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Image of ANALISIS AUTOKORELASI SPASIAL PENGANGGURAN DAN KEMISKINAN DI INDONESIA BAGIAN TIMUR.

Skripsi

ANALISIS AUTOKORELASI SPASIAL PENGANGGURAN DAN KEMISKINAN DI INDONESIA BAGIAN TIMUR.

Lizarifah, Lizarifah - Personal Name;

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Penilaian anda saat ini :  

This study aims to analyze the spatial interaction of unemployment and poverty in general and locally and identify patterns and structures of economic growth on the islands of Sulawesi and Papua for the 2016-2020 period. The research method used is Moran Scatterplot, Local Indicator of Spatial Autocorrelation (LISA) and Klassen Typology. Moran's Test showed on the poverty variable have a positive spatial autocorrelation and the unemployment variable has a negative spatial autocorrelation. The results of the LISA test mapped the poverty variable in 2016 into L-L criteria in Central Sulawesi Province and in 2020 in Central Sulawesi and South Sulawesi Provinces. Meanwhile the unemployment variable in 2016 maps Papua Province into L-L criteria, in 2020 Southeast Sulawesi Province is classified as H-H criteria and Papua Province is classified as L-H criteria. Klassen's analysis classifies two provinces in Quadrant I, five provinces in Quadrant III and one province in Quadrant IV. Keywords: Klassen Typology, Morran Scatterplot, Poverty Spatial Autocorrelation, Unemployment


Availability
Inventory Code Barcode Call Number Location Status
2307002535T87064T870642022Central Library (Referens)Available
Detail Information
Series Title
-
Call Number
T870642022
Publisher
Indralaya : Prodi Ekonomi Pembangunan, Fakultas Ekonomi., 2023
Collation
xvi, 76 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
330.907
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Ekonomi Pembangunan
Situasi dan Kondisi Ekonomi, Kemiskinan
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related

No other version available

File Attachment
  • ANALISIS AUTOKORELASI SPASIAL PENGANGGURAN DAN KEMISKINAN DI INDONESIA BAGIAN TIMUR.
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