A Model of Computation-based Naming System for Musical Elements of Java Traditional Song

Syarif, Arry Maulana and Azhari, Azhari and Suprapto, Suprapto and Hastuti, Khafiizh (2020) A Model of Computation-based Naming System for Musical Elements of Java Traditional Song. In: International Conference on Information Technology and Digital Applications 2019, ICITDA 2019 Yogyakarta 15 November 2019.

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Abstract

In a research which involves mathematics and music, information of pitch, such as note, bars, melody line, beat, tempo, and others, was used as dataset to be processed by computer in generating or predicting musical objects. Helmholtz notation and scientific pitch notation used in western music are formal notation writing systems that have been applied in the computer science research as in the topics of algorithmic composition or music information retrieval. A Model of computation-based naming system for musical elements of Java traditional song called gendhing scientific pitch notation or GSPN was proposed to provide a method of information data recording of pitch in a term that can be read and write by human and computer. The method was conducted in two phases, which were Identification of musical elements and formulation of computation-based naming system. The model was successfully implemented in a simple computer program that has a task to read a data in GSPN format and to write by generating a music sheet based on the input data. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 1; Conference name: International Conference on Information Technology and Digital Applications 2019, ICITDA 2019; Conference date: 15 November 2019; Conference code: 160590; All Open Access, Bronze Open Access
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department
Depositing User: Sri JUNANDI
Date Deposited: 11 Jun 2025 08:00
Last Modified: 11 Jun 2025 08:00
URI: https://ir.lib.ugm.ac.id/id/eprint/16790

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