Perancangan Dashboard untuk Analisis Penjualan pada Perusahaan X

Company X is one of the companies engaged in the food processing industry, requires a data management system that can produce accurate information in supporting sales activities. Therefore, this research aims to design a dashboard using the Business Intelligence Roadmap approach. In the analysis process using the Time Series Moving Average method to perform the sales forecasting process and clustering for product grouping. The stages of this research begin with the identification of problems related to this research and the collection of sales data for 3 years (2022-2024). The obtained data is then processed through the ETL (Extract, Transformation, Load) process using Pentaho Data Integration and visualized using Power BI Desktop. The results of this study are in the form of an interactive dashboard designed as a tool for monitoring and analyzing sales to help companies make more informed and effective business decisions.

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Publication Details

Journal
Reslaj Religion Education Social Laa Roiba Journal
Published
2025-09-02
DOI
https://doi.org/10.47467/reslaj.v7i9.8524
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Perancangan Dashboard untuk Analisis Penjualan pada Perusahaan X

Dedi Trisnawarman, Nathanael Gumarus
1 links
Reslaj Religion Education Social Laa Roiba Journal
Management and Optimization Techniques
article

Perancangan Dashboard untuk Analisis Penjualan pada Perusahaan X

Dedi Trisnawarman, Nathanael Gumarus
article en

Abstract

Company X is one of the companies engaged in the food processing industry, requires a data management system that can produce accurate information in supporting sales activities. Therefore, this research aims to design a dashboard using the Business Intelligence Roadmap approach. In the analysis process using the Time Series Moving Average method to perform the sales forecasting process and clustering for product grouping. The stages of this research begin with the identification of problems related to this research and the collection of sales data for 3 years (2022-2024). The obtained data is then processed through the ETL (Extract, Transformation, Load) process using Pentaho Data Integration and visualized using Power BI Desktop. The results of this study are in the form of an interactive dashboard designed as a tool for monitoring and analyzing sales to help companies make more informed and effective business decisions.

Reslaj Religion Education Social Laa Roiba JournalVol. 7(9)
Tarumanagara University (ID)
Openalex Percentile: Top 65%
Management and Optimization Techniques
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