Ghazali, Mochamad Firman and Rahmalia, Dian and Ciptawaty, Ukhti and Dewi, Fitria Melinia and Mirnawati, Mirnawati and Syuhada, Muhammad Farel Explanatory on Rural Development Stages Using Geographically Weighted Regression based on The Integration of Socio-Economic, Demographical and Landcover Data. In: The 2nd Universitas Lampung International Conference on Science, Technology and Environment (ULICoSTE) 2021, 27-28 Agustus 2021, Online, Universitas Lampung. (In Press)

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Abstract

In the context of rural development, each rural area has unique characteristics in determining its development level. The monitoring on global land use–land cover (LULC),LULC change, the normalized difference vegetation index (NDVI), estimated data of crop yield and income, and demographical factors include total population and percentage growth rate during 2015 to 2020 have corresponded with the rural development stages (RDS). These parameters are used in the geographically weighted regression (GWR) has resulted that local regression gave the advantages on the perspective of how the rural areas can be managed and to what extent the environment variable can use to assist the RDS. This paper aimed to show the relationship between the RDS and through the analysis of socio-demographical, derived economic data and the trend of LULC change. The final result has shown that the rural areas located in the forested areas, have a remote location and rough topography tend to have the lowest local regression values compare by the range of R2 values at about 0 to 0.15. The GWR has shown that all explanatory variable has a weak positive correlation to the RDS, even though it shows the pattern of clustered in the entire of Way Sekampung

Item Type:	Conference or Workshop Item (Paper)
Subjects:	G Geography. Anthropology. Recreation > G Geography (General)
Divisions:	Fakultas Teknik (FT) > Prodi Teknik Geodesi
Depositing User:	Mochamad Firman Ghazali
Date Deposited:	06 Nov 2021 02:11
Last Modified:	06 Nov 2021 02:11
URI:	http://repository.lppm.unila.ac.id/id/eprint/35093

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