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Contact Name
Hasriadi
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mail.edutek@gmail.com
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+6285242463460
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mail.edutek@gmail.com
Editorial Address
Jl. Makkarani Komp. Green Riyousa Blok E. No 12 A Panciro, Kab. Gowa, Provinsi Sulawesi Selatan
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INDONESIA
Educational Journal of Learning Technology
ISSN : 30469546     EISSN : 30469546     DOI : https://doi.org/10.58230/edutech.v1i2.6
(1) Science education: Educational Innovation, Educational Psychology, Primary and Secondary Education, Vocational Education, Curriculum Development, Instructional Strategies, Learning Processes, (2) Education in Learning: New Learning Models and Applications, Learning Models, Curriculum, Learning Innovation, Vocational Education, (3) Educational Technology: Learning Technology, Media Education, Virtual Education, Educational Software, Digital Technology in Education, Multimedia Learning, E-Learning, Internet Learning Applications
Articles 61 Documents
Development of a Fourier Transform-Based Gamelan Signal Processing Simulation Using Python and GNU Octave to Support Problem-Solving Skills and Independent Learning Aditya Yoga Purnama; Fitria Sulistyowati; Widodo Widodo; Alfat Khaharsyah; Ragil Saputri; Rudolfus Soares; Radhiatul Amalia
Educational Journal of Learning Technology Vol. 3 No. 3 (2026): Educational Journal of Learning Technology (May 2026)
Publisher : South Sulawesi Education Development (SSED)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/edutech.v3i3.85

Abstract

Science education today requires integrating technological competencies to prepare students for global competition; however, unsupportive learning habits and limited use of technology contribute to low levels of problem-solving skills and learning independence. This study aims to develop a simulation of gamelan musical instrument signal processing using open-source computational platforms, namely Python and GNU Octave. The research employed a research and development (R&D) approach based on the Borg and Gall model, limited to the initial product development stage. Fourier Transform analysis was applied to convert sound signals from the time domain into the frequency domain. The simulation successfully identified the gamelan’s natural frequency at 328 Hz via spectral analysis, with consistent results on both platforms. The developed simulation provides visualization of time-series waveforms and frequency spectra and is intended as a computational learning medium for physics instruction, particularly in wave topics. Although field testing and effectiveness evaluation were not conducted, the simulation is designed to support the development of students’ problem-solving skills and learning independence in future implementations.