Judul: PengembanganData Warehouse dan OLAP untuk Metadata Penelitian Institut Pertanian Bogor
Abstrak: Data warehouse is a subject oriented, integrated, time variant, and nonvolatile collection of data used in strategic decision making. Bogor Agricultural University library has metadata. The activity of searching and browsing in the library Bogor Agricultural University can be based on metadata fields, such as title, author, faculty, department, subject, year, and keyword. This research develops a data warehouse and web-based OLAP (Online Analytical Processing) for undergraduate theses, master theses, disertations, and journal articles. Data warehouse and OLAP are part of Business Intelligence. Document corpus contains 65026 research metadata, 51389 undergraduate theses, 11260 master theses, 2377disertations, and 2000 journal articles from 1958 to 2011. The metadata are represented in a multidimensional model using galaxy scheme that consists of four data cube, with five dimension tables, i.e., faculty, department, time, lecturer, subject, and number of research. The result provides information that can be visualized into various types of graphic models, such as bar graphs, line graphs, and pie charts using Microsoft Sharepoint 2010. This application can be used to analyze undergraduate and graduate research as well as to provide a decision making support for research management in Bogor Agricultural University.
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Judul: Data warehouse dan aplikasi olap akademik kurikulum mayor-minor berbasis linux
Abstrak: Data warehouse is a specialized database for decision support purposes, which is integrated data from different systems, query performance, relieving source systems from long running queries, and the tracking of history. Accordingly, data warehouse is often use by company. This research represents the elaboration of data warehouse for academic purpose at Bogor Agricultural University using Online Analytical Processing (OLAP). OLAP is part of the broader category of business intelligence, which also encompasses relational reporting and data mining. OLAP which is integrated with data warehouse, developed to analyze academic data yearly including student’s grades, GPA, and cumulative GPA for Major and Minor. This research produces a data warehouse and web-based OLAP containing two data cubes: Subject_Grade and GPA. Data warehouse consists of seven dimensions (Time, Generation, Sex, Subject, Grade, Status of study, and Minor) and two cubes (Subject_Grade and GPA). This application provides information as of report with Excel Spreadsheet, and pdf file. Users can explore this application to get academic related information in Computer Science Department by application OLAP operations including roll-up, drill-down, dice, slice, drill through, pivot, etc
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Judul: Optimasi Pemurnian Protein Kapang Endofit CgKTm 5F  sebagai Inhibitor RNA Helikase Virus Hepatitis C
Abstrak: Hepatitis C adalah salah satu penyakit yang menyebabkan peradangan hati. Obat atau vaksin yang efektif untuk pengobatan hepatitis C belum diketahui. Penemuan terapi target molekular NS3 helikase memiliki potensi sebagai salah satu cara untuk penghambatan penyakit hepatitis C. Penghambat NS3 helikase yang memiliki nilai kemurnian yang tinggi masih belum didapatkan sehingga diperlukan penelitian untuk mengoptimasi teknik pemurnian kapang endofit CgKTm 5F sebagai penghambat RNA helikase virus hepatitits C. Pemurnian kapang endofit CgKTm 5F dilakukan dengan menggunakan beberapa macam teknik kromatografi, yaitu gel filtrasi, penukaran ion, hidrofobik dan kromatografi lapis tipis. Kromatografi gel filtrasi dengan sephadex G-50 dan eluen etanol 30% memiliki aktivitas inhibisi tertinggi (89,45%) pada fraksi ke-10. Analisis SDSPAGE menunjukkan bahwa kapang endofit CgKTm 5F adalah pita tunggal sebesar 13,97 kDa dan aktivitas spesifik sebesar 3.62x10-5 U/mg serta persen kemurnian sebesar 99,93%. Kemurnian ini 20x lebih tinggi dibandingkan dengan penelitian sebelumnya sebesar 5,83 %.
Keyword: vaccine therapeutic treatments, NS3 helicase, RNA, SDS-PAGE analysis