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All Journal Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Hernina, Revi
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Earth & Planetary Sciences

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SURFACE URBAN COOL ISLAND ASSESSMENT IN VILLAGE-LEVEL TOURISM DESTINATIONS USING GIS AND PRINCIPAL COMPONENT ANALYSIS Hernina, Revi; Wicaksono, Arif
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
Publisher : UI Scholars Hub

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This study describes the process to generate classification of village-level tourism destinations known as kampung tematik in Bogor Municipality based on values from Surface Urban Cool Island (SUCI), Urban Index (UI) < -0.2, Normalized Difference Vegetation Index (NDVI) >0.3, and Normalized Difference Built-up Index (NDBI) < 0. SUCI values represent the cool temperature which usually associated with heavy greenery and dense vegetation, while UI < - 0.2, NDVI > 0.3, and NDBI < 0 are associated with dense and healthy vegetation. Herein, Band 10 from Landsat 8 was processed to derive land surface temperature (LST) and further, SUCI image was derived from LST image by employing SUCI algorithm. All three variables namely NDVI, NDBI, and UI were also processed from Landsat 8 dated to 24 May 2020. These four images of SUCI, NDVI, NDBI, and UI were superimposed with 39 kampung tematik locations which resulted in 14 locations having non-zero values. The values from four variables in 14 locations were inputted into Principal component Analysis (PCA) using R software version 4.1.3. PCA result shows there are four groups of locations based on variables representing cool island and dense vegetation namely, locations with area percentage of SUCI < 10% (Group 1), low values in three variables (Group 2), high values in two variables (Group 3), and high values in three variables (Group 4).
SURFACE URBAN COOL ISLAND ASSESSMENT IN VILLAGE-LEVEL TOURISM DESTINATIONS USING GIS AND PRINCIPAL COMPONENT ANALYSIS Hernina, Revi; Wicaksono, Arif
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 8, No. 1
Publisher : UI Scholars Hub

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This study describes the process to generate classification of village-level tourism destinations known as kampung tematik in Bogor Municipality based on values from Surface Urban Cool Island (SUCI), Normalized Difference Built-up Index (NDBI) ≤ -0.17, Normalized Difference Vegetation Index (NDVI) > 0.3, and Urban Index (UI) < -0.2. SUCI values represent the cool temperature, while NDBI ≤ -0.17, NDVI > 0.3, and UI < -0.2 are associated with dense and healthy vegetation. Herein, Band 10 from Landsat 8 was processed to generate land surface temperature (LST) and further, SUCI image was derived from LST image by employing SUCI algorithm. All three variables, namely NDVI, NDBI, and UI were also processed from Landsat 8 with date 24 May 2020. These four variables of SUCI, NDVI, NDBI, and UI image pixels were superimposed with 39 kampung tematik locations using Geographic Information System (GIS) which resulted in 14 locations containing the area percentage from four variables. The values from four variables in 14 locations were inputted into Principal component Analysis (PCA) using R software version 4.1.3. Based on PCA, it reveals that three tourism destinations are classified with area percentage of SUCI less than 50% while the other 11 destinations are classified with area percentage of SUCI more than 50%. In addition, characteristics of tourism destinations with SUCI area percentage less than 50% are identified to have low area percentage of NDBI ≤ -0.17, NDVI > 0.3, and UI < -0.2.
Modelling Land Use Land Cover Change in Banyumas Regency Using Remote Sensing Data for Tourism Policy Evaluation Hernina, Revi; Wicaksono, Arif; Wibowo, Adi; Damayanti, Astrid
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
Publisher : UI Scholars Hub

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Abstract

Tourism is essentially a geographical phenomenon, encompassing the movement and flow of people and spatial distribution patterns relating to land use consumption. The impacts of tourism on LUCC must track and monitor regrading effected to environment and human side. For decades, Banyumas Regency has been known for its famous tourist destinations such Baturaden District and numerous waterfalls. However, the development of tourism infrastructures within its vicinity has sparked complaints from communities, particularly damaged roads and decreasing tourist visits. From environmental perspective, excessive tourism development might cause decreasing natural carrying capacity. Therefore, to provide deeper analysis regarding the current tourism development, this article describes the Land Use/Land Cover Change (LULC) in Banyumas Regency in 2000, 2010, and 2020 based on satellite data analysis using Google Earth Engine (GEE). Sentinel satellite data in 2020 were processed to generate LULC, while Landsat TM 5 data were used to provide LULC in 2000 and 2010. LULC classification was performed using Random Forest with accuracy assessment (Kappa) reach 0.81 for 2000, 0.91 for 2010, and 0.96 for 2010. Furthermore, based on CA-Markov method, the predicted LULCC in 2030 will be 84.28% unchanged and 15.72% change. In addition, several tourism development policies need to be evaluated based on the predicted LULCC in Banyumas Regency in order to avoid disturbance to natural resources.
Co-Authors Adi Wibowo Arif Wicaksono Astrid Damayanti