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: Perbandingan Fungsionalitas dan Kinerja Spatial-DBMS (PostgreSQL/PostGIS dan MonetDB/Spatial)
Abstrak: Spatial-DBMS is a software module that can work with an underlying database management system and support multiple spatial data models, spatial indexing, and spatial function. Several examples of spatial-DBMS is PostgreSQL, MYSQL, IBM DB2, Oracle, SQL Server, and MonetDB. PostgreSQL as a well-known spatial-DBMS has been widely used all over the world. Meanwhile, MonetDB is still in the phase of system development and has many rooms for improvement. This research compared the two spatial-DBMS in terms of functionality and performance. The results showed that PostgreSQL has more complete spatial function compared to MonetDB. From their performance, it was found that MonetDB is better than PostgreSQL in handling simple non-spatial queries. As for the simple and complex spatial queries, PostgreSQL has shown better performance compared to MonetDB.
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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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