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Iskandar, Beni
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Model Forest and Land Fires in Kahayan Central Forest Management Unit Iskandar, Beni; Khasanah, Kholifatun; Sari Marlina
Journal of Sylva Indonesiana Vol. 8 No. 01 (2025): Journal of Sylva Indonesiana
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsi.v8i01.15995

Abstract

In 2015 and 2019, the Central Kahayan Forest Management Unit (FMU) experienced forest fires on peatlands that had significant impacts on ecological, economic, and social aspects. Consequently, it is imperative to devise a comprehensive strategy aimed at the enhancement of a susceptibility map for forest and land fires. This research endeavor seeks to construct a detailed framework that assesses the susceptibility of forested areas and land to fire incidents inside of the Kahayan Central Forest Management Unit (FMU). The frameworking procedure will employ an integrated approach that synergizes the Analytical Hierarchy procedure (AHP) by Geographic Information System (GIS) technologies to achieve a more robust analysis of fire susceptibility. The outcomes showed that there are three classes of forest and land fire susceptibility, namely the unsusceptible class covering 152,760 hectares (41%), the moderately susceptible class covering 150,171 hectares (40%), and the very susceptible class covering 72,585 hectares (19%). The outcomes of this research are anticipated to provide a foundational framework for the effective management and mitigation of forest and land fires inside of the Central Kahayan Forest Management Unit (FMU), thereby aiming to alleviate the adverse impacts associated by such incidents.
MONITORING LAND COVER CHANGE INDICATIVE MAP OF SOCIAL FORESTRY AREA IN PULANG PISAU REGENCY Putri, Ananda; Marcoleos, Shandy; Pratama, Yogian; Meklie; Iskandar, Beni
Jurnal Belantara Vol 8 No 1 (2025)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v8i1.1081

Abstract

Pulang Pisau Regency faces significant pressure from human activities that threaten the sustainability of its forests. The phenomenon of deforestation and land conversion is important for understanding the dynamics of land cover change. Social forestry programs potentially contribute to reducing the rate of change in forest cover. This study aims to analyze land cover change on the Indicative Social Forestry Map (PIAPS) in Pulang Pisau Regency. The research method used Landsat-7 images recorded in 2000 and Landsat-8 images recorded in 2020, PIAPS data, and land cover classification using the Random Forest model with Quantum GIS and Google Earth Engine (GEE) software. The research shows that there has been a significant land cover change over a decade in the Indicative Map of Social Forestry in Pulang Pisau District. Forest cover has decreased from 41,149 ha in 2000 to 23,836 ha in 2020. The average accuracy of land cover showed an OA value of 95% and KA of 92%, which is categorized as good. This study thus highlights the importance of maintaining forest cover to address future land change dynamics through social forestry scheme programs
Training on the cultivation technique of indigofera plants and introduction to drones for the world of agriculture and forestry [Pelatihan teknik budidaya tanaman indigofera dan pengenalan drone untuk dunia pertanian dan kehutanan] Saijo, S; Iskandar, Beni; Susilo, Djoko Eko Hadi
Buletin Pengabdian Vol 5, No 2 (2025): Bull. Community. Serv.
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/bulpen.v5i2.45920

Abstract

The productivity of ruminant livestock is closely correlated with the continuous availability of forage, both in quality and quantity, making its availability crucial. On the other hand, the use of drone technology to support efforts in agriculture and forestry is also very important to be socialized to the community. Therefore, training is the right solution to achieve this, enabling the dissemination of knowledge about the utilization of indigofera as livestock feed and the use of drones. The aim of this service is to train students on indigofera cultivation techniques and how to use drones in the fields of agriculture and forestry. The service is conducted at Senior High School 1 Jabiren Raya, Jabiren Raya Sub-District, Pulang Pisau District, Central Kalimantan Province, using a training method, with 40 students participating. It will be held on February 18, 2025, with several stages of preparation and implementation. Activities were conducted at two locations, the first in the Auditorium with a theoretical presentation, and the second on the grounds of SMAN 1 Jabiren Raya, which served as a practical site for cultivation and drone operation. The results of the community service activities indicate that the training on indigofera cultivation techniques and the introduction of drone usage in agriculture and forestry showed a significant difference in knowledge before and after the training. In conclusion, the comparison of understanding before and after the training was 27% compared to 90%.
FOREST FIRE DETECTION BASED ON GOOGLE EARTH ENGINE SEBANGAU NATIONAL PARK Dwi Wulandari, Afifah Kiki; Iskandar, Beni; Marlina, Sari
Jurnal Belantara Vol 8 No 2 (2025)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v8i2.1143

Abstract

Sebangau National Park, a peatland conservation area, is particularly vulnerable to forest fires. These conflagrations are most prevalent during the dry season. The objective of this research is to detect and analyze burned areas in Sebangau National Park using the Google Earth Engine (GEE) platform. The analysis will utilize Landsat 8 satellite imagery from 2015. The methods employed for detecting areas that have undergone combustion include the utilization of Normalized Burn Ratio (NBR) and Normalized Difference Vegetation Index (NDVI) indices. The analysis reveals that the burned area, as determined by the NBR index, encompasses 27,567.92 hectares. When assessed using NDVI, the burned area increases to 35,163.44 hectares. The accuracy assessment reveals that the NDVI index exhibits an Overall Accuracy (OA) value of 97.71% and Kappa Accuracy (KA) of 81.46%, which exceeds the NBR by 0.07% and 1.24%, respectively. This finding highlights the enhanced precision of NDVI in detecting vegetation changes resulting from fire events. Consequently, NDVI can serve as a crucial reference point in post-fire mitigation and rehabilitation efforts within peat conservation areas.
Palangka Raya City Deforestation in 2006-2021 Iskandar, Beni; Marlina, Sari; Nathaneal, Laondry
Prosiding University Research Colloquium Proceeding of The 17th University Research Colloquium 2023: Bidang Kebencanaan
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Central Kalimantan is the province with the second highest deforestation rate in Indonesia. Palangka Raya City is the capital city of Central Kalimantan Province, which continues to experience population growth and land investment. Monitoring deforestation needs to be done to provide basic information for sustainable forest management planning. This study aims to analyze deforestation and the concentration of deforestation in Palangka Raya City for the period 2006-2021. This research uses the method of overlaying land cover, map validation, hisotric analysis of deforestation and the concentration of deforestation. This research shows that the accuracy of the deforestation map is 90% overall accuracy and 80% kappa accuracy, deforestation in Palangka Raya City is 7,810 ha in the 2006-2011 period, increased by 17,452 ha in the 2011-2016 period, and decreased by 10,121 ha in the 2016-2021 period, the concentration of deforestation in Palangka Raya City is in Rakumpit and Bukit Batu districts. This research can serve as basic information to support sustainable forest management planning in Palangka Raya City.
Modeling Land Cover Change Using MOLUSCE in Kahayan Tengah Forest Management Unit, Kalimantan Tengah Iskandar, Beni; Saidah; Kurnia, Adib Ahmad; Jauhari, Ahmad; Zannah, Fathul
Jurnal Sylva Lestari Vol. 12 No. 2 (2024): May
Publisher : Department of Forestry, Faculty of Agriculture, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsl.v12i2.865

Abstract

A management unit-based land cover change analysis was examined in Kahayan Tengah Forest Management Unit (FMU) to understand past, present, and future land cover to assist forest management planning in Kahayan Tengah FMU. This study aims to model land cover change in 2011 and 2016, predict 2021, and simulate land cover in 2026 in Kahayan Tengah FMU. Modeling land cover prediction and simulation using MOLUSCE from the QGIS plugin. The results revealed that agricultural land experienced significant increase in total area during 2011–2016. Modeling potential land cover transitions in 2011 and 2016 with the Artificial Neural Network method showed a Kappa coefficient of 0.701 in the good category, and simulation of land cover in 2021 with the Cellular Automata method showed a Kappa coefficient of 0.672 in the good category. By 2026, the agricultural land will continue to increase while forest land tends to remain stable in its total area. This study managed to predict land cover in 2021 and simulated 2026 with good accuracy. Thus, this data and information can support forest management planning in Kahayan Tengah FMU. Keywords: forest management unit, Kahayan Tengah, land cover change, land cover prediction, MOLUSCE
Pelatihan Pemanfaatan Sistem Informasi Geografis bagi Pengelola Hutan Kemasyarakatan Hinje Simpei di Kabupaten Pulang Pisau Kalimantan Tengah Iskandar, Beni; Purnama, Ardiyansyah; Putro, Dhymas Sulistyono
Jurnal Pengabdian UNDIKMA Vol. 6 No. 4 (2025): November
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v6i4.17886

Abstract

This community service activity aims to enhance the capacity of the Hinje Simpei Forest Farmer Group (KTH) in managing Community Forests (HKm) through the application of Geographic Information System (GIS) technology to support inventory, spatial management planning, and sustainable monitoring of biophysical conditions. The implementation methods include four stages: socialization, training, technology application, and mentoring. The evaluation instruments employed a quantitative analysis using a pre-test and post-test design, followed by a paired t-test to identify significant differences. The results of this community service activity indicate an improvement in the capacity of the Hinje Simpei Forest Farmer Group in utilizing GIS for inventory, spatial planning, and biophysical monitoring. The strengths of this program include the use of a participatory approach, enhanced technical skills through hands-on practice, and the development of thematic maps that serve as valuable references for forest management. This program provided new insights and strengthened GIS-based management practices for the Hinje Simpei Community Forest.
PENERAPAN MODEL MAXIMUM ENTROPY KESESUAIAN HABITAT ORANGUTAN KHDTK MUNGKU BARU PROVINSI KALIMANTAN TENGAH Setiawan, Edo; Wulandari, Afifah Kiki Dwi; Sadha, Maria Skolastika; Paradisa, Nazla; Iskandar, Beni
Jurnal Hutan Tropis Vol 13, No 4 (2025): Jurnal Hutan Tropis Volume 13 Nomer 4 Edisi Desember 2025
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v13i4.20194

Abstract

Kawasan Hutan Dengan Tujuan Khusus (KHDTK) Mungku Baru di Provinsi Kalimantan Tengah merupakan habitat penting bagi Orangutan Kalimantan (Pongo pygmaeus), namun kawasan ini berpotensi mengalami gangguan akibat kegiatan manusia. Oleh sebab itu, diperlukannya langkah awal upaya konservasi dengan menentukan lokasi yang sesuai sebagai habitat Orangutan. Penelitian ini bertujuan untuk menganalisis kesesuaian habitat Orangutan di KHDTK Mungku Baru menggunakan model Maximum Entropy (MaxEnt). Penelitian ini menggunakan variabel kelerengan, ketinggian, jarak dari jalan, jarak dari pertambangan emas ilegal, dan penutupan lahan serta data kehadiran Orangutan, semua data tersebut dianalisis menggunakan model Maxent.  Hasil penelitian habitat Orangutan berdasarkan analisis kurva respon menunjukan bahwa terdapat pada kelerengan 5-20%, dilanjutkan pada ketinggian 30-60 mdpl, dekat dengan sungai ≤ 200 meter, jarak dari tambang emas ± 1000 meter, dan penutupan hutan rawa sekunder dan hutan lahan kering sekunder. Tingkat kepentingan variabel yang berpengaruh untuk menyusun model kesesuaian habitat Orangutan adalah variabel penutupan lahan. Akurasi pendugaan kesesuaian habitat Orangutan berdasarkan nilai AUC adalah sebesar 0.806 (baik). Penelitian ini merekomendasikan dalam penyusunan skala prioritas pengelolaan habitat Orangutan di KHDTK Mungku Baru dengan mempertahankan penutupan hutan dan memperhatikan aspek sosial agar pertambangan emas tidak mengalami perluasan pada masa depan yang berpotensi mengganggu habitat. 
Co-Authors Ahmad Jauhari Ananda Putri, Ananda Ardiyansyah Purnama Dhymas Sulistyono Putro Djoko Eko Hadi Susilo Dwi Wulandari, Afifah Kiki Fathul Zannah Khasanah, Kholifatun Kurnia, Adib Ahmad Marcoleos, Shandy Marlina, Sari Meklie Nathaneal, Laondry Paradisa, Nazla Pratama, Yogian Sadha, Maria Skolastika Saidah Saijo, S Sari Marlina Setiawan, Edo Wulandari, Afifah Kiki Dwi