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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Comprehensive Centralized-Data Warehouse for Managing Malaria Cases

Author 1: Nova Eka Diana
Author 2: Aan Kardiana

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2015.061005

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 10, 2015.

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Abstract: Tanah Bumbu is one of the most endemic areas in Indonesia for patients diagnosed with malaria diseases. Currently, available malaria case data were stored in disparate sources. Hence, it is difficult for the public health department to quickly and easily gather the useful information for determining strategic actions in tackling these cases. The purpose of this research is to build a data warehouse that integrates all malaria cases from disparate sources. This malaria data warehouse is a centralized architecture of galaxy or constellation scheme that consists of three fact tables and 13 dimension tables. SQL Server Integration Services (SSIS) is utilized to build ETL packages that load data from various sources to stages, dimensions, and fact tables in malaria data warehouse. Finally, a timely report can be generated by extracting the salient information located in malaria data warehouse.

Keywords: malaria case; centralized data warehouse; galaxy scheme; ETL; timely report

Nova Eka Diana and Aan Kardiana, “Comprehensive Centralized-Data Warehouse for Managing Malaria Cases” International Journal of Advanced Computer Science and Applications(IJACSA), 6(10), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061005

@article{Diana2015,
title = {Comprehensive Centralized-Data Warehouse for Managing Malaria Cases},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061005},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061005},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {10},
author = {Nova Eka Diana and Aan Kardiana}
}


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