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: Infeksi Virus Parainfluenza Pada Anjing
Abstrak: Virus parainfluenza anjing termasuk famili Paramyxoviridae, berbentuk pleomorf dengan ukuran bervariasi (bergaris tengah antara 100-500 nm), berpembungkus peka ether, berisi genom RNA dan secara serologis mempunyai kesamaan dengan virus SV-5 kera; dikenak sebagai salah satu kausa penting dari sindrom "kennel cough". Infeksinya dapat mengenai anjing semua umur yang belum pernah terinfeksi atau mendapatkan vaksinasi mengakibatkan gejala klinis ringan yang terbatas pada traktus respirasi atu infeksi yang secara klinis tidak memperlihatkan gejala nyata. Gejala klinis yang nampak setelah masa inkubasi (1-5 hari) terlewati berupa batuk yang tidak berat selama beberapa hari, berbagai tingkat tonsilitis dan pharyngitis dan kadang-kadang ditemukan kenaikan temperatur rektal antara 1-2 derajat C dari temperatur normal rat-rata. Anjing terinfeksi mengandung virus pada traktus respirasi bagian atas dan bawah serta limfonoduli sampai hari ke 9 setelah infeksi. Penyebaran virus antar anjing terjadi secara aerogen.
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