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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; Muhdin Muhdin
Indonesian Journal of Forestry Research Vol 8, No 2 (2021): Indonesian Journal of Forestry Research
Publisher : Secretariat of Agency for Standardization of Environment and Forestry Instruments

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/ijfr.2021.8.2.199-211

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.

Vegetation-Water-Built Up Index Combined: Algorithm Indices Combination for Characterization and distribution of Mangrove Forest through Google Earth Engine : The spatial characteristics of Jakarta's urban mangroves Azelia Dwi Rahmawati; Rahmat Asy’Ari; Muhammad Aqbal Fathonah; Priyanto; Neviaty Putri Zamani; Rahmat Pramulya; Yudi Setiawan
CELEBES Agricultural Vol. 3 No. 1 (2022): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

Mangroves that live in ecotone areas have a fairly significant role in the economy and ecology. This strategic role requires spatial data to facilitate the management and development of mangrove areas. The mangrove mapping process usually uses a manual method, namely through software, and has shortcomings and limitations in image management that require massive data storage. Cloud computing-based Google Earth Engine (GEE) mapping platform can manage images with an extensive scope and spatiotemporal data processing. However, this platform requires index formulas or combinations to help classify and increase accuracy in mapping the earth’s surface. The innovation with the combined VWB-IC (Vegetation-Water-Built-up Index Combined) formula is projected to classify the characteristics of mangrove areas in Jakarta Bay. The combination consists of three types of indices, namely vegetation index (NDVI, GNDVI, ARVI, EVI, SLAVI, and SAVI), water (NDWI, MNDWI, and LSWI), and buildings (IBI and NDBI). This combination is used to translate the classification of mangroves using the Random Forest (RF) machine learning algorithm method with the Sentinel-2 MSI (Multispectral Instrument) satellite image source and through the GEE platform. This platform generates raster data for land use classification (including mangroves), and then the analysis is continued using ArcMap software. The obtained mangrove area is 220.43 ha, located in Jakarta Bay and divided into the Angke Kapuk Nature Tourism Park and the Pantai Indah Kapuk Mangrove Ecotourism Area. The data from this research is expected to provide a recommendation for a combination index formula for mapping mangrove areas in urban areas. The spatial distribution area can be used as an evaluation material in mangrove areas in Jakarta Bay

Cajeput Seedlings Endurances to Various Media Contaminated by Acid Mine Drainage Irdika Mansur; Aditya Rizkyandana; Priyanto Priyanto
Jurnal Silvikultur Tropika Vol 13 No 03 (2022): Jurnal Silvikutur Tropika
Publisher : Departemen Silvikultur, Fakultas Kehutanan dan Lingkungan, Institut Pertanian Bogor (IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j-siltrop.13.03.208-217

Cajeput (Melaleuca cajuputi) is widely used as a post-mining revegetation plant. The addition of organic matter to post-mining land can improve the physical, chemical, and biological conditions of the soil that lead on to increasing growth and endurance of cajeput in polluted land by acid mine drainage. This study aims to analyze the effect of compost mixture media and roasted husk mixture media to endurance and growth of cajeput seedling and also to analyze the effect of acid mine drainage concentration on the endurances of cajeput seedling on various media. This study used a completely randomized design with two factors consisting of acid mine drainage concentration and type of media. The results of this study indicate that the concentration of acid mine drainage has no significant effect on the growth of height, diameter, and number of leaves, also on total wet weight, total dry weight, moisture content, and root length while the type of media used has a significant effect on growth in height, diameter, and the number of leaves. Keywords: acid mine drainage, compost, Melaleuca cajuputi, roasted husk

Kelas Bahaya Serangan Rayap Tanah di Kota Bogor, Jawa Barat Arinana Arinana; Miftah Adhi Yuwono; Priyanto Priyanto
Jurnal Ilmu Lingkungan Vol 21, No 4 (2023): October 2023
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.21.4.1009-1020

Serangan rayap pada gedung dan bangunan di Kota Bogor sebagai salah satu kota besar merupakan ancaman yang serius mengingat angka kerugian yang ditimbulkan. Penelitian ini bertujuan mengetahui jenis dan sebaran rayap tanah, menganalisis hubungan antara karakteristik tanah dengan intensitas kerusakan dan frekuensi serangan rayap tanah, serta menentukan kelas bahaya serangan rayap di Kota Bogor. Penelitian dilakukan di 12 kelurahan di Kota Bogor yang dipilih secara acak. Setiap kelurahan ditanam 25 sampel kayu pinus (Pinus merkusii) selama tiga bulan dengan ukuran 2 cm x 2 cm x 46 cm (ASTM D 1758-06) sebagai kayu umpan yang sebelumnya telah diberi perlakuan tekanan uap air (105 ℃, 1 bar, 5 jam). Hasil penelitian menunjukkan bahwa spesies yang ditemukan di permukiman Kota Bogor terdapat tiga jenis yaitu Microtermes sp., Macrotermes sp., dan Schedorhinotermes sp. Rata-rata frekuensi serangan rayap tanah terhadap kayu umpan sebesar 70% (sangat tinggi) dan nilai intensitas serangan 6. Hasil analisis korelasi sederhana menunjukkan bahwa terdapat hubungan antara pH tanah dan kadar liat tanah dengan intensitas kerusakan masing-masing sebesar 23.7%. Kota Bogor memiliki rata-rata serangan rayap tanah yang tinggi. Luas kelas bahaya rendah ±3.74 km2, luas kelas bahaya sedang ±52.88 km2 dan luas kelas bahaya tinggi ±59.9 km2.

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

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.

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