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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
Mortality and Ingrowth Pattern of Dipterocarps in Forest Recovery in East Kalimantan Farida H. Susanty; Endang Suhendang; I Nengah Surati Jaya; Cecep Kusmana
BIOTROPIA - The Southeast Asian Journal of Tropical Biology Vol. 22 No. 1 (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 forest, the stand conditions such as stand structure, mortality and ingrowth rates will vary according to the species characteristic.  The study objective was to determine mortality and ingrowth/recruitment rates to formulate biometric characteristic variability of dipterocarps forest in logged-over forests based on time series data.  The study site was located in Labanan, East Kalimantan Province. Permanent measurement plots within logged-over forest were located to represent threedifferent logging techniques, i.e., (a)reduced impact logging with limit diameter 50 cm (RIL 50), (b) RIL 60, (c) conventional logging and (d) primary forest as control.  Total plot permanent area about 48 ha that measured 2 years periodically along 17 years after logging.  Data analysis of stands were divided into two major groups, i.e., Dipterocarps and non Dipterocarps. The mortality rates on logged forest were 2.5-29.3% ha-1 2yr-1 then very closed to primary forest after the 5th year after logging.  While the ingrowth rate in logged forest were 1.3 – 21.3% ha-1 2yr-1 that have higher value than the primary forest along 17 years.  The mortality and ingrowth rates fluctuation of Dipterocarps species group having different pattern with non Dipterocarps.   Keywords: Dipterocarps, logged-over forest, mortality, ingrowth
Restoration Priority Index Development of Degraded Tropical Forest Landscape in Batang Toru Watershed, North Sumatera Indonesia Samsuri Samsuri; I Nengah Surati Jaya; Cecep Kusmana; Kukuh Murtilaksono
BIOTROPIA - The Southeast Asian Journal of Tropical Biology Vol. 21 No. 2 (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.
SPATIAL MODEL OF SUMATRAN TIGER (Panthera tigris sumatrae) POTENTIAL HABITAT SUITABILITY IN BUKIT BARISAN SELATAN Suyadi Suyadi; I Nengah Surati Jaya; Antonius B Wijanarto; Haryo Tabah Wibisono
BERITA BIOLOGI Vol 11, No 1 (2012)
Publisher : Research Center for Biology-Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/beritabiologi.v11i1.1885

Abstract

This study describes on development of habitat suitability for Sumatran tiger in Bukit Barisan Selatan National Park (BBSNP). In this study remotely-sensed data set were linked with tiger and it prey survey using camera trap to identify the environmental and human factors that influences the tiger's potential habitat, and to develop a spatial model as well as in BBSNP. All at once, the study showed that the potential model for estimating the tiger's potential habitat suitability could be developed using environmental and human factors. The most significant factors that influence the tiger habitat suitability in Bukit Barisan Selatan National Park are human factors such as distance to road and distance to forest edge and the environmental factor i.e. the number of tiger prey. The verification of the model shows that the model is capable to estimate the probability of the tiger presence having accuracy of approximately 78%. The model shows that there is no significant difference between the predicted data and actual data and having mean deviation less than 10%.
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

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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
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 (IJReSES) Vol 15, No 1 (2018)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1425.861 KB) | 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.
Information Required for Estimating The Indicator of Forest Reclamation Success in Ex Coal-Mining Area Hasriani Muis; I Nengah Surati Jaya; Muhammad Buce Saleh; Kukuh Murtilakono
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

Abstract

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.
Growth-site Quality Assessment of Nypa fruticans using Unmanned Aerial Vehicles Images: A case study in Kubu Raya Regency, West Kalimantan Province Adelia Juli Kardika; I Nengah Surati Jaya; Nining Puspaningsih; Fairus Mulia
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp502-511

Abstract

The growth-site quality is one of the essential information needed to support sustainable forest management particularly in forestry planning. This paper describes the development of a site-quality class of Nypa vegetation by considering the biological and physical factors. The main objective of this study is to develop a discriminant model and to find out major factors that may be used to predict the quality of Nypa growth-sites.The model was developed using variables either measured on UAV images or from field measurement, namely soil texture (X1), water salinity (X2), water pH (X3), crown closure (X4) and stand density (N) measured on the UAV image (X5). The study found that the site quality of Nypa could be indicated by the variation of its biomass content. Then, it was concluded that the major factors that affect the site quality are the soil texture (X1),water salinity (X2),and water pH (X3) with 78.3% of overall accuracy.
Spatial distribution pattern of Tarsius Lariang in lore lindu national park Abdul Rosyid; Yanto Santosa; I Nengah Surati Jaya; M. Bismark; Agus P. Kartono
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp606-614

Abstract

Tarsius lariang (T. lariang) is an endemic species in Lore Lindu National Park (LLNP). Available information regarding T. lariang is limited to only morphological, anatomical, cytogenetic, and voices issues. Knowledge for its geospatial characteristics such as spatial preferences and spatial distribution is rare. The main objective of this study is to identify the spatial distribution pattern of T. lariang in LLNP. An additional objective is to identify the environmental factors affecting its spatial distribution patterns. Field observation for distribution pattern was done at the observation plot that were using systematic sampling with random start. Furthermore, the density estimation in each point was calculated using Triangle Count and Concentration Count method, while insect abundance was estimated using light traps sample data. Finally, spatial pattern was estimated using nearest neighbor index, while the environmental affecting factors were identified by using spatial analysis and correlation analyses. From 45 observation points, the T. lariang distribution pattern was clumped. It is also recognized that the significant factors affecting the spatial distribution were insect abundance, proximity from the commercially utilized land, and land surface temperature. 
Co-Authors Abdul Rosyid Adelia Juli Kardika 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 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 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 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