Fakultas Teknologi Informasi

Classification of Indonesian Music Genres Using the Support Vector Machine Method

Penulis
Dosen:
  1. ASTI HERLIANA
Eksternal:
  1. DONI PURNAMA ALAMSYAH
Tanggal Terbit
08 Oktober 2022
Kategori
Seminar Internasional [Lainnya]
Penerbit
IEEE
Kota / Negara
Parapat / Indonesia
Halaman
1-6
ISBN
978-1-6654-5396-7
E-ISBN
https://doi.org/10.1109/ICORIS56080.2022.10031473
URL
https://ieeexplore.ieee.org/abstract/document/10031473
Abstrak
Music is one of the fields that has many enthusiasts in Indonesia. This is because music has a lot of good influence on the Indonesian people. Of course, every Indonesian people's tastes in music are different, and sometimes there are always people who don't recognize the genre of music because they have similarities in several things. The purpose of this research is to classify Music Genres to help the public recognize the Music Genres that exist in Indonesia. The method used is the Support vector machine method where this method has a way of working by inserting the kernel concept into a high-dimensional space. The results of this study are 87% Classification Accuracy with 8 classes, namely Genres Pop, Jazz, Dangdut, R&B, Reggae, Religion, Ska, and Rock.