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Pemetaan Kawasan Permukiman Kumuh di Kecamatan Kendari Barat Kota Kendari

JAGAT (Jurnal Geografi Aplikasi dan Teknologi) · Vol. 1 No. 1 (2017) · pp. 33–40

DOI
10.33772/jagat.v1i1.6337
ISSN
2684-6705
Published
2017-04-27
Publisher
Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Research in Kendari Barat District of Kendari City is done to identify neighborhood slums, to map the regional distribution of the slums and to determine the total area of the slums. This study was conducted in May-June, 2016. Identification of a slum area done by considering several criteria such as the density of buildings, the feasibility of building, environmental accessibility, environmental drainage, water services, waste water management and waste management. Results from this study showed that the level of untidiness in the district of Kendari Barat consists of three classes of seedy mild, moderate seedy and rundown weight. For a rundown light scattered at several village ie village Kemaraya, Watu-watu, Tipulu, Punggaloba and Dapu-dapura, which also consists of several neighborhoods, with an area of slums by 25.343 ha. While mild slums spread almost in each village that is located in the Village Kemaraya, Lahundape, Watu-watu, Benu-benua, Sodohoa, Sanua and Dapu-dapura with an area 30.675 ha, slums in the region are also scattered in several neighborhoods. And for heavy slums contained in four villages, namely the village Tipulu, Punggaloba, Sodohoa and Sanua with an area of 11.53 ha.Keywords: Slum Area, Slum criteria, Settlement ClassDOI: 10.5281/zenodo.2658161

Collaboration network of the authors

40 authors · 129 co-authorship links · showing the 40 most connected

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  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Weka WidayatiAffiliation unknown5
Jufri KarimUniversitas Halu Oleo4
Saban RahimAffiliation unknown4
Sarini sariniAffiliation unknown4
La Ode ResteleAffiliation unknown4
Anita IndriasaryAffiliation unknown4
Wahab WahabUniversitas Halu Oleo2
Jamal HarimuddinAffiliation unknown2
Ida UsmanAffiliation unknown2
Jamal HarimudinAffiliation unknown2
Ardi ArdiAffiliation unknown2
Nurgiantoro NurgiantoroAffiliation unknown2
La Ode AlwiUniversitas Halu Oleo2
Jahidin JahidinAffiliation unknown2
Lukman YunusAffiliation unknown2
Muliddin MuliddinAffiliation unknown2
Noor Husna KhairisaAffiliation unknown2
Marwan Zam MiliAffiliation unknown1
Fais SharfanAffiliation unknown1
La ToberAffiliation unknown1
Mega Azniar ZuhersaAffiliation unknown1
YUnarni YunarniAffiliation unknown1
Analuddin AnaluddinUniversitas Halu Oleo1
Hasbullah SyafAffiliation unknown1
Ansyahrul MukmininAffiliation unknown1
Hazriani HazrianiAffiliation unknown1
Sani FitrianiAffiliation unknown1
Fitra SalehAffiliation unknown1
Adin Fitra IrawanAffiliation unknown1
La Ode HadiniAffiliation unknown1
Golok JayaAffiliation unknown1
Maryatun MucolifahAffiliation unknown1
L.O. NgkoimaniAffiliation unknown1
Kamrullah KamrullahAffiliation unknown1
Irfan YunandarAffiliation unknown1
Sitti AsyfaAffiliation unknown1
Ratna RatnaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/jagat/oai, first harvested 30 Okt 2026, last seen 30 Okt 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Pemetaan Kawasan Permukiman Kumuh di Kecamatan  Kendari Barat Kota Kendari</dc:title>
	<dc:creator>Aprilia, Nuning</dc:creator>
	<dc:creator>Ido, Irfan</dc:creator>
	<dc:creator>Sawaludin, Sawaludin</dc:creator>
	<dc:description xml:lang="en-US">Research in Kendari Barat District of Kendari City is done to identify neighborhood slums, to map the regional distribution of the slums and to determine the total area of the slums. This study was conducted in May-June, 2016. Identification of a slum area done by considering several criteria such as the density of buildings, the feasibility of building, environmental accessibility, environmental drainage, water services, waste water management and waste management. Results from this study showed that the level of untidiness in the district of Kendari Barat consists of three classes of seedy mild, moderate seedy and rundown weight. For a rundown light scattered at several village ie village Kemaraya, Watu-watu, Tipulu, Punggaloba and Dapu-dapura, which also consists of several neighborhoods, with an area of slums by 25.343 ha. While mild slums spread almost in each village that is located in the Village Kemaraya, Lahundape, Watu-watu, Benu-benua, Sodohoa, Sanua and Dapu-dapura with an area 30.675 ha, slums in the region are also scattered in several neighborhoods. And for heavy slums contained in four villages, namely the village Tipulu, Punggaloba, Sodohoa and Sanua with an area of 11.53 ha.Keywords : Slum Area, Slum criteria, Settlement ClassDOI :  10.5281/zenodo.2658161</dc:description>
	<dc:publisher xml:lang="en-US">Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2017-04-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/jagat/article/view/6337</dc:identifier>
	<dc:identifier>10.33772/jagat.v1i1.6337</dc:identifier>
	<dc:source xml:lang="en-US">JAGAT (Jurnal Geografi Aplikasi dan Teknologi); Vol 1, No 1 (2017): JAGAT (Jurnal Geografi Aplikasi dan Teknologi); 33-40</dc:source>
	<dc:source>2684-6705</dc:source>
	<dc:source>10.33772/jagat.v1i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/jagat/article/view/6337/4629</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 JAGAT (Jurnal Geografi Aplikasi dan Teknologi)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>