Open AccessPERANCANGAN SISTEM PENGENALAN NADA ANGKLUNG MENGGUNAKAN DISCRETE FOURIER TRANSFORM
Author(s) -
Sindhi Pradnya Nareswari,
Lusiana Haryanti,
Muhammad Fathoni Hervi Hermawan,
Apri Junaidi
Publication year - 2018
Publication title -
jitter (jurnal ilmiah teknologi informasi terapan)/jitter
Language(s) - English
Resource type - Journals
eISSN - 2686-0333
pISSN - 2407-3911
DOI - 10.33197/jitter.vol4.iss3.2018.169
Subject(s) - popularity , tone (literature) , computer science , musical , multimedia , artificial intelligence , speech recognition , psychology , visual arts , art , social psychology , literature
Angklung is one of Indonesia's traditional musical instruments that has become famous. This popularity certainly invites a lot of people's interest to learn angklung instruments. Online learning are one of the learning technique that is popular to be used. The problem is, not all people who use this learning technique understand the tone that is used in the video. Therefore, this study will create a breakthrough that can help these problems. The result wich is expected is this design can help people recognize tones and improve their skills in music