Data Warehouse Design on Student Data, Faculty of Computer Science, UKIM

Authors

  • Paul Rio Pelupessy Universitas Kristen Indonesia Maluku
  • Reynaldi Siwalette Universitas Kristen Indonesia Maluku

DOI:

https://doi.org/10.59934/jaiea.v5i2.2187

Keywords:

Data Warehouse, Student Data, Faculty of Computer Science UKIM, Waterfall

Abstract

The development of science and information technology cannot be separated from the role of universities as one of the institutions of secondary education. A university, especially within the scope of a university, certainly has a diverse number of students. Moreover, if the university has good quality of education and teaching quality, it will have an attraction for prospective students who want to continue their studies at university. The high number of students in a university, especially certain faculties, often results in hampered in the process of managing and analyzing student data. This research aims to design a Data Warehouse on student data of the Faculty of Computer Science, UKIM. This is done to facilitate the process of managing and analyzing student data of the Faculty of Computer Science. The Waterfall method is used in this study as a reference in designing a Data Warehouse. The results of this research can help the Faculty of Computer Science in terms of managing and analyzing student data.

Downloads

Download data is not yet available.

References

M. T. Hidayatullah, M. Asbari, M. I. Ibrahim, and A. H. H. Faidz, “Urgensi Aplikasi Teknologi dalam Pendidikan di Indonesia,” J. Inf. Syst. Manag., vol. 2, no. 6, pp. 70–73, 2023, [Online]. Available: https://jisma.org/index.php/jisma/article/view/785

“Universitas Kristen Indonesia Maluku.” Accessed: Jun. 01, 2024. [Online]. Available: https://ukim.ac.id/

E. Saputra, “Permodelan Data Warehouse Untuk Penjualan Ban Menggunakan Online Analytical Processing (OLAP),” J. Ilm. Inform. dan Ilmu Komput., vol. 2, no. 1, pp. 12–18, 2023, doi: 10.58602/jima-ilkom.v2i1.13.

N. P. N. Ardiyanti, M. F. Zulkarnain, I. W. W. K. Sandi, I. D. N. T. Hendrawan, and I. B. M. Mahendra, “Perancangan dan Implementasi Data Warehouse Penjualan (Studi Kasus: Northwind Sample Database),” JELIKU (Jurnal Elektron. Ilmu Komput. Udayana), vol. 10, no. 1, p. 175, 2021, doi: 10.24843/jlk.2021.v10.i01.p20.

S. F. Anshari and S. Retno, “Penerapan Metode Nine-Step Kimball Dalam Pengolahan Data History Menggunakan Data Warehouse dan Business Intelligence,” J. Ilmu Komput., vol. 16, no. 1, p. 69, 2023, doi: 10.24843/jik.2023.v16.i01.p07.

N. Adila and A. Andri, “Desain Dan Implementasi Data Warehouse Pada Perpustakaan Daerah Provinsi Sumatera Selatan,” J. Nas. Ilmu Komput., vol. 2, no. 1, pp. 33–50, 2021, doi: 10.47747/jurnalnik.v2i1.520.

T. Purwani, A. Wahyuni, A. P. Wicaksono, and H. D. Charunia, “Dashboard Untuk Visualisasi Data Penjualan Barang Pada Toko Puppets Skateboard Semarang,” J. Komputaki, vol. 7, no. 1, pp. 1–12, 2021.

Online Scholarship Competition, “Analisis Model Waterfall : Pengertian, Tahapan, Kelebihan dan kekurangan.” Accessed: Jun. 01, 2024. [Online]. Available: https://osc.medcom.id/community/analisis-model-waterfall-pengertian-tahapan-kelebihan-dan-kekurangan-4352

Downloads

Published

2026-02-15

How to Cite

Pelupessy, P. R., & Siwalette, R. (2026). Data Warehouse Design on Student Data, Faculty of Computer Science, UKIM. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(2), 3342–3347. https://doi.org/10.59934/jaiea.v5i2.2187