Judul: The Integration of Spatial Data WMS and KML Format with Google Maps in Bakosurtanal WebGIS.
Abstrak: The development of Geographical Information System (GIS) technology nowadays has increased the needs of data services. The spatial data can be distributed to each institution through a standard provision of access to spatial data such as Web Map Service (WMS) and Keyhole Markup Language (KML). Google Maps, a service provider of maps and satellite images, provides an easy way for WebGIS developers to create their own composition maps. Google Maps can be integrated with spatial data, the WMS and KML format. BAKOSURTANAL have built a data-based mapping system that connects the data with the provincial BAPPEDA. This system is called Geografis Marine Resource Information System – Marine and Coastal Resource Management Project (GMRIS-MCRMP). This Open Source-based systems includes application to upload, edit and display data that is part of the spatial data catalog of BAKOSURTANAL which is located at the Central Survey of Natural Sea (PSSDAL) and this system can be accessed on http://pssdal.bakosurtanal.go.id. BAKOSURTANAL specifically has provided spatial data through WMS. The aim of this research is to create a mapping system that can integrate spatial data format WMS and KML with Google Maps, and see the difference in time required to display maps between google maps and an old system, which displays the map using the framework chameoleon. The results of this research show that the mapping system which is integrated with Google Maps is able to display the spatial data layer format WMS and KML. With google maps, mapping systems are relatively faster in displaying a map composition. Keywords: Web Map Service, Keyhole Markup Language, Google Maps, GIS, Map.
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Judul: Penambahan Layer Google Maps pada Spatial Data Warehouse Titik Panas di Indonesia
Abstrak: Hotspots data warehouse in Indonesia is a system that stores the historical data of forest fires in Indonesia. This system serves to make the observation of hotspots in order to control the forest fire by the Directorate of Forest Fire Control Ministry of Forestry of Indonesia. A spatial system of on-line analytical processing (SOLAP) has been developed to help the observation of hotspots. The system is able to see the visualization and analysis SOLAP distribution of hotspots. However, these systems have drawbacks in its visualization module, Where there is an insufficient information about the circumstances surrounding the hotspots. This research tries to improve the quality of the visualization module by integrating the existing system with Google Maps. The result of this research is the spatial data warehouse system that is integrated with Google Maps as the base layer.
Keyword: spatial, SOLAP, hotspot, Google Maps, forest fires, data warehouse

Judul: Pemurnian dan karakterisasi protein inhibitor RNA helikase virus hepatitis C
Abstrak: Hepatitis C virus (HCV) infection is the second most common chronic viral infection in the world with global prevalence. This infection is contribution to chronic hepatitis and liver cirrhosis, often leading to hepatocellular carcinoma. There is no effective drug and vaccine available against HCV. The current standard treatment, a combination of pegylated interferon-α with ribavirin, is limited by its suboptimal response rate in a significant patient population, side effects, and affordability. Therefore, development of effective drug is needed. One approach to find out the candidate of antiviral drug is to discover the inhibitor of enzyme that essential for virus replication, such as RNA helicase. Streptomyces chartreusis 5-095 produce the inhibitor of HCV RNA helicase. The aim of this study was to purify the protein inhibitor which has inhibition activity against ATPase activity of RNA helicase HCV from S. chartreusis 5-095. The supernatant of culture S. chartreusis 5-095 exhibited high inhibiton activity against ATPase activity of RNA helicase HCV (approximately 72%) at 10 days of incubation. The extracellular protein inhibitor was partially purified by procedures of precipitation with ammonium sulfate to 65% saturation and gel filtration (Sephadex G50) using methanol water solution (4:6) as an eluen. The purity of protein inhibitor was monitored by SDS PAGE. The protein inhibitor showed a relative molecular mass were estimated to be 14 kDa and increased the purity 23,08 fold than those of the crude protein. The specific activity and IC50 after purification were 13,1338 U/mg and 0,0767 mg/mL, respectively. The activity of purified protein inhibitor showed its stability over pH range from 5-8 and optimum at pH 7,4. The inhibition activity showed its stability up to 70% at temperature 100 oC. The purified protein inhibitor relatively stable its activity at storage in the range of -20 oC to room temperature for 35 days.
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