Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Journal of Geomatics Engineering, Technology, and Science
Andi Baso Sofyan A. P.
Program Studi Teknologi Geomatika, Jurusan Rekayasa dan Komputer, Politani Samarinda, Kota Samarinda
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
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 : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

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

Abstract

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.
Pemanfaatan Citra Satelit dan Foto Udara untuk Pemetaan Pola Ruang di Desa Bunga Jadi Kecamatan Muara Kaman Muhammad Alfianur; Andi Baso Sofyan A. P.; Dawamul Arifin; Shabri Indra Suryalfihra; Siti Hutami Adianengsih Gaffar
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 1 (2024): September 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i1.45

Abstract

The spatial pattern mapping in village areas plays a crucial role in sustainable village planning and development. The objective of this study is to produce a spatial pattern map of Bunga Jadi Village, located in Muara Kaman Sub-district, Kutai Kartanegara Regency, and to identify the distribution of spatial patterns within the village. The results of the spatial pattern mapping in Bunga Jadi Village indicate that the protected area covers 1,106.72 hectares, or approximately 21.04% of the total area, while the cultivation area covers 4,152.62 hectares, or around 78.96% of the total area. The functional classification of areas in Bunga Jadi Village includes forest areas, peatland forests, green open spaces (RTH), business/trade and service areas, mining areas, and the most prominent potential area in the village, which is the plantation area, with a total area of 5,259.34 hectares.
Pemetaan Perubahan Tutupan Lahan Dengan Metode Supervised Classification Menggunakan Citra Landsat 8-9 di Kecamatan Sepaku Tahun 2014 dan 2024 Musdalifah Musdalifah; Andi Baso Sofyan A. P.; Dyah Widyasasi; Romansah Wumu; Siti Hutami Adianengsih Gaffar
Journal of Geomatics Engineering, Technology, and Science Vol. 3 No. 1 (2024): September 2024
Publisher : Geomatics Technology Study Program, Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/gets.v3i1.46

Abstract

This research is motivated by the relocation of the capital city from DKI Jakarta Province to East Kalimantan Province, specifically in the Sepaku Sub-district, Penajam Paser Utara Regency. The relocation of the capital city may lead to changes in land cover due to land conversion and development activities. The purpose of this study is to analyze changes in land cover in the Sepaku Sub-district, Penajam Paser Utara Regency, based on mapping using the supervised classification method with Landsat 8-9 imagery from 2014 and 2024. The results of land cover identification in the Sepaku Sub-district classify the area into vegetated areas (agriculture), vegetated areas (non-agriculture), open land, settlement and related land, and water bodies. In 2014, land cover in Sepaku Sub-district was dominated by non-agricultural vegetated areas, accounting for 60.04% of the total area, which slightly increased to 60.21% in 2024. Furthermore, the results show a slight increase in non-agricultural vegetated areas, from 75,804.1 hectares in 2014 to 76,013 hectares in 2024. Conversely, a decrease was observed in agricultural vegetated areas and open land types. The area of agricultural vegetated land decreased from 39,663 hectares in 2014 to 38,271 hectares in 2024, while open land decreased from 7,111 hectares in 2014 to 6,141.2 hectares in 2024. Meanwhile, settlement and related land cover experienced a significant increase, growing from 2,454 hectares in 2014 to 4,520.2 hectares in 2024.
Co-Authors Ahmad Aris Mundir Sutaji Dawamul Arifin Dawamul Arifin Dyah Widyasasi Feri Fadlin Muhammad Alfianur Musdalifah Musdalifah Radik Khairil Insanu Romansah Wumu Shabri Indra Suryalfihra Siti Hutami Adianengsih Gaffar