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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Ilmu Pertanian Indonesia Jurnal Silvikultur Tropika (JST) MEDIA KONSERVASI Indonesian Journal of Geography Journal of Tropical Soils TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknosains Jurnal Kawistara : Jurnal Ilmiah Sosial dan Humaniora Jurnal Penelitian Hutan dan Konservasi Alam Jurnal Penelitian Hutan Tanaman BioWallacea Journal of Biological Research MAJALAH ILMIAH GLOBE Jurnal Penelitian Sosial dan Ekonomi Kehutanan Jurnal Penelitian Pengelolaan Daerah Aliran Sungai JURNAL METEOROLOGI DAN GEOFISIKA Indonesian Journal of Electrical Engineering and Computer Science Jurnal Sylva Lestari Jurnal Ilmu-Ilmu Kehutanan Aceh International Journal of Science and Technology Jurnal Penelitian Kehutanan Wallacea Jurnal Kawistara
Muhammad Buce Saleh
Departement Of Forest Management, Faculty Of Forestry And Environment, IPB University, Academic Ring Road, Campus IPB Dramaga, Bogor, Indonesia 16680
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Veterinary

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Model Spasial Deforestasi di KPHP Poigar, Provinsi Sulawesi Utara Afandi Ahmad; Muhammad Buce Saleh; Teddy Rusolono
Jurnal Penelitian Kehutanan Wallacea Vol. 5 No. 2 (2016)
Publisher : Foresty Faculty of Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1062.719 KB) | DOI: 10.18330/jwallacea.2016.vol5iss2pp159-169

Abstract

Forest is a part of the ecosystem that provides environmental services. Deforestation may decrease forest function in an ecosystem. This study aims to build a spatial model of deforestation in a forest management unit (FMU) of Poigar. Deforestation analysis carried out by analyze the change of forest cover into non-forest cover with post classification comparison technique. Driving forces of deforestation carried out by spatial modeling using binary logistic regression models (LRM). Result of logistic regression model was used to predict the deforestation in 2013 and compare the prediction result with actual deforestation. The result showed that forest loss from the 2000 to 2013 period amounted 12,668.2 hectares. Deforestation in FMU of Poigar influenced by six factors there are distance from the road, distance from the settlement, distance from the river, population density, elevation and slope. Logistic regression model was built using five explanatory variables that are the distance from the road, distance from the river, population density, elevation and slope. Population density and accessibility is the most influented factor caused deforestation in FMU of Poigar. Prediction of deforestation could predict about 58 % of actual deforestation spatialy, so spatial models of deforestation could be an information to guidance on future management of FMU of Poigar.
Canopy Density Estimation Model in Peat Swamp Forest Using LiDAR Data and Landsat 8 OLI Satellite Imagery Saleh, Muhammad Buce; Malta Daerangga; Prasetyo, Lilik Budi; Yudi Setiawan; Sahid Hudjimartsu; Wijayanto, Arif Kurnia
Media Konservasi Vol. 29 No. 2 (2024): Media Konservasi Vol 29 No 2 May 2024
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.29.2.249

Abstract

Canopy density is one of the important parameters in measuring the forest conditions. Canopy density can be estimated by using a remote sensing technology system. Light Detection and Ranging (LiDAR) is an active remote sensing system which uses a laser that is emitted by a sensor to the objects on the earth surface. For a wide area, image utilization which solely relies on LiDAR is still relatively expensive, so it is necessary to develop a method that combine LiDAR data with other medium resolution images such as Landsat 8 OLI imagery. Therefore, this research was conducted to obtain the canopy density estimation model from LiDAR and Landsat 8 OLI data. The results showed that the best estimation model at the study site, PT Global Alam Lestari's peat swamp forest was FRCI = - 0.0171 + 8.691 GRVI. The equation model had coefficient of determination (R²) of 50.2%, standard deviation value (s) of 0.101, aggregate deviation (SA) value of 0.459, and correlation coefficient (r) between the actual FRCI and the estimation FRCI (best model) of 0.503.
Examining the Use of the Watershed Algorithm for Segmenting Crown Closure on a Dry Land Forest Hardian, Dwika; I Nengah Surati Jaya; Muhammad Buce Saleh
Media Konservasi Vol. 29 No. 2 (2024): Media Konservasi Vol 29 No 2 May 2024
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.29.2.127

Abstract

This paper uses a watershed algorithm to detect canopy cover in dryland forests. The study at to determine the best parameters of the watershed segmentation algorithm to obtain information on crown closure from filtered and unfiltered high and very high-resolution images. The best performance of each parameter combination of tolerance value (T), mean value (M), and variance value (V), which is written as C:[T]-[M]-[V], is determined based on the level of accuracy. This study uses Pleiades-1B and SPOT-6 images as primary digital data. The results showed that the low-pass filtered Pleiades-1B image showed the best performance with a combination of parameters C6-MF:[10]-[0.7]-[0.3], had an overall accuracy (OA) of 91.0% and an accuracy Kappa (KA) by 83.2%. While the low-pass filtered Spot-6 image shows the combination of parameters C7-MF:[10]-[0.8]-[0.2], which has an accuracy of 90.6% OA and 65.4% KA. This study concludes that the filtered image with a low-pass filter always gives more accurate results than the original data (without filter), both for Pleiades-1B and SPOT-6 images. The very high spatial resolution provides better accuracy than the high spatial resolution
ANALISIS KELEMBAGAAN DAN PERANAN KESATUAN PENGELOLAAN HUTAN PRODUKSI (KPHP) DALAM PENGEMBANGAN WILAYAH KABUPATEN KERINCI Mika Lestaria; Setia Hadi; M. Buce Saleh
Jurnal Kawistara Vol 6, No 1 (2016)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/kawistara.15482

Abstract

Kerinci is one of regency with the large forest, but sub sector of forestry contributes only 0,04% of GDP Kerinci Regency. It’s may possibly by the weakness of forest management and policy of Kerinci Regency Government. Forest production management unit (KPHP) Model Kerinci establishment is one of goverment efforts to achieve sustainable forest management. Therefore, we need research with purpose: (1) to analyze the role of forest production management unit (KPHP) Model Kerinci in the regional development of Kerinci Regency; (2) to analyze the institutional of forest production management unit (KPHP) Model Kerinci; (3) to analyze region’s readiness forest production management unit (KPHP) Model Kerinci development. The study was conducted in Kerinci Regency. Data were analyzed by total economic value (TEV), institutional analysis, and analytical hierarchy process (AHP). The results showed that the total economic value of natural resources of KPHP Model Kerinci is Rp. 337.839.832.400 in a year, it’s mean that sub sector of forestry potentially to contribute about 8,38% of GDP Kerinci Regency. To realize the total economic values of natural resources of KPHP Model Kerinci, it needs strong institutions. Kerinci Regency is ready for KPHP Model Kerinci development, because it’s has the support from stakeholders.
Developing a Spatial Mathematical Model for Assessing the Rate of Natural Forest Changes Dahlan, Dahlan; Jaya, I Nengah Surati; Saleh, Muhammad Buce; Puspaningsih, Nining; Affan, Muzailin
Aceh International Journal of Science and Technology Vol 12, No 1 (2023): April 2023
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.12.1.31703

Abstract

Establishing a spatial mathematical model that uses diverse data types such as ratio data, interval data, and ordinal and nominal data is a challenge. This paper describes how the mathematical model of the rate of natural forest cover change was developed by considering the causes and/or driving forces that come from the society's biophysical and/or socioeconomic aspects. The main objective of this research is to establish a spatial mathematical model using the environmental and socioeconomic variables that play a significant role in determining the rate of natural forest cover change. From a number of variables considered in the analysis, coupled with any other reason, the rate of natural forest cover change (y), in units of ha per year), this study found that there are 10 potential variables, namely the proximity of the road (x4), the proximity of the river (x5), the proximity of the settlement (x6), proximity from the regency capital (x8), the proximity of the capital city of the district (x9), proximity of the edge of the forest in 2015 (x11), the proximity of the plantation area in 2009 (x12), the proximity of the plantation in 2015 (x13), slope class (x16), and elevation class (x17). The standardization process successfully transformed the non-ratio data type into a ratio data type. Using the standardized data, the study obtained spatially mathematical models that are reliable in estimating the rate of forest cover change, namely y = 0.017 + 0.00040x9 with SR of 17.3% and R2 is 88.0%. The study concludes that the most significant factor affecting the natural forest cover change in the study site is the proximity from sub-district capital (x9). Therefore, a spatial mathematical model can facilitate the government in monitoring forest cover.
PHYSICAL AND CHEMICAL CHARACTERISTICS OF SOIL IN THE SENTAJO PROTECTED FOREST, KUANTAN SINGINGI DISTRICT, RIAU PROVINCE Pebriandi; Omo Rusdiana; Muhamad Buce Saleh
Jurnal Ilmu Ilmu Kehutanan Vol. 5 No. 1 (2021)
Publisher : Jurusan Kehutanan Fakultas Pertanian Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jiik.5.1.1-6

Abstract

Forest is an ecosystem based on the complexity of its components. One of the components of a forest is soil. The importance of soil for human survival and growth for trees. In this ,research we analyzed the physical and chemical characteristics of soil in Sentajo Protected Forest. Soil samples were taken using composite and ring samples techniques. Soil samples were taken from five plot points measuring 20 m x 20 m in two depth level namely, 0-20 cm and 20-40 cm. mixed evenly to get one composite soil mixture. The results of research in Sentajo Protected Forest showed that the land in Sentajo Protected Forest was classified as acidic with a value of 3.68 - 4.34 with organic C content that is classified as low to high and a low KTK value. Moreover, the physical characteristics of the soil in Sentajo Protected Forest were more sandy texture. The values of moisture content, bulk density and porosity at a depth of 0 - 20 cm were higher when compared to a depth of 20 - 40 cm.
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
Identification and Evaluation of Potential Land Resources to Support the Development of Agricultural Commodities for Food Crops Zone Prasetya, Nurdiyanto Agung; Hikmatullah, .; Asisah, .; Saleh, Muhamad Buce; Tarigan, Suria Darma
JOURNAL OF TROPICAL SOILS Vol. 19 No. 1: January 2014
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2014.v19i1.53-61

Abstract

To support the goverment purpose to reach the food security, a land use study is needed. The aim of the research was  to provide  an  information  of  characteristics of  land  resources through the identification  and evaluation  of potential landresources and that suitable for food crops in Mamuju District South Sulawesi. The research method used landscape approach to mapping land units as the basis for preparing the soil map unit/DEM compared with field data survey. A case study was done in Mamuju District, West Sulawesi the results showed that the land in Mamuju for paddy covering was suitable enough of 115,250 ha and 54,883 ha of marginal fit, while for dryland crops were 106 978 ha was quite suitable and appropriate marginal was 82,592 ha. However, for cocoa fit enough land was 153,397 ha and corresponding marginal was 485,743 ha. Biophysical constraints were the erosion of land use/steep slopes, drainage, seasonal flooding, toxicity and nutrient retention. Direction of land use for agriculture in Mamuju for Rice crop area was 49,345 ha (6.23%), food crops rice and dry land was 10,680 ha (1.35%), dryland crops/crops was 101,785 ha (12.85%), perennial/Cocoa was 90,488 ha  (11.42%), and conservation land was 532,245 ha (67.18%).Keywords : Cland crops, land identification, soil evaluation [How to Cite: Nurdiyanto AP, Hikmatullah, Asisah, MB Saleh, and SD Tarigan. 2014. Identification and Evaluation of Potential Land Resources to Support the Development of Agricultural Commodities for Food Crops Zone. J Trop Soils 19: 53-61. Doi: 10.5400/jts.2014.19.1.53]   
Co-Authors . Asisah . HIKMATULLAH . Hikmatullah Afandi Ahmad Afandi Ahmad Agus Rudi Darmawan Ahsana Riska Ahyar Gunawan Andrie Ridzki Prasetyo Antonius B Wijanarto Antonius Bambang Wijanarto Anugrah Andini Natsir Arif Kurnia Wijayanto Asisah, . Bahruni . Beni Iskandar Bramasto Nugroho Budi Kuncahyo Budi Kuncahyo Dahlan Dahlan Dahlan Dahlan Dede Kosasih Deki Zulkarnain Dewayany Sutrisno Dewayany Sutrisno Dwi Noventasari Eva Achmad Faid Abdul Manan Fibo Adhitya Hanifah Ikhsani Hardian, Dwika Hasriani Muis Hendrayanto . Hendri Nurwanto I Gusti Bagus Wiksuana I Nengah Surati Jaya Ibnu Sofian, Ibnu Irlan Ita Carolita Kartodihardjo, Hariadi Kukuh Murtilakono LILIK BUDIPRASETYO Liu Qian Liu Qian M. Akbar AS, M. Akbar M. Ali Sharifi Malta Daerangga Mika Lestaria Muhamad Rizal Muhammad Abdul Qirom Muhammad Abdul Qirom Muzailin Affan Muzailin Affan Nanin Anggraini Nining Puspaningsih Nitya Ade Santi Nitya Ade Santi Nitya Ade Santi Nobuyuki Abe Nunung Parlinah Nunung Parlinah Nurdin, Nurjannah Nurdiyanto Agung Prasetya Nurwadjedi Nurwadjedi Omo Rusdiana Pebriandi, Pebriandi Prasetya, Nurdiyanto Agung Putu Ananta Wijaya Retno Kuswandari Ricca Rohani Hutauruk Rosima Wati Dewi Rudi Ichsan Ismail Sahid Hudjimartsu Setia Hadi Sigit Nugroho Soedomo, Sudarsono Sri Lestari Munajati Suria Darma Tarigan Syamsu Rijal Tatang Tiryana Teddy Rusolono Umara Firman Rizidansyah Uus Saepul Mukarom Wang Xuenjun Wang Xuenjun Yudi Armanda Syahputra Yudi Setiawan Yudi Setiawan Zhang Yuxing Zulkarnain