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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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APLIKASI CITRAALOS PALSAR UNTUK PENDUGAAN SIMPANAN KARBON DI HUTAN TANAMAN AKASIA Qirom, Muhammad Abdul; Saleh, Muhammad Buce; Kuncahyo, Budi
Jurnal Penelitian Hutan Tanaman Vol 9, No 3 (2012): JURNAL PENELITIAN HUTAN TANAMAN
Publisher : Pusat Penelitian dan Pengembangan Peningkatan Produktivitas Hutan

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Abstract

ABSTRACTEstimation of carbon stock has direct limitations related to the speed of obtaining results, area coverage and high cost. Remote sensing can be used to estimate carbon stocks with an adequate level of accuracy. The objectives of this study are 1) to obtain the potential carbon storage of A. mangium, 2) to estimate model of carbon stocks based on a radar image (backscatter value of Alos Palsar), and 3) to map potential carbon stock distribution of A. mangium at PT. Inhutani II, South Kalimantan. The method used was a direct inventory of carbon stocks by making 69 measuring plots (0.1 ha area of each plot) spread across several age. The field inventory results were used to formulate a relationship with the polarization values of the Alos Palsar. The results showed that the potential surface carbon deposit varied from 32.03 to 46.10 tons/ha with an average value of 39.06 tons/ha. The total potential carbon stock per ha ranged from 35.48 to 51.01 tons/ha with an average of 43.24 tons/ha. The best allometric relationship between carbon stock and the polarization values HH and HV of the Alos Palsar image was Carbon Deposit = 292 + 2.00 HH2 + 27.1 HV with the R2  = 40.9%. Potential carbon storage based on Alos Palsar image ranged between 40 - 80 tons/ha. The result of Alos Palsar predicton is accurate so the technology can be used for measuring or monitoring of carbon stocks in plantation forest.ABSTRAKPendugaan persediaan karbon secara langsung mempunyai keterbatasan terkait dengan kecepatan memperoleh hasil, cakupan luasan yang terbatas dan biaya yang mahal. Penginderaan jarak jauh dapat dimanfaatkan untuk menduga persediaan karbon dengan akurasi yang cukup memadai. Tujuan penelitian ini yakni: 1) mendapatkan potensi simpanan karbon jenis A. mangium, 2) mendapatkan model penduga simpanan karbon berdasarkan citra Radar (nilai backscatter citra Alos Palsar), 3) mendapatkan peta sebaran potensi simpanan karbon jenis A. mangium di PT. Inhutani II, Kalimantan Selatan. Metode yang digunakan dengan melakukan inventarisasi persediaan karbon secara langsung yakni pembuatan plot pengukuran sebanyak 69 plot dengan luas masing-masing plot seluas 0,1 Ha tersebar pada beberapa umur. Hasil inventarisasi tersebut digunakan untuk membentuk hubungan dengan nilai polarisasi dari citra Alos Palsar. Hasil penelitian menunjukkan potensi simpanan karbon permukaan sebesar 32,03 - 46,10 ton/ha dengan rata-rata 39,06 ton/ha. Potensi simpanan karbon total per Ha berkisar antara 35,48 -51,01 ton/ha dengan rata-rata 43,24 ton/ha. Model alometrik terbaik hubungan antara simpanan karbon dan nilai polarisasi HH dan HV dari citra Alos Palsar adalah Simpanan karbon = 292 + 2,00 HH2 + 27,1 HV dengan koefisien determinasi sebesar 40,9%. Potensi sebaran simpanan karbon total terbesar berdasarkan aplikasi citra Alos Palsar yakni berkisar antara 40 - 80 ton/Ha. Penggunaan Alos Palsar untuk menduga simpanan karbon menghasilkan dugaan yang cukup akurat sehingga teknologi ini dapat digunakan untuk mengukur atau monitoring persediaan karbon pada tegakan hutan tanaman.
EVALUASI PENGGUNAAN BEBERAPA METODE PENDUGA BIOMASSA PADA JENIS Acacia mangium Wild Qirom, Muhammad Abdul; Saleh2, M. Buce; Kuncahyo, Budi
Jurnal Penelitian Hutan dan Konservasi Alam Vol 9, No 3 (2012): Jurnal Penelitian Hutan dan Konservasi Alam
Publisher : Pusat Penelitian dan Pengembangan Hutan

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Abstract

ABSTRAK Metode  pengukuran  biomasa  sangatlah  beragam  dengan  akurasi  dan  ketepatan  yang  berbeda-beda. Keakuratan dan  ketepatan metode  pengukuran tersebut perlu dibandingkan untuk  mendapatkan metode terbaik. Tujuan penelitian ini  adalah 1)  mendapatkan besarnya alokasi biomasa  masing-masing bagian tanaman, 2) mendapatkan nilai Biomass Expansion Factor (BEF) dan Root to Shoot Ratio (R) jenis Acacia mangium Willd., 3) mendapatkan persamaan alometrik biomasa masing-masing bagian tanaman, 4) mendapatkan  metode  terbaik  untuk  menduga  biomasa  di  hutan  tanaman  Acacia  mangium  Wild.  di Kalimantan Selatan. Pengambilan sampel pohon dilakukan secara destructive sebanyak 30 pohon contoh yang mewakili umur satu, dua, tiga, empat, lima, enam, delapan, dan sembilan tahun.  Berdasarkan pohon contoh tersebut didapatkan data biomasa, Biomass Expansion Factor dan Root to Shoot Ratio (R). Penyusunan model alometrik menggunakan model linear dan non linear. Hasil penelitian menunjukkan alokasi biomasa terbesar pada bagian batang (> 50%) dan ranting menyimpan biomasa terkecil Pada umur 1-9 tahun, besarnya BEF (Mg.m-3) berkisar antara 0,44-0,71 Mg.m-3 dan nilai BEF (Mg.) jenis Acacia mangiumWild. berkisar antara 1,06-1,80. Rata-rata nilai R yakni 0,16. Pada bagian permukan  tanah model alometrikterbaik yakniAGB = - 3.14 + 2.84 lnD dengan koefisien determinasi R2  98,6%. Metode penduga biomasaterbaik menggunakan BEF (Mg.Mg) per umur. Penggunaan metode ini membutuhkan persamaan alometrik penduga biomassa batang.
GEOSPATIAL DYNAMIC OF VEGETATION COVER CHANGES ON THE SMALL ISLANDS, SOUTH SULAWESI, INDONESIA AS, M. Akbar; Saleh, Buce; Sofian, Ibnu; Nurdin, Nurjannah
MAJALAH ILMIAH GLOBE Vol 16, No 1 (2014)
Publisher : Badan Informasi Geospasial

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Abstract

ABSTRACTAgreement on the extent of mangrove forest in Indonesia has yet existed. The extent of mangrove forest in Indonesia 9 years ago was about 4.13 million ha. Currently, the mangrove has decreased significantly to 2.49 million ha (60%). Remote sensing could play an important and effective role for assessing and monitoring the dynamic of mangrove forest cover. The aim of this study is to measure the changes of the mangrove cover within 20 years period from 1993 to 2013, from 1993 to 2003, and from 2003 to 2013 using multi-temporal Landsat data. The study site was selected in Tanakeke Island, Takalar District, South Sulawesi, Indonesia. Results of the analyses show that the mangrove forest has decreased and it is caused anthropogenic impact.Keywords: geospatial dynamic, mangrove, remote sensing, GISABSTRAKSejauh ini belum ada kesepakatan mengenai luas hutan mangrove di Indonesia. Luas hutan mangrove di Indonesia 9 tahun yang lalu adalah sekitar 4,13 juta ha, akan tetapi sekarang menurun menjadi 2,49 juta ha (60%). Penginderaan jauh memiliki peranan penting dan efektif untuk penilaian dan pemantauan dinamika tutupan hutan mangrove. Tujuan dari penelitian ini adalah untuk mengukur perubahan tutupan hutan mangrove selama 20 tahun dari tahun 1993-2013, 1993-2003, dan 2003-2013, dengan menggunakan citra Landsat multi-temporal. Lokasi penelitian dipilih di Pulau Tanakeke, Kabupaten Takalar, Sulawesi Selatan, Indonesia. Hasil analisis menunjukkan bahwa luas hutan mangrove mengalami penurunan yang disebabkan oleh pengaruh dari manusia.Kata Kunci: dinamika geospasial, mangrove, penginderaan jauh, SIG
Quick Tecniques in Indentifying Open Area by the Use of Multi Spatial and Multidate Imageries Ahyar Gunawan; I Nengah Surati Jaya; Muhammad Buce Saleh
Jurnal Manajemen Hutan Tropika Vol. 16 No. 2 (2010)
Publisher : Institut Pertanian Bogor (IPB University)

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This study describes the use of multitemporal principal component analysis (MPCA) and vegetation index differencing (VIDN) techniques in identifying open area on post-coal mining sites using multi spatial and multidate of Landsat TM and SPOT 4 XS imageries. The study revealed that the synthetic images derived from stable brightness, stable greenness,s and delta brightness of MPCA summarize information on post-coal-mining opened areas provided overall accuracy of 76.47% for the new ex mining area and 32.69% for old ex mining area. The VIDN method provided relatively lower accuracy than those from MPCA i.e. 58.87% for new ex mining and 13.25% for old ex-mining areas. The study also concluded that identifying open area on post-coal-mining sites using imageries was more efficient than using only ground survey, providing cost efficiency of 29%. Thisindicates that the cost required using satellite image is only 29% of the cost required for ground survey. The study concluded that MPCA is better than VIDN for identifying open area on post-coal-mining sites.
Deteksi Kondisi Hutan Paska Kebakaran Melalui Citra Multisensor MOS-MESSR dan Landsat TM: Studi Kasus di Areal PT. MHP Sumatera Selatan I Nengah Surati Jaya; Endang Pujiastuti; Muhammad Buce Saleh
Jurnal Manajemen Hutan Tropika Vol. 6 No. 2 (2000)
Publisher : Institut Pertanian Bogor (IPB University)

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This paper presents how the multisensor MOS-MESSR and Landsat Thematic Mapper (TM) should be manipulated as tools for detecting land cover changes. Radiometric correction using image regression was recognized as useful approach to adjust pixel brightness value of MOS-MESSR. In this study, the standardized MPC showed comparable accuracy, similar to DMC method. Using this technique forest changes due to fire as well as land clearing were well recognized. Some recommendations and suggestions for improving classification accuracy of change detection using multisensor MOS-MESSR and Landsat TM were drawn up from this study.
Practical Technique for Detecting Mangrove Vegetation Using Digital Mos Messr and Landsat-5 TM Images: A Case Study in Karawang Cape, West Java I Nengah Surati Jaya; M. Buce Saleh; Rudi Ichsan Ismail; Hendri Nurwanto; Cecep Kusmana; Nobuyuki Abe
Jurnal Manajemen Hutan Tropika Vol. 7 No. 1 (2001)
Publisher : Institut Pertanian Bogor (IPB University)

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Studi ini menerangkan bagaimana algoritme-algoritme indeks separabilitas dan akurasi klasifikasi seyogyanya diterapkan secara benar untuk mendeteksi obyek-obyek yang dikehendaki secara optimal. Studi ini menemukan bahwa akurasi Kappa dan kriteria Separabilitas (Transformed Divergence) harus digunakan secara simultan. Evaluasi dengan hanya menggunakan akurasi Kappa saja atau separabilitas saja akan memberikan hasil yang keliru. Algoritme-algoritme yang diterapkan diujicobakan pada data dijital MOS MESSR (Marine Observation Satellite Multispectral Self-Scanning Radiometer) dan Landsat TM (Thematic Mapper) untuk mendeteksi distribusi vegetasi mangrove. Studi ini memperlihatkan bahwa algoritme-algoritme yang diujicobakan pada MESSR dan TM berhasil mendeteksi distribusi mangrove secara baik, dengan akurasi pengguna (user accuracy) dan akurasi pembuat (producer’s accuracy) yang cukup tinggi berkisar antara 55% dan 100%.
Aggregation Methods for Assesing The Sustainability of Forest Management Retno Kuswandari; M. Ali Sharifi; M. Buce Saleh
Jurnal Manajemen Hutan Tropika Vol. 12 No. 2 (2006)
Publisher : Institut Pertanian Bogor (IPB University)

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Abstract

Kelestarian pengelolaan hutan merupakan konsep yang samar dan kompleks, oleh karena itu tidak ada satupun alat ukur yang dapat mengukurnya secara jelas. Sertifikasi hutan digunakan sebagai instrumen untuk mengukur kelestarian pengelolaan hutan yang didasarkan atas kelestarianproduksi, ekologi dan sosial. Kriteria dan Indikator (C & I) untuk kelestarian hutan alam produksi dalam sistem sertifikasi di Indonesia (Lembaga Ekolabel Indonesia) menggunakan Analytical Hierarchy Process (AHP) sebagai alat dalam proses pengambilan keputusannya. AHP telah lama dikritisi, antara lain karena pendekatan kompensatori menggunakan modellinier additive utilitas untuk mengintegrasikan -nilai baku. Riset ini bertujuan untuk menganalisa beberapa metoda aggregasi nilai baku sebagai alternatif untuk menilai kelestarian pengelolaan hutan. Fuzzy AHP dan Rule Base (Fuzzy Reasoning Method) dipelajari sebagai metode untuk mengatasi kekurangmampuan AHP dalam menangani secara tepat peubah-peubah linguistik. Data hasil proses penilaian sertifikasi Unit Pengelolaan Hutan Labanan, Kalimantan Timur,Indonesia digunakan untuk menilai kelestarian pengelolaan hutan dengan tiga metode tersebut. Hasil Fuzzy AHP dibanding dengan Normal AHP menunjukkan hasil yeng lebih jelas dan sudah menampung ketidakpastian justifikasi ekspert yang tidak terdapat dalam Normal AHP. Metode Rule Base, yang sangat tergantung kepada pengetahuan dan pengalaman ekspertnya, memberikan hasil yang lebih berarti dan transparan dalam proses penilaian dibanding kedua metode lainnya, yaitu Normal AHP dan Fuzzy AHP.Keywords:  SFM assessment, forest certification, fuzzy decision making, AHP, Fuzzy AHP, Fuzzy Rule Base
Biomass Estimation Using ALOS PALSAR for Identification of Lowland Forest Transition Ecosystem in Jambi Province Eva Achmad; I Nengah Surati Jaya; Muhammad Buce Saleh; Budi Kuncahyo
Jurnal Manajemen Hutan Tropika Vol. 19 No. 2 (2013)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1389.107 KB) | DOI: 10.7226/jtfm.19.2.145

Abstract

The accurate information derived from high accuracy of remote sensing imagery analyses coupled with field observation data are required to develop a sound forest management. The study is mainly emphasized on assessment of the capabilities of remote sensing imageries to identify ecosystem types within the transitional  ecosystem. Since, the predominant transition ecosystems found within the study area were secondary forest, rubber jungle, rubber, oil palm plantation, and also other land cover such as mixed plantation and shrubs,  therefore,  the models developed were focused for those ecosystem types.  Prior to any further analysis, this study was initiated  to develop the biomass estimation model using 50 m resolution of ALOS PALSAR image in transition ecosystem, Jambi Province. Biomass models were developed by analyzing the relationship between  backscatter magnitude and field biomass. Backscatter magnitude from 1 polarization images, namely HH,  HV, and one additional band of  ratio of HH/HV  were analyzed simultaneously with  field biomass. The best models established are AGB = 42,069 exp (0.510 HV) and AGB = 1,610 exp (-0.02 HV²) with R² of 52.3% and 50,8%, respectively. The models are then used to map out the biomass distribution within the transition ecosystem and to identify the factors affecting the magnitude of biomass content for all transition ecosystem types.
Spatial Model of Deforestation in Jambi Province for The Periode 1990–2011 Putu Ananta Wijaya; Muhammad Buce Saleh; Tatang Tiryana
Jurnal Manajemen Hutan Tropika Vol. 21 No. 3 (2015)
Publisher : Institut Pertanian Bogor (IPB University)

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Abstract

In the last 2 decades, deforestation had been an international issue due to its effect to climate change. This study describes a spatial modelling for predicting deforestation in Jambi Province. The main study objective was to find out the best spatial model for predicting deforestation by considering the spatial contexts. The main data used for the analysis were multitemporal Landsat TM images acquired in 1990, 2000, and 2011, the existing land cover maps published by the Ministry of Forestry, statistical data and ground truth.  Prior to any other analyses, all districts within the study area were classified into 2 typologies,  i.e., low-rate and high-rate deforestation districs on the basis of social and economic factors by using clustering approaches.  The spatial models of deforestation were developed by using least-square methods. The study found that the spatial model of deforestation for low-rate deforestation area  is Logit (Deforestation) = -2.7046 – 0.000397*JH90(distance from forest edge) + 0.000002*JJ(distance from road) – 0.000111*JKBN90 (distance from estate crop edge) + 0.000096 *JP90(distance from agricultural crop edge) + 0.044227*PDK90(population density) + 0.148187 *E(elevation) – 0.131178*S(slope); while for the high-speed deforestation area is Logit (Deforestation) = 9.1727 – 0.000788*JH90(distance from forest edge) – 0.000065 *JJ(distance from road) – 0.000091*JKBN90(distance from estate crop edge) + 0.000005 *JP90(distance from agricultural crop edge) – 0.070372*PDK90(population density) + 11.268539*E(elevation) – 1.495198*S(slope). The low-rate and high-rate deforestation models had relatively good ROC (Relative Operating Characteristics) values of 91.32% and 99.08%, respectively. The study concludes that the deforestation rate was significantly affected by accessibility (distance from forest edge, distance from estate crop edge, edge from agricultural land), biophysical condition (elevation and slope) as well as population density.  
Spatial Metrics of Deforestation in Kampar and Indragiri Hulu, Riau Province Syamsu Rijal; Muhammad Buce Saleh; I Nengah Surati Jaya; Tatang Tiryana
Jurnal Manajemen Hutan Tropika Vol. 22 No. 1 (2016)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.336 KB) | DOI: 10.7226/jtfm.22.1.24

Abstract

The Riau Province has been suffering from the highest deforestation rate in Sumatra, Indonesia. Many and various factors haved been discussed as causes of different deforestation types. This research is focused on evaluating the spatial pattern of deforestation in a specific location respresenting a typical deforestation in Riau. The main objective of this study was to identify spatial metrics to describe deforestation that occurred in Kampar and Indragiri Hulu regencies.The study divided the deforestation process into 3 periods of observation, e.g., 1990–2000, 2000–2010, and 2010–2014. The study based on Landsat satellite imagery aquired in 1990, 2000, 2010, and 2014 as the main data sources.  The deforestation  was detected using post-classification comparison (PCC) on the basis of 11 land cover classes developed prior to any further change detection.  The deforestation was initially derived from reclassifying the original classes into only forest and non-forest classes, and then followed by spatial pattern analysis using Fragstat software. The study shows that 2 spatial pattern of deforestation in Kampar distinctly differs from those occurred in Indragiri Hulu Regency, particularly for the period of 1990–2014. The spatial pattern of deforestation in Kampar Regency were clumped, low contiguous between patch, and high fragmentated. Meanwhile, the spatial pattern in Indragiri Hulu Regency were clumped, high contiguous between patch, and low fragmentated. Profile of deforestation in Kampar Regency was cathegorized into early deforestation and Indragiri Hulu Regency as lately deforestation.
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 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 Teddy Rusolono Umara Firman Rizidansyah Uus Saepul Mukarom Wang Xuenjun Wang Xuenjun Yudi Armanda Syahputra Yudi Setiawan Yudi Setiawan Zhang Yuxing Zulkarnain