Pembangunan Dashboard Inventory Pada Bisnis Ritel
DOI:
https://doi.org/10.21460/jutei.2021.52.231Keywords:
data mart, Extraction Transformation and Loading, star schema, dashboardAbstract
In this study, it will be explained how to create a data mart in a retail business to answer the KPI (Key Performance Indicator) inventory of goods which will be visualized in the form of a dashboard to make it easier for company executives to see the condition of inventory in stores. In making a data mart, it will be explained how the ETL (Extraction, Transformation and Loading) process from a transactional database from 9 stores becomes a data mart. The data mart in this study was built using a star schema and produced 4 dimension tables and 1 fact table. Star schema is used to simplify the query process when you want to display data on the dashboard. After the dashboard has successfully visualized the data, then testing is carried out on users using the UEQ (User Experience Questionnaire) method to find out how the user experience when using the dashboard. From this study, it was found that the dashboard was able to visualize the total inventory of goods, consigned goods inventory, non-consigned trunk inventory in monthly, semester, quarterly, and annual periods. And excellent results on 6 scales of User Experience Questionnaire (UEQ).
References
R. Kimball and M. Ross, The Data Warehouse Toolkit, 3rd ed., Indianapolis: Wiley, 2013, pp. 1-8.
M. L. O. Moh’d Alsqour, "Benefits of Knowledge Acquisition Systems for Management.," in Computer Science and Information Systems, Wroclaw, 2015.
K. I. Mohammed, "Data Warehouse Design and Implementation Based on Star," International Journal of Academic Research in Business and Social Sciences, vol. 9, no. 14, p. 25–38, 2019.
C. Berglund and A. Tenic, "Dashboard design and its relation to KPIs," 2020.
W. Inmon, Building the Data Warehouse Third Edition, New York: John Wiley & Sons, Inc., 2002.
K. L. Cindy, "Pembangunan Data Mart Untuk Fakta Pengunjung Rawat Jalan Pada Rs Telogorejo," 2010.
P. Bhatia, Data Mining and Data Warehousing Principles and Practical Techniques, Cambridge: Cambridge University Press, 2019.
H. L. F. M. C. R. Horst Meier, "Key performance indicators for assessing the planning and delivery of industrial services," 2nd International Through-life Engineering Services Conference, p. 99 – 104, 2013.
M. V. ,. S. Dragana Velimirović, "Role And Importance Of Key Performance," Serbian Journal of Management 6, pp. 63 - 72, 2010.
J. S. A. C. Steve Wexler, The Big Book of Dashboard Visualizing Your Data Using Real-World Business Scenarios, Wiley; 1st edition, 2017.
S. Few, Information Dashboard Design, Italy: O'Reilly, 2006, p. 223.
N. Lodhi, R. Babu and R. Pandey, "Column-Oriented Databases to Gain High Performance for Data Warehouse System," International Journal of Advancements in Research & Technology, Volume 2, vol. 2, no. 4, p. 235, 2013.
M. Schrepp, M. Schrepp and J. Thomaschewski, "Construction of a Benchmark for the User Experience," International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 4,, vol. 4, pp. 40 - 44, 2017.
M. Schrepp, J. Thomaschewski and A. Hinderks, "User Experience Questionnaire," 2018. [Online]. Available: https://www.ueq-online.org/.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Yusuf Giri Priyangga Adi, Budi Susanto, Maria Nila Anggia Rini
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish articles in JUTEI agree on the following rules:
1. The author grants non exclusive royalty free rights, and is willing to publish articles online and complete (full access). With such rights JUTEI reserves the right to save, transfers, manages in various forms, maintains and publishes articles while keeping the author's name as the copyright owner.
2. Each author contained in the article has contributed fully to the substance and intellectual, and is accountable to the public. If in the future there is a copyright infringement notification then this will be responsibility of the author, not JUTEI.
