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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Forestry Research Jurnal Penelitian Hutan dan Konservasi Alam Jurnal Penelitian Hutan Tanaman Journal of Mathematical and Fundamental Sciences Jurnal Wasian BERITA BIOLOGI Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Biologi Tropis Indonesian Journal of Electrical Engineering and Computer Science Jurnal Risalah Kebijakan Pertanian dan Lingkungan Jurnal Ekonomi Jurnal Wasian Jurnal Sylva Lestari Policy Brief Pertanian, Kelautan, dan Biosains Tropika Indonesian Journal of Forestry Research Jurnal Wasian Biodiversitas Journal of Biological Diversity
Tatang Tiryana
Department Of Forest Management, Faculty Of Forestry And Environment, IPB University
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Monitoring Land Cover Change Using Change Vector Analysis (CVA) in Central Bengkulu Regency, Indonesia Tikaputra, Firman; Puspaningsih, Nining; Tiryana, Tatang
Jurnal Biologi Tropis Vol. 25 No. 3 (2025): Juli-September
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.v25i3.9724

Abstract

Monitoring land cover change is essential for sustainable spatial planning in regions undergoing rapid development. This study aimed to evaluate Land cover changes in Central Bengkulu Regency during the 2008–2024 period were analyzed using the Maximum Likelihood Classification (MLC) method, which identified nine land cover classes with moderately good accuracy (Overall Accuracy of 66.7% and Kappa coefficient of 61.3% for Landsat 5 imagery in 2008, and 58.0% OA and 50.1% Kappa in 2024). Significant land cover dynamics were observed, with notable increases in shrub and plantation areas, and substantial decreases in primary dryland forest, rice fields, and open land. Change Vector Analysis (CVA), combining NDVI and NDBI indices, proved effective in detecting both the magnitude and direction of land cover change. The largest change category was "Stable/Not Significant" (±65,000 ha), followed by "Rehabilitation/Recovery" (±24,700 ha), and "Urban Development" (±10,800 ha). These changes reflect the strong influence of socio-economic drivers such as population growth, land conversion for oil palm plantations, and settlement expansion, as well as ecological factors such as degradation and natural succession. The results indicate that the integrative approach of CVA and spectral indices can serve as a reliable spatio-temporal analysis tool to support spatial planning and sustainable land management policies, particularly in newly established regions vulnerable to land conversion.
Allometric Models for Estimating Tree Biomass of Dryland Secondary Forest in East Halmahera Mujahidah , Mujahidah Sylviari Zaenal; Tatang , Tatang Tiryana; Muhdin , Muhdin Muhdin
Jurnal Wasian Vol. 7 No. 2 (2020): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/4789vz68

Abstract

Biomass estimation of secondary forests is required to support the emission reduction of carbon dioxide through an enhancement of forest carbon stocks. Commonly, forest biomass is indirectly estimated using tree biomass allometric models that are developed based on a destructive sampling of sample trees. The availability of biomass allometric models for secondary forests in Indonesia is still limited, particularly for secondary forest ecosystems in eastern Indonesia. This study aimed to develop allometric biomass models for mixed-species trees in a secondary forest of East Halmahera, North Maluku, and to compare their accuracies with some other allometric biomass models that commonly used for estimating biomass of secondary forests. The tree biomass measurement was conducted by using a destructive sampling of 18 mixed-species trees (with diameter range of 5,4 – 36,9 cm) in a secondary forest. The samples of each tree component (stem, branch, twig, and leaf) were analyzed in a laboratory to determine the biomass of each sample tree. Allometric models were developed by using a non-linear regression analysis, which were then compared with other allometric models. This study revealed that the biomass of mixed-species trees in the study area could be estimated accurately using the M7 model that used diameter, height, and wood density variables. Such local allometric model was more accurate than other allometric models commonly used for estimating tropical forest biomass. Alternatively, the M3 model that used diameter and height variables could also be used when wood density data was not available. The local allometric models from this study can enrich the availability of biomass allometric models for secondary forest ecosystems in eastern Indonesia.
FORM FACTORS AND VOLUME MODELS FOR ESTIMATING TREE BOLE VOLUME OF MAHOGANY AT COMMUNITY FORESTS IN CENTRAL JAVA Tiryana, Tatang; Khasanah, Lailatul; Priyanto, Priyanto; Rahaju, Sri
Indonesian Journal of Forestry Research Vol. 8 No. 2 (2021): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2021.8.2.199-211

Abstract

Form factors and volume models are often be used in the estimation of tree volumes. However, a few studies have developed and evaluated the accuracy of form factors and volume models for estimating tree volumes of community forests. This study aimed to formulate form factors and volume models and assess their prediction accuracy for estimating tree bole volumes of mahogany at community forests in Central Java. This study used 120 sample trees with diameters of 6–38 cm to formulate artificial and absolute form factors and to develop tree bole volume models. These form factors coupled with bole height and total height were used in simple volume equations. Regression analyses were used to develop volume models using the diameter and total height as predictors. The simple volume equations and volume models' prediction accuracy was evaluated using a cross-validation dataset and independent dataset (30 sample trees). The artificial form factor (0.68 ± 0.11) of mahogany, which was higher than the absolute form factor (0.46 ± 0.09), provided accurate estimates of tree bole volumes when it was used with the bole height instead of the total height. The volume model that uses diameter and total height produced the most accurate estimates, while the volume model that uses diameter alone provided the most practical yet reliable tool for estimating tree bole volumes of mahogany. The results of this study are useful for improving community forest management.
CARBON LOSS AFFECTED BY FIRES ON VARIOUS FORESTS AND LAND TYPES IN SOUTH SUMATERA Siahaan, Hengki; Kunarso, Adi; Sumadi, Agus; Purwanto, Purwanto; Rusolono, Teddy; Tiryana, Tatang; Sumantri, Hendy; Haasler, Berthold
Indonesian Journal of Forestry Research Vol. 7 No. 1 (2020): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2020.7.1.15-25

Abstract

Forest and land fires are a high source of emissions in South Sumatera. In line with the national policy, South Sumatera Province commits in reducing emission, include emission from the forest and land fire. This research was aimed to assess carbon loss affected by fire in the year of 2015 that covered 3 districts in South Sumatera i.e Musi Banyuasin, Banyuasin, and Musi Rawas. The research was conducted by remeasurement of carbon stocks plots on 4 forests and land type i.e. secondary peat swamp forest, secondary dryland forest, bushes swamp, and forest plantation. Carbon stocks measuring are conducted on sample plots in a rectangular shape of 20 m x 50 m of size for various types of natural forest and a circle shape in the radius of 11.29 cm and 7.98 cm respectively for forest plantation of < 4 years and > 4 years old. Furthermore, carbon stocks in each plot are measured for 3 carbon pools of above-ground biomass, deadwood and litter. The result shows that carbon loss was varying on each forest and land type. The largest number of carbon loss occur on secondary peat swamp forest of 94.2 t/ha that equivalent to the emission of 345.4 t CO2eq. The second largest of carbon loss occur on secondary dryland forest of 36.3 t/ha following by forest plantation and bushes swamp of 18.5 t/ha and 13.5 t/ha.
Optimasi Distribusi Kayu Rakyat di Wilayah Kabupaten Ciamis Muhammad Resta Destyana; Hardjanto; Tatang Tiryana
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.11203

Abstract

Private timber distribution in Ciamis faces efficiency challenges due to high operational costs, limited spatial information, and middleman dominance in the supply chain. This study aims to (1) identify timber trade institutions, (2) determine spatially optimal distribution routes, and (3) design an efficient distribution model. Methods include institutional surveys, slope- and elevation-based spatial analysis, and Linear Programming optimization via Excel Solver. Results show that optimal routes combine high safety percentages (88.27% recommended routes) with minimal transportation costs. The optimization model increased profit by IDR 32.17 million/month while reducing operational costs by 1.45%. This integrated spatial-optimization approach enhances logistical efficiency and supports sustainable private forest management.
Decision-tree-based machine learning for detecting coffee agroforestry using SPOT-7 I Made Khrisna Yoga Devandra; I Nengah Surati Jaya; Tatang Tiryana
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 4: August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i4.27747

Abstract

This study develops a decision-tree-based machine-learning (ML) approach to identify coffee agroforestry plants using SPOT-7 satellite imagery. The algorithm was developed by examining the combination of image indices derived from SPOT-7 and biophysical variables. Detection using spectral variables is often hampered by spectral similarity between vegetation cover classes. This study found that a ML method that combines spectral and biophysical variables can significantly improve overall accuracy, from 60.4% (using conventional spectral variables alone) to 94% (using integrated spectral-biophysical variables). For detecting and identifying agroforestry coffee classes typically found under tree canopies, the addition of the “land cover” variable published by the Ministry of Environment and Forestry contributes significantly to the classification of agroforestry coffee. Important variables identified in this model are normalized difference vegetation index (NDVI), visible difference vegetation index (VDVI), normalized red-green vegetation index (NRGI), elevation, and land cover.
Mewujudkan Kelestarian Hasil Tegakan Merbau di Hutan Alam Indonesia Tatang Tiryana; Teddy Rusolono; Muhdin Muhdin
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol. 4 No. 3 (2022): Policy Brief Pertanian, Kelautan dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0403.268-271

Abstract

Untuk mewujudkan kelestarian hasil tegakan merbau diperlukan metode pengaturan hasil yang tepat. Namun sampai saat ini, pemerintah masih menggunakan metode pengaturan hasil yang bersifat umum untuk seluruh jenis tegakan, sehingga tidak cocok untuk tegakan merbau yang riapnya rendah dan populasinya jarang. Alternatifnya, pengaturan hasil tegakan merbau dapat menggunakan metode pengaturan hasil berbasis dinamika struktur tegakan. Metode tersebut dapat membantu pengelola hutan untuk menentukan jatah tebang tahunan dan merumuskan berbagai skenario pengaturan hasil sesuai dengan tujuan pengelolaan dan karakteristik tegakan merbau yang dikelolanya. Dalam implementasinya, metode tersebut dapat mendorong pengelola hutan untuk memperbaiki praktik praktik-praktik pengelolaan hutannya menjadi lebih baik.
Key variables for sustainable mangrove ecosystem management based on Scylla spp. in Banten Bay, Indonesia ADITYA RAHMAN KINTU NIHAN; CECEP KUSMANA; MAJARIANA KRISANTI; TATANG TIRYANA; YAYA IHYA ULUMUDDIN
Biodiversitas Journal of Biological Diversity Vol. 26 No. 5 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d260543

Abstract

Abstract. Nihan ARK, Kusmana C, Krisanti M, Tiryana T, Ulumuddin YI. 2025. Key variables for sustainable mangrove ecosystem management based on Scylla spp. in Banten Bay, Indonesia. Biodiversitas 26: 2467-2484. Mangrove forests are crucial ecosystems that significantly contribute to achieving several of the United Nations' Sustainable Development Goals (SDGs), particularly SDG 13 (Climate Action), SDG 14 (Life Below Water), and SDG 15 (Life on Land). These ecosystems provide vital services, including carbon sequestration and coastal protection, and are home to species such as Scylla spp., critical for fisheries and local biodiversity. Mangroves contribute significantly to climate change mitigation by sequestering carbon at rates that exceed those of some terrestrial forests while also protecting coastal areas from erosion and severe weather phenomena. Mangrove habitats also support local economies through fisheries, wood products, and ecotourism, which align with SDGs 8 (Decent Work and Economic Growth) and 12 (Responsible Consumption and Production). However, concerns such as overexploitation and progressive habitat destruction endanger these ecosystems. This study examines the key variables that influence the sustainable management of Scylla spp. populations in a mangrove ecosystem in Banten Bay, Indonesia. This study employed the Matrix of Crossed Impact Multiplications Applied to a Classification (MICMAC) technique to analyze the ecological, economic, social, and institutional factors influencing the management of mangrove ecosystems. The results underscore the importance of collaboration, education, community engagement, and a strong regulatory framework in securing the long-term viability of mangrove ecosystems. The study highlights that Scylla spp. has both ecological and economic significance, and sustainable management of this species can incentivize local people to participate in conservation initiatives. Linking conservation efforts to the economic benefits of Scylla spp. allows for the reconciliation of ecological integrity with community well-being. The study highlights critical areas of intervention that can be addressed to enhance coastal communities' environmental sustainability and socio-economic well-being. The study provides practical recommendations for policymakers and environmentalists to manage mangrove ecosystems sustainably.
Co-Authors Adi Kunarso Adi Kunarso, Adi ADITYA RAHMAN KINTU NIHAN Agus Sumadi Agus Sumadi Angga Nalindo Utama Ani Suryani Ari Ardelina Berthold Haasler Bramasto Nugroho Budi Kuncahyo Cecep Kusmana Dodik Ridho Nurrochmat Dudung Darusman Edi Mirmanto Endang Kintamani Erwin Kusumah Nanjaya Fairus Mulia Faridh Almuhayat Uhib Hamdani Fikry Awaludin Haasler, Berthold Hardjanto Hendy Sumantri Hengki Siahaan Hengki Siahaan I Made Khrisna Yoga Devandra I Nengah Surati Jaya Irmanida Batubara Khasanah, Lailatul Lailatul Khasanah LILIK BUDIPRASETYO Majariana Krisanti Meti Ekayani Muhammad Buce Saleh Muhammad Resta Destyana Muhdin Muhdin , Muhdin Muhdin Muhdin Muhdin Mujahidah , Mujahidah Sylviari Zaenal Mujahidah Sylviari Zaenal Nining Puspaningsih Nurdin Sulistiyono Priyanto Priyanto Priyanto Purwanto Purwanto Purwanto Purwanto Putu Ananta Wijaya Robert Parulian Silalahi Sri Rahaju Sumantri, Hendy Syamsu Rijal Tatang Tiryana Ani Suryani Cecep Kusmana Ichsan Suwandhi TIP Teddy Rusolono Tikaputra, Firman YAYA IHYA ULUMUDDIN Zulkarnain