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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management MEDIA KONSERVASI Forum Pasca Sarjana FORESTA BIOTROPIA - The Southeast Asian Journal of Tropical Biology TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknosains Jurnal Penelitian Hutan dan Konservasi Alam Jurnal Penelitian Hutan Tanaman Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) BERITA BIOLOGI JURNAL BIOLOGI INDONESIA MAJALAH ILMIAH GLOBE International Journal of Remote Sensing and Earth Sciences (IJReSES) Journal of Sylva Indonesiana Indonesian Journal of Electrical Engineering and Computer Science Jurnal Risalah Kebijakan Pertanian dan Lingkungan International Journal of Electronics and Communications Systems Aceh International Journal of Science and Technology Jurnal Penelitian Kehutanan Wallacea The International Journal of Remote Sensing and Earth Sciences (IJReSES)
I Nengah Surati Jaya
Department Of Forest Management, Faculty Of Forestry, Bogor Agricultural University, Academic Ring Road, Campus IPB Dramaga, PO Box 168, 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 Electrical & Electronics Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Veterinary

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Mortality and Ingrowth Pattern of Dipterocarps in Forest Recovery in East Kalimantan Susanty, Farida H.; Suhendang, Endang; Jaya, I Nengah Surati; Kusmana, Cecep
BIOTROPIA Vol. 22 No. 1 (2015): BIOTROPIA Vol. 22 No. 1 June 2015
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1239.552 KB) | DOI: 10.11598/btb.2015.22.1.297

Abstract

In primary and logged-over natural foresttrees conditions tree structure, mortality and ingrowth rates , the such as will vary according to the species characteristic. Quantitative management variables become very important to support yield regulation tools for achieving sustainable forest management. The objective was to determine studymortality and ingrowth rates to formulate biometric characteristic variability Dipterocarps forest in logged-over of forests based on time series The was Labanan, East Kalimantan Province. Permanent data.study sitelocated in measurement within -overwere located to represent three, i.e plots logged forest different logging techniques. a) reduced impact logging with diameter limit 50 cm (RIL 50); b RIL 60; c conventional logging; and d) primary forest ) ) as control Total plot permanent area was 48 ha and was measured periodically every 2 years within 17 years after .aboutlogging. For data analysis purpose, trees were divided into Dipterocarps and non-Dipterocarps. two major groups, i.e. Range of mortality rates for all species in logged-over forest were 2.5-29.3% per ha per 2 years which was close very to primary forest at year-5 after logging. While range of ingrowth rate for all species in logged-over forest were 1.3-21.3% per ha per 2 years which were higher than those for the primary forest within 17 years. The mortality and ingrowth rates fluctuation of Dipterocarps species group were different from those of non-Dipterocarps.
Restoration Priority Index Development of Degraded Tropical Forest Landscape in Batang Toru Watershed, North Sumatera Indonesia Samsuri, Samsuri; Jaya, I Nengah Surati; Kusmana, Cecep; Murtilaksono, Kukuh
BIOTROPIA Vol. 21 No. 2 (2014): BIOTROPIA Vol. 21 No. 2 December 2014
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.235 KB) | DOI: 10.11598/btb.2014.21.2.394

Abstract

Forest degradation has been important in the context of global issues since it contributes to the global climate change significanly.  Forest degradation of tropical rain forest area reduces global biological resources and has impact on occurence of poverty in community.  It also increases forest fragmentation and decreases forest connectivity as wildlife habitat.  To improve the connectivity, landscape restoration approach is used.  This paper describes the forest landscape restoration priority index to decide where the site gets restoration priority.  Restoration index is constructed by four factors indices that are index of forest degradation, forest connectivity, forest fragmentation, and socio economic of forest communities. Batang Toru forest landscape was getting pressure during the period 1989-2013.  Forest landscape fragmentation degree increased in the period 1989-2013, while the degree of connectivity tends to increase.  Forest connectivity index effects the restoration index more than other.  It implies that connectivity of Batang Toru forest landscape needs to be maintained and enhanced. It will provide proper habitat and reduce loss of biodiversity. Restoration index classifies Batang Toru forest landscape into low, medium and high priority for restoration. Sub-watershed of Sarula has high restoration index value so that it must be restored firstly.
Developing a Decision Tree Algorithm for Detecting Agroforestry and Monoculture Coffee Plantations Using Landsat 8 Imagery: A Case Study inBandung Regency, Indonesia Adhiguna, Agasta; Surati Jaya, I Nengah; Puspaningsih, Nining
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.1009

Abstract

Kopi arabika merupakan komoditas unggulan di Kabupaten Bandung, Provinsi Jawa Barat, Indonesia, yang memiliki potensi pengembangan yang besar dengan menggunakan sistem penanaman agroforestri. Oleh karena itu, penelitian ini bertujuan untuk mendeskripsikan pengembangan algoritma pohon keputusan dengan mengkombinasikan variabel spektral yang berasal dari citra Landsat 8 dan variabel sosio-geo-biofisik. Variabel yang dikaji meliputi citra sintetis dan faktor sosio-geo-fisik, seperti elevasi, kemiringan lereng, jarak dari jalan dan sungai, jarak dari permukiman, kepadatan penduduk, jarak dari desa, dan peta tutupan lahan yang ada. Algoritma decision tree machine learning (DTML) dikembangkan untuk mendeteksi distribusi spasial penanamn kopi agroforestri dan kopi monokultur di Kabupaten Bandung. Parameter pohon keputusan yang diuji untuk mengidentifikasi bobot masing-masing variabel adalah gain ratio, information gain, dan gini indeks. Sementara itu, metode brute force diterapkan untuk memilih variabel yang paling signifikan dalam model. Hasil penelitian menunjukkan bahwa variabel yang paling signifikan untuk mengidentifikasi agroforestry dan monokultur kopi adalah kombinasi dari variabel spektral, biogeofisik, dan tutupan lahan, dengan kriteria terbaik adalah information gain. Penggunaan peta penggunaan dan tutupan lahan yang ada merupakan variabel yang paling berpengaruh dalam model. Dalam konteks ini, akurasi keseluruhan (OA) yang diperoleh adalah 84,65%, dengan akurasi kappa (KA) sebesar 82,60%.
BIOMASS ESTIMATION MODEL FOR MANGROVE FOREST USING MEDIUM-RESOLUTION IMAGERIES IN BSN CO LTD CONCESSION AREA, WEST KALIMANTAN Sendi Yusandi; I Nengah Surati Jaya; Fairus Mulia
International Journal of Remote Sensing and Earth Sciences Vol. 15 No. 1 (2018)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2018.v15.a2683

Abstract

Mangrove forest is one of the forest ecosystem types that have the highest carbon stock in the tropics. Mangrove forests have a good assimilation capability with their environmental elements as well as on carbon sequestration. However, the availability of data and information on carbon storage, especially on tree biomass content of mangrove is still limited. Conventionally, an accurate estimation of biomass could be obtained from terrestrial measurements, but those methods are very costly and time-consuming. This study offered an alternative solution to overcome these limitations by using remote sensing technology, i.e. by using Landsat 8 and SPOT 5. The objective of this study is to formulate the biomass estimation model using medium resolution satellite imagery, as well as to develop a biomass distribution map based on the selected model. The study found that the NDVI of Landsat 8 and SPOT 5 have considerably high correlation coefficients with the standing biomass with a value of higher than 0.7071. On the basis of the values of aggregation deviation, mean deviation, bias, RMSE, χ², R², and s, the best model for estimating the mangrove stand biomass for Landsat 8 is B=0.00023404 e(20 NDVI) with the R² value of 77.1% and B=0.36+25.5 NDVI² with the R² value of 49.9% for SPOT 5. In general, the concession area of Bina Silva Nusa (BSN) Group (PT Kandelia Alam and PT Bina Ovivipari Semesta) have the potential of biomass ranging from 45 to 100 ton per ha.
Co-Authors Abdul Rosyid Adelia Juli Kardika Adhiguna, Agasta Agung Budi Cahyono Agung Budi Cahyono Agus P. Kartono Ahyar Gunawan Andry Indrawan Anita Zaitunah Anita Zaitunah Antonius B Wijanarto Antonius B Wijanarto Antonius B Wijanarto Bambang Hero Saharjo Bambang Sapto Pratomosunu Bejo Slamet Beni Iskandar Boedi Tjahjono Bramasto Nugroho Budi Kuncahyo Cecep Kusmana Dahlan Dahlan Dahlan Dahlan Darwo Darwo Darwo Darwo Dede Dirgahayu Dewayany Sutrisno Dewayany Sutrisno Diana Septriana Dito Cahya Renaldi Dito Cahya Renaldi Dwi Noventasari Dwi Putra Apriyanto Dwi Shanty Apriliani Gunadi Elias Elias Ema Kurnia ENDANG SUHENDANG Endang Suhendang Endang Suhendang Suhendang Endes Nurfilmarasa Dahlan Eva Achmad F Gunarwan Suratmo Fahmi Amhar Faid Abdul Manan Fairus Mulia Fairus Mulia Farida H. Susanty, Farida H. Farida Herry Susanty Farida Herry Susanty Florentina Sri Hardiyanti Purwadhi Hanifah Ikhsani Hardian, Dwika Hardjanto Hardjanto Hardjanto Hariaji Setiawan Haryo Tabah Wibisono Hasriani Muis Hendrayanto . Hendri Nurwanto Hermanu Triwidodo Herry Purnomo Herry Purnomo Hidayat Pawitan I Gusti Bagus Wiksuana Iin Arianti Imas Sukaesih Sitanggang Irdika Mansur Ismail HJ Hashim Israr Albar Ita Carolita Iwan Gunawan Jarunton Boonyanuphap Kartodihardjo, Hariadi Kukuh Murtilakono Kukuh Murtilaksono Kukuh Murtilaksono Kukuh Murtilaksono Kusnadi Lailan Syaufina LILIK BUDIPRASETYO Liu Qian Liu Qian Lukman Hakim Lukman Mulyanto M. Bismark Makin Basuki Marlina, Etty Moch. Anwar Muhammad Ardiansyah Muhammad Buce Saleh Muhammad Ikhwan Mulyaningrum Mulyaningrum Muzailin Affan Muzailin Affan N Nurhendra Naik Sinukaban Naik Sinukaban Nanin Anggraini Nining Puspaningsih Nitya Ade Santi Nitya Ade Santi Nitya Ade Santi Nitya Ade Santi Nobuyuki Abe Nurdin Sulistiyono Omo Rusdiana Oteng Haridjaja Oteng Haridjaja Patrich Phill Edrich Papilaya Pratiwi Pratiwi Pratiwi Pratiwi Purnama, Edwin Setia R Assyfa El Lestari Rahimahyuni Fatmi Noor'an Robert Parulian Silalahi Rudi Ichsan Ismail Samsuri Samsuri Samsuri Samsuri Samsuri, Samsuri Sendi Yusandi Sigit Nugroho Soedari Hardjoprajitno Sri Wahyuni Suria Darma Tarigan Susilawati Suyadi Suyadi Suyadi Suyadi Syamsu Rijal Tatang Tiryana Teddy Rusolono Tien Lastini Tien Lastini Tirta Negara Tirta Negara Tomi Yuwono Tomi Yuwono, Tomi Unik, Mitra Uus Saepul Mukarom Wang Xuenjun Wang Xuenjun Wibisono, Haryo Tabah Wibisono, Haryo Tabah Wibisono, Haryo Tabah Widi Atmaka Widyananto Basuki Aryono Wijanarto, Antonius B. Wijanarto, Antonius B. Yadi Setiadi YANTO SANTOSA Zhang Yuxing