Data Warehouse Design For Sales Transactions on CV. Sumber Tirta Anugerah

Authors

  • Muhammad Dwiky Syaputra Universitas Islam Negeri Sultan Syarif Kasim Riau http://orcid.org/0000-0003-2040-3432
  • Alwis Nazir Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Siska Kurnia Gusti Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Suwanto Sanjaya Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Fadhilah Syafria Universitas Islam Negeri Sultan Syarif Kasim Riau

DOI:

https://doi.org/10.24014/coreit.v8i2.19800

Abstract

Many data warehouses are implemented in companies engaged in retail, CV. Sumber Tirta Anugerah is one of the paint product retail companies that has not implemented it yet. As time goes by, the sales transaction data is getting more and more difficult to process because it is still stored in Microsoft Excel. This is a serious problem in utilizing historical data to assist in making a decision. It is difficult to store sales data because the data is quite large and a lot. Based on the above problems, a data warehouse design is needed for sales transaction data. This data warehouse design uses Kimball's nine-steps method and star schema. To perform the ETL process (extract, transform, and load) using Pentaho software. In this data warehouse design, Tableau software is used to visualize the processed data into a graph and dashboard report. The result of this research is a data warehouse design using nine steps and a star schema which gets a transformation response time of 4048 MS. 

Author Biographies

Muhammad Dwiky Syaputra, Universitas Islam Negeri Sultan Syarif Kasim Riau

Dept. of Informatics Engineering

Alwis Nazir, Universitas Islam Negeri Sultan Syarif Kasim Riau

Dept. of Informatics Engineering

Siska Kurnia Gusti, Universitas Islam Negeri Sultan Syarif Kasim Riau

Dept. of Informatics Engineering

Suwanto Sanjaya, Universitas Islam Negeri Sultan Syarif Kasim Riau

Dept. of Informatics Engineering

Fadhilah Syafria, Universitas Islam Negeri Sultan Syarif Kasim Riau

Dept. of Informatics Engineering

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Published

2022-12-12