Judul: The Development of Spatio-Temporal Data Warehouse Forest Fire in Indonesia
Abstrak: Data warehouse is a repository of information collected from multiple sources, stored under a unified schema, and that usually resides at a single site. If there is a change in the data structure, such as data separation and data merging, the data warehouse should be modified to handle the changes in the existing structure. This research was done with the development of a data warehouse approach with aspects of spatio-temporal, by using spatial data, which expected to be able to handle any case related to structural changes in the data. Hotspot data was used in this research come from the Directorate of Forest Fire Control (DPKH) Ministry of Forestry, Republic of Indonesia that has been revised by Kurniawan (2011). The result of this study is a data warehouse that can provide valid information value of data aggregation and the number of hotspot in the whole country of Indonesia starting from provincial to district level. Information on the distribution of hotspot is displayed in the form of crosstab and with interesting graphic. The graphic is displayed in the form of bar graphs and pie plots.
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Judul: Peningkatan Kinerja Sistem Spatial Data Warehouse Kebakaran Hutan Menggunakan GeoServer dan GeoMondrian
Abstrak: Forest fire can be periodically detected by satellite as hotspot areas that occur at specified time and location. The frequency of forest fire in Indonesia is high so the data collection of hotspots will be very large. That data collection of hotspots can be stored into specific storage such as data warehouse. A data warehouse system of forest fire was built in the previous research using GeoServer as web map server and GeoMondrian as OLAP Server. However, that system still has some limitations such as the poor system runtime and the low amount of retrieved hotspots. In this research, the system would be reconfigurated in order to fix those limitations so that the system performance would increase. The configuration involves some part of the system including Java Runtime Environment, database source, data cube schema, and error handling in OpenLayers. It has resulted 155 ms higher speed of runtime and 1310 higher number of retrieved hotspots.
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Judul: Optimization of Alginate-Chitosan Microcapsules Formation for Leydig Cells Encapsulation
Abstrak: Hypogonadism is a clinical condition characterized by low concentrations of testosterone. It is caused by malfunction of Leydig cells in producing testosterone. Encapsulation method will protect the transplanted cells from the immune system rejection. The aims of this study was to optimize the formation of microcapsules for Leydig cells encapsulation. The microcapsules were made of alginate and chitosan as the first and the second coating agents, respectively. The result showed that the minimum concentration of alginate was 1.5% (w/v) with a viscosity of 33.8 cPs, resulted spherical microcapsules with diameters of 230-270 µm. The optimum concentration of chitosan as the second coating agent was 0.5% (w/v), resulted spherical microcapsule with mechanical stability in 4 hours. Leydig cells can be trapped inside the capsule with a density that proportional with concentration of cells used in the encapsulation.
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