Prototipe data warehouse pada instansi pelayanan pajak daerah: Studi kasus pada Badan Pendapatan Daerah Kabupaten Badung

Authors

  • Devriady Pratama Bina Nusantara University

DOI:

https://doi.org/10.21512/emacsjournal.v2i1.5955

Keywords:

data warehouse, dimensional modelling, local tax

Abstract

Local taxation is one of the means by which local governments secure funding for development expenditure. Local tax data is crucial as it forms the basis for local governments’ budgetary planning. An integrated system is essential for obtaining comprehensive and valid data sources for the purposes of local policy analysis. This study will propose a data warehouse design for local tax administration bodies to enable comprehensive and rapid data analysis. The data warehouse design in this study will adopt Ralph Kimball’s data warehouse design methodology. The outcome of this study is a data warehouse design utilising data sources from several existing operational applications, which can be used as a source of comprehensive and rapid analytical data. The data warehouse design is capable of providing data integration mechanisms and broader analytical capabilities.

Dimensions

Author Biography

Devriady Pratama, Bina Nusantara University

Pengajar Binus Online Teknik Informatika

References

Chakiri, H., & El Mohajir, M. (2016). A data warehouse for local good governance monitoring and assessement—Case study of local registry office in Morocco. 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt), 52–58. https://doi.org/10.1109/CIST.2016.7804850

Giorgini, P., Rizzi, S., & Garzetti, M. (2008). GRAnD: A goal-oriented approach to requirement analysis in data warehouses. Decision Support Systems, 45(1), 4–21. https://doi.org/10.1016/j.dss.2006.12.001

Kim, G.-H., Trimi, S., & Chung, J.-H. (2014). Big-data applications in the government sector. Communications of the ACM, 57(3), 78–85. https://doi.org/10.1145/2500873

Narendra, A, A. Murpratiwi, S., Sudarma, M. (2017) design of e-grant application data warehouse.

Nasiri, A., Ahmed, W., Wrembel, R., & Zimányi, E. (2017). Requirements Engineering for Data Warehouses (RE4DW): From Strategic Goals to Multidimensional Model. In S. de Cesare & U. Frank (Eds.), Advances in Conceptual Modeling (Vol. 10651, pp. 133–143). https://doi.org/10.1007/978-3-319-70625-2_13

Paim, F., Castro, J. (2003) DWRF: An Approach for requirement definition and management of data warehouse systems.

Prakash, N., & Prakash, D. (2018). Requirements Engineering for Data Warehousing. In N. Prakash & D. Prakash, Data Warehouse Requirements Engineering (pp. 19–50). https://doi.org/10.1007/978-981-10-7019-8_2

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Published

2020-01-28

How to Cite

Pratama, D. (2020). Prototipe data warehouse pada instansi pelayanan pajak daerah: Studi kasus pada Badan Pendapatan Daerah Kabupaten Badung. Engineering, MAthematics and Computer Science Journal (EMACS), 2(1), 15–20. https://doi.org/10.21512/emacsjournal.v2i1.5955

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