Data Warehouse sebagai Basis Analisis Data Akademik Perguruan Tinggi

Ayub, Mewati and Kristanti, Tanti and Caroline, Maresha (2013) Data Warehouse sebagai Basis Analisis Data Akademik Perguruan Tinggi. In: Seminar Nasional Teknologi Informasi 2013, 16 November 2013, Jakarta.

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The growth in the university can be seen with number of student that increase from time to time, which is called student body. The growth in student body results a big data of student's academic. Besides students, other important component in the university is a lecturer. The growth in the number of student should be accompanied by an increase of lecturer, both in quality and quantity. Data set of student and lecturer in such amount contain information or knowledge that can be analyzed. Based on the knowledge which is resulted from the analyze of student data and lecturer data, university can make a strategic plan for the future work plan. Data warehouse is used to analyze that studnet data and lecturer data. As a study case, this research using student data from three faculties in Maranatha Christian University and lecturer data from the same university. As the result, data mart schema are created for two parts, data mart schema for student and data mart schema for lecturer. There are three star schema for student, new student schema, active student schema, and graduated student schema. For lecturer, there are also three schema, lecturer education schema, lecturer research schema, and lecturer community service schema. Integration of three star schema of student builds student fact constellation schema data warehouse. There is also integration of three star schema of lecturer, which builds lecturer fact constellation data warehouse.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: university, big data, data warehouse, schema, data mart
Subjects: T Technology > T Technology (General)
Depositing User: Perpustakaan Maranatha
Date Deposited: 20 Apr 2015 05:08
Last Modified: 20 Apr 2015 05:08

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