Article Per Year (5 Year)
p-Index From 2020 - 2025
2.33
P-Index
This Author published in this journals
All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management 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
Tatang Tiryana
Department Of Forest Management, Faculty Of Forestry, Bogor Agricultural University, Academic Ring Road, Campus IPB Dramaga, PO Box 168, Bogor, Indonesia 16680
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 26 Documents
Search

 1   2   3 
FORM FACTORS AND VOLUME MODELS FOR ESTIMATING TREE BOLE VOLUME OF MAHOGANY AT COMMUNITY FORESTS IN CENTRAL JAVA Tatang Tiryana; Lailatul Khasanah; Priyanto Priyanto; Sri Rahaju
Indonesian Journal of Forestry Research Vol. 8 No. 2 (2021): Indonesian Journal of Forestry Research
Publisher : APTKLHI

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 Hengki Siahaan; Adi Kunarso; Agus Sumadi; Purwanto Purwanto; Teddy Rusolono; Tatang Tiryana; Hendy Sumantri; Berthold Haasler
Indonesian Journal of Forestry Research Vol. 7 No. 1 (2020): Indonesian Journal of Forestry Research
Publisher : APTKLHI

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.
Allometric Models for Estimating Tree Biomass of Dryland Secondary Forest in East Halmahera Mujahidah Sylviari Zaenal Mujahidah; Tatang Tiryana Tatang; 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.
Model Development of the Forest Quality Assessment using Second-Order Confirmatory Factor Analysis Zulkarnain; Saleh, Muhammad Buce; Kuncahyo, Budi; Tiryana, Tatang; Puspaningsih, Nining
Jurnal Sylva Lestari Vol. 13 No. 2 (2025): 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.v13i2.1064

Abstract

Forest quality plays a crucial role in sustaining the functions of forest ecosystems. This study aims to develop a valid and reliable model for assessing forest quality through six dimensions: forest productivity, forest structure, soil factors, climatic conditions, topography, and anthropogenic factors. Vegetation data were collected from 138 sample plots using a stratified purposive sampling method. Soil, topography, and climate data were obtained from the SoilGrids, DEMNAS, CHIRPS, and NASA POWER websites, respectively. Anthropogenic data were derived from Sentinel-2 imagery. The forest quality assessment model was developed using confirmatory factor analysis (CFA). Results showed that forest structure, forest productivity, soil, and anthropogenic factors are valid and reliable in assessing forest quality, with forest productivity as the primary determinant. However, topographic and climatic factors were not valid for assessing forest quality due to the low variation in topographic and climatic data within the study area. The goodness-of-fit model evaluation indicated a good fit based on criteria including the chi-square, RMSEA, GFI, SRMR, AGFI, TLI, CFI, NFI, and CMIN/DF. Based on the relative weights of each dimension and indicator and using linear additive equations, a mathematical equation for the forest quality index is derived, providing a practical framework for assessing forest quality at the landscape scale, particularly in heterogeneous tropical ecosystems. Keywords: confirmatory factor analysis, forest quality assessment, Rawa Aopa Watumohai National Park, sustainable forest management
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.
Optimasi Distribusi Kayu Rakyat di Wilayah Kabupaten Ciamis Destyana, Muhammad Resta; Hardjanto; Tiryana, Tatang
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.
Co-Authors Adi Kunarso Agus Sumadi Angga Nalindo Utama Ani Suryani Ari Ardelina Berthold Haasler Bramasto Nugroho Budi Kuncahyo Cecep Kusmana Destyana, Muhammad Resta Dodik Ridho Nurrochmat Dudung Darusman Edi Mirmanto Endang Kintamani Erwin Kusumah Nanjaya Fairus Mulia Faridh Almuhayat Uhib Hamdani Fikry Awaludin Hardjanto Hendy Sumantri Hengki Siahaan I Nengah Surati Jaya Ichsan Suwandhi Irmanida Batubara Lailatul Khasanah Lailatul Khasanah LILIK BUDIPRASETYO Meti Ekayani Muhammad Buce Saleh Muhdin Muhdin Muhdin Muhdin Muhdin Muhdin Muhdin Muhdin Muhdin, Muhdin Mujahidah Sylviari Zaenal Mujahidah Sylviari Zaenal Mujahidah Nining Puspaningsih Nurdin Sulistiyono Priyanto Purwanto Purwanto Putu Ananta Wijaya Rahaju, Sri Robert Parulian Silalahi Syamsu Rijal Teddy Rusolono Tikaputra, Firman Zulkarnain