Operational Data Analysis and Visualization of PT XYZ Using Business Intelligence Approach with Microsoft Power BI

The study aims to analyze and visualize operational data at PT XYZ, a furniture manufacturing company, utilizing Business Intelligence methods with Microsoft Power BI. A systematic approach was employed, encompassing data import, transformation, cleaning, and visualization, to develop an interactive dashboard that enhances decision-making. Key findings indicate that certain production sections consistently met or exceeded their targets, while others revealed opportunities for improvement. Insights into service wage distribution, standard time requirements, and target realizations were derived from the dashboard. The research identified sections with high service wages and highlighted areas with elevated standard times, suggesting a need for efficiency enhancements. Recommendations include focusing on underperforming sections and optimizing operations to reduce service wages. The study concludes that the developed dashboard supports data-driven decision-making, ultimately contributing to improved operational performance within the companys.

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Publication Details

Journal
Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Published
2025-02-15
DOI
https://doi.org/10.59934/jaiea.v4i2.722
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
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article

Operational Data Analysis and Visualization of PT XYZ Using Business Intelligence Approach with Microsoft Power BI

M.Soc. Sc. Agus Setiawan, Yekti Condro Winursito
1 citations
Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Big Data and Business Intelligence
2.28
article

Operational Data Analysis and Visualization of PT XYZ Using Business Intelligence Approach with Microsoft Power BI

M.Soc. Sc. Agus Setiawan, Yekti Condro Winursito
article en
1 citations

Abstract

The study aims to analyze and visualize operational data at PT XYZ, a furniture manufacturing company, utilizing Business Intelligence methods with Microsoft Power BI. A systematic approach was employed, encompassing data import, transformation, cleaning, and visualization, to develop an interactive dashboard that enhances decision-making. Key findings indicate that certain production sections consistently met or exceeded their targets, while others revealed opportunities for improvement. Insights into service wage distribution, standard time requirements, and target realizations were derived from the dashboard. The research identified sections with high service wages and highlighted areas with elevated standard times, suggesting a need for efficiency enhancements. Recommendations include focusing on underperforming sections and optimizing operations to reduce service wages. The study concludes that the developed dashboard supports data-driven decision-making, ultimately contributing to improved operational performance within the companys.

Journal of Artificial Intelligence and Engineering Applications (JAIEA)Vol. 4(2)
University of Pembangunan Nasional Veteran Jawa Timur (ID)
Openalex Percentile: Top 15%
Big Data and Business Intelligence
2.28
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Operational Data Analysis and Visualization of PT XYZ Using Business Intelligence Approach with Microsoft Power BI — M.Soc. Sc. Agus Setiawan, Yekti Condro Winursito · Journal of Artificial Intelligence and Engineering Applications (JAIEA) (2025) | TGRS Research Map | TGRS