcetitleJournal of Green Engineering
dc.titleEvaluation of the categorization of a slum environmental condition using geospatial and statistical analysis: Case study of Pipa Reja Village in Palembang Cityen_US
dc.typeArticleen_US
dspace.entity.typePublication
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