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All Journal Jurnal Sylva Scienteae Journal of the Community Development in Asia
Ahmad Jauhari
Lambung Mangkurat University
Agriculture, Biological Sciences & Forestry Humanities Environmental Science

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Stakeholder Role Analysis in Managing the Special Purpose Forest Areas (KHDTK) of Mungku Baru, Central Kalimantan, Indonesia Nanang Hanafi; Ahmad Jauhari; Gusti Muhammad Hatta; Hafizianor Hafizianor
Journal of The Community Development in Asia Vol 8, No 2 (2025): May 2025
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v8i2.3861

Abstract

The change in status of forest areas to Special Purpose Forest Areas (KHDTK) aims to optimize forest resource management to support sustainability and sustainable use. KHDTK Mungku Baru is one example of an area managed by the local government and universities, but it faces various challenges, especially conflicts of interest between stakeholders. This research aims to analyze the role of stakeholders in managing KHDTK Mungku Baru and understand the interests and influence of each party in the management process. Data were collected through in-depth interviews with various parties involved, such as local governments, academics, NGOs, and the surrounding community. The results of the study indicate that stakeholders in the management of KHDTK Mungku Baru can be categorized into four groups based on their level of influence and interests: key players, context setters, subjects, and crowd. Local communities have high interests but low influence in the management of KHDTK, thus requiring a more effective empowerment approach. Meanwhile, local governments and academic institutions, as key players, play a major role in decision-making and policy implementation. To optimize the management of KHDTK Mungku Baru, a collaborative strategy that actively involves all stakeholders is needed.
Estimasi Penyerapan Karbon di Kawasan Hutan dengan Tujuan Khusus ULM Menggunakan Metode Klasifikasi NDVI Dengan Citra Sentinel-2 MSI Aditya Ramadhan; Syam'ani Syam'ani; Ahmad Jauhari
Jurnal Sylva Scienteae Vol 9, No 1 (2026): Jurnal Sylva Scienteae Vol 9 No 1 Edisi Februari 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jss.v9i1.11428

Abstract

ABSTRACT, Greenhouse gases such as carbon dioxide are significant contributors to global warming, threatening the global climate. Carbon in forest biomass has the potential to reduce GHG emissions. This research aims to develop a biomass model based on NDVI values and field data to estimate carbon sequestration in the ULM Forest Carbon Stock Area. The research utilizes two methods: NDVI and field measurements. Pre-field data management involves image management, image correction, and image clipping for NDVI analysis on the research area map. Sample point determination uses stratified and purposive sampling with a plot size of 20 m × 20 m, totaling 45 sample points. Field observation data collection at tree, pole, pile, understory vegetation, seedlings, and litter levels to assess the forest biomass potential. The research results, based on 38 samples, establish a linear regression model correlation of 715.62x-187.29 with an R2 of 0.701 and an RMSE measurement error rate of 41.72 kg/pixel, indicating an average field carbon potential of 217.11 kg/pixel. This shows the highest carbon potential in 2018 at 0.39 ton/pixel and 0.42 ton/pixel in 2022. The developed linear regression model indicates a carbon sequestration of 2585.07 tons or 1.63 tons/ha over a four-year period in the ULM Forest Carbon Stock Area.Keywords : Biomass, NDVI, Correlation, Carbon SequestrationABSTRAK. Gas rumah Kaca (GRK) seperti karbon dioksida menjadi kontributor utama pemanasan global yang mengancam iklim global. Karbon hutan dalam bentuk biomassa memiliki potensi menurukan emisi GRK. Penelitian ini bertujuan mengembangkan model biomassa antara nilai NDVI dan data lapangan sehingga mengestimasikan serapan karbon KHDTK ULM. Metode penelitian menggunakan dua metode NDVI dan pengukuran lapangan. Pengelolaan data pralapangan meliputi pengelolaan citra, koreksi citra, pemotongan citra untuk analisis NDVI pada peta wilayah penelitian. Teknik penentuan titik sampel menggunakan stratified sampling dan purposive sampling dengan ukuran plot 20 m × 20 m berjumlah 45 titik sampel. Pengambilan data hasil observasi lapangan pada tingkat pohon, tiang, pancang tumbuhan bawah, semai dan seresah untuk mengetahui potensi biomassa hutan. Hasil penelitian menunjukkan dari 38 sampel yang digunakan membangun korelasi model regresi linier yaitu 715,62x-187,29 dengan R2 (0,701) dengan RMSE tingkat eror pengukuran potensi karbon sebesar 41,72 kg/pixel, dengan rata-rata potensi karbon lapangan 217,11 kg/pixel. Menunjukkan potensi karbon terbesar tahun 2018 yaitu 0,39 ton/pixel dan tahun 2022 sebesar 0,42 ton/pixel. Model regresi linier yang dikembangkan menunjukkan penyerapan karbon KHDTK ULM sebesar 2585,07 ton atau 1,63 ton/ha dalam kurun waktu empat tahun.Kata Kunci: Biomassa, NDVI, Korelasi, Penyerapan Karbon
Co-Authors Aditya Ramadhan Gusti Muhammad Hatta Hafizianor Hafizianor Nanang Hanafi Syam'ani Syam'ani