Judul: Visualisasi Data Spasial di MonetDB Menggunakan OpenJUMP
Abstrak: There are currently the most used data model is relational. This model a database as a set of data that is stored in structural rows and columns. Besides the popullarity, the relational data model is lacking in the implementation of data is large and has a high complexity. Different of the relational model, MonetDB using a column store method to divide the data into sections binary tables . This method is only necessary to call the data, resulting method is faster. Anggi ( 2013 ) have tested the MonetDB as a spatial and non spatial data storage, but not yet visualize data from MonetDB. This result successfully visualize spatial data using a simple query “like” and “and” the average time 1 second , while the complex spatial queries using “joins”, “constains” and “Intersect” with average time more than 20 minutes. So it looks that MonetDB also can process spatial data simple and complex . But in the process of complex spatial data visualization that require run-time is relatively long .
Keyword: visualize, OpenJUMP, MonetDB, spatial data

Judul: Sinkronisasi antara Visualisasi Peta dan Query OLAP pada Spatial Data Warehouse Kebakaran Hutan di Indonesia
Abstrak: This research is a continuation from the previous research concerning data warehouse and spatial OLAP forest fire in Indonesia based on web using framework GeoMondrian and Geoserver. In the previous research, OLAP analysis process and hotspot location visualization are performed separately. In this research, the synchronization between OLAP analysis process and hotspot location visualization uses Spatialytics framework. This synchronization can be done because GeoMondrian and OpenLayers are embedded on Spatialytics, therefore OLAP analysis process and hotspot location visualization can be done by using just one query, that is MDX. This research develops a system which uses Spatialytics framework, PostGIS as spatial database, and GeoMondrian as spatial OLAP server. The system uses snowflake scheme with one table of fact and three dimensions consisting of the time dimension, the satelite dimension, and the location dimension. The System is built with threetier architecture consisting of the bottom layer, middle layer, and the top layer. The advantage of this system compared to the previous one is that this system takes only one input query, which is MDX to do OLAP analysis and show hotspot location. OLAP operations such as roll up, drill down, and slicing has been implemented in this system whilst dicing has not been implement because of Spatialytics limitation. For further research, system can be developed that is capable of dicing operation, data modification, such as insert, delete and update, without changing any scheme or structure.
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Judul: Characterization of protoxin protein and chitinase enzyme from indigenous isolates Bacillus thuringiensis
Abstrak: Bacillus thuringiensis secreted exochitinase activity when grown in a medium containing chitin. Chitinase and protoxin protein play a important role in the pathogenicity of Bacillus thuringiensis to insect pest. This research was aimed to determined characterization of B. thuringiensis subsp. pakistani indigenous isolates, B. thuringiensis Lot II, and B. thuringiensis 47 to produce chitinase enzyme and protoxin protein. Optimum production of chitinase from B. thuringiensis subsp. pakistani was obtained at 24th hours, pH 7.5, and 40oC. B. thuringiensis Lot II was optimum at 21th hour, pH 6,0, and 50oC. B. thuringiensis 47 was optimum at 21st hour, pH 5,0, and 35 oC. Ammonium sulphate was used for precipitation of chitinase protein. The highest spesific activity of chitinase was obtained on ammonium sulphate at saturation 20% for B. thuringiensis subsp. pakistani, 30% for B. thuringiensis Lot II and 40% for B. thuringiensis 47. The highest production of protoxin protein from B. thuringiensis subsp. pakistani and B. thuringiensis 47 was obtained at 36th hour, whereas B. thuringiensis Lot II at 33rd hour. The molecule weight of chitinase molecule was determined by Sodium Dodecyl Sulfate Solution Polyacrilamide Gel Electrophoresis (SDS-PAGE). Molecular weight of chitinase of B. thuringiensis subsp. pakistani, B. thuringiensis Lot II and 47 estimated at 71,15 kDa. The weight of protoxin protein molecule all isolates estimated 129,99 and 130,04 kDa.
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