Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Information System Journal of Students‘ Research in Computer Science (JSRCS)
Ardi, Afifah Risti
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Students‘ Research in Computer Science (JSRCS)

 1 
Visualisasi Data untuk Analisis Musik Digital Menggunakan Power BI pada Data Spotify Ardi, Afifah Risti; Voutama, Apriade
Journal of Students‘ Research in Computer Science Vol. 6 No. 1 (2025): Mei 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/qpm0x949

Abstract

The development of digital technology has transformed the music industry with the emergence of streaming platforms such as Spotify. This study analyzes digital music data on Spotify using Power BI to identify music trends and user consumption patterns. The dataset consists of 6,300 songs with attributes such as artists, Genres, duration, popularity, and explicit status. Data visualization is employed to determine the artists with the most songs, the most popular Genres, the distribution of song duration, and the proportion of explicit and non-explicit songs. The results show that Metallica has the most songs, rock is the most popular Genre, most songs last between 2 and 6 minutes, and non-explicit songs are dominant. These findings provide insights for musicians, record labels, and streaming platform developers in designing music strategies aligned with listener preferences. 
Co-Authors Apriade Voutama Deni Deni Kurniawan, Angelina Isabella Susilowati, Stephany Cinta