Rifky Dwitama
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Penerapan Power BI dalam Analisis Perilaku Pendengar Musik Streaming Ramadhani Rahmania Luhri; Rifky Dwitama; Risman Lesmana; Raihan Rizqia Zaini Rosadi
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This study aims to analyze the behavior of music streaming listeners using a Business Intelligence (BI) approach based on Microsoft Power BI. The dataset used includes demographic attributes, user behavior, and musical features such as energy, danceability, valence, and BPM. The data was processed through the Extract, Transform, and Load (ETL) stages to ensure the quality, integrity, and consistency of the information before being visualized in an interactive dashboard. The analysis results show age distribution, genre preferences, music listening patterns, and in-depth comparisons between streaming platforms and subscription types. The findings show that young adults to middle-aged adults (32, 38, and 51 years old) dominate as active listeners, with a high preference for Jazz, Reggae, and EDM genres. Further analysis reveals that premium users have higher engagement and loyalty rates than free users, while geographical and local cultural factors also significantly influence music preferences, with countries such as Australia and South Korea showing the highest number of users. Power BI was chosen for its ease of integration, affordability, scalability, and full support for Data Analysis Expressions (DAX), which enables complex data modeling and dynamic, real-time analysis of user behavior. The developed dashboard not only presents descriptive visualizations but also has the potential to be expanded for predictive and prescriptive analysis to strengthen the recommendation system, improve user retention strategies, and support data-driven strategic decision-making in the digital music industry.