Prototipe data warehouse pada instansi pelayanan pajak daerah: Studi kasus pada Badan Pendapatan Daerah Kabupaten Badung
DOI:
https://doi.org/10.21512/emacsjournal.v2i1.5955Keywords:
data warehouse, dimensional modelling, local taxAbstract
Perpajakan daerah merupakan salah satu sarana pemerintah daerah untuk mendapatkan anggaran belanja pembangunan. Data perpajakan daerah sangat penting karena menjadi dasar rencana kemampuan pemerintah daerah untuk membuat anggaran. Sistem yang terintegrasi menjadi sangat penting guna mendapatkan sumber data yang lengkap dan valid untuk kepentingan analisis kebijakan daerah. Penelitian ini akan memberikan rancangan data warehouse bagi instansi pengelola pajak daerah guna pengelolaan data analisis yang lengkap dan cepat. Perancangan data warehouse dalam penelitian ini akan mengadopsi perancangan data warehouse oleh Ralph Kimball. Hasil dari penelitian ini adalah berupa rancangan data warehouse dengan sumber data dari beberapa aplikasi operasional yang ada yang dapat digunakan sebagai sumber data analisis yang lengkap dan cepat. Perancangan data warehouse mampu memberikan mekanisme integrasi data dan kemampuan analisis yang lebih luas.Plum Analytics
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
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)
