@inproceedings{74484f123cb74046941774a4fb4eee3f,
title = "Gamelan Notation Generating Using Band Pass Filter for Saron Instrument",
abstract = "Gamelan notation generally has many variations depending on the artist who wrote it. The way to teach Javanese teacher gamelan to his students is not according to the standard notation because it is only through oral and dependent on memory. Then we need an analysis of the recording of gamelan music notation so that it becomes a musical notation to determine whether or not the notation has been played.The research was carried out with compositions of synthetic, semi-synthetic and acoustic music. The research was conducted to find saron tone notation with slendro tone. Sound data is analyzed by displaying signals in the time domain. The saron frequency is obtained by transforming the signal from the time domain to the frequency domain. Saron frequency obtained in the frequency range of 500 Hz to 1200 Hz. The results of the formation of notations in synthetic signals have 100% accuracy and semi synthetic at 100%. While the formation of musical notation on the acoustic signal of two instruments Saron and Bonang has an accuracy of 62.07% and accuracy in orchestral music is 92%.",
keywords = "band pass filter, gamelan, notation, saron",
author = "Yoyon Suprapto and Yuniarno, {Eko Mulyanto} and Kafiyatul Fithri",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019 ; Conference date: 19-11-2019 Through 20-11-2019",
year = "2019",
month = nov,
doi = "10.1109/CENIM48368.2019.8973259",
language = "English",
series = "2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019 - Proceeding",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019 - Proceeding",
address = "United States",
}