Skip to main content

Development of Student Data Mart Using Normalized Data Store Architecture

Buy Article:

$105.00 plus tax (Refund Policy)

As one of the private university in Indonesia, Muhammadiyah University of Yogyakarta make assessing the performance and feasibility of the institution. The data required in the accreditation process includes various aspects, such as student, alumnus, employee, facilities and others. However, to obtain that data, the institution is still having trouble because the data is not yet integrated. Integrated data obtained by building a data warehouse. This research uses data warehouse with Normalized Data Store (NDS) architecture. There are some noise was found that need to be cleaned, such as null data and duplication data. Student data mart has been built and it can meet the requirements of the institution that are displayed in a report.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: Accreditation; Data Mart; Data Warehouse; Student

Document Type: Research Article

Affiliations: Muhammadiyah University of Yogyakarta, Indonesia

Publication date: 2015-10-01

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more