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All Journal Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Forest and Society
Mustari, Andi Subhan
Departemen Teknik Sipil, Fakultas Teknik, Universitas Hasanuddin
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Engineering Environmental Science Public Health Social Sciences

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Pemanfaatan Penginderaan Jauh Dalam Penilaian Keberhasilan Reklamasi di Lahan Pasca Tambang PT. Vale Indonesia Munajat Nursaputra; Siti Halimah Larekeng; Nasri Nasri; Andi Siady Hamzah; Andi Subhan Mustari; Abdur Rahman Arif; Aris Prio Ambodo; Yohan Lawang; Andri Ardiansyah
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 11 No. 1 (2021): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.1.39-48

Abstract

Mining activities with an open system trigger land degradation which results in a decrease in land quality. The decline in land quality is related to the level of fertility and soil chemical properties, so that in general ex-mining land contains low nutrients. These problems in several mining companies that implement environmental sustainability are resolved through reclamation activities. This reclamation activity needs to be assessed, to measure the success of the mine in overcoming land degradation problems. In this study we demonstrate an assessment of the success of mine reclamation in the largest nickel mining area in South Sulawesi, using remote sensing technology. Formulation of NIR and Red bands on Sentinel 2 imagery can produce Normalized Difference Vegetation Index index. From the vegetation index value, it is known that the observed reclamation area is close to the high vegetation index value (0.7 - 0.9). This value is actually close to the vegetation index value in the surrounding natural forest, but with a low percentage of area. The distribution of the results of the assessment of plant growth in the reclamation area was lowest vegetation by 3.14%; lower vegetation by 12.15%; low vegetation by 21.53%; moderate vegetation by 14.82%; high vegetation by 25.94% and higher vegetation by 22.42% of the total reclamation area.
Penyuluhan Mitigasi Bencana pada Kawasan Sempadan Pantai Galesong Utara Kabupaten Takalar Riswal karamma; Muh Saleh Pallu; Muh Arsyad Thaha; Farauk Maricar; Rita Tahir Lopa; Mukhsan Putra Hatta; Silman P Manda; A Subhan Mustari; Bambang Bakri; Farid Maricar; A Ilda Puspita
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 4 No 2 (2021): Community Empowerment through Health Awareness in the New Normal
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v4i2.215

Abstract

Coastal community education is needed to maintain the balance of coastal border areas. The purpose of this activity is to increase public awareness in dealing with and reducing disaster risk and provide a basic understanding of disaster mitigation in coastal border areas. Disaster mitigation is an activity to reduce the impact of disasters. The main components that need to be considered in understanding disasters are hazard, vulnerability, resilience, and risk. An understanding of the four main components will determine how the approach and action to disaster must be taken. The data collection method was carried out by observing the coastal border area in the Takalar area, then conducting a review of data or documents related to the border area and discussions with the community who live around the coastal border in North Galesong District to complete the results of the data review. In this service activity, counseling is carried out, one of which describes the level of danger of abrasion and the efforts made to reduce the risk. The step taken as an effort to reduce the risk of abrasion is to carry out disaster mitigation efforts. Implementation of disaster mitigation counseling in coastal border areas is a form of non-structural disaster mitigation in terms of strengthening community capacity. This outreach activity motivates the community to strengthen capacity and protect the environment around the coastal border, especially to prevent abrasion.
A Diversity Index Model based on Spatial Analysis to Estimate High Conservation Value in a Mining Area Siti Halimah Larekeng; Munajat Nursaputra; Nasri Nasri; Andi Siady Hamzah; Andi Subhan Mustari; Abdur Rahman Arif; Aris Prio Ambodo; Yohan Lawang; Andri Ardiansyah
Forest and Society Vol. 6 No. 1 (2022): APRIL
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v6i1.12919

Abstract

Large scale land-based investments have a significant impact on natural resources and environmental conditions. It is necessary to protect areas of high conservation value (HCV) within land management investments, such as the mining sector, to minimise this impact. The existence of high conservation value sites in locations with activities related to the mining sector is intended to maintain the ecological and conservation value of a mining investment area. We demonstrate a model that can identify potential high conservation value sites in mining areas using remote sensing data and spatial analysis compiled with field observation data. The research was conducted in one of the largest nickel mining areas (71,047 ha) in South Sulawesi, Indonesia. We mapped vegetation density using the normalized difference vegetation index (NDVI), calculated from Sentinel-2 imagery. We also collected biodiversity data in predetermined inventory sampling plots, which we then used to estimate species richness using the Shannon-Wiener diversity index. Using a linear regression model to compare the normalized difference vegetation index value in each sampling plot with the biodiversity value of flora and fauna, we then estimated biodiversity distribution patterns for the entire study area. We found that potential high conservation value areas (areas likely to have high biodiversity based on our regression model) covered 40,000 ha, more than half of the total concession area.
Co-Authors A Ilda Puspita Abdur Rahman Arif Andi Siady Hamzah Andri Ardiansyah Andri Ardiansyah Aris Prio Ambodo Aris Prio Ambodo Bambang Bakri Farauk Maricar Muh Arsyad Thaha Muh Saleh Pallu Muhammad Farid Maricar Mukhsan Putra Hatta, Mukhsan Putra Munajat Nursaputra, Munajat Nasri Nasri Riswal Karamma Rita Tahir Lopa Silman P Manda SITI HALIMAH LAREKENG, SITI HALIMAH Yohan Lawang Yohan Lawang