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Forest and Peatland Fire Severity Assessment at Siak Regency, Riau Province using Sentinel-2 Imagery Fakhri Sukma Afina; Lailan Syaufina; Imas Sukaesih Sitanggang
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 11 No. 4 (2021): Journal of Natural Resources and Environmental Management
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.4.621-630

Abstract

Siak Regency, Riau Province is one of the most forest and land fire-prone regencies in Indonesia. Most of the fires occur in peatland areas which contributes to the transboundary haze pollution in the region. Despite limited studies, fire severity assessment is an essential step in post-fire activities to estimate ecological impacts and economic impacts and law enforcement. This study aims to estimate fire severity using Sentinel-2 imagery at Siak Regency, Riau Province. The methods applied Normalized Burn Ratio on Sentinel-2 Imagery as an identification model based on reflectance value for 2019 imagery. The study revealed that burned areas in Siak Regency could be classified into four fire severity classes: low fire severity, moderate-low fire severity, moderate-high fire severity, and high fire severity. High fire severity was found mainly at Sungai Apit and Mempura Districts.
Sustainable analysis of integrated cajuput oil business development as a sustainable forestry multi-business at PT Inhutani I Titik Ernawati; Lailan Syaufina; Hariyadi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 11 No. 4 (2021): Journal of Natural Resources and Environmental Management
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.11.4.631-637

Abstract

One of the consequences of deforestation is the spread of critical land both inside and outside the forest area. Agroforestry or intercropping is developed to provide benefits and improve welfare for the community, and to optimize the results of a form of sustainable land use to ensure and improve food needs. Eucalyptus is one type of plant that is suitable for forest land rehabilitation because of its ability to live on marginal lands. The purpose of the study was to assess the feasibility of eucalyptus oil business and formulate business sustainability development from seven aspects/feasibility parameters, which are namely: (1) legal aspects, (2) social, economic and cultural aspects, (3) market aspects, (4) management and human resources, (5) risk management aspects, (6) technical aspects, and (7) financial aspects. Meanwhile, to find out whether the eucalyptus business activity as a whole can be sustainable, and its development model, a sustainability analysis was carried out using the cobweb (Amoeba) method. Within the framework of sustainability, eucalyptus concessions must make changes and innovations (Estimated business feasibility on a planting area of 5,200 ha obtained a Net Present Value (NPV) of Rp. 950,734,956,062, - with a discounted interest rate of 12% shows that the eucalyptus oil industry will get a net profit of Rp 7,076,409,779,281, - BC Ratio of 12.56, Interest Rate of Return (IRR) of 55%, Payback Period in the 5th year 4 months shows that in a period of 5 years and 4 months from the investment can be returned from business revenues. The results showed that the seven aspects/parameters were declared feasible and continued with a sustainability analysis and concluded that the eucalyptus oil concession was declared sustainable.
Ground Water Level as an Indicator of Fire in Tanjung Jabung Timur, Jambi Province Atfi Indriany Putri; Lailan Syaufina; Nining Puspaningsih
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 12 No 4 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.12.4.749-756

Abstract

Kebakaran hutan dan lahan setiap tahunnya menjadi salah satu isu lingkungan yang menjadi perbincangan masyarakat, baik tingkat lokal, nasional, hingga internasional. Faktor yang mempengaruhi kebakaran di lahan gambut antara lain: tinggi muka air, hotspot, dan curah hujan. Badan Restorasi Gambut dan Mangrove beberapa tahun ini telah membuat alat dalam bentuk sensor Sistem Pemantauan Air Lahan Gambut (SIPALAGA) dengan tujuan pengukuran tinggi muka air. Tujuan dari penelitian ini ialah untuk (1) menganalisis hubungan tinggi muka air dengan hotspot sebagai indikator terjadinya kebakaran hutan dan lahan, serta (2) menganalisis tinggi muka air dengan curah hujan. Kabupaten Tanjung Jabung Timur memiliki distribusi hotspot periode Januari 2019 – Desember 2021 senilai 916 titik panas (hotspot). Hasil uji korelasi hubungan hotspot dengan tinggi muka air memperoleh nilai korelasi sedang dengan nilai -0.408 dan P-Value 0.001, hal tersebut menunjukkan bahwa hotspot dengan tinggi muka air mempunyai hubungan negatif, yang artinya tinggi nilai hotspot akan diikuti bersama-sama dengan turunnya nilai tinggi muka air. Adapun untuk korelasi tinggi muka air dengan curah hujan mendapatkan nilai korelasi tinggi dengan nilai 0.705 dengan nilai P-Value sebesar 0.001 dan memiliki notasi positif, yang artinya tingginya jumlah curah hujan akan diikuti Bersama tingginya nilai tinggi muka air.
Application of Random Forest Algorithm to Analyze the Confidence Level of Forest Fire Hotspots in Riau Peatland Unik, Mitra; Sukaesih Sitanggang, Imas; Syaufina, Lailan; Surati Jaya, I Nengah
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 2 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.2.255

Abstract

Forest fires pose a significant challenge in Riau Province, Indonesia, especially in peatland areas. This study employs the Random Forest (RF) algorithm to analyze the confidence levels of hotspots, aiming to predict potential fire occurrences and improve fire management strategies. The research focuses on peatlands spanning 3.86 million ha, using key variables such as NDVI, surface temperature, and peat thickness derived from satellite data. The model achieved an average AUC of 0.732 and a classification accuracy of 70.3%, with medium-confidence hotspots demonstrating the best predictive performance (AUC: 0.707, F1-score: 0.804). However, the model struggled with low-confidence hotspots, reflecting challenges in distinguishing less prominent patterns in the data. Compared to other methods, RF demonstrates strong potential in handling complex environmental datasets, making it a valuable tool for hotspot prediction. This study contributes to understanding forest fire risks in peatlands and provides actionable insights for improving preparedness and mitigation efforts.
Co-Authors Agus Buono Agus Siswono Agus Siswono Ahmad Ainuddin Nuruddin Aisyah Anggraini Albar, Israr Andi Gunawan Andini Tribuana Tunggadewi, Andini Tribuana Anggie Yohanna Mandalahi Anissa Rezainy Anita Zaitunah Annisa Puspa Kirana Arzyana Sunkar Asri Buliyansih Atfi Indriany Putri Atfi Indriany Putri Ati Dwi Nurhayati Awal, Elsa Elvira Bahruni . Bambang Hero Saharjo Boedi Tjahjono Chandrasa E Sjamsudin Daniel Happy Putra Denni Prasetia Diah Zuhriana Didik Suharjito Dinda Aisyah Fadhillah Hafni Drucella Benala Dyahati Eduardo Fernando Martins de Carvalho Efendi, Zuliar Eka Intan Kumala Putri Eko Heriyanto Entin Kartini Erfan Noor Yulian Erianto Indra Putra Fakhri Sukma Afina Firman Ardiansyah Fransisxo GS Tambunan Gatot Setiawan Gatot Setiawana Gusti Zainal Anshari Hariyadi Hendra Rahmawan Hendra Rahmawan I Nengah Surati Jaya Iin Ichwandi Imam Suyodono Imas Sukaesih Sitanggang Indah Prasasti Indah Prasasti Irdika Mansur Istiqomah, Nalar Istomo . Jamaluddin Basharuddin James Thomas Erbaugh Jumani Jumani Khaira, Ulfa Khairia Nafia Khulfi M Khalwani Komarsa Gandasasmita Krisnanto, Ferdian Kurniawati Purwaka Putri Lai Food See LILIK BUDIPRASETYO M. Syamsul Maarif M. Taufan Tirkaamiana M. Taufan Tirkaamiana Meti Ekayani Mirzha Hanifah Mochamad Asep Maksum Mohid Rashid Mohd Yusof Muhammad Ardiansyah Muhammad Hawari Azka Muhammad Hudzaifah Rihuljihad Muhammad Ikhsan Muhammad Imam Nugraha Muhammad Nur Aidi Nadhifah, Putri Addini Arsya Nining Puspaningsih Noor Farikhah Haneda Nova Puspitasari Nuniek Sutanti Nurheni Wijayanto Prima Trie Wijaya Purwanti , Endang Yuni Purwanti, Endang Yuni Putra, Aditya Handoyo Putri Thariqa Rinenggo Siwi Rizaldi Boer Rizki, Yoze Samsuri Samsuri, Samsuri Sandhi Imam Maulana Satyawan, Verda Emmelinda Sigit Purwanto Sitanggang, Imas S. Siti Badriyah Rushayati Sobri Effendy Sofia Fitriana Sri Mulatsih Sugiarto, Dwi Putro Supriyadi, Andi Supriyanto Supriyanto Suryawan Ramadhan Syaiful Anwar Taihuttu, Helda Yunita Titik Ernawati Tri Tiana Ahmadi Putri Trisminingsih, Rina Unik, Mitra Vera Linda Purba Wahida Annisa Wardana Wardana Widiatmaka Wiwin Ambarwulan WULANDARI Wulandari, Ratu Mutiara Yenni Vetrita Yuli Sunarti