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All Journal Journal of Geoscience, Engineering, Environment, and Technology Jurnal Belantara SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Sylva Indonesiana Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian UNDIKMA Jurnal Sylva Lestari JURNAL HUTAN TROPIS Prosiding University Research Colloquium Buletin Pengabdian Journal of Geographical Sciences and Education Jurnal Teknik Silitek
Beni Iskandar
Universitas Muhammadiyah Palangkaraya
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Crown closure segmentation on wetland lowland forest using the mean shift algorithm Beni Iskandar; I Nengah Surati Jaya; Muhammad Buce Saleh
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp965-977

Abstract

The availability of high and very high-resolution imagery is helpful for forest inventory, particularly to measure the stand variables such as canopy dimensions, canopy density, and crown closure. This paper describes the examination of mean shift (MS) algorithm on wetland lowland forest. The study objective was to find the optimal parameters for crown closure segmentation Pleiades-1B and SPOT-6 imageries. The study shows that the segmentation of crown closure with the red band of Pleiades-1B image would be well segmented by using the parameter combination of (hs: 6, hr: 5, M: 33) having overall accuracy of 88.93% and Kappa accuracy of 73.76%, while the red, green, blue (RGB) composite of SPOT-6 image, the optimal parameter combination was (hs:2, hr: 8, M: 11), having overall accuracy of 85.72% and kappa accuracy of 68.33%. The Pleiades-1B image with a spatial resolution of (0.5 m) provides better accuracy than SPOT-5 of (1.5 m) spatial resolution. The differences between single spectral, synthetic, and RGB does not significantly affect the accuracy of segmentation. The study concluded that the segmentation of high and very high-resolution images gives promising results on forest inventory.
PEMBERDAYAAN MASYARAKAT DENGAN BUDIDAYA PAKAN LEBAH DAN PEMANENAN MADU KELULUT Pienyani Rosawanti; Nurul Hidayati; Hariyadi Hariyadi; Nanang Hanafi; Beni Iskandar
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 6, No 3 (2022): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v6i3.9633

Abstract

ABSTRAKKegiatan penyediaan  pakan lebah kelulut (Trigona sp) mengandalkan tanaman yang ada di sekitarnya dan pemanenan madu dilakukan teknik konvesional, yang memiliki kekurangan tidak efektif dari segi waktu dan kurang higienis. Pengabdian ini bertujuan mengenalkan jenis-jens tanaman sumber pakan lebah kelulut (Trigona sp) dan melatih teknik budidayanya serta pemanenan madu kelulut yang higienis. Lokasi kegiatan ini di Desa Anjir, Kabupaten Pulang Pisau, Kalimantan Tengah. Metode kegiatan ini terdiri dari (1) persiapan pengadaan bahan tanaman dan media tanam, (2) persiapan bahan dan alat pemanenan madu kelulut modifikasi, dan (3) sosialisasi. Tanaman yang dikembangkan adalah tanaman bunga air mata pengantin karena mudah untuk ditanam dan dipelihara. Alat panen yang diperkenalkan merupakan alat panen modifikasi yang direkatkan dengan botol sebagai wadah untuk menampung madu. Hasil kegiatan ini bahwa terdapat peningkatan pengetahuan dan keterampilan masyarakat pembudidaya lebah madu kelulut melakukan budidaya tanaman bunga air mata pengantin sebagai sumber pakan lebah kelulut dan melakukan kegiatan pemanenan madu kelulut  dengan menggunakan alat panen madu modifikasi, sehingga  terjadi peningkatan kuantitas dan kualitas produk karena proses pemanenan madu kelulut lebih cepat dan higienis dengan menggunakan alat panen madu modifikasi. Pengabdian ini menyimpulkan bahwa meningkat pengetahuan dan keahlian masyarakat dalam penyediaan pakan dan proses panen madu kelulut yang higienis. Kata kunci: kelulut; madu; pakan; panen ABSTRACTThe activity of providing kelulut bee feed (Trigona sp) relies on the surrounding plants and harvesting of honey is carried out by conventional techniques, which have the disadvantage of being ineffective in terms of time and hygiene. This service aims to introduce the types of plants that feed the kelulut bee (Trigona sp) and train cultivation techniques and hygienic harvesting of kelulut honey. The location of this activity is in Anjir Village, Pulang Pisau Regency, Central Kalimantan. The method of this activity consists of (1) preparation of procurement of plant materials and planting media, (2) preparation of materials and tools for harvesting modified kelulut honey, (3) socialization. The plant developed is a bridal tear flower plant because it is easy to plant and maintain. The harvesting tool introduced is a modified harvesting tool that is glued to a bottle as a container to hold honey. The result of this activity is that there is an increase in the knowledge and skills of the kelulut honey bee cultivator community in cultivating bridal tear flower plants as a source of kelulut bee feed and harvesting kelulut honey using modified honey harvesting tools, resulting in an increase in product quantity and quality due to the honey harvesting process. kelulut faster and more hygienic by using a modified honey harvester. This service concludes that the knowledge and expertise of the community increases in the provision of feed and the hygienic harvesting process of kelulut honey. Keywords: feed; harvest;honey; kelulut
ALGORITMA MACHINE LEARNING DETEKSI DEFORESTASI HUTAN HUJAN TROPIS DI KABUPATEN KOTAWARINGIN BARAT Beni Iskandar; Nanang Hanafi
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 4 No 2 (2022): September 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v4i2.205

Abstract

Deforestasi hutan hujan tropis sangat ekstensif dan permanen menyebabkan degradasi hilangnya keanekaragaman hayati, penuruan kualitas dan kuantitas air, polusi udara dan emisi CO2. Beberapa dekade terakhir telah berkembang signifikan penerapan ektraksi penutupan lahan pada citra secara otomatis dengan teknik Mechine Learning (ML). Penelitian ini bertujuan menguji kehandalan ML algoritma RF, CART dan SVM untuk deteksi perubahan penutupan lahan dan mengukur deforestasi hutan hujan tropis di Kabupaten Kotawaringin Barat. Penelitian ini menggunakan citra Landsat-7 perekaman tahun 2000 dan citra Senintel-2A perekaman tahun 2021, saluran parameter spektral klasifikasi yang digunakan yaitu biru, merah, hijau, infra merah dekat dan gelombang pendek infra merah 1 dan 2, klasifikasi penutupan lahan menggunakan tiga ML algoritma yaitu RF, CART dan SVM. Hasil penelitian ini menunjukan bahwa penutupan hutan alam mengalami penurunan seluas 180.073 ha dan laju deforestasi 24.975 ha/th atau 1.9 %/th yang terjadi antara tahun 2000 hingga 2021. Algoritma RF menunjukan hasil yang terbaik dengan rerata akurasi OA 95% dan Kappa 94%. Keywords: Deforestasi Hutan Hujan Tropis, Penutupan Lahan, Machine Learning, Random Forest, Classification And Regression Trees, Support Vector Machine
KAJIAN PEMANTAUAN PERUBAHAN PENUTUPAN LAHAN BERBASIS PENGINDERAAN JAUH DI KOTAWARINGIN BARAT Beni Iskandar; Nanang Hanafi; Rifqi Anshari
Jurnal Belantara Vol 5 No 2 (2022)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v5i2.866

Abstract

The first step in monitoring deforestation is to measure and identify land cover changes. Our research uses remote sensing technology, because it has advantages such as: cheap, transparent, fast and has measurable accuracy and temporal analysis. This study aims to identify, measure, and analyze trends in land cover change in 1990-2000, 2000-2012, and 2012-2021. The results showed that there were 18 land cover classes with details of 3 forest classes; and 15 non-forest classes; Forest class decreased throughout 1990 to 2021, the trend of changing forest cover was deforestation into plantations, swamp shrubs, dryland agriculture mixed with shrubs, and swamps. The rate of deforestation in 1990-2000 was 3.07%, deforestation in 2000-2012 was 3.02%, and deforestation in 2012-2021 was 1.02%. The accuracy of land cover classification is 91%. 
PENDAMPINGAN PEMETAAN DAN IDENTFIKASI EKOWISATA MENGGUNAKAN DRONE DI TAMAN DAN HUTAN WISATA (TAHETA) Beni Iskandar; Nanang Hanafi; Fitriadi Yusuf
AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 7 No. 1 (2023): Amaliah: Jurnal Pengabdian Kepada Masyarakat
Publisher : LP2M UMN AL WASHLIYAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32696/ajpkm.v7i1.1716

Abstract

Kelompok Tani Hutan (KTH) Palangkaraya Bertani Palangkaraya mengusulkan Taman dan Hutan Wisata (TAHETA) sebagai ekowisata yang berlokasi di Kelurahan Tumbang Tahai, Kecamatan Bukit Batu, Permasalahan yang dihadapi oleh KTH tidak memiliki peta ekowisata yang akan dikembangkan. Pengabdian ini bertujuan pendampingan pemetaan dan identifikasi ekowisata yang akan dikembangkan dengan memanfaatkan teknologi drone. Hasil dari pengabdian ini menunjukan hasil yang baik berdasarkan evaluasi post-test (83-100%) dan potensi ekowisata di TAHETA terdapat sekumpulan pohon durian dan kopi seluas 0.882 ha dan kebun karet 1.411 ha, selain itu juga terdapat lebah madu kelulut dan bebek seluas 0.011 ha, serta fasilitas dua gajebo. Pemanfaatan teknologi drone efektif dan efisien untuk memetakan dan mengidentifikasi potensi ekowisata.
Impact of Land Use Change on Land Capability in Katingan Regency, Central Kalimantan, Indonesia Beni Iskandar; Fathul Zannah; Rifqi Ansari
Journal of Geoscience, Engineering, Environment, and Technology Vol. 8 No. 3 (2023): JGEET Vol 08 No 03 : September (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2023.8.3.12423

Abstract

The imbalance between land use and land capability can cause environmental problems in Katingan Regency. This study aims to analyze changes in land use change for the 2015-2021 period, land capability, land cover suitability with land capability in Katingan Regency. This research uses the method of overlaying the 2015 and 2021 land cover maps, analyzing land capability with variables of erosion maps, flood maps, and aridity maps, and analyzing land suitability by overlapping land use maps and land capability maps. The results show that land use change is 67.864 ha with map accuracy KA = 90.6% and OA 81.1%, while the concentration of land use change in Malan Island District with an LQ value of 2.5. Land capability is divided into three with the limiting factors of erosion, flooding, and slope class, namely: class II, III, IV, VI, and VII which are designated as productive paddy fields, dry land agriculture, and agriculture mixed with shrubs. Land use change has an impact on land capability, namely the increase of unsuitable land by 23.050 ha. This research can provide important information for taking policies and strategies for optimizing land use at the site level in Katingan Regency in the future.
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.
Co-Authors Afifah Kiki Dwi Wulandari Ahmad Jauhari Ahmad Jauhari Ananda Putri, Ananda Ardiyansyah Purnama Dhymas Sulistyono Putro Djoko Eko Hadi Susilo Dwi Wulandari, Afifah Kiki Edo Setiawan Fathul Zannah Fitriadi Yusuf Hariyadi Hariyadi I Nengah Surati Jaya Ilham Solehcin Kurnia, Adib Ahmad Marcoleos, Shandy Maria Skolastika Sadha Meklie Muhammad Buce Saleh Nanang Hanafi Nathaneal, Laondry Nazla Paradisa Nazla Paradisa Nurul Hidayati Pienyani Rosawanti Pratama, Yogian Rifqi Ansari Rifqi Anshari Saidah Saiful Dahtiar Saijo Sari Marlina Suhenra Maulana