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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management FORESTA Perfecting a Video Game with Game Metrics 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
I Nengah Surati Jaya
Departemen Manajemen Hutan, Fakultas Kehutanan, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Drone image-based parameters for assessing the vegetation condition the reclamation success in post-mining oil exploration Tirta Negara; I Nengah Surati Jaya; Cecep Kusmana; Irdika Mansur; Nitya Ade Santi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 1: February 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i1.16663

Abstract

This paper examines drone-based parameters for assessing the success of reclamation activities in post-mining oil-exploration area. The applied drone-based images were multispectral images having visible light and infrared wavelength regions with 5 cm spatial resolution. The main objective of the study is to develop a mathematical model to estimate a reclamation success, through development of success indices. The model were developed by analyzing the relationship between the vegetation success and the digital number values of original and/or synthetic images of drone-based images using 70 sample plots. The mathematical models were developed using a regression analysis, where responses are biomass, volume, and basal area, while the independent variables were original digital number value of images and their derivative synthetic images. The study found that there is a close relationship between parameter biomass stock (ton/ha) and basal area (cm) with both, i.e., original digital number and vegetation indices.
Quantitative approach for reclassification of the spatial cluster of archipelagos in Maluku Province for the basis of forest development Patrich Papilaya; Endang Suhendang; I Nengah Surati Jaya; Teddy Rusolono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 5: October 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i5.17041

Abstract

In natural resource management, it is necessary to group regions based on the similarity of their spatial and non-spatial characteristics, to efficiency and effectiveness Therefore, this study describes the re-grouping of the twelve island clusters established by the provincial government of Maluku into more homogeneous classes. The re-grouping was carried out based on the biophysical conditions of the regions, therefore, it could be used as the basis for determining the forest management units. The results showed that the twelve designated island clusters could be simplified to eight more homogeneous island clusters with 86.4% accuracy and 82.2 validation. It also showed that there were thirteen significant changes in the grouping of clusters of the island, including the horticultural crop area (Bf) and horticultural crop production (E). Moreover, when the island cluster is reclassified into 5 classes, the grouping would be more accurate, with 94.9% accuracy and 92.4% validation. This study concludes that there are two dominant factors in the classification of the island cluster in Maluku province namely, biophysical and social.
OPTIMALISASI PEMANFAATAN RUANG MASYARAKAT LOKAL PADA SEKTOR KEHUTANAN DI KALIMANTAN TIMUR Dito Cahya Renaldi; I. Nengah Surati Jaya; Omo Rusdiana
RISALAH KEBIJAKAN PERTANIAN DAN LINGKUNGAN Rumusan Kajian Strategis Bidang Pertanian dan Lingkungan Vol 2 No 2 (2015): Agustus
Publisher : Pusat Studi Pembangunan Pertanian dan Pedesaan (PSP3)

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Abstract

Masyarakat lokal memiliki akuntabilitas dan komitmen mengelola sumberdaya dengan pemanfaatan adaptif melalui kearifan lokal. Masyarakat yang hidup didalam hutan memiliki kearifan lokal dalam memanfaatkan lahan hutan khususnya penataan ruang. Pendekatan dalam pemanfaatan ruang yang optimal menggunakan metode query yang tersedia dalam software Arcgis. Metode query merupakan proses analisis yang dilakukan secara tabular karena dapat menyajikan informasi yang lebih spesifik. Dari hasil identifikasi tidak terdapat lahan kelas I. Kelas kemampuan lahan terdiri atas 6 kelas, yaitu kelas II, III, IV, VI, VII, dan VIII. Selain itu penelitiaan ini menggambarkan tentang status daya dukung wilayah berdasarkan pendekatan kebutuhan kalori, kebutuhan fisik minimum serta berdasarkan kebutuhan hidup layak. Daya dukung lahan berdasarkan kebutuhan kalori adalah sebanyak 613 orang/ha/tahun, berdasarkan kebutuhan fisik minimum adalah 5 orang/ha/tahun dan berdasarkan kebutuhan hidup layak adalah 3 orang/ha/tahun. Sehingga daya dukung berdasarkan kebutuhan hidup layak sangat baik. Berdasarkan peruntukkan kawasan hutan dan kemampuan lahan, terdapat 41.037,86 hektar atau 16,03 % dari wilayah adat Kecamatan Long Pahangai yang dapat dijadikan sebagai lahan budidaya berupa pertanian intensif, perkebunan, hutan desa, hutan kemasyarakatan dan hutan tanaman rakyat sedangkan terdapat 212.332.06 hektar atau 82,94 dari wilayah adat Kecamatan Long Pahangai yang dapat dipertahankan fungsinya sebagai kawasan lindung tetapi juga dapat dimanfaatkan hasil hutan bukan kayunya secara terbatas dengan bentuk konservasi.
MODEL PENDUGA MASSA KARBON HUTAN RAWA GAMBUT MENGGUNAKAN CITRAALOS PALSAR Tomi Yuwono; I Nengah Surati Jaya; Elias Elias
Jurnal Penelitian Hutan dan Konservasi Alam Vol 12, No 1 (2015): Jurnal Penelitian Hutan dan Konservasi Alam
Publisher : Pusat Penelitian dan Pengembangan Hutan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jphka.2015.12.1.45-58

Abstract

Hutan rawa gambut telah diakui sebagai ekosistem yang mampu menyimpan karbon hingga jumlah besar. Riset ini membahas pengembangan model estimasi massa karbon menggunakan data penginderaan jauh aktif. Tujuan penelitian ini adalah  mendapatkan informasi hasil untuk pengembangan  model estimasi volume massa karbon dengan menggunakan penginderaan jauh aktif, data ALOS PALSAR. Model dikembangkan atas dasar hubungan antara massa karbon rata-rata dan nilai backscatter ALOS PALSAR dari HH, HV dan band sintetik  HH/HV yang berasal dari berbagai ukuran pixel, yaitu : (a) 1 x 1 pixel, (b) 3 x 3 pixel dan (c) 5 x 5 pixel. Studi ini menemukan bahwa koefisien korelasi yang baik ditunjukkan antara nilai backscatter dan stok karbon. Penelitian ini juga menunjukkan bahwa korelasi terbaik diberikan oleh HV, korelasi tersebut lebih   baik   daripada   korelasi   yang   diperoleh   dengan   menggunakan   HH   dan   HH/HV.   Studi   ini mengidentifikasi model terbaik, yaitu ŷ = -5,337HV2– 111,8HV – 480,1;  R²=0,86 dan 3 x 3 pixel
KERAGAAN HUTAN DIPTEROCARPACEAE DENGAN PENDEKATAN MODEL STRUKTUR TEGAKAN Farida Herry Susanty; Endang Suhendang; I Nengah Surati Jaya; Cecep Kusmana
Jurnal Penelitian Hutan Tanaman Vol 10, No 4 (2013): JURNAL PENELITIAN HUTAN TANAMAN
Publisher : Pusat Penelitian dan Pengembangan Hutan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jpht.2013.10.4.185-199

Abstract

Ragam kondisi hutan menunjukkan perbedaan struktur, komposisi jenis dan nilai potensi serta variasi kerapatan tegakan. Kebutuhan dan peran penting model struktur tegakan dalam pengelolaan hutan terutama dalam pengaturan hasil menjadi tuntutan penyediaan perangkat kuantitatif untuk berbagai variasi kondisi hutan Dipterocarpaceae di Indonesia. Tujuan penelitian adalah menentukan model struktur tegakan hutan Dipterocarpaceae hutan bekas tebangan berdasarkan data runtun waktu. Penelitian dilaksanakan di hutan penelitian Labanan Kabupaten Berau Propinsi Kalimantan Timur. Data diperoleh dari hasil pengukuran plot permanen pada hutan alam bekas tebangan dengan tiga teknik penebangan yang berbeda yaitu (a) penebangan ramah lingkungan dengan limit diameter 50 cm (RIL 50), (b) RIL 60, (c) teknik konvensional dan (d) hutan primer sebagai kontrol. Total luas plot permanen adalah 48 Ha. Penentuan model struktur tegakan terbaik berdasarkan fungsi kemungkinan maksimum famili sebaran yang dicobakan meliputi fungsi eksponensial, gamma, lognormal dan Weibull. Hasil penelitian menunjukkan bahwa berdasarkan kerapatan dan bidang dasar tegakan, tingkat pemulihan tegakan sekitar 85%tercapai pada jangka waktu 17 tahun setelah penebangan dengan teknik penebangan yang berbeda. Fungsi famili sebaran terpilih yang sesuai untuk kelompok jenis Shorea spp, Dipterocarpaceae non Shorea, Non Dipterocarpaceae dan semua jenis adalah berbentuk lognormal.
KUANTIFIKASI KUALITAS TEMPAT TUMBUH DAN PRODUKTIVITAS TEGAKAN UNTUK HUTAN TANAMAN EUKALIPTUS DI KABUPATEN SIMALUNGUN, SUMATERA UTARA Darwo Darwo; Endang Suhendang Suhendang; I Nengah Surati Jaya; herry purnomo; Pratiwi Pratiwi
Jurnal Penelitian Hutan Tanaman Vol 9, No 2 (2012): JURNAL PENELITIAN HUTAN TANAMAN
Publisher : Pusat Penelitian dan Pengembangan Hutan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.524 KB) | DOI: 10.20886/jpht.2012.9.2.83-93

Abstract

Keragaman kualitas tempat tumbuh di hutan tanaman eukaliptus telah menimbulkan produksi kayu yang berfluktuasi. Untuk itu, perlu dilakukan pengelompokan kualitas tempat tumbuh. Tujuan penelitian adalah menentukan daur volume maksimum, model indeks tempat tumbuh, kelas kualitas tempat tumbuh, dan tingkat pertumbuhan dan hasil tegakan untuk masing-masing kelas kualitas tempat tumbuh hutan tanaman eukaliptus. Data dihimpun dari 343 petak contoh permanen. Bentuk plot lingkaran dengan berjari-jari 11,28 m (luas 0,02 ha). Karakteristik tegakan dianalisis menggunakan regresi yang ditransformsikan ke logaritmik dan dilakukan pengelompokan kualitas tempat tumbuh.  Hasil analisis diperoleh daur volume maksimum adalah 8 (delapan) tahun, sehingga umur indeks tempat tumbuh 8 (delapan) tahun dengan rata-rata volume tegakan 249,34 m3/ha dan riap tahunan rata-rata 31,17 m3/ha/tahun. Model indeks tempat tumbuh (S) adalah log S = log Oh + 0,69441(A-1– 8-1), dimana; Oh = peninggi (m), A = umur tegakan (tahun), dan 8 = umur indeks tempat tumbuh 8 (delapan) tahun. Indeks tempat tumbuh tersebut dikelompokan menjadi 4 (empat) kelas kualitas tempat tumbuh (bonita).  Riap tahunan rata-rata di bonita I, II, III, dan IV berturut-turut adalah 20,95 m3/ha/tahun, 32,40 m3/ha/tahun, 37,15 m3/ha/tahun, dan 40,25 m3/ha/tahun. Rata-rata volume tegakan di bonita I, II, III, IV berturut-turut adalah 167,58 m3/ha, 259,17 m3/ha. 297,17 m3/ha, dan 321,98 m3/ha.
KAJIAN METODE DETEKSI DEGRADASI HUTAN MENGGUNAKAN CITRA SATELIT LANDSAT DI HUTAN LAHAN KERING TAMAN NASIONAL HALIMUN SALAK Sigit Nugroho; I Nengah Surati Jaya; M. Buce Saleh; Antonius B Wijanarto
Jurnal Teknosains Vol 1, No 1 (2011): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.3988

Abstract

The study examined detection method of forest degradation using forest canopy density (FCD), maximum likelihood, fuzzy and belief dempster shafer classification method. Accuracy evaluation of classification and detection were based on overall accuracy which obtained from 51 ground sample plot. Canopy density, LAI, crown indicator, trees density and basal area (Lbds) were conducted   as field indicators. Accuracy of classification among forest density (trees/Ha) with four classification methods were FCD 61%, maximum likelihood 57%, fuzzy 51% and belief dempster shafer 49%. Based on temporal detection accuracy from 2003 until 2008, FCD had overall accuracy 68 %.  The result of research, FCD  is  the best method to detect of forest degradation.    
Study on the Potential of Inundation area by tsunami in Ciamis Coastal of West Java Anita Zaitunah; Cecep Kusmana; I Nengah Surati Jaya; Oteng Haridjaja
FORESTA Vol 1, No 1 (2012): MARET
Publisher : FORESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.584 KB)

Abstract

Indonesia has experienced many earthquakes and tsunamis. Tsunamis had caused heavy destruction and deaths. The aim of the study is to find out spatially the potential of inundation area by tsunami. GIS analysis was conducted using Arcview software to obtain an elevation map and the potential of inundation area caused by tsunami. The run up of 7.5 m flooded 4% from whole study area. When the run up was 7,5 m, some areas were flooded reaching 200 m from the coast and there were also some points going further to 1 km. The information on the distance and extent of inundation from by tsunami can become an input on potential areas flooded by water and having destruction.Key words : tsunami, inundation, coastal area, West Java
Spatial Model of Land and Forest Fire Risk Index, Case Study in Central Kalimantan Province Samsuri Samsuri; I Nengah Surati Jaya; Lailan Syaufina
FORESTA Vol 1, No 1 (2012): MARET
Publisher : FORESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.033 KB)

Abstract

This article describes spatial models of land and forest fire risk in Central Kalimantan. The models were established base on human factor and biophysical factor approaches. The main objective of this research is to map out forest fire risk index in Central Kalimantan as well as to identify the major factor that significantly affect the forest fire risk itself. The study use CMA method to develop spatial model of land and forest fire risk. The mathematical model obtained from this study is: y = -0,00004x2 + 0,021x – 0,356 having R2 about 54 %. The significant factors that affect the forest fire risk are land allocation, land cover, land system and soil type. Model validation shows that the model can predict the risk fire index providing 66,76 % of accuracy.Key words: Central Kalimantan, forest fire risk, CMA, spatial model
DETEKSI KONDISI KETAHANAN PANGAN BERAS MENGGUNAKAN PEMODELAN SPASIAL KERENTANAN PANGAN Dede Dirgahayu; I Nengah Surati Jaya; Florentina Sri Hardiyanti Purwadhi; Muhammad Ardiansyah; Hermanu Triwidodo
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 2 No. 2 (2012): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.2.2.85

Abstract

In 2005 and 2009, BKP and WFP has provided food security conditions in Indonesia on Food Insecurity Map which were developed using food availability, food accessibility, food absorption and food vulnerability. There are 100 out of 265 districts in Indonesia or about 37,7%, which fall into the vulnerable to very vulnerable categories, where 11 districts were found in Java. The main objective of this research is to develope a spatial model of the rice production vulnerability (KPB) based on Remote Sensing and GIS technologies for estimating the food insecurity condition. Several criteria used to obtain food vulnerability information are percentage level of green vegetation (PV), rainfall anomaly (ACH), land degradation due to erosion (Deg), and paddy harvest failure due to drought and flood in paddy field (BK). Dynamic spatial information on the greenness level of land cover can be obtained from multitemporal EVI (Enhanced vegetation Index) of MODIS (Moderate Resolution Imaging Spectroradiometer) data. Spatial information of paddy harvest failure caused by drought and flood was estimated by using vegetation index, land surface temperature, rainfall and moisture parameters with advance image processing of multitemporal EVI MODIS data. The GIS technology were used to perform spatial modelling based on weighted overlay index (multicriteria analysis). The method for computing weight of factors in the vulnerability model was AHP (Analytical Hierarchy Process). The spatial model of production vulnerability (KPB) developed in this study is as follows: KPB = 0,102 PV + 0,179 Deg + 0,276 ACH + 0,443 BK. In this study, level of production vulnerability can be categorized into six classes, i.e.: (1) invulnerable; (2) very low vulnerability; (3) low vulnerability; (4) moderately vulnerable; (5) highly vulnerable; and (6) extremely vulnerable. The result of spatial modelling then was used to evaluate progress production vulnerability condition at several sub-districts in Indramayu Regency. According to the investigation results of WFP in 2005, this area fall into moderately vulnerable category. Only few sub-districts that fall into highly and extremely vulnerable during the period of May ~ August 2008, namely: Kandanghaur, Losarang, part of Lohbener, and Arahan.Keywords: remote sensing, GIS, food vulnerability, vegetation index, AHP
Co-Authors Abdul Rosyid Adelia Juli Kardika Agus P. Kartono Anita Zaitunah Antonius B Wijanarto Antonius B Wijanarto Ari Ardelina Tatang Tiryana Muhdin, Ari Ardelina Tatang Tiryana Bejo Slamet Beni Iskandar Boedi Tjahjono Bramasto Nugroho Budi Kuncahyo Cecep Kusmana Darwo Darwo Darwo Darwo Dede Dirgahayu Dewayany Sutrisno Dewayany Sutrisno Dito Cahya Renaldi Dito Cahya Renaldi Dwi Noventasari Dwi Putra Apriyanto Dwi Shanty Apriliani Gunadi Edwin Setia Purnama Elias Elias Ema Kurnia Endang Suhendang Endang Suhendang Endang Suhendang Endang Suhendang Endang Suhendang Suhendang Endang Suhendang Suhendang Eva Achmad Faid Abdul Manan Fairus Mulia Fairus Mulia Farida Herry Susanty Farida Herry Susanty Florentina Sri Hardiyanti Purwadhi Hardjanto - Hendrayanto . Hermanu Triwidodo Herry Purnomo Herry Purnomo Iin Arianti Irdika Mansur Ita Carolita Kartodihardjo, Hariadi Kukuh Murtilaksono Lailan Syaufina Liu Qian Liu Qian M. Bismark M. Buce Saleh M. Buce Saleh Marlina, Etty Muhammad Ardiansyah Muhammad Buce Saleh Mulyaningrum Mulyaningrum Naik Sinukaban Nanin Anggraini Nitya Ade Santi Nitya Ade Santi Nitya Ade Santi Omo Rusdiana Omo Rusdiana Oteng Haridjaja Patrich Papilaya Pratiwi Pratiwi Pratiwi Pratiwi Robert Parulian Silalahi Samsuri Samsuri Samsuri Samsuri Samsuri Samsuri Sendi Yusandi Sigit Nugroho Sri Wahyuni Suria Darma Tarigan Suyadi Suyadi Syamsu Rijal Tatang Tiryana Teddy Rusolono Tien Lastini Tien Lastini Tirta Negara Tomi Yuwono Tomi Yuwono, Tomi 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. YANTO SANTOSA Zhang Yuxing