Perancangan Data Warehouse Untuk Penerimaan Mahasiswa Baru

Munawar Munawar

Sari


Data warehouse (DW) integrates information from numerous data sources not only for storage purposes but also for business analysis as well. As this information is to be used for business intelligent, it makes the design of DW difficult task. DW quality depends on the quality of all requirements, conceptual, logical and physical models used for DW design. Therefore, data quality has to be incorporated in the whole phase of DW development. This paper demonstrates the application of IRADAH (Integrated Requirements Analysis for Data Warehouse) method in implementing data quality into the whole DW development for students admission.

Keywords: Data Warehouse, IRADAH, students admission

Teks Lengkap:

PDF

Referensi


Ballou, D. P., and Tayi, G.K. Enhancing Data Quality in Data Warehouse Environments. Communications of the ACM January 1999/Vol. 42, No. 1. pp 73-78, 1999

Boehnlein M., Vom Ende U., “A Business Process Oriented Development of Data Warehouse Structuresâ€. In Proceedings of Data Warehousing 2000, Physica Verlag, 2000.

Celko, J., & McDonald, J. Don’t warehouse dirty data.Datamation, 41(19), 42–53. 1995

Hudicka, J. Bumpy Ride - Data Migration Projects Still Plagued by Problems. Intelligent Enterprise, 10, 2003

Kaldeich, C., & Oliveira, J. Data warehouse methodology: A process driven approach. In Proceedings of CAISE, LNCS, 3084, 536-549. 2004

Kimball, R., Reeves, L., Thornthwaite, W., Ross, M., Thornwaite, W. 1998. The Data Warehouse Lifecycle Toolkit: Expert Method for Designing, Developing, and Deploying Data Warehouses. John Wiley & Sons, Inc, 1998

Munawar, Salim, N., Ibrahim, R.: Toward Data Quality Integration into the Data Warehouse Development. In: Ninth IEEE International Conference on Dependable, Autonomic and Secure Computing. IEEE Computer Sociaty (2011a), 978-0-7695-4612-4/11, doi:10.1109/DASC.2011.194

Munawar, Salim, N., Ibrahim, R.: Toward Data Warehouse Quality through Integrated Requirements Analysis. In: ICACSIS 2011 (2011b) ISBN: 978-979-1421-11-9

Nemoni, R. R and Konda, R. 2009. A Framework for Data Quality in Datawarehouse. In J. Yang et. Al (Eds): UNISCON 2009, LNBIP 20, pp 292 – 297. Springer-Verlag Berlin Heidelberg 2009

Nooraini Sheriff. 2007. Information sources influencing students’ choice of private colleges in Malaysia: an exploratory perspective. Asian Journal of University Education. Vol.3. No.1, p133-144. 2007

Porter, M.E. The Five Competitive Forces that Shape Strategy. Harvard Business Review. January, 2008.

Rainardi, Vincent. Building a data warehouse: with examples in sql server. A Press. 2008

Rizzi, S., Abelló, A., Lechtenbörger, J., & Trujillo, J. Research in data warehouse modeling and design: Dead or alive? In Proceedings of the 9th ACM Int. Workshop on Data Warehousing and OLAP (DOLAP ‘06), (pp. 3-10) ACM Press

Silberschatz, Avi., Hank Korth, S. Sudarshan. Database System Concepts, Fifth Edition. New York : McGraw-Hill. 2006




DOI: https://doi.org/10.47007/komp.v9i2.500

Refbacks

  • Saat ini tidak ada refbacks.


VISITOR COUNTER:

gerEGGe

 

Web Analytics Made Easy - Statcounter View My Stats