<![CDATA[Student music preferences are a reflection of the cultural dynamics of the younger generation, which need to be understood comprehensively. The implementation of Business Intelligence (BI) can transform music preference data into strategic information for decision-making. The purpose of this research is to analyze the popularity levels of music genres and to implement a BI dashboard for visualizing the music preferences of the 2023 cohort of Library Science students. The method used is a descriptive quantitative research method with a sample of 66 students. Data was collected through online questionnaires and analyzed using the ETL (Extract, Transform, Load) process, then visualized in an interactive BI dashboard. The results of this study state that the Pop genre is the most popular (57.6%), followed by K-Pop (43.9%) and J-Pop (37.9%). There is a significant difference in preferences based on gender, where females predominantly prefer Pop (62.5%) while males tend to prefer Jazz and Rock (40% each). Spotify is the favorite platform (47%), with the majority of respondents listening to music for <2 hours/day (56%). It can be concluded that the BI implementation successfully mapped student music preferences comprehensively and provides a basis for strategic decision-making in the academic environment.]]>
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