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Spatial Distribution of Small and Big-Scale Modern Retail Through the Growth of Yogyakarta Urbanized Area

Indonesian Journal of Geography · Vol. 55 No. 2 (2023) · hlm. 259–265

DOI
10.22146/ijg.67237
ISSN
2354-9114, 0024-9521
Terbit
2023-08-18
Penerbit
Faculty of Geography, Universitas Gadjah Mada
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

The focus on the growth of modern retail has become increasingly important due to several generated externalities. Therefore, this research aimed to identify spatial distributional pattern of modern retail in order to implement precise policies. Data were obtained from The Department of Licensing Service of Yogyakarta City and supplemented with observation through Google Maps. The global pattern was analyzed using the Moran Index (Moran’s I), while the spatial pattern was evaluated using Local Indicators of Spatial Association (LISA). The analysis resulted in a significant cluster pattern for small and big-scale modern retail. The LISA analysis indicated the existence of agglomeration in the suburban area, which was the urban growth area with a high-high (HH) cluster of both small and big-scale modern retail in exact locations. In conclusion, agglomeration in the suburban area was of great concern for policymakers due to the possibility of conflicts.

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  • IPB University
  • Universitas Tompotika Luwuk
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Rekan penulisOrganisasiArtikel bersama
Irman FirmansyahIPB University5
Marimin MariminIPB University5
Wiwin AmbarwulanAfiliasi tidak diketahui5
Sudarsono SudarsonoAfiliasi tidak diketahui3
Paulus B.K. SantosoAfiliasi tidak diketahui3
Taryono TaryonoIPB University3
Elisa AnggraeniIPB University2
Hidayat Arismunandar KatiliUniversitas Tompotika Luwuk2
Syartinilia SyartiniliaIPB University2
Suria Darma TariganAfiliasi tidak diketahui2
Hartrisari HardjomidjojoIPB University2
Arief HartonoAfiliasi tidak diketahui2
Ernan RustiadiAfiliasi tidak diketahui2
Andrea Emma PravitasariIPB University2
Mohamad Syamsul MaarifAfiliasi tidak diketahui1
Hartrisari HarjomidjojoAfiliasi tidak diketahui1
Retno AstutiIPB University1
Yandra ArkemanIPB University1
Muhammad AsrolIPB University1
M. YaniIPB University1
Eizo TairaIPB University1
Yeni HerdiyeniIPB University1
Riyan Naufal HaysAfiliasi tidak diketahui1
Ridwan Adi SuryaAfiliasi tidak diketahui1
M. Yanuar J. PurwantoAfiliasi tidak diketahui1
Asep SapeiAfiliasi tidak diketahui1
Muhammad Amir SolihinAfiliasi tidak diketahui1
Santun R. P. SitorusAfiliasi tidak diketahui1
Atang SutandiAfiliasi tidak diketahui1
Gatot PrayogaAfiliasi tidak diketahui1
Bagus Amalrullah UtomoAfiliasi tidak diketahui1
Irmadi NahibAfiliasi tidak diketahui1
Wiwin AmbarwulamAfiliasi tidak diketahui1
Fadhlullah RamadhaniAfiliasi tidak diketahui1
Raden Bagus Tri Joko WibowoAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jurnal.ugm.ac.id/ijg/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">Spatial Distribution of Small and Big-Scale Modern Retail Through the Growth of Yogyakarta Urbanized Area</dc:title>
	<dc:creator>Litasari, Ulfah Choerunnisa Nurul</dc:creator>
	<dc:creator>Widiatmaka, Widiatmaka</dc:creator>
	<dc:creator>Munibah, Khursatul</dc:creator>
	<dc:creator>Machfud, Machfud</dc:creator>
	<dc:creator>Effendi, Hefni</dc:creator>
	<dc:subject xml:lang="en-US">regional planning and development; mapping; urban growth; spatial statistics</dc:subject>
	<dc:subject xml:lang="en-US">LISA; Moran’s I; retail distribution; spatial pattern; urban growth</dc:subject>
	<dc:subject xml:lang="en-US">spatial statistics</dc:subject>
	<dc:description xml:lang="en-US">The focus on the growth of modern retail has become increasingly important due to several generated externalities. Therefore, this research aimed to identify spatial distributional pattern of modern retail in order to implement precise policies. Data were obtained from The Department of Licensing Service of Yogyakarta City and supplemented with observation through Google Maps. The global pattern was analyzed using the Moran Index (Moran’s I), while the spatial pattern was evaluated using Local Indicators of Spatial Association (LISA). The analysis resulted in a significant cluster pattern for small and big-scale modern retail. The LISA analysis indicated the existence of agglomeration in the suburban area, which was the urban growth area with a high-high (HH) cluster of both small and big-scale modern retail in exact locations. In conclusion, agglomeration in the suburban area was of great concern for policymakers due to the possibility of conflicts. </dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Geography, Universitas Gadjah Mada</dc:publisher>
	<dc:contributor xml:lang="en-US">IPB University</dc:contributor>
	<dc:contributor xml:lang="en-US">Minister of Research, Technology, and Higher Education of the Republic of Indonesia</dc:contributor>
	<dc:date>2023-08-18</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:type xml:lang="en-US">spatial statistic LISA and Index Moran</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/ijg/article/view/67237</dc:identifier>
	<dc:identifier>10.22146/ijg.67237</dc:identifier>
	<dc:source xml:lang="en-US">Indonesian Journal of Geography; Vol 55, No 2 (2023): Indonesian Journal of Geography; 259-265</dc:source>
	<dc:source>2354-9114</dc:source>
	<dc:source>0024-9521</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/view/67237/pdf</dc:relation>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/67237/17234</dc:relation>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/67237/17237</dc:relation>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/67237/17238</dc:relation>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Ulfah Choerunnisa Nurul Litasari, Widiatmaka Widiatmaka, Khursatul Munibah, Machfud Machfud, Hefni Effendi</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>