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Pemetaan Deforestasi dan Perubahan Tutupan Lahan di Wilayah Pertambangan Nikel Kecamatan Pomalaa Memanfaatkan Teknologi Penginderaan Jauh Andi Baso Sofyan A. P.; Feri Fadlin; Dawamul Arifin; Radik Khairil Insanu; Ahmad Aris Mundir Sutaji
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.35

Pomalaa District, Kolaka Regency, Southeast Sulawesi Province, is one of the regions in Indonesia which has quite large mining potential, especially for nickel commodities. The stages of nickel mining activities consist of land clearing activities which can cause deforestation or reduction of forest area. The aim of this research is to map deforestation and land cover changes that occur in the nickel mining area of Pomalaa District. It is expected that the results of this research can be used as consideration in formulating policies for efforts to rehabilitate land damaged by mining activities in Pomalaa District, Kolaka Regency, Southeast Sulawesi Province. The method used in this research is multi-time remote sensing image data analysis. The data used are Landsat 8 images in 2014, 2018 and 2023 to analyze changes in forest areas and changes in land cover at the research location during that time period. The results of the research show that there has been a decrease in the area of forest and vegetated areas, that is in 2014 the area reached 17,207.9 hectares to 16,178.4 hectares in 2018 and 16,110.1 hectares in 2023. Meanwhile, the mine excavation area has increased from 1,792.3 hectares in 2014 to 2,005.4 hectares in 2023. Likewise, the area of built-up land and open land has increased from 3,509.3 hectares in 2014 to 4,370.7 hectares in 2023.

Perhitungan Tonase Stockpile Batubara Metode Cut and Fill Menggunakan Aplikasi Minescape A. Arifin Itsnani SM; Riansyah Riansyah; Ahmad Aris Mundir Sutaji
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.36

Coal is a mineral resource with high economic value. Demand for coal commodities is increasing to meet energy needs. Therefore, calculating coal reserves is an important thing to do in coal exploration activities. Coal that has been mined will be stacked in a storage area (stockpile) or temporary storage (temporary stock) before being transported to consumers. Periodic volume monitoring is one of the most important things in stockpile management control which aims to determine the volume of coal in the stockpile. The cut and fill method is a coal volume calculation method that is often used in mining activities by calculating the area of two cross-sections and the distance between the top and bottom cross-sections. The data used in this research are coordinate data (x, y, and z) stock taking measurements, base/bedding data (base), weighing data, density data (density), and ortho photos of Port SBJ obtained indirectly from the location research at PT Insani Baraperkasa, Tani Bhakti Village, Loa Janan District, Kutai Kartanegara Regency. The results of this research are the total BCM (Bank Cubic Meter) volume of the coal stockpile, which is then converted into tonnage value (kg/m³), namely by multiplying the density (kg/m³) of coal to obtain the tonnage value in Raw Coal Room 1, namely 33,012.52 (tons) and the Crushed Coal tonnage is 8,080.07 (tons). The tonnage value adds up to 41,092.59 (tons) in the SBJ Port stockpile tonnage for the period February 2022.

Perhitungan Tonase Stockpile Batubara Metode Cut and Fill Menggunakan Aplikasi Minescape A. Arifin Itsnani SM; Riansyah Riansyah; Ahmad Aris Mundir Sutaji
Journal of Geomatics Engineering, Technology, and Science Vol. 2 No. 2 (2024): March 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v2i2.36

Coal is a mineral resource with high economic value. Demand for coal commodities is increasing to meet energy needs. Therefore, calculating coal reserves is an important thing to do in coal exploration activities. Coal that has been mined will be stacked in a storage area (stockpile) or temporary storage (temporary stock) before being transported to consumers. Periodic volume monitoring is one of the most important things in stockpile management control which aims to determine the volume of coal in the stockpile. The cut and fill method is a coal volume calculation method that is often used in mining activities by calculating the area of two cross-sections and the distance between the top and bottom cross-sections. The data used in this research are coordinate data (x, y, and z) stock taking measurements, base/bedding data (base), weighing data, density data (density), and ortho photos of Port SBJ obtained indirectly from the location research at PT Insani Baraperkasa, Tani Bhakti Village, Loa Janan District, Kutai Kartanegara Regency. The results of this research are the total BCM (Bank Cubic Meter) volume of the coal stockpile, which is then converted into tonnage value (kg/m³), namely by multiplying the density (kg/m³) of coal to obtain the tonnage value in Raw Coal Room 1, namely 33,012.52 (tons) and the Crushed Coal tonnage is 8,080.07 (tons). The tonnage value adds up to 41,092.59 (tons) in the SBJ Port stockpile tonnage for the period February 2022.

Pemetaan Kerentanan Degradasi Lingkungan Berbasis Environmental Criticality Index (ECI) di Kota Banjarmasin Forjan Forjan; Andi Baso Sofyan A. P.; Ahmad Aris Mundir Sutaji; Siti Hutami Adianengsih Gaffar
Journal of Geomatics Engineering, Technology, and Science Vol. 4 No. 2 (2026): March 2026
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v4i2.70

This study was motivated by the rapid urbanization and land-use changes occurring in Banjarmasin City, which may contribute to environmental degradation. These changes are characterized by a reduction in vegetation cover and water bodies, as well as an increase in land surface temperature and the expansion of built-up areas. This study aims to map the level of environmental degradation vulnerability in Banjarmasin City in 2024 based on the Environmental Criticality Index (ECI) using remote sensing technology and Landsat 8 OLI/TIRS satellite imagery. The analysis was conducted using four parameters: land surface temperature, vegetation density, building density, and the water body index. The results indicate that the land surface temperature in Banjarmasin City in 2024 was dominated by the low-temperature class (15.1°C–22.1°C), covering 8,653 hectares or 87% of the total area, while the moderate to high-temperature class (22.2°C–33.0°C) covered 1,298 hectares or 13% of the total area. The vegetation density analysis revealed that most of the study area exhibited a moderate level of vegetation density, covering 5,530 hectares (56%). Meanwhile, building density was predominantly classified as low, encompassing 6,809 hectares (68%). Based on the water body index analysis, non-water areas dominated the city, covering 9,314 hectares (93.6%), whereas water bodies occupied only 637 hectares (6.4%). The classification of environmental degradation vulnerability based on the Environmental Criticality Index (ECI) showed that areas with low vulnerability covered 2,370 hectares (23.8%), areas with moderate vulnerability covered 4,539 hectares (45.0%), and areas with high vulnerability covered 3,042 hectares (30.6%) of the total area of Banjarmasin City.

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