Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Natassa Anastasya
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pengelompokan Musik berdasarkan Emosi menggunakan Metode Transformasi Haar Wavelet Natassa Anastasya; Agus Wahyu Widodo; Muh. Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 11 (2019): November 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.564 KB)

Abstract

Music consists of various genres and emotions, therefore it is important to group the music according to what the listener wants both based on the genre and the emotions they feel. As an example of an online music application that can automatically group music that makes it easy for listeners to play the desired music, music grouping is seen based on the similarity of certain characteristics. Another example is the Radio music player, where a common problem with radio broadcasters is to play and choose what songs to play. With the grouping of music automatically this will certainly be very helpful and more efficient for playing these songs automatically. Then this research will cluster songs based on the emotions of Broken Heart and Happy with feature extraction using the Haar Wavelet transformation method, then clustering using K-Means. The results of clustering will be evaluated using purity. The test is based on the song structure, a combination of statistical features, and the Haar Wavelet coefficient. Based on the results of all tests carried out obtained clustering with the highest purity value of 0.62.
Co-Authors Agus Wahyu Widodo Muh. Arif Rahman