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: Penentuan pH dan suhu optimum aktivitas kitinase Bacillus cereus I.5 dan pengujian kitinase dalam mendegradasi eksoskeleton kutu bertepung putih (Ferrisia virgata Cockerell)
Abstrak: Bacillus cereus I.5 is one of chitinolytic bacteria isolated from chilli rhizosphere. The chitinase could be apply as a biocontrol of plant pest. One method to precipitate enzyme by using ammonium sulphate. It could increase specific activity enzyme. This research was conducted to determine optimum pH and temperature of chitinase activity of Bacillus cereus I.5 and tested its ability to degrade chitin exoskeleton of Ferrisia virgata Cockerell, one of Jatropha’s pest. Enzyme activity was obtained at the 10% ammonium sulphate saturation level, which is 20 times higher compared to crude enzyme. Specific enzyme activity increased from 0,039 U/mg of crude extract to 0,778 U/mg after ammonium sulphate precipitation. Chitinase of B. cereus i.5 showed highest activity at pH 7,0 and 55 °C although the enzyme also showed its activity at pH 5,0-9,0 and temperature 26-≤55 oC. Application of crude chitinase and the enzyme after ammonium sulphate precipitation on degrading of chitin Ferrisia virgata showed it worked better if incubated firstly at its optimum temperature.
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