Articles

METODE SURVEI KAYU RAKYAT BERDASARKAN KARAKTERISTIK SOSIAL EKONOMI DAN BIOFISIK KAWASAN: STUDI KASUS DI KABUPATEN BOGOR (SURVEY METHOD FOR TIMBER STAND OF PRIVATE FOREST BASED ON SOCIO-ECONOMICS AND BIOPHYSICAL CHARACTERISTICS: A CASE STUDY IN BOGOR DIS Lastini, Tien; Suhendang, Endang; Jaya, I Nengah Surati
Jurnal Manajemen Hutan Tropika Vol. 12 No. 1 (2006)
Publisher : Institut Pertanian Bogor (IPB University)

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The objective of this research is to determine the appropriate survey method for timber stand of private forest, based on its important characteristics. There were three methods used in this research, namely, method according to basic data i.e social-economics and biophysic data; method based on image, approached by vegetation transformacy using NDVI; and method based on integration of basic data and image. The result showed that basic data method is the best method for stratification of the village (desa), as a primary sampling unit of the private forest population (district). The second ones is basic data and image-integration method and last ones is image method.Keywords : basic data, coefficient of variation, image, NDVI, private forest, survey method, timber.
PENGGUNAAN TEKNOLOGI PENGINDERAAN JAUH SATELIT DAN SIG UNTUK MENENTUKAN LUAS HUTAN KOTA Lestari, R Assyfa El; Jaya, I Nengah Surati
Jurnal Manajemen Hutan Tropika Vol. 11 No. 2 (2005)
Publisher : Institut Pertanian Bogor (IPB University)

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This paper describes the use of satellite Remote Sensing Technology as well as Geographic Information System on determining the minimum coverage of urban forest. The study used the Oxygen demand approach of human, lifestock, industry as well as transpartotion vehicles for estimating the need of forest coverage. The existing urban forest coverage were derived from IKONOS and SPOT Satellite Imageries.The study found that the increase of the need for urban forest was dominantly affected by the significant increase of transportation verticles during the last 5 years. If the rates of the increase of population, lifestock as well as transportation vehicles does not change, the urban forest in Bogor city is only adequate up to the year 2015. This study recomends that an action should be made to anticipate the scarceness of clean air in Bogor City. The study also found that the central Bogor District has the lowest extent of urban forest.Key word:
THIS STUDY EXAMINED THE CAPABILITY OF HIGH-RESOLUTION IMAGERIES FOR IDENTIFYING TREE SPECIES. THE IKONOS AND CASI (COMPACT AIRBORNE SPECTROGRAPHIC IMAGER) DATA WERE EXAMINED TO DIGITALLY IDENTIFY 20 TREE SPECIES AND ESTIMATING STAND DENSITY. THE NUMERICAL TAXONOMY USING NEAREST NEIGHBOR HIERARCHICAL CLASSIFICATION METHOD WAS APPLIED TO CLUSTER THE SPECTRAL REFLECTANCE OF THOSE SPECIES OF INTEREST. ALTHOUGH THE PANCHROMATIC BAND OF IKONOS AND CASI HAVE THE SAME SPATIAL RESOLUTION, THE STUDY SHOWN Jaya, I Nengah Surati
Jurnal Manajemen Hutan Tropika Vol. 9 No. 2 (2003)
Publisher : Institut Pertanian Bogor (IPB University)

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This study examined the capability of high-resolution imageries for identifying tree species. The IKONOS and CASI (Compact Airborne Spectrographic Imager) data were examined to digitally identify 20 tree species and estimating stand density. The numerical taxonomy using nearest neighbor hierarchical classification method was applied to cluster the spectral reflectance of those species of interest. Although the panchromatic band of IKONOS and CASI have the same spatial resolution, the study shown that CASI provided better performance than IKONOS in discriminating 20 tree species of interest. The finer spectral and spatial resolution of CASI significantly improved the quantitative discrimination ability. Inversely, the IKONOS imagery was fail to digitally identify tree species. However, the study shows that both the IKONOS and CASI images are capable to be used to estimate the stand density. To get a better result of discriminating 20 species using CASI image, the number of bands hould be used more than eight bands. Otherwise, some "inseparable" class pairs could exist. Keywords: CASI, IKONOS, Separabilitas, Klaster
THIS PAPER DESCRIBES THE USE OF LANDSAT 7 ETM+ FOR EVALUATING LOGGED OVER STAND CONDITION. THE DIGITAL CLASSIFICATION AND SPATIAL ANALYSIS WERE PERFORMED TO IDENTITY DEGREE OF STAND DAMAGE AND THEIR SPATIAL DISTRIBUTION. THE STUDY FOUND THAT LANDSAT 7 ETM+ IMAGES WERE POWERFUL TO IDENTIFY LOGGED OVER STAND DAMAGE HAVING KAPPA AND OVERALL ACCURACIES MORE THAN 99%, AS WELL AS INTERCLASS SEPARABILITY MORE THAN 1900 (GOOD). THERE IS ALSO A SPATIAL RELATIONSHIP BETWEEN THE STAND DAMAGE AND DISTANCE F ., Susilawati; Jaya, I Nengah Surati
Jurnal Manajemen Hutan Tropika Vol. 9 No. 1 (2003)
Publisher : Institut Pertanian Bogor (IPB University)

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This paper describes the use of Landsat 7 ETM+ for evaluating logged over stand condition. The digital classification and spatial analysis were performed to identity degree of stand damage and their spatial distribution. The study found that Landsat 7 ETM+ images were powerful to identify logged over stand damage having Kappa and overall accuracies more than 99%, as well as interclass separability more than 1900 (good). There is also a spatial relationship between the stand damage and distance from the logging road.
PREDIKSI KEBUTUHAN HUTAN KOTA BERBASIS OKSIGEN DI KOTA PADANG, SUMATERA BARAT (PREDICTING OXYGEN-BASE URBAN FOREST NEEDS IN PADANG CITY, WEST SUMATERA) Septriana, Diana; Indrawan, Andry; Dahlan, Endes Nurfilmarasa; Jaya, I Nengah Surati
Jurnal Manajemen Hutan Tropika Vol. 10 No. 2 (2004)
Publisher : Institut Pertanian Bogor (IPB University)

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The study describes a method for predicting urban forest area in Padang City based upon oxygen needs. The result shows that the needs of urban forest in Padang City increase continously, mainly due to the increase of industries. Since the year 2002, the spatial analysis also found that the significant increase of the urban forest need occurred in Lubuk Kilangan disctrict, i.e., approximately 368,88 hectares per year. In the year 2020, the estimate needs of urban forest in all Padang City are 14,894.61 hectares. This need is approximately 53% of the area. Furthermore, the extent of urban forest is still sufficient for supplying oxigen up to the year 2020. However, it is also the spatial analysis shows that urban forest (vegetated area) are not evenly distributed in the centers of economic activities (e.g. settlement, industries, shopping centre, etc).Key words : urban forest, oxygen need, oxygen supplier, spatial analysis, predicting urban forest
STUDY ON COMMUNITY’S LAND ALLOCATION IN LONG PAHANGAI DISTRICT Renaldi, Dito Cahya; Jaya, I Nengah Surati; Rusdiana, Omo
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i3.pp564-571

Abstract

Land use allocation for community has been a crucial process for supporting the spatial allocation either at the regency or provincial level. This study was emphasized on the analysis of land allocation at the district level. The study applied a linear programming approach to optimize the land use in Long Pahangai District then linked with the spatial information. The optimization considered several factors, i.e., land productivity, the degree of erosion and the preference of the community living in the study area. To support the optimization, the availability of land use was determined by considering the land capability using the query tools in the Geographic Information System. The level of land capability applied five constraints, namely, slope, drainage, soil texture, effective depth and erosion. The study found that the optimal allocation of land use in the study area are primary forest of 6,635.11 ha (25.19%), secondary forest of 19,025.7 ha (71.9%), mixed plantation area of 289.61 ha (1.1%), settlement area of 8.3 ha (0.03%) and rice field of 487.35 ha (1.844%). This optimal allocation might increase the community income per capita by approximately 80% from 9,602,000.- to 17,275,171.-/capita/ha/year.  
INFORMATION REQUIRED FOR ESTIMATING THE INDICATOR OF FOREST RECLAMATION SUCCESS IN EX COAL-MINING AREA Muis, Hasriani; Jaya, I Nengah Surati; Saleh, Muhammad Buce; Murtilakono, Kukuh
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 1: July 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i1.pp182-193

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This paper describes how the information of the key indicators for assessing the degree of forest reclamation success in ex coal-mining area was identified. Those indicators were analyzed using the descriptive statistic as well as the discriminant analysis on the basis of biophysical data representing age class of vegetation after reclamation. The main objective of the study was to find out the predominant key indicator that determines the success of forest reclamation in ex coal-mining areas. This study found that the variance of basal area, green biomass and increment was relatively high between young plantation and old plantation. The study confirmed that the variation of the success of reclamation was strongly influenced by site quality. . The study concluded that the best indicators to be used for assessing the success of forest reclamation was the increment providing accuracy more than 79.6% either for indicator five or three classes.
ANALISIS SPASIAL DEGRADASI HUTAN DAN DEFORESTASI: STUDI KASUS DI PT. DUTA MAJU TIMBER, SUMATERA BARAT (SPATIAL ANALYSIS ON FOREST DEGRADATION AND DEFORESTATION : A CASE STUDY IN DUTA MAJU TIMBER, WEST SUMATERA) Mulyanto, Lukman; Jaya, I Nengah Surati
Jurnal Manajemen Hutan Tropika Vol. 10 No. 1 (2004)
Publisher : Institut Pertanian Bogor (IPB University)

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This study develops a predictive model on forest degradation and deforestation in Duta Maju Timber concession area West Sumatera during 1999 and 2002 period. The study found that the likelihoods of the forest degradation and deforestation are significantly affected respectively by distance from villages/settlement centers (X1), distance from rivers/streams (X3), distance from public road/logging roads (X2) and the age of logged over forest (X4). The probality of forest changes was negatively correlated with the distance from the villages and the age of logged over forest. While the rest variables (X3 and X2) are positively correlated. The best predictive model obtained for predicting forest degradation and deforestation was the logistic model (y  =(10-7,64).X4-23,565.X1-6,889 . X35,505. X23,712) having considerably high coefficient correlation.Keywords:  analisis spasial, pemodelan spasial, Landsat TM ETM, deteksi perubahan, degradasi hutan dan deforestasi.
GIS-BASED METHOD IN DEVELOPING WILDFIRE RISK MODEL (CASE STUDY IN SASAMBA, EAST KALIMANTAN, INDONESIA) Boonyanuphap, Jarunton; Suratmo, F Gunarwan; Jaya, I Nengah Surati; Amhar, Fahmi
Jurnal Manajemen Hutan Tropika Vol. 7 No. 2 (2001)
Publisher : Institut Pertanian Bogor (IPB University)

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Analisis pemetaan lengkap (Cemplete Mapping Analysis) yang berbasis sistem informasi geografis (SIG) digunakan untuk melakukan pembobotan terhadap nilai ?vulnerability? dari faktor-faktor resiko dalam rangka membangun suatu model dan memetakan kelas-kelas resiko kebakaran liar. Ada dua faktor utama, yaitu faktor lingkungan fisik dan aktifitas manusia yang sangat mempengaruhi terjadinya kebakaran hutan. Model yang ditemukan pada saat ini memperlihatkan bahwa kelembaban relatif adalah faktor terpenting diantara faktor lingkungan fisik, sementara jarak terhadap pusat-pusat pemukiman merupakan faktor terpenting diantara faktor aktifitas manusia. Diketahui juga bahwa, terjadinya kebakaran liar lebih banyak dipengaruhi oleh faktor aktifitas manusia daripada faktor lingkungan fisik. Pada studi ini, wilayah resiko kebakaran liar dibagi atas 3 kelas, dimana ditemukan bahwa kelas resiko kebakaran tertinggi mendominasi lokasi penelitian, selanjutnya diikuti dengan kelas resiko sedang dan rendah. Berdasarkan hasil verifikasi, model hanya berhasil menduga kelas resiko tinggi yaitu sebesar 76,05%, sementara gagal dalam menduga resiko kebakaran sedang dan rendah (lebih rendah dari 40%).
STUDY ON THE USE OF SMALL FORMAT NON-METRIC AERIAL PHOTOS FOR ESTABLISHING AERIAL TEAK STAND VOLUME TABLE (A CASE STUDY IN RANDUBLATUNG FOREST MANAGEMENT UNIT, PT.PERHUTANI UNIT I, CENTRAL JAVA) Cahyono, Agung Budi; Jaya, I Nengah Surati; Pratomosunu, Bambang Sapto
Jurnal Manajemen Hutan Tropika Vol. 7 No. 2 (2001)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (180.66 KB) | DOI: 10.7226/jtfm.7.2.%p

Abstract

Penelitian ini mengkaji tentang pemanfaatan foto udara non-metrik format kecil (SFNAP) guna menyusun tabel volume udara tegakan jati (aerial stand volume table of teak wood) di KPH Randublatung, Perum Perhutani Unit I, Jawa Tengah. Sebagai perbandingan, pengkajian terhadap penggunaan potret udara metrik konvensional (CAP) juga dilakukan. Hasil penelitian menunjukkan bahwa secara teknis SFNAP layak digunakan untuk mengestimasi potensi tegakan sebagaimana ditunjukkan oleh hasil tes statistik. Model terbaik untuk estimasi volume tegakan jati menggunakan SFNAP di lokasi penelitian adalah V = 52,4 ? 0,469 C (r2 = 76,2%), sedangkan model terbaik menggunakan CAP adalah V = 32,4 ? 0,246 C (r2 = 69,1%).
Co-Authors Abdul Rosyid Agung Budi Cahyono Agus P. Kartono Ahyar Gunawan Andry Indrawan Antonius B Wijanarto Aryono, Widyananto Basuki Atmaka, Widi Bambang Sapto Pratomosunu Bejo Slamet Boedi Tjahjono, Boedi Bramasto Nugroho Budi Kuncahyo CECEP KUSMANA Darwo Darwo Dede Dirgahayu Dewayany Sutrisno, Dewayany Diana Septriana Elias Elias Endang Pujiastuti Endang Suhendang Endang Suhendang Suhendang Endes Nurfilmarasa Dahlan Eva Achmad F Gunarwan Suratmo Fahmi Amhar Farida Herry Susanty Florentina Sri Hardiyanti Purwadhi, Florentina Sri Hardiyanti Gunadi, Dwi Shanty Apriliani Hanifah Ikhsani Hardjanto Hardjanto Hariadi Kartodihardjo Hariaji Setiawan, Hariaji Hendrayanto Hendrayanto Hendri Nurwanto HERMANU TRIWIDODO Herry Purnomo Hidayat Pawitan Iin Arianti Ismail HJ Hashim Ita Carolita, Ita Iwan Gunawan Jarunton Boonyanuphap Kardika, Adelia Juli Kukuh Murtilaksono Kurnia, Ema Lilik Budi Prasetyo Liu Qian Lukman Mulyanto M. Bismark M. Buce Saleh Marlina, Etty Moch. Anwar Muhammad Ardiansyah Muhammad Buce Saleh Muhammad Ikhwan, Muhammad Muis, Hasriani Mulia, Fairus Mulia, Fairus Mulyaningrum Mulyaningrum Murtilakono, Kukuh Naik Sinukaban Nanin Anggraini, Nanin Nining Puspaningsih Nobuyuki Abe Noor'an, Rahimahyuni Fatmi Noventasari, Dwi Nurdin Sulistiyono Nurhendra, N Omo Rusdiana Pratiwi Pratiwi Purnama, Edwin Setia R Assyfa El Lestari Renaldi, Dito Cahya Rudi Ichsan Ismail Samsuri Samsuri Santi, Nitya Ade Santi, Nitya Ade Sigit Nugroho Silalahi, Robert Parulian Soedari Hardjoprajitno Suria Darma Tarigan Susilawati . Suyadi Suyadi Syamsu Rijal Tatang Tiryana Tien Lastini Tomi Yuwono, Tomi Wibisono, Haryo Tabah Wibisono, Haryo Tabah Wibisono, Haryo Tabah Wijanarto, Antonius B. Wijanarto, Antonius B. Xuenjun, Wang xuenjun, wang Yadi Setiadi YANTO SANTOSA Yusandi, Sendi Yuxing, Zhang Yuxing, Zhang