Implementasi Business Intelligence Untuk Analisis Data Kinerja Penjualan Menggunakan Power BI


Authors

  • Nur Andhini Putri Universitas Muhammadiyah Palembang, Palembang, Indonesia
  • Karnadi Karnadi Universitas Muhammadiyah Palembang, Palembang, Indonesia

DOI:

https://doi.org/10.47065/bulletincsr.v6i1.849

Keywords:

Data Analysis; Business Intelligence; Data Visualization; Decision Making; Power BI

Abstract

This study aims to apply the concept of Business Intelligence (BI) by implementing it using the Power BI tools to analyze furniture sales data. The BI approash uses technology and analytical methods to analyze, integrate, and present information needed by company. Power BI is a BI platform for interactive data visualization. This approach involves the process of collecting and integrating data, which is then presented in the form of interactive and easy-to-understand visualizations. The research methods used include a literature study related to BI concepts and technology, as well as experiment using Power BI to analyze sales data with various key performance indicators (KPIs) such as growth sales, average purchase value, profit margin, etc. the results will be interpreted to obtain valuable information for more accurate business decision making. This research is expected to provide a better understanding of the application of BI using Power BI in sales data analysis and can be used as a basis for companies in making accurate and effective business decisions to achieve company targets.

Downloads

Download data is not yet available.

References

F. Abu, “The implementation of lean manufacturing in the furniture industry: A review and analysis on the motives, barriers, challenges, and the applications,” J. Clean. Prod., vol. 234, pp. 660–680, 2019, doi: 10.1016/j.jclepro.2019.06.279.

A. Wibowo, Industri 4.0. Penerbit Yayasan Prima Agus Teknik, 2024.

H. Liao, “Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review,” Inf. Fusion, vol. 100, 2023, doi: 10.1016/j.inffus.2023.101970.

U. S. Sulistyawati, “Decoding Big Data?: Mengubah Data Menjadi Keunggulan Kompetitif dalam Pengambilan Keputusan Bisnis Abstrak,” J. Manaj. dan Teknol., vol. 1, no. 2, pp. 58–71, 2024.

N. L. S. Thatavarthi and S. R. Koppanathi, “Leveraging Journal of Core Engineering & Management,” Int. J. Core Eng. Manag. ISSN No 2348-9510, vol. 6, no. 09, pp. 47–56, 2020.

R. Akbar, M. Silvana, M. Jannah, and M. H. Hersyah, “Implementation of Business Intelligence for Sales Data Management Using Interactive Dashboard Visualization in XYZ Stores,” Int. Conf. Inf. Technol. Syst. Innov., pp. 2020–2022, 2020.

K. SM and M. Belwal, “Performance Dashboard,” Int. Conf. Smart Technol. Smart Nation, pp. 1–7, 2017.

N. A. El-Adaileh and S. Foster, “Successful business intelligence implementation: a systematic literature review,” J. Work Appl. Manag., vol. 11, no. 2, pp. 121–132, 2019, doi: 10.1108/JWAM-09-2019-0027.

Sudaryono, “Implementation of Information Planning and Strategies Industrial Technology 4.0 to Improve Business Intelligence Performance on Official Site APTISI,” Journal of Physics Conference Series, vol. 1179, no. 1. 2019. doi: 10.1088/1742-6596/1179/1/012111.

R. Kimball and M. Ross, The data warehouse toolkit: The definitive guide to dimensional modeling. John Wiley & Sons, 2013.

L. T. Moss and S. Atre, Business intelligence roadmap: the complete project lifecycle for decision-support applications. Addison-Wesley Professional, 2003.

T. Tumini and E. S. Subekti, “Implementasi business intelligence untuk menganalisis data proses manufaktur menggunakan google data studio,” J. Ilm. Tek. Inform. dan Komun., vol. 3, no. 3, pp. 143–151, 2023.

I. G. I. Sudipa, I. B. G. Sarasvananda, H. Prayitno, I. N. T. A. Putra, R. Darmawan, and D. A. WP, Teknik Visualisasi Data. PT. Sonpedia Publishing Indonesia, 2023.

J. Moore, “Data visualization in support of executive decision making,” Interdiscip. J. Inf. Knowl. Manag., vol. 12, pp. 125–138, 2017, doi: 10.28945/3687.

E. Marvaro and R. S. Samosir, “Penerapan Business Intelligence dan Visualisasi Informasi di CV. Mitra Makmur Dengan Menggunakan Dashboard Tableau,” J. Sains dan Teknol., vol. 8, no. 2, pp. 2775–5576, 2021, doi: https://doi.org/10.53008/kalbiscientia.v8i2.197.

M. A. Lubis and K. D. Tania, “Implementasi Business Intelligence untuk Visualisasi Data pada PT PP London Sumatra Indonesia,” J. Sist. Inf., vol. 13, no. 6, pp. 2601–2615, 2024.

Tumini Tumini and Endang Sri Subekti, “Implementasi Business Intelligence Untuk Menganalisis Data Proses Manufaktur Menggunakan Google Data Studio,” J. Ilm. Tek. Inform. dan Komun., vol. 3, no. 3 SE-Articles, pp. 143–151, Sep. 2023, doi: 10.55606/juitik.v3i3.625.

J. G. Stadler, K. Donlon, J. D. Siewert, T. Franken, and N. E. Lewis, “Improving the Efficiency and Ease of Healthcare Analysis Through Use of Data Visualization Dashboards,” vol. 4, no. 2, pp. 129–135, 2016, doi: 10.1089/big.2015.0059.

Y. P. Tsang, “Unlocking the power of big data analytics in new product development: An intelligent product design framework in the furniture industry,” J. Manuf. Syst., vol. 62, pp. 777–791, 2022, doi: 10.1016/j.jmsy.2021.02.003.

E. Camizuli and E. J. Carranza, “Exploratory data analysis (EDA),” Encycl. Archaeol. Sci., pp. 1–7, 2018.

J. A. Chiprés, “Exploratory and spatial data analysis (EDA-SDA) for determining regional background levels and anomalies of potentially toxic elements in soils from Catorce-Matehuala, Mexico,” Appl. Geochemistry, vol. 24, no. 8, pp. 1579–1589, 2009, doi: 10.1016/j.apgeochem.2009.04.022.

M. Apoorva, "Global Superstore Dataset," Kaggle.com. Accessed: Sept. 4, 2024. [Online]. Available: https://www.kaggle.com/datasets/apoorvaappz/global-super-store-dataset/data

Microsoft, "What is Power BI," Microsoft.com. Accessed: Feb. 10, 2025. [Online]. Available: https://learn.microsoft.com/en-us/power-bi/fundamentals/power-bi-overview

Kementrian Pendidikan Tinggi, Sains, dan Teknologi Republik Indonesia, "Elastisitas Permintaan dan Penawaran," Kemdiktisaintek.com. Accessed: Feb. 2, 2025. [Online]. Available: https://lmsspada.kemdiktisaintek.go.id/mod/resource/view.php?id=110491

R. Antoni and M. Meyer, "5 Easy Ways to Calculate Shipping Cost to Sales Ratio," BeProfit. Accessed: Feb. 2, 2025. [Online]. Tersedia: https://beprofit.co/a/blog/easy-ways-to-calculate-shiping-cost-to-sales-ratio

I. Ismail, "Average Order Value: Pengertian, Manfaat, dan Cara Menghitungnya," bliss.id. Accessed: Feb. 2, 2025 [Online]. Available: https://bliss.id/blog/pengertian-average-order-value/


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Implementasi Business Intelligence Untuk Analisis Data Kinerja Penjualan Menggunakan Power BI

Dimensions Badge

ARTICLE HISTORY

Published: 2025-12-06

Abstract View: 745 times
PDF Download: 579 times

How to Cite

Nur Andhini Putri, & Karnadi, K. (2025). Implementasi Business Intelligence Untuk Analisis Data Kinerja Penjualan Menggunakan Power BI. Bulletin of Computer Science Research, 6(1), 20-28. https://doi.org/10.47065/bulletincsr.v6i1.849

Issue

Section

Articles