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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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Spatial Modeling for Determining Managerial Options for Structuring Productivity in KPH Bogor Ricca Rohani Hutauruk; Nining Puspaningsih; Muhammad Buce Saleh
Jurnal Manajemen Hutan Tropika Vol. 22 No. 3 (2016)
Publisher : Institut Pertanian Bogor (IPB University)

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KPH Bogor Ricca Rohani Hutauruk1, 2*, Nining Puspaningsih3, Muhammad Buce Saleh31Graduate School of  Bogor Agricultural University, Dramaga Main Road, Campus IPB Dramaga, Bogor,Indonesia 16680 2Trainer, Environment and Forestry Education and Training Bogor Agency,The Ministry of Environment and Forestry, Jl. Prada Samlawi Rumpin, Bogor, Indonesia 3Department of Forest Management, Faculty of Forestry, Bogor Agricultural University, Academic Ring Road,Campus IPB Dramaga, PO Box 168, Bogor, Indonesia 16680Received Agustus 23, 2016/Accepted October 20, 2016AbstractIn the past few years, forest management unit (KPH) Bogor has experienced many problems, technical, environmental and social, affecting the company's finances. This condition requires new breakthroughs in the form of managerial options in managing the forests of KPH Bogor. At present, KPH Bogor has formulated 12 managerial options. The purpose of this study is to build a spatial model in selecting managerial options at site level. The spatial models were built based on the score of each land unit which was obtained from expert judgment using an intensity scale, while weight was obtained using a pairwise comparison, resulting in the following equation: total score = 0.14 (0.06x1 + 0.11x2 + 0.09x3 + 0.08x4 + 0.10yx5 + 0.31x6 + 0.25x7) + 0.72 (0.08y1 + 0.22y2 +  0.46y3 + 0.13y4 + 0.12y5) +0.14 (0.45z1 + 0.05z2 + 0.44z3 + 0.06z4). The resulting total score was then divided into 5 classes using the equal interval method. The results for each of the managerial options were then aggregated using GIS to create KPH Bogor's management pattern. In areas where there was an overlap due to the similarity in options, a decision support system using neighboring similarity spatial analysis was used. This step allowed the spatial model to be built with many biophysical, social, and economic variables. This spatial model could map 12 types of managerial options at site level in the production structuring in KPH Bogor.
The Forest Resources Information System to Support Sustainable Forest Management: Case Study Perum Perhutani Ahsana Riska; Muhamad Buce Saleh; Hendrayanto Hendrayanto
Jurnal Manajemen Hutan Tropika Vol. 22 No. 3 (2016)
Publisher : Institut Pertanian Bogor (IPB University)

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Abstract

Forest resources information system aims to provide accurate and complete information periodically to support effective and efficient decision-making process. Perum Perhutani is the oldest state-owned enterprise for forestry in Indonesia. They have been developed sustainable forest management include the information system. Although forest resources information system already exists, forest quality decreases time by time. This research study aims to improve the effectiveness of forest resources information system in Perum Perhutani related to forest resources management. This study focused the observation on 1) mechanism and supporting variables of forest resources information system and 2) influence of forest resources information system on the decision-making process. Mechanism and supporting variables of forest resources information system show how is forest resources information system been working to support the decision-making process. The research was conducted by reviewing literature and depth interviewing with key informants. The results showed that the current forest resources information system could not support sustainable forest management in Perum Perhutani. This information system has weakness in data and information, procedures, technology, and user. Decision-making process highly adopts technocratic paradigm, centralized, and technically dominated by decision-maker preferences which give direct affect on information management at the site level. Forest management unit as a manager at the site level become information provider but have no authority to use information to decide management Keywords:
Optimization of Land Use Collaborative Management Model Perum Perhutani: Study Case KPH Pekalongan Barat Anugrah Andini Natsir; Muhamad Buce Saleh; Bahruni Bahruni
Jurnal Manajemen Hutan Tropika Vol. 23 No. 1 (2017)
Publisher : Institut Pertanian Bogor (IPB University)

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Perhutani is mandated to manage approximately 2,445,006 ha forest in Java consisting of a production forest area of 1,806,449 ha and protected forest area of 638 558 ha (Perhutani 2014). Perhutani working area consists of several units of governance in the form of Forest Management Units (KPH). Currently, 57 KPH Perhutani is experiencing various problems that the function of conservation isnot going well.  KPH Pekalongan Barat is one of the KPH which is considered quite good. It can be seen from the compliance percentage each year that reaches about 90%. The approach used in this research is 1) financial feasibility analysis, 2) land use optimization analysis, 3) multi-criteria analysis. The first analysis is financial feasibility analysis. The research's output based on the financial aspect performs that the feasibility criteria of investment of the three land use options are feasible to execute. The broad composition for optimal land use is an area covering 11,047 ha of pine, a coffee area of 2,126 ha and vegetable area 668 ha with an income of IDR872,581,112,943. According to multi-criteria analysis, the existing vegetable area is in an unfeasible area, so it can be durable.  
Possibility of Harnessing Social Capital to Support the Development of Payment for Environmental Services in Small-Scale Forests: A Case of Jatigede Catchment Area Nunung Parlinah; Bramasto Nugroho; Muhamad Buce Saleh; Hendrayanto Hendrayanto
Jurnal Manajemen Hutan Tropika Vol. 24 No. 2 (2018)
Publisher : Institut Pertanian Bogor (IPB University)

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The concept of social capital has gained attention as a source of support in implementing Payment for Environmental Services (PES). Environmental services, in the context of better water yields in watersheds, is affected by good land cover conditions of forests including small-scale private owned forests. Although some research results indicate that private owned forests are more economic oriented than environmental functions, but its existing social capital can be harnessed to implement PES in small-scale forests. The aim of this study was to analyze the potential of social capital as a source of support in the implementation of PES. The research was conducted by survey method. This research revealeds that the level of trust in local community leaders is very high. This role models can be an key entry point for realizing the PES scheme by strengthening the common knowledge of environmental benefits of small-scale forests and strengthen community norms related to the protection of water resources. Leadership and networking capabilities of the community institution leader give a real influence in collaboration between groups.
Optimization Pine Plantation Forest Management in Kediri FMU Regional Division II East Java Andrie Ridzki Prasetyo; Muhamad Buce Saleh; Sudarsono Soedomo
Jurnal Manajemen Hutan Tropika Vol. 23 No. 3 (2017)
Publisher : Institut Pertanian Bogor (IPB University)

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Pine forest management today has not already reached its optimal state. The abnormal pine stand structure will cause a decrease in the production of pine resin. This study aimed to determine the optimal rotation of pine plantation forest and formulated the harvest scheduling to ensured optimal resin production. The determination of optimal rotation was conducted by modifying the Faustman formula to be applied on the condition in forest management in Perhutani. Simulation optimization of harvest scheduling was conducted by linear programming. Optimal rotation of pine forest plantation consists of timber rotation and resin rotation. The highest net present value of timber was obtained at 25 year cycles and the highest net present value of the resin was obtained at 35 year cycles. The inclusion of resin benefit was resulting in lengthening the optimal rotation age. The abnormal stand structure was causing the fluctuations of pine resin production. Thus, the efforts to improve it was by applying the harvest scheduling framework. This study concluded that harvest scheduling which conducted over eight periods has made the abnormal stand structure into the normal forest condition. The existence of normal forest condition led to the certainty of pine resin production sustainability.
Spatial Modeling of Forest Cover Change in Kubu Raya Regency, West Kalimantan Hanifah Ikhsani; I Nengah Surati Jaya; Muhammad Buce Saleh
Jurnal Manajemen Hutan Tropika Vol. 24 No. 3 (2018)
Publisher : Institut Pertanian Bogor (IPB University)

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Forest cover change is one of the environmental issues that continually gotten an international attention. This study describes how to develop a spatial model of forest cover change in each village-based typology by considering various bio-physical and social-economic factors. The village typologies were investigated by applying the clustering analysis approach. The objective of this study was to develop the spatial model and to identify the driving forces of forest cover change by village in Kubu Raya Regency of West Kalimantan. Based on proportion of forest in 2015, the study found that there are two village typologies within the study area with 81% overall accuracy (OA). The typology 1 (T1) which has low forest cover change rate of 5001.8 Ha per year consisted of 56 villages, while the typology 2 (T2) which has high rate of forest cover change of about 8050.6 Ha per year covered 34 villages. The study also recognized that the most significant driving forces of forest cover change in T1 were distance from rivers (X2) and settlements (X3), whereas in T2 were distance from roads (X1) and the edge of forest in 2015 (X9). The best spatial model of forest cover change are Y = -0.01+0.0001X2+0.0004X3 with OA of 83% and mean deviation (SR) 10.5% for T1 and Y = 0.02+0.0001X1-0.0002X9with OA 53% and SR 13.3% for T2. The study concludes that the proximity from the center of the human activities hold a significant influence to the behavior of forest cover changes
The Examination of The Satellite Image-Based Growth Curve Model Within Mangrove Forest I Nengah Surati Jaya; Muhammad Buce Saleh; Dwi Noventasari; Nitya Ade Santi; Nanin Anggraini; Dewayany Sutrisno; Zhang Yuxing; Wang Xuenjun; Liu Qian
Jurnal Manajemen Hutan Tropika Vol. 25 No. 1 (2019)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.635 KB) | DOI: 10.7226/jtfm.25.1.44

Abstract

Developing growth curve for forest and environmental management is a crucial activity in forestry planning. This paper describes a proposed technique for developing a growth curve based on the SPOT 6 satellite imageries. The most critical step in developing a model is on pre-processing the images, particularly during performing the radiometric correction such as reducing the thin cloud. The pre-processing includes geometric correction, radiometric correction with image regression, and index calculation, while the processing technique include training area selection, growth curve development, and selection. The study found that the image regression offered good correction to the haze-distorted digital number. The corrected digital number was successfully implemented to evaluate the most accurate growth-curve for predicting mangrove. Of the four growth curve models, i.e., Standard classical, Richards, Gompertz, and Weibull models, it was found that the Richards is the most accurate model in predicting the mean annual increment and current annual increment. The study concluded that the growth curve model developed using high-resolution satellite image provides comparable accuracy compared to the terrestrial method. The model derived using remote sensing has about 9.16% standard of error, better than those from terrestrial data with 15.45% standard of error.
Evaluation of Tree Detection and Segmentation Algorithms in Peat Swamp Forest Based on LiDAR Point Clouds Data Irlan; Muhammad Buce Saleh; Lilik Budi Prasetyo; Yudi Setiawan
Jurnal Manajemen Hutan Tropika Vol. 26 No. 2 (2020)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.26.2.123

Abstract

Application of LiDAR for tree detection and tree canopy segmentation has been widely used in conifer plantation forest in temperate countries with high accuracy, however its application on tropical natural forest especially peat swamp forest hardly found. The objective of this study was evaluated algorithms of individual tree detection and canopy segmentation used LiDAR data in peat swamp forest. The algorithms included (a) Local Maxima (LM) with various variable window size combined with growing region, (b) LM with various variable window size combined with Voronoi Tessellation, (c) LM with various fixed window size combined with growing region, (d) LM with various fixed window size combined with Voronoi Tessellation, and (e) Tree Relative Distance algorithm. The results show that algorithm with the best accuracy was the Tree Relative Distance algorithm with the highest overall F-score of 0.63. The tree relative distance algorithm also provides the highest accuracy in determining three tree parameters which are position, height and diameter of tree canopy with a RMSE value 1.08 m, 6.45 m and 1.19 m, respectively.
Canopy Cover Estimation in Lowland Forest in South Sumatera, Using LiDAR and Landsat 8 OLI imagery Muhammad Buce Saleh; Rosima Wati Dewi; Lilik Budi Prasetyo; Nitya Ade Santi
Jurnal Manajemen Hutan Tropika Vol. 27 No. 1 (2021)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.27.1.50

Abstract

Canopy cover is one of the most important variables in ecology, hydrology, and forest management, and useful as a basis for defining forests. LiDAR is an active remote sensing method that provides the height information of an object in three-dimensional space. The method allows for the mapping of terrain, canopy height and cover. Its only setback is that it has to be integrated with Landsat to cover a large area. The main objective of this study is to generate the canopy cover estimation model using Landsat 8 OLI and LiDAR. Landsat 8 OLI vegetation indices and LiDAR-derived canopy cover estimation, through First Return Canopy Index (FRCI) method, were used to obtain a regression model. The performance of this model was then assessed using correlation, aggregate deviation, and raster display. Lastly, the best canopy cover estimation was obtained using equation, FRCI = 2.22 + 5.63Ln(NDVI), with R2 at 0.663, standard deviation at 0.161, correlation between actual and predicted value at 0.663, aggregate deviation at -0.182 and error at 56.10%.
Interpretasi Visual dan Digital untuk Klasifikasi Tutupan Lahan di Kabupaten Kuningan, Jawa Barat Dede Kosasih; Muhammad Buce Saleh; Lilik Budi Prasetyo
Jurnal Ilmu Pertanian Indonesia Vol. 24 No. 2 (2019): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.851 KB) | DOI: 10.18343/jipi.24.2.101

Abstract

Land cover information are needed to support decision making process on natural resource management. Remote sensing has been provideingr a huge distribution of geographical land cover information on various spatial scales. Landsat 8 OLI can be used on various applications and researches, including on land cover classification. Parameters used on land cover identification can be extracted from Landsat 8 OLI (Operational Land Imager). The research tried to explore land cover classification in Kuningan District by using two different classification methods, visual and digital maximum likelihood using Landsat 8 OLI acquired on August 5th2014. The main objectives of the research were to develop land cover map and assess the result accuracy on both different methods used. Confusion matrix using Overall accuracy and Kappa value was used as a reference on defining the accuracy. As a result, visual interpretation identified 10 land cover classes with Overall accuracy of 94.02% and Kappa value of 0.93. While digital maximum likelihood identified 10 land cover classes with Overall accuracy of 93.17% and Kappa value of 0.92.
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