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Research Article | Open Access |

Comprehensive Centralized-Data Warehouse for Managing Malaria Cases

Author 1: Nova Eka Diana Author 2: Aan Kardiana
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 10 · Published 2015

DOI: https://doi.org/10.14569/IJACSA.2015.061005

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

How to Cite this Article

Diana, N. E., & Kardiana, A. (2015). Comprehensive Centralized-Data Warehouse for Managing Malaria Cases. International Journal of Advanced Computer Science and Applications, 6(10). https://doi.org/10.14569/IJACSA.2015.061005

Diana, Nova Eka, and Aan Kardiana. "Comprehensive Centralized-Data Warehouse for Managing Malaria Cases." International Journal of Advanced Computer Science and Applications, vol. 6, no. 10, 2015, https://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},
  volume    = {6},
  number    = {10},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Nova Eka Diana and Aan Kardiana},
  doi       = {10.14569/IJACSA.2015.061005},
  url       = {https://doi.org/10.14569/IJACSA.2015.061005}
}

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