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All Journal Jurnal Biologi Tropis MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Penelitian Kehutanan Bonita Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Wana Lstari
Pangestu, Agung Yoga
Program Studi Rekayasa Kehutanan, Fakultas Teknologi Industri, Institut Teknologi Sumatera, Lampung Selatan, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Education Environmental Science Immunology & microbiology Materials Science & Nanotechnology Social Sciences Other

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Pelatihan Penggunaan Sistem Informasi Pemantauan Kesehatan Hutan di KPH IX Kota Agung Utara Kabupaten Tanggamus Rahmat Safe'i; Hari Kaskoyo; Ferdy Ardiansyah; Agung Yoga Pangestu
DHARMA RAFLESIA Vol 20, No 1 (2022): JUNI (ACCREDITED SINTA 5)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/dr.v20i1.19270

Abstract

Pentingnya informasi mengenai kesehatan hutan sangat diperlukan untuk mengetahui gangguan yang terjadi, sehingga perlu dilakukan pemantauan kesehatan hutan secara berkala.  Pemantauan kesehatan hutan merupakan salah satu upaya dalam menjaga kelesatarian hutan.Pengabdian ini bertujuan meningkatkan keterampilan penggunaan Website Sistem Informasi Geografis (Web-SIG) Sistem informasi pemantauan kesehatan hutan (Simantan).  Sasaran pengabdian ini adalah pegawai Kesatuan Pengelolaan Hutan (KPH) IX Kota Agung Utara, Kabupaten Tanggamus. Tingkat pemahaman peserta perlu diketahui sehingga dilakukan evaluasi melalui dua tahap yaitu pre-test dan post-test dengan cara pemberian kuesioner.  Hasil perhitungan menunjukkan kondisi kesehatan hutan lindung pada areal kerja Kelompok Tani Hutan (KTH) Lestari Jaya 8 berkategori sedang.  Melalui pemberian kuesioner menunjukkan bahwa terjadi peningkatan pemahaman peserta tentang kesehatan hutan lindung sebesar 2%.  Rerata nilai pre-test dan post-test masing-masing sebesar 64% dan 66%.  Persentase kenaikan pengetahuan peserta dari hasil pre-test dan post-test adalah 3,12%.  Oleh karena itu Web-SIG Simantan merupakan media yang tepat untuk mempermudah pemantauan kondisi kesehatan hutan lindung.
Mangroves as Carbon Sequesterers: Diversity and Carbon Estimation Study in Pantai Mekar Village, Muara Gembong District, Bekasi Regency Amin, Septian Faris Al; Pangestu, Agung Yoga; Dharma, Yossi; Sari, Nurika Arum; Maulidia, Oktarina; Octaviani, Eti Artiningsih; Anita, Vilda Puji Dini; Hasibuan, Mhd Muhajir; Dimyati, Ahmad Iqbal Wahid; Rahmasari, Shinta Nur; Agus, Ferri; Salimah, Wardah
Jurnal Biologi Tropis Vol. 25 No. 1 (2025): Januari - Maret
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.v25i1.8618

Abstract

Mangrove forests are important for storing carbon dioxide (CO2) and reducing the effects of climate change. Indonesia possesses 20% of the global mangrove cover, which substantially impacts global climate mitigation efforts. However, understanding of the diversity of plant species in mangrove forests remains limited, as evidenced by the high rate of conversion of mangrove areas into aquaculture ponds, resulting in mangrove degradation. Our research in Pantai Mekar Village was conducted to augment information on mangrove plant species diversity in Indonesia, specifically in Bekasi Regency. Mangrove vegetation data were collected in Pantai Mekar Village, Muara Gembong, Bekasi from 8 to 12 July 2019. Data were collected using 2x2 m (seedlings and understory), 5x5 m (saplings), and 10x10 m (trees) plots. Importance value index (INP), Shannon-Wiener species diversity, evenness, richness, and carbon stock estimation were utilized to analyze the data. The study documented 21 species from 15 families. Species from the Acanthaceae family were predominant in the study site. Avicennia alba was the species with the largest biomass and carbon content. The estimated biomass contained in Mekar Beach is 380.42 tonnes/Ha with carbon sequestration of 190.21/Ha.
Forest Biomass Modeling Based on Landsat-8 Spectral Indices Using Google Earth Engine Pangestu, Agung Yoga; Al Amin, Septian Faris; Sari, Nurika Arum; Hasibuan, Mhd Muhajir
Jurnal Biologi Tropis Vol. 25 No. 4 (2025): Oktober-Desember
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.v25i4.10266

Abstract

Estimating forest biomass is essential for sustainable forest management and carbon monitoring. This study aimed to develop an aboveground biomass (AGB) estimation model by integrating multispectral Landsat-8 OLI imagery and field measurements in a 95.76 ha rehabilitation area near Rindam II Sriwijaya, Muara Enim, South Sumatra. Field data were collected using the National Forest Inventory Protocol, recording tree diameter and height to calculate AGB through species-specific allometric equations. Several vegetation indices (NDVI, EVI, SAVI, MSAVI, RVI, TVI, NDWI) were derived and analyzed on the Google Earth Engine (GEE) platform to identify the most responsive spectral indicator for biomass estimation.The analysis showed that AGB and carbon stocks varied across the rehabilitation site, reflecting differences in stand structure and vegetation moisture. Among all tested indices, NDWI demonstrated the highest correlation with AGB, indicating its effectiveness in capturing canopy water content and biomass variation under humid, mixed-vegetation conditions. These results emphasize the potential of GEE-based vegetation indices as a cost-efficient and replicable approach for monitoring biomass in tropical rehabilitation forests. NDWI proved to be the most suitable index for modeling forest biomass, offering a practical reference for applying similar remote sensing methods in other tropical regions to support large-scale forest carbon assessments
Evaluasi Usability pada Web GIS Pemantauan Kesehatan Hutan Menggunakan Metode System Usability Scale (SUS) Agung Yoga Pangestu; Rahmat Safe'i; Arief Darmawan; Hari Kaskoyo
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i1.709

Abstract

Pemantauan kesehatan hutan menjadi salah satu kriteria pada pengelolaan hutan yang lestari. Saat ini, data dan informasi mengenai persebaran lokasi dan hasil pemantauan kesehatan hutan dapat diketahui melalui Web GIS (Gheographic Information System) Pemantauan Kesehatan Hutan (Web GIS Simantan) yang masih dalam tahap pengembangan. Oleh karena itu, perlu dilakukan evaluasi untuk mengetahui kegunaaanya (usability). Penelitian ini dilakukan untuk mengetahui usability dari Web GIS Simantan menggunakan metode System Usability Scale (SUS) yang didalamnya terdiri dari 5 pertanyaan negatif dan 5 pertanyaan positif. Sebanyak 15 responden dilibatkan dalam penelitian ini yang berasal dari 33.33% atau setara 5 orang pegawai Balai Pengelolaan Daerah Aliran Sungai dan Hutan Lindung (BPDASHL) Way Seputih Way Sekampung, 33.33% pegawai Taman Hutan Raya (Tahura) Wan Abdul Rachman dan 33.33% Mahasiswa Kehutanan Unila. Hasil penelitian menunjukkan bahwa Web GIS Simantan memiliki nilai akhir System Usability Scale (SUS) sebesar 70,50. Dengan demikian, Web GIS Simantan memiliki acceptability ranges dengan kategori marginal high, grade scale dengan kategori D dan adjective rating dengan kategori good.
ASSESSMENT OF BIOMASS, CARBON STOCK, AND CO₂ SEQUESTRATIONIN THE ARBORETUM OF INSTITUT TEKNOLOGI SUMATERA Nurika Arum Sari; Fakhri Muhammad Fikri; Agung Yoga Pangestu; Diyanti IsnaniSiregar; Oktarina Maulidia
Jurnal Penelitian Kehutanan BONITA Vol. 8 No. 1 (2026): JUNI 2026
Publisher : Universitas Andi Djemma Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55285/wf8rvx69

Abstract

Global warming driven by rising greenhouse gas emissions has heightened the need to utilize green spaces as carbon sinks, one of which is the arboretum. This study aimed to determine the potential biomass, carbon stock, and CO₂ uptake of the vegetation in the Arboretum of Institut Teknologi Sumatera (Itera). A combination of destructive and non-destructive methods was applied across 12 plots representing three levels of vegetation density: high, medium, and low. The analysis covered biomass, carbon stock, and estimated CO₂ uptake. The results showed an average biomass of 50.51 tons/ha, a carbon stock of 23.74 tons/ha, and CO₂ uptake of 85.82 tons/ha. The highest values were found in the high-density vegetation area, which had a denser tree population. This study provides baseline carbon stock data for a developing campus arboretum in Sumatra, and concludes that, although the carbon stock of the Itera Arboretum remains lower than that of other arboreta, it nonetheless holds potential as a carbon sink that contributes to climate change mitigation. Practically, these results imply that arboretum management must prioritize intensive enrichment planting in low-density zones and establish permanent monitoring plots to optimize long-term carbon sequestration. 
Evaluasi Kesejahteraan dan Kesehatan Satwa Liar yang Diperdagangkan di Bandar Lampung Mhd Muhajir Hasibuan; Agung Yoga Pangestu; Oktarina Maulidia; Rizki Kurnia Tohir; Astri Aulia Suwanda; Dhinta Aurellia Sanjaya; Fajar Aditya Julyatmojo; Muhammad Hafidz; Ruben Josafat Sadatua Hutahaean; Yasyafri Evo
Wana Lestari Vol 6 No 2 (2024): Wana Lestari
Publisher : Program Studi Kehutanan, Fakultas Pertanian, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/wanalestari.v6i2.19908

Abstract

Indonesia known for its high biodiversity, is home to various species of wildlife, with 17% of the world's wild animals found in its territory. However, this wealth makes Indonesia one of the major suppliers of both legal and illegal wildlife trade, which threatens conservation efforts. This study aims to identify the potential of wildlife trade, health factors, and the welfare of traded animals. Conducted in Bandar Lampung in February 2022, the research employed direct observation through structured interviews with pet shop owners, as well as document studies. The findings indicate that despite a post-pandemic decline, wildlife trade in the region still holds significant potential. Health factors, such as mouth ulcers in pythons and metabolic diseases in geckos, pose major challenges, although adequate care is provided in these shops. Animal welfare remains a critical concern, as dependence on wild-caught animals from the wild threatens their sustainability. This study emphasizes the importance of implementing sustainable management practices and adhering to existing regulations to ensure the continuity of wildlife trade in Indonesia
Co-Authors Agus, Ferri Amin, Septian Faris Al Anita, Vilda Puji Dini Arief Darmawan Astri Aulia Suwanda Dharma, Yossi Dhinta Aurellia Sanjaya Dimyati, Ahmad Iqbal Wahid Diyanti IsnaniSiregar Eti Artiningsih Octaviani Fajar Aditya Julyatmojo Fakhri Muhammad Fikri Ferdy Ardiansyah Hari Kaskoyo Maulidia, Oktarina Mhd Muhajir Hasibuan Muhammad Hafidz Nurika Arum Sari Rahmasari, Shinta Nur Rahmat Safe'i Ruben Josafat Sadatua Hutahaean Salimah, Wardah sari, nurika arum Tohir, Rizki Kurnia Yasyafri Evo