APPLICATION OF SPATIAL ANALYSIS WITH GETIS-ORD GI* METHOD AND LOCAL INDICATOR OF SPATIAL AUTOCORRELATION (LISA) ON POPULATION DENSITY DATA OF LAMPUNG PROVINCE

RANI , TIAS SARTIKA (2025) APPLICATION OF SPATIAL ANALYSIS WITH GETIS-ORD GI* METHOD AND LOCAL INDICATOR OF SPATIAL AUTOCORRELATION (LISA) ON POPULATION DENSITY DATA OF LAMPUNG PROVINCE. FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, UNIVERSITAS LAMPUNG.

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Abstrak (Berisi Bastraknya saja, Judul dan Nama Tidak Boleh di Masukan)

Population Density is an important indicator in regional planning because it reflects the pressure of space, infrastructure, and public services. This case study uses Population Density data of Lampung Province in 2023 to 2024 using the Getis-Ord Gi* method and Local Indicator of Spatial Autocorrelation (LISA) with Queen Contiguity type spatial weighting matrix approach and correlation matrix. The results of this study indicate that the distribution of population density is unevem and dominated by low density areas. Although there was an increase in average density from 2023 to 2024, the spatial pattern still shows a spread distribution and does not form significant clusters. Based on the Getis-Ord Gi* analysis, no significant hotspot were found, but Metro City and South Lampung District were consistently identified as coldspot with a significant level of 95% and 90%. In contrast, the LISA analysis identified local spatial patterns that were consistent with hotspot in West Lampung, West Tulang Bawang, and Right Way District. Also, coldspots in Bandar Lampung City, Metro City, South Lampung District, and East Lampung show local spatial autocorrelation in several district, such as in the variabel unemployment, food balance, traffic congestion. Overall, the results of this study indicate that population density in Lampung Province does not form a strong cluster pattern locally in supporting public policy. Keywords: Population Density, Getis-Ord Gi*, LISA, Spatial Autocorrelation, Queen Contiguity, Lampung Province.

Jenis Karya Akhir:	Skripsi
Subyek:	500 ilmu pengetahuan alam dan matematika
Program Studi:	FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM (FMIPA) > Prodi S1 Matematika
Pengguna Deposit:	2301791870 . Digilib
Date Deposited:	13 Jun 2025 02:10
Terakhir diubah:	13 Jun 2025 02:10
URI:	http://digilib.unila.ac.id/id/eprint/88503

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