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Spatial Interaction Based on Sub-District Development Index in Pandeglang Regency

Economics Development Analysis Journal · Vol. 10 No. 1 (2021) · pp. 1–11

DOI
10.15294/edaj.v10i1.40708
ISSN
2252-6560
Published
2021-02-09
Publisher
Economics Development Department, Universitas Negeri Semarang, Indonesia
Language
eng

Abstract

Population movement is a form of spatial interaction between regions. This phenomenon arises asa logical consequence of the heterogeneity of regional development that occurs. PandeglangRegency as an underdeveloped area should not be left behind because of the many leaks of spatialinteractions that are more directed outside this district. Investigating the daily mobilization of thepopulation internally is important in determining which sub-districts play a role as a destination foreconomic activity. The basic data used include the survey origin destination of Banten Province in2019 and data on Potential Villages (Podes) 2019 in the Pandeglang Regency. The method used isthe Scalogram method to determine the Sub-District Development Index (SDI) and the gravitymethod to analyze spatial interactions. The Hierarchical classification was carried out on the SDIvariable, the number of daily movements (density), and the distance between districts. This is doneto see the intensity of the daily movement of the population according to density, distance, andSDI hierarchy class. The spatial interaction magnitude is estimated based on the populationestimation parameters and SDI through the natural logarithmic transformation (ln) of the gravitymethod formula. The results show that the highest average population movement occurs in thehigh-density hierarchy leading to the sub-districts of the SDI 1 hierarchy. The sub-districts ofCadasari, Munjul, Patia, Saketi, and Sukaresmi as sub-districts from which spatial interactionoriginate will produce positive intensity values when compared to other sub-districts. CadasariSub-District will provide a positive spatial interaction value when it becomes the goal of the dailymovement of the population.

Collaboration network of the authors

21 authors · 42 co-authorship links

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  • UIN Sunan Ampel Surabaya
  • IPB University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Andrea Emma PravitasariIPB University3
Akhmad FauziAffiliation unknown2
Wiwik SetiyaniUIN Sunan Ampel Surabaya1
Ulva Ria IrvanAffiliation unknown1
Mutia FaridaAffiliation unknown1
Bambang JuandaAffiliation unknown1
Dessy RachmawatieAffiliation unknown1
Ardiyanto Maksimilianus GaiAffiliation unknown1
Baba BarusAffiliation unknown1
Dwi Putro Tejo BaskoroAffiliation unknown1
Diyah Novita KurniantiAffiliation unknown1
Widiatmaka WidiatmakaAffiliation unknown1
Rista Ardy PriatamaAffiliation unknown1
Khursatul MunibahAffiliation unknown1
Alfin MurtadhoAffiliation unknown1
Izuru SaizenAffiliation unknown1
SRI WAHYUNIAffiliation unknown1
Hermanto SiregarAffiliation 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://journal.unnes.ac.id/sju/index.php/edaj/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Spatial Interaction Based on Sub-District Development Index in Pandeglang Regency</dc:title>
	<dc:creator>Wulandono, Okta</dc:creator>
	<dc:creator>Rustiadi, Ernan</dc:creator>
	<dc:creator>Ardiansyah, Muhammad</dc:creator>
	<dc:description xml:lang="en-US">Population movement is a form of spatial interaction between regions. This phenomenon arises asa logical consequence of the heterogeneity of regional development that occurs. PandeglangRegency as an underdeveloped area should not be left behind because of the many leaks of spatialinteractions that are more directed outside this district. Investigating the daily mobilization of thepopulation internally is important in determining which sub-districts play a role as a destination foreconomic activity. The basic data used include the survey origin destination of Banten Province in2019 and data on Potential Villages (Podes) 2019 in the Pandeglang Regency. The method used isthe Scalogram method to determine the Sub-District Development Index (SDI) and the gravitymethod to analyze spatial interactions. The Hierarchical classification was carried out on the SDIvariable, the number of daily movements (density), and the distance between districts. This is doneto see the intensity of the daily movement of the population according to density, distance, andSDI hierarchy class. The spatial interaction magnitude is estimated based on the populationestimation parameters and SDI through the natural logarithmic transformation (ln) of the gravitymethod formula. The results show that the highest average population movement occurs in thehigh-density hierarchy leading to the sub-districts of the SDI 1 hierarchy. The sub-districts ofCadasari, Munjul, Patia, Saketi, and Sukaresmi as sub-districts from which spatial interactionoriginate will produce positive intensity values when compared to other sub-districts. CadasariSub-District will provide a positive spatial interaction value when it becomes the goal of the dailymovement of the population.</dc:description>
	<dc:publisher xml:lang="en-US">Economics Development Department, Universitas Negeri Semarang, Indonesia</dc:publisher>
	<dc:date>2021-02-09</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<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/edaj/article/view/40708</dc:identifier>
	<dc:identifier>10.15294/edaj.v10i1.40708</dc:identifier>
	<dc:source xml:lang="en-US">Economics Development Analysis Journal; Vol 10 No 1 (2021): Economics Development Analysis Journal; 1-11</dc:source>
	<dc:source>2252-6560</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/edaj/article/view/40708/18170</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Economics Development Analysis Journal</dc:rights>
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