16 research outputs found
A SPACE-TIME SCAN STATISTIC TO DETECT CLUSTER ALARMS OF DENGUE MORTALITY IN INDONESIA, 2005
Get PDFThis article presents a space-time scan statistic, useful for evaluating space-time cluster alarms, and illustrates the method to investigate a recent dengue mortality alarm in Indonesia. Space-time scan statistics account for multiple testing inherent in a cluster alarm. The baseline process may be any inhomogeneous Poisson process with intensity proportional to some known function. Confounders in a particular time can be adjusted for. Three cluster alarms of dengue mortality in Indonesia in 2005 were statistically significant. Space-time scan statistics are useful as screening tools for evaluating which cluster alarms merit further investigation and which clusters are probably chance occurrences
Participatory three dimensional mapping for the preparation of landslide disaster risk reduction program
No full textA SPACE-TIME SCAN STATISTIC TO DETECT CLUSTER ALARMS OF DENGUE MORTALITY IN INDONESIA, 2005
No full textThis article presents a space-time scan statistic, useful for evaluating space-time cluster alarms, and illustrates the method to investigate a recent dengue mortality alarm in Indonesia. Space-time scan statistics account for multiple testing inherent in a cluster alarm. The baseline process may be any inhomogeneous Poisson process with intensity proportional to some known function. Confounders in a particular time can be adjusted for. Three cluster alarms of dengue mortality in Indonesia in 2005 were statistically significant. Space-time scan statistics are useful as screening tools for evaluating which cluster alarms merit further investigation and which clusters are probably chance occurrences. Keywords: clusters, dengue mortality, space-time scan statistics, poisson proces
PERSEBARAN TERUMBU KARANG DI WILAYAH PERAIRAN KARAWANG
Get PDFCoral reefs are one of the most important marine resource potentials in Indonesia. The purpose of this research is to analyze the influence of physical characteristics of waters on the distribution of coral reefs in the Waters of Karawang region in 2001, 2010 and 2017. The method used is field survey and image data processing using the Lyzenga algorithm to determine the distribution of coral reefs in the Waters of Karawang. The results showed that the physical characteristics of these waters affected the distribution of coral reefs in the long term which in the year 2001 - 2017, because when the physical characteristics of the waters are not in accordance with the quality standards, coral reefs do not die immediately but will undergo various processes until it dies. Temperature measurement does not affect the spread of coral reefs in the Karawang region because at temperatures that are suitable for air quality for coral reefs, coral reefs cannot live in the Karawang region. Whereas in high salinity beyond the standard threshold value, coral reefs cannot grow and develop. In ocean surface currents, live coral reefs are ready to have a pattern that is in the same direction as the average direction of ocean currents in the initial time
A Space-Time Scan Statistic To Detect Cluster Alarms Of Dengue Mortality In Indonesia, 2005
No full textThis article presents a space-time scan statistic, useful for evaluating space-time cluster alarms, and illustrates the method to investigate a recent dengue mortality alarm in Indonesia. Space-time scan statistics account for multiple testing inherent in a cluster alarm. The baseline process may be any inhomogeneous Poisson process with intensity proportional to some known function. Confounders in a particular time can be adjusted for. Three cluster alarms of dengue mortality in Indonesia in 2005 were statistically significant. Space-time scan statistics are useful as screening tools for evaluating which cluster alarms merit further investigation and which clusters are probably chance occurrences
Bioconcentration Factor (BCF) and Translocation Factor (TF) of Heavy Metals in Mangrove Trees of Blanakan Fish Farm
Get PDFIn the mangroves of Blanakan, Indonesia, silvofishery practices may play a role in maintaining the environmental quality of ponds. Mangroves are known as pollutant traps since their root systems absorb and accumulate materials. Heavy metals are pollutants that often contaminate aquatic environment like ponds. The bioconcentration factor can be used to evaluate the content of heavy metals in organisms, while the translocation factor can be used to measure the amount of heavy metals transferred form one organ to another. The aim of this study was to determine the bioconcentration factor and the translocation factor of heavy metals (Pb, Cu, and Zn) in mangrove trees (Avicennia and Rhizopora) at the Blanakan ponds. Samples of mangrove trees from 3 stations, were cut using a knife, and samples of sediments were collected using Ekman Bottom Grab sampler. Samples were then prepared for heavy metal content analysis using the Shimadzu 6300 atomic absorption spectrophotometer. The bioconcentration and translocation factors were calculated using formulas; the bioconcentration factor was calculated as the content of heavy metals in trees divided by the content of heavy metals in sediments. Results showed that the bioconcentration factor of Cu was higher than 1 in the roots, stems and leaves of Avicennia trees and of Zn was higher than 1 in the roots of Rhizopora trees at station 1. Translocation factors higher than 1 were mostly found in Avicennia (Cu) and Rhizopora (Pb) trees. Mangrove trees with translocation values of greater than 1 for one or more heavy metals can be considered as strong accumulators of the corresponding metals
Geothermal Potential Based on Physical Characteristics of the Region (Case Study: Mount Karang, Pandeglang Regency and Banten Province)
No full textThis research is about geothermal potential of Mount Karang, Banten Province which is based on the characteristics of the region. This research method used is geochemistry sample of hot springs and integrated with GIS method for spatial of geothermal potential. Based on the geothermal potential, Mount Karang is divided into three regions, ie high potential, normal potential, and low potential. The high geothermal potential region covers an area of 24.16 Km2 and which there are Cisolong and Banjar 2 hot springs. The normal potential covers Kawah hot spring. Index of the fault of Mount Karang region is one of the significant physical characteristics to determine geothermal potential
Spatio-temporal pattern of seagrass distribution and the relation with human activities in Banten Bay
No full textSeagrass meadows are important ecosystem due to their structural and functions role as a place for various nutrient cycles, feeding area, and breeding for a variety of marine species. Increased human activity in the form of shipping, sand mining, reclamation, and the development of tourism sector is reported causing disturbed seagrass condition. Therefore, spasio-temporal monitoring of the seagrass condition is important to understand the relationship between the seagrass condition and the stresses from human activity. This research was conducted to analyze the change of seagrass distribution in Banten Bay and its relation with human activity using multi temporal Landsat data from 2008 to 2018. Landsat data is processed using Depth Invariant Index method and classified using Maximum Likelihood with field data. The results of this study indicate a reduction of 74,28 ha seagrass area in the Banten Bay from 2008 to 2018 due to increased human activity
Geothermal Potential Based on Physical Characteristics of the Region (Case Study: Mount Karang, Pandeglang Regency and Banten Province)
No full textThis research is about geothermal potential of Mount Karang, Banten Province which is based on the characteristics of the region. This research method used is geochemistry sample of hot springs and integrated with GIS method for spatial of geothermal potential. Based on the geothermal potential, Mount Karang is divided into three regions, ie high potential, normal potential, and low potential. The high geothermal potential region covers an area of 24.16 Km2and which there are Cisolong and Banjar 2 hot springs. The normal potential covers Kawah hot spring. Index of the fault of Mount Karang region is one of the significant physical characteristics to determine geothermal potential.</jats:p
Identifying Distribution of Chlorophyll-a Concentration Using Landsat 8 OLI on Marine Waters Area of Cirebon
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