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Burned Area Mapping Using ΔBAI-Otsu from Landsat 8 Imagery in Bukit Anak Dara East Lombok Prasetyo, Andrie Ridzki; Valentino, Niechi; Silamon, Rato Firdaus; Idris, Muhamad Husni; Latifah, Sitti; Aji, Irwan Mahakam Lesmono; Pratama, Roni Putra
Jurnal Biologi Tropis Vol. 25 No. 4b (2025): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4b.10836

Abstract

Forest and land fires are recurrent in Indonesian tropical mountain savannas and threaten biodiversity, carbon stocks, and local livelihoods, yet spatially explicit burned-area information is still limited. This study aimed to evaluate the performance of the Burn Area Index (BAI) from Landsat 8 OLI–TIRS imagery for mapping the 2024 fire in Bukit Anak Dara, East Lombok. Burned and unburned pixels were classified by applying a two-class Otsu threshold to the ΔBAI histogram for the full scene extent. The resulting burned-area map was validated against high-resolution polygons obtained from visual interpretation of Sentinel-2A imagery and against fire hotspots from the SiPongi+ system. Compared with Sentinel-2A polygons, the ΔBAI–Otsu method produced a burned-area estimate of 275.49 ha versus 318.87 ha from the reference and achieved an overall accuracy of 0.97, precision of 0.94, recall of 0.81, and an F1-score of 0.87. Validation against hotspot data yielded lower performance (overall accuracy 0.87, precision 0.40, recall 0.41, F1-score 0.41), reflecting conceptual and spatial-scale differences between point-based active-fire detections and patch-based burned-area mapping. Burned pixels were concentrated on west–northwest facing slopes dominated by dry savanna, highlighting the role of topography and fuel characteristics in fire spread. Overall, the results therefore indicate that the ΔBAI–Otsu approach is a rapid, transparent, and reproducible tool for post-fire burned-area mapping in tropical mountain ecosystems and has strong potential for routine operational monitoring.
Monitoring Pertumbuhan dan Produktivitas Tanaman Aren (Arenga pinnata Merr) di Hutan Kemasyarakatan Aik Bual Kabupaten Lombok Tengah: Growth and Productivity Monitoring of Sugar Palm (Arenga pinnata Merr) in the Aik Bual Community Forest, Central Lombok Regency Sani, Ahmad Luqman; Nurul Chaerani; Aji, Irwan Mahakam Lesmono
Jurnal Silva Tropika Vol. 9 No. 2 (2025): Jurnal Silva Tropika
Publisher : Fakultas Kehutanan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jurnalsilvatropika.v9i2.47822

Abstract

ABSTRACT The sugar palm (Arenga pinnata Merr) is a multipurpose tree species of considerable ecological and economic significance, naturally occurring in forest ecosystems, including the Community Forest (HKm) of Aik Bual, Central Lombok. This study aimed to assess population dynamics and productivity changes of sugar palm over a five-year period (2019–2024). A complete enumeration was conducted, recording all individuals and classifying them by growth stage (seedling, sapling, pole, and tree) and productivity category (non-productive, nearly productive, productive, and no longer productive). Results showed that the population increased from 433 individuals in 2019 to 1,195 individuals in 2024, representing an increase of 762 individuals (approximately 176%). In 2024, the population consisted of 287 seedlings, 339 saplings, 230 poles, and 88 trees classified as non-productive; 1 pole and 122 trees as nearly productive; 88 trees as productive; and 40 trees as no longer productive. This population growth was supported by favorable environmental conditions, including fertile Mollic Andosol soils, annual rainfall of 1,629–2,823 mm/year, and mean temperatures of 26–27°C.   Keywords: aik bual community forest, growth, monitoring, productivity, sugar palm   ABSTRAK Aren (Arenga pinnata Merr) merupakan jenis tanaman serbaguna (Multi Purpose Tree Species) yang memiliki nilai ekologis dan ekonomis tinggi, yang tumbuh secara alami di Kawasan hutan, termasuk di Hutan Kemasyarakatan (HKm) Aik Bual, Lombok Tengah. Penelitian ini bertujuan untuk mengetahui perkembangan tanaman aren di HKm Aik Bual dari sisi pertumbuhan dan produktivitas dalam kurun waktu lima tahun yaitu tahun 2019-2024. Metode yang digunakan adalah sensus (sampling jenuh) terhadap seluruh individu tanaman aren, dengan paremeter yang diamati meliputi tingkat pertumbuhan (Semai, Pancang, Tiang, dan Pohon) dan tingkat produktivitas (Belum Produktif, Hampir Produktif, Produktif, dan Sudah Tidak Produktif). Hasil menunjukkan peningkatan populasi tanaman aren dari 433 individu pada tahun 2019 menjadi 1.195 individu pada tahun 2024, bertambah sebanyak 762 individu atau naik sekitar 176%. Komposisi aren pada tahun 2024 meliputi 287 individu tingkat semai, 339 individu tingkat pancang, 230 individu tingkat tiang, dan 88 individu tingkat pohon yang semuanya masuk dalam kategori belum produktif. Pada kategori hampir produktif terdapat satu individu tiang dan 122 individu pohon, sementara itu, 88 individu pohon telah memasuki kategori sudah produktif, dan 40 individu pohon lainnya tergolong sudah tidak produktif. Peningkatan populasi aren didukung oleh kondisi lingkungan seperti jenis tanah yang sesuai, seperti jenis tanah Andosol Molik yang subur, curah hujan tahunan antara 1.629–2.823 mm/tahun, dan suhu rata-rata antara 26–27°C   Kata kunci: aren, HKm aik bual, monitoring, pertumbuhan, produktivitas
Agroforestry Practices and Community Resilience to The Impact of Climate Change in Sesaot Forest Area, Lombok, Indonesia Markum Markum; Taslim Sjah; Muhamad Husni Idris; Irwan Mahakam Lesmono Aji; Muhamad Yul Fikry; Firman Ali Rahman
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11258

Abstract

Climate change affects agroforestry production and community resilience in forest areas. This study aims to: (1) identify vulnerabilities of forest products to climate change; (2) analyze community adaptation strategies; and (3) assess resilience levels of forest-adjacent communities. The research applied descriptive methods via field observations, interviews, and focus group discussions. From 74 residents, random sampling was used (Slovin method, 10% margin of error). Variables included economic, psychological, and social-institutional aspects. Resilience was assessed using a scoring system integrating Reivich & Shatté’s theory and a Likert scale, categorized into five levels: very high to very low. Results show that key vulnerabilities in the Sesaot forest area include harvest failures of major crops (e.g., durian, mangosteen, avocado, rambutan, cacao, coffee), with losses reaching 60–80%. Communities adapted through stratified agroforestry systems and strengthening local institutions. Resilience levels were high overall—economically moderate, but socially and psychologically strong. The study recommends improving economic resilience by reducing crop failure risks, including through the establishment of plant health clinics
Co-Authors Abda Abda Adawi, Turmiya Fathal Aditia, G. B. Daril Rama Aditya, Muhamad Pradana Sasaka Ahmad, Zamhur Aminah Firashinta Andi Chairil Ichsan Andi Chairil Ichsan Andi Tri Lestari Andrie Ridzki Prasetyo Anggun Nusrat Jehan Damanik Anwar Hadi, Muhammad Arna Diansyah Ashari, Agus Mulyadi B, Kornelia Webliana Budhy Setiawan Chaerani, Nurul Clarita Wihelmina Sulastri Devi Devi Nurlaely Diah Permata Sari Diah Permata Sari Diah Permata Sari DIAH PERMATA SARI, DIAH PERMATA Dini Lestari Dwi Putri, Windi Berliana Dwi Sukma Rini Endah Wahyuningsih Endah Wahyuningsih Eni Hidayati Epy Liana fadila, mia Fauzan Fahrussiam Febriandy, Idfi Fikri, Khairul Firashinta, Aminah Firman Ali Rahman Gozali, M. Rijalul Haekal Ardiansyah Hafizul Khatomy Hairil Anwar Hairil Anwar Hairil Anwar Hairil Anwar Hardi, Lalu Amrian Hasyyati Shabrina Hendrianan Hendrianan Ichsan, Andi C Indriyatno Indriyatno Kornelia Webliana Kornelia Webliana B Lalu Kukuh Mahendra Lili Nurindah Sari Lu'luil Maya Lestari M Yusuf M. Dicka Wira Graha Maaruf, Caesario Agustiandi Mahardika Rizqi Himawan Markum Maul Hayati Maulida, Arifa Yunia Mayaning Sari, Ni Kadek Muhamad Husni Idris Muhamad Husni Idris Muhamad Husni Idris Muhamad Husni Idris Muhamad Husni Idris Muhamad Husni Idris Muhamad Husni Idris Muhamad Husni Idris, Muhamad Husni Muhamad Yul Fikry Muhammad Anwar Hadi Musdi Musdi Ngadianto, Agus Niechi Valentino Niechi Valentino Niha Hidayati Mantika Nurdiansyah, Rizal Nurmalasari, Yeni Nursan, Muhammad Nurul Chaerani Nurul Chaerani Pande Komang Suparyana Prasetyo, Andrie Ridzki Prasetyo, Dhimas Mardyanto Prasetyo, Mardyanto Pratama, Roni Putra Putri Raudatun Hasanah Rato Firdaus Silamon, Rato Firdaus Resty Luana Sari Rima Vera Ningsih River Wedilen Bona Simatupang Salviana, Wulan Sani, Ahmad Luqman Shabrina, Hasyyati Shafwati Munawarah Sherliana Retno Hernita Gunawan Putri Sitti Latifah Sitti Latifah Sitti Lattifah Sulastri, Clarita Wihelmina Sutriono, Raden Syahputra, Maiser Taslim Sjah Turmiya Fathal Adawi Ulandari Handayani Webliana B, Kornelia Webliana B., Kornelia Webliana, Kornelia Wihelmus Jemarut Windiati, Windiati Wulandari, Febriana Tri Yamin, Rahadian Yogi Firmansyah Yuliana Yuliana Zhafarina Istiqomah Khaerani Wibawa