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Aryaguna, Prama Ardha

Universitas Esa Unggul

Author-ID : 1305167

Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Social Sciences Transportation Other

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STUDY OF POTENTIAL LOCATIONS OF GREEN OPEN SPACE BASED ON PROCUREMENT CONVENIENCE IN WEST JAKARTA Prama Ardha Aryaguna; Horas Maulite Andrey Gromiko; Kartika Pratiwi
JURNAL GEOGRAFI Vol 14, No 1 (2022): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v14i1.27520

The Procurement of Public Green Open Space (RTH) in DKI Jakarta Province is carried out by the DKI Jakarta Forestry Service based on the land status of the BPN. The procurement of green open space is passive based on requests from the community. The DKI Jakarta Forestry Service data shows West Jakarta's public green open space has only fulfilled 8.8%. This study aims to assist stakeholders in the procurement of green open space in terms of ease of procurement. The ease aspect is compiled from land-use parameters, BPN land status, spatial pattern zoning, SIPPT, RTH Assets, and raw rice fields. The analysis results show that many areas included in the green zoning in West Jakarta have turned the function of land into built-up land, making it difficult for the local government to acquire land. This research found alternative lands with existing non-built land use conditions and clear land status and potential spatial pattern zoning targeted as green open space land acquisition targets. The analysis results show that from 4071 plots of land, there are 784 plots of land that are very potential with 179 ha. For potential land, there are 3234 plots of land with an area of 301 Ha and 53 plots of land classified as standard with an area of 2.4 Ha. Land with great potential can be used as a procurement priority for the relevant local government in the procurement of green open space in terms of the ease of procurement aspect.Keywords: Green Open Space, GIS, Green Open Space Potential

Modeling of Land Cover Changes in Banjarbaru City South Kalimantan Province Aswin Nur Saputra; Muhammad Wahyu Saputra; Hendy Fatchurohman; Prama Ardha Aryaguna
JURNAL GEOGRAFI Vol 16, No 1 (2024): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v16i1.48121

Urban areas often experience land cover changes. Banjarbaru is one of several cities in Indonesia that has experienced land changes. The relocation of the administrative center of Banjarmasin City to Banjarbaru City led to the development of settlements. One spatial analysis carried out to examine the phenomenon of land change is remote sensing techniques. The method that can be used is the Land Change Modeler from MOLUSCE in QGIS. This model uses the CAM (Cellular Automata Markov) method to identify land cover change and predict land cover distribution. CAM can understand and predict land change patterns by considering land use, vegetation, and cell spatial interactions. This modeling is based on land cover data for 2015 and 2020 and several supporting parameters such as DEM data and distance to roads. Based on the modeling results from 2015 and 2020, Banjarbaru City experienced a change in built-up land, with most of it occurring in the center of Banjarbaru City. Based on the Markov Chain method by looking at land changes in the previous year, the development of built-up land increased by about 8% of the Banjarbaru City area of 32917.41 hectares. Based on the prediction results, the development of built-up land is centered in the middle of Banjarbaru City, such as North and South Banjarbaru Districts, due to the development of residential development.Keywords: Land Cover, Land Change Modeller, Cellular Automata, Markov Chain

Modeling of Land Cover Changes in Banjarbaru City South Kalimantan Province Saputra, Aswin Nur; Saputra, Muhammad Wahyu; Fatchurohman, Hendy; Aryaguna, Prama Ardha
JURNAL GEOGRAFI Vol. 16 No. 1 (2024): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v16i1.48121

Urban areas often experience land cover changes. Banjarbaru is one of several cities in Indonesia that has experienced land changes. The relocation of the administrative center of Banjarmasin City to Banjarbaru City led to the development of settlements. One spatial analysis carried out to examine the phenomenon of land change is remote sensing techniques. The method that can be used is the Land Change Modeler from MOLUSCE in QGIS. This model uses the CAM (Cellular Automata Markov) method to identify land cover change and predict land cover distribution. CAM can understand and predict land change patterns by considering land use, vegetation, and cell spatial interactions. This modeling is based on land cover data for 2015 and 2020 and several supporting parameters such as DEM data and distance to roads. Based on the modeling results from 2015 and 2020, Banjarbaru City experienced a change in built-up land, with most of it occurring in the center of Banjarbaru City. Based on the Markov Chain method by looking at land changes in the previous year, the development of built-up land increased by about 8% of the Banjarbaru City area of 32917.41 hectares. Based on the prediction results, the development of built-up land is centered in the middle of Banjarbaru City, such as North and South Banjarbaru Districts, due to the development of residential development.Keywords: Land Cover, Land Change Modeller, Cellular Automata, Markov Chain

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