Skripsi

ANALISIS AUTOKORELASI SPASIAL KETIMPANGAN PENDAPATAN DI WILAYAH INDONESIA BAGIAN TIMUR

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Penilaian

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The eastern region of Indonesia has always been a problem of inequality in Indonesia. The location is close and causes the spatial connection of an area which has an influence on other areas within a certain distance. Inter-regional linkages are an important part of regional development. One region and another always interact with each other in economic, social and development relations. Therefore, the aim of this research is to identify how to analyze spatial autocorrelation and patterns of distribution of income inequality in Eastern Indonesia. The analysis technique used in this research is the Local Indicator of Spatial Autocorrelation (LISA) for the period 2017 and 2022. The results of the research show that there is a correlation between spatial autocorrelation with a clustered pattern and the autocorrelation is positive, because the grouping of income inequality occurs where there is Districts/Cities have observation values that are almost close to neighboring regions or Districts/Cities, and the results of the LISA cluster map on income inequality indicate that of the four quadrants produced, more are in the Low-Low (L-L) quadrant III category, but overall, insignificant results were identified in many areas. Keywords: Spatial Autocorrelation, Income Inequality. Local Indicator of Spatial Autocorrelation (LISA)

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407004339	T151004	T1510042024	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1510042024

Publisher

Indralaya : Prodi Ekonomi Pembangunan, Fakultas Ekonomi Universitas Sriwijaya., 2024

Collation

xiii, 87 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

338.959 807

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Ekonomi Pembangunan
Autokorelasi Spasial

Specific Detail Info

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Statement of Responsibility

KA

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