Judul: Pengembangan Data Warehouse dan Aplikasi OLAP pada Data Evaluasi Proses Belajar Mengajar IPB
Abstrak: Evaluation of Teaching and Learning Process (EPBM) is one measure of success in a learning process. Every year IPB always holds EPBM at least twice in one academic year. Increasingly, EPBM data is getting more and more difficult to analyze and to find information, either expressed or implied. By using data warehouse technology and an application On-line Analytical Processing (OLAP), IPB’s stakeholder can analyze and find information on the data. The main objective of this research is to develop a data warehouse and OLAP applications on EPBM data of IPB using Microsoft Business Intelligence as OLAP server. This study begin by collecting the data, integration and data reduction, data cleansing, data transformation, data loading, and OLAP implementations. The data warehouse schema used in this research is the galaxy scheme which has two facts (Course fact and Lecturer fact) and 9-dimensions (semester, academic year, courses, lecturers, faculty, department, lecturers education, and lecturers strata). To create a data warehouse and OLAP applications, we generate a data cube called EPBM Data. The results of the data cube can be visualized into various types of graphic models, such as bar graphs, line graphs, pie charts, and so forth. The results of the data cube is visualized using Microsoft Sharepoint 2010.
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Judul: Pembangunan Data Warehouse dan Aplikasi OLAP untuk Memantau Prestasi Mahasiswa Program Studi S1 Ilmu Komputer IPB
Abstrak: Many factors influence Department of Computer Science students achievement. The factors such as GPA, student supervisor, status of study, and sum of competition achievement. These factors can be analyzed with the data processing to find the information patterns that can increase the student’s achievement. The academic and non academic’s data of Program Study S1 Computer Science student spread in some location. This data make long running queries performance that complicated the analysis process. This research produce data warehouse which is integrated to online analytical processing (OLAP) that can represents data with graph and crosstab table. The OLAP server used in this research is Jedox 5.1. The data used are the academic and non academic’s data of IPB Computer Science students entry’s year 2006 to 2009. The steps being taken include analysis, design, preprocessing, and concluded with the implementation of data warehouse and OLAP operations. The data warehouse schema is created using the galaxy scheme. The result of research are three cubes (Research, Academic, and Achievement).
Keyword: OLAP, Jedox 5.1, data warehouse, academic’s data

Judul: Performa kecoa madagaskar (Gromphadorhina portentosa) pada tipe tempat sembunyi yang berbeda
Abstrak: Madagascar cockroaches come from Madagascar Island in the southest of Africa Beach. This cockroaches is a giant cockroaches in the world and as big as a giant beetle that called as "giant cockroaches". Madagascar cockroaches is a giant cockroaches and have a different character with another cockroaches, that is big size and types that it make it looks like beetle, fizz, doesn't bite, doesn't have wings and outdorless so that these cockroaches harmless for human and can be keep as pets that quite popular all over the world because of it's unique.
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