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INDONESIA
Indonesian Journal of Geospatial
Published by Institut Teknologi Bandung
ISSN : 20895054     EISSN : -     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Arjuna Subject : -
Articles 4 Documents
 1 
Search results for , issue " Vol 3, No 2 (2014)" : 4 Documents clear
Variability of Sea Surface Temperature and Sea Surface Salinity in the Ambon Bay and its Relation to ENSO/IOD and Monsoon Corvianawatie, Corry; Rachmat Putri, Mutiara; Yudawati Cahyarini, Sri; Merpy Tatipatta, Willem
Indonesian Journal of Geospatial Vol 3, No 2 (2014)
Publisher : Indonesian Journal of Geospatial

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Abstract

Sea Surface Temperature (SST) and Sea Surface Salinity (SSS) are the most important oceanographic parameter. In this research we study local oceanographic condition in the Ambon Bay (3o40’S and 128o10’E); the variability of SST and SSS due to climatic events El Niño Southern Oscillation (ENSO), Indonesian Ocean Dipole (IOD), and Monsoon. SST data used from Extended Reconstructed Sea Surface Temperature version 3b (ERSST v3b) and SSS data from Simple Ocean Data Assimilation (SODA 2.2.4). Oceanic Nino Index 3.4 (ONI 3.4) and Dipole Mode Index (DMI) datasets are used to identify the effect of ENSO/IOD on the SST and SSS in the Ambon Bay. We used monthly datasets in 2000-2008 periods. Monsoonal variation dominants in monthly mean time scale. The maximum SST is occurred during the Northwest Monsoon (i.e. in December) and the minimum SST is occurred during the Southeast Monsoon (i.e. in August). While the maximum SSS is occurred in July and minimum SSS is occurred in April. Statistical analysis results there is high correlation between SST and wind speed r=-0.842 (n=108, p<0.05), SSS and wind speed r=0.493 (p<0.05).  However, there is very small correlation between SST/SSS anomaly and ONI/DMI. Correlation coefficient of SST anomaly with DMI is r=-0.365 (n=108, p<0.05), and with ONI 3.4 is r=-0.071 (n=108, p>0.05). The correlation coefficient of SSS anomaly with DMI is r=0.112 (n=108, p>0.05), and with ONI 3.4 is r=0.191 (n=108, p<0.05). Based on these reviews summarized that in the seasonal variation of SST and SSS in the Ambon Bay is dominated by the monsoonal effect rather than the ENSO and IOD events.
Reconstructing Disrupted Water Level Records in A Tide Dominated Region Using Data Mining Technique Hidayat, Hidayat; Setiawan, Fajar; Handoko, Unggul
Indonesian Journal of Geospatial Vol 3, No 2 (2014)
Publisher : Indonesian Journal of Geospatial

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Abstract

Abstract. A continuous time-series of certain hydrographical data, such as water levels, is required for various purposes such as time series analysis to study system behaviour and to perform predictions. However, due to some technical failure or natural obstacles, disruptions of measurements may occur. Data gap filling technique is then required to obtain a reliable reconstructed continuous time-series. Linear regression is an example of the simplest technique in data gap filling for parameters that can be linearized. Most of hydrographical data, however, are highly non-linear. Therefore a more advanced techniques are required to complete the missing data. This paper discusses the application of data mining technique in obtaining a continuous water level data using the M5 model tree. The main idea of the M5 model tree machine-learning technique is that the algorithm splits the parameter space into subspaces and then builds a linear regression model for each subspaces. Therefore, the resulting model can be regarded as a modular model. This technique was applied to reconstruct a disrupted water level record of the Mahakam Delta, East Kalimantan, Indonesia. A datasets obtained during a measurement campaign in 2008-2009 were split into the training and validation sets. The model was trained using the three-hourly water level data from the Delta Apex and Tenggarong measurement stations. Water level records show the semi-diurnal character of tides in the region, and that the tides are still dominant in the upstream area at the Tenggarong station located about 40 km from the Delta Apex. Four previous time-step data from the Tenggarong station were included as input to the model to cover the time lag of tide propagation between the two stations. Nash–Sutcliffe coefficient of Efficiency were used to evaluate the model. Nine model rules (using smoothed linear models) were obtained from the training of the M5 model tree, which are executed sequentially until suitable conditions are matched. Validation shows that M5 model tree can satisfactorily be applied as an alternative tool for water level data gap filling in the tide dominated region. Keyword: data mining, hydrographical data, water levels, time-series
The Calculation of Erosion and Sedimentation Rate in Coastal Zone Using Satellite Imageries (Case Study: Kecamatan Muara Gembong, Kabupaten Bekasi, West Java) Ekaputri, Dianlisa; Windupranata, Wiwin; Budi Harto, Agung
Indonesian Journal of Geospatial Vol 3, No 2 (2014)
Publisher : Indonesian Journal of Geospatial

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Abstract

Abstract. Coastal zone is a transition area which always influenced by the changes of the land and ocean. The changes may occur due to the tide, current, wave, wind, sea water intrusion, runoff, contamination, or continental shelf area. As an effect, erosion and sedimentation phenomenon are occurred and could cause the changes of coastline shape. Kecamatan Muara Gembong which belongs to Kabupaten Bekasi is located in the Northern Coast of Java Island. Due to its geographical location, this area is threatened by the risk that is caused by erosion and sedimentation in the coastal zone. Therefore, study in this area is needed in order to identify the changes of the coastline. Coastline mapping through spatio-temporal LANDSAT-7 ETM+ satellite imageries is one of the methods to conduct this study. It uses satellite images from year 2000 – 2012. These images were processed by two visual image enhancement methods, named ratioing and BILKO algorithm, so that the visual differences between the land and the ocean could be identified. After the images were processed, coastline digitizing could be done annually from both methods. The result of this study is that there is a significant amount of erosion occurred in the coastal zone of Desa Pantai Bahagia and Desa Pantai Sederhana with the value of 139.05 Ha and 91.65 Ha from the ratioing method whereas the result from BILKO algorithm method is 141.56 Ha and 103.82 Ha. Desa Pantai Mekar has the least reduces, that is 30.44 Ha from ratioing method and 26.27 Ha from BILKO algorithm method. Based on Net Coastline Changes, the area of Kecamatan Muara Gembong from year 2000–2012 has reduced 346.54–349.56 Ha with the speed average of erosion that has been obtained is 28.88–29.13 Ha/year. Keywords: coastline changes, LANDSAT-7 ETM+ satellite imageries, erosion, sedimentation
The Coastal Platform Morphodynamics Characteristics Belang Bay, North Sulawesi Province Christian Kumaat, Joyce; Tonly Boy Kandoli, Sontje; Tenly Moningkey, Agnes
Indonesian Journal of Geospatial Vol 3, No 2 (2014)
Publisher : Indonesian Journal of Geospatial

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Abstract

Abstract. Coastal dynamics represent change from time to time, could be the form of coastal  presenting effect ofsedimentation and earn also in the form of coastal backing effect of erosion.This research of coastalmorphodynamics on Belang Bay, will study by some aspect that is: beach morphology, grain size sediment andhydrodynamics activity. The purpose of this study is to see how far the influence of the morphodynamics of thecoastal damage and sensitivity (susceptibility) coastal sea water due to the influence of hydrodynamics. Methodof data collection and analysis, two main parameters were measured wave energy and beach characteristics.Knowledge on the morphodynamic behaviour of beaches was obtained from a topographic measurementsof 15 beach transects normal to the coastline. Widely used morphodynamic parameters, like the SurfSimilarity and the Surf Scaling parameters, were applied to the data, resulting in a general morphodynamiccharacterization of beaches, represented in a map of beach type distribution. In molompar beach identified bysediment material vary between finesand up to coarse sand which is distribution in each coastal circulationcell of Molompar beach.Keywords: hydrodynamics, morphodynamic, surf, similarity, coastal

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