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EVALUASI KESESUIAN PEMANFAATAN AREA RUANG PUBLIK DENGAN RTRW DI KOTA TEGAL

Geo-Image Journal · Vol. 5 No. 1 (2016)

DOI
10.15294/geoimage.v5i1.11322
ISSN
2549-0362, 2252-6285
Terbit
2016-07-01
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

The purpose of the study are to:. Evaluate the implementation of the use of public space areas of the Spatial Tegal years 2010 to 2015 by using SIG.2. Knowing the distribution and extent of public space area Tegal. The research method is descriptive. The data analysis technique used is Descriptive Analysis, Spatial Analysis, Evaluation Quantity Green Open Space. The results showed the results of which have been digitized RTH in check through the field and digitization generate 138,910.23 m2 or 13.98 hectares and the area is 3,968 hectares Tegal this result Tegal green space in the city has an area of 0.4% with RTRW with the Spatial existing and Field actual area 116 783 m2 or 11.67 hectares with this result does not match the existing Spatial.

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9 penulis · 17 tautan kepenulisan bersama · 5 lintas organisasi

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  • Sekolah Tinggi Agama Islam Al-Hikmah
  • Universitas Islam Negeri Profesor Kiai Haji Saifuddin Zuhri Purwokerto
  • Erciyes University
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Rekan penulisOrganisasiArtikel bersama
SriyantoAfiliasi tidak diketahui1
Agustina Aldira SaktyAfiliasi tidak diketahui1
Edi KurniawanAfiliasi tidak diketahui1
Ahmad Rezy MeidinaSekolah Tinggi Agama Islam Al-Hikmah1
Achmad SiddiqUniversitas Islam Negeri Profesor Kiai Haji Saifuddin Zuhri Purwokerto1
Siti Nur ArafahErciyes University1
Ismatul MaulaSekolah Tinggi Agama Islam Al-Hikmah1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/geoimage/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (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">EVALUASI KESESUIAN PEMANFAATAN AREA RUANG PUBLIK DENGAN RTRW DI KOTA TEGAL</dc:title>
	<dc:creator>Sandi, Zuhdan Ari</dc:creator>
	<dc:creator>-, Hariyanto</dc:creator>
	<dc:description xml:lang="en-US">The purpose of the study are to: . Evaluate the implementation of the use of public space areas of the Spatial Tegal years 2010 to 2015 by using SIG.2. Knowing the distribution and extent of public space area Tegal. The research method is descriptive. The data analysis technique used is Descriptive Analysis, Spatial Analysis, Evaluation Quantity Green Open Space. The results showed the results of which have been digitized RTH in check through the field and digitization generate 138,910.23 m2 or 13.98 hectares and the area is 3,968 hectares Tegal this result Tegal green space in the city has an area of 0.4% with RTRW with the Spatial existing and Field actual area 116 783 m2 or 11.67 hectares with this result does not match the existing Spatial.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2016-07-01</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://journal.unnes.ac.id/sju/geoimage/article/view/11322</dc:identifier>
	<dc:identifier>10.15294/geoimage.v5i1.11322</dc:identifier>
	<dc:source xml:lang="en-US">Geo-Image Journal; Vol 5 No 1 (2016)</dc:source>
	<dc:source>2549-0362</dc:source>
	<dc:source>2252-6285</dc:source>
	<dc:source>10.15294/geoimage.v5i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/geoimage/article/view/11322/6759</dc:relation>
</oai_dc:dc>