Studi Awal Sonifikasi Pada Data Gerak Parabola Berbantuan Arduino Uno R3 Atmega328

  • Yudhiakto Pramudya Universitas Ahmad Dahlan
  • Riza Hayyuningtias Universitas Ahmad Dahlan

Abstract

Parabolic motion is the typical phenomenon in classical mechanics. The students are able to understand the concept by reading the data in the parabolic function. However, there is limited material for visual impaired students to study the parabolic motion data. One of the solutions to overcome this problem is the parabolic motion experiment development using sonification method. Research has been carried out to analyze the accuracy of the frequency produced by the speakers in data conversion assisted by Arduino Uno. The research also analyzes the effect of elevation angle variations on the resulting frequency changes. The data collection process is carried out by analyzing the percentage of accuracy using the average technique of the data recorded by the Phyphox application. The data analysis of the Phyphox application is compared with the data obtained from the Tracker application. From the results of data analysis obtained the percentage value of the velocity for the angle 30o, 45o, and 70o were 99.92%, 99.67%, and 98.42%, respectively. Therefore, it can be said that the preliminary sonification study is feasible to be used in physics experiments on parabolic motion learning, especially for visual impaired students. The final plotting result of this research shows that the frequency versus time at each angle produces a graph in the parabolic form. While the effect of angle variations on frequency changes is that the larger the angle, the slower it will reach the peak frequency.

Keywords: Sonification, Visual Impaired, Parabolic Motion

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References

Blanco, Andrea Lorena Aldana., dkk. (2019). Cardioscope: Ecg Sonification And Auditory Augmentation Of Heart Sounds To Support Cardiac Diagnostic And Monitoring. Proceedings of ISon 2019, 6th Interactive Sonification Workshop, KTH Royal Institute of Technology. Sweden.

Fitriyanto, I., Sucahyo, I. (2016). Penerapan Software Tracker Video Analyzer Pada Praktikum Kinematika Gerak. (JIPF) Jurnal Inovasi Pendidikan Fisika, Vol. 05 No. 03.

Habibbulloh, M., & Madlazim. (2014). Penerapan Metode Analisis Video Perangkat lunak Tracker dalam Pembelajaran Fisika Konsep Gerak Jatuh Bebas Untuk Meningkatkan Keterampilan Proses Siswa Kelas X SMAN 1 Sooko Mojokerto. Jurnal Pendidikan Fisika Dan Aplikasinya, 4(1), 15–22.

Irbah, A., & Asrizal. (2019). Pembuatan tool pemodelan eksperimen gerak parabola dengan pengaturan sudut elevasi untuk analisis video tracker. Pilaar of Physics, 12, 9–16.

Khaleel, S.S. (2020). Arduino-Based Controller for Sequence Development of Automated Manufacturing System. Al-Khwarizmi Engineering Journal, 16(3), https://doi.org/10.22153/kej.2020.07.001

Komariyah, S., dkk (2018). Analisis Pemahaman Konsep Dalam Memecahkan Masalah Matematika Ditinjau Dari Minat Belajar Siswa. Jurnal Ilmiah Ilmu Sosial dan Humaniora, Vol.4, No.1, https://doi.org/10.30738/sosio.v4i1.1477

Nurseha, N. (2015). Pengaruh Model Pembelajaran Children Learning In Science Terhadap Keterampilan Proses Sains Dan Pemahaman Konsep Tentang Getaran Dan Gelombang Pada Kelas VIII Smp Negeri 5 Marawola. Mitra Sains, 3 (1). http://jurnal.untad.ac.id/jurnal/index.php/MitraSains/article/view/3865

Nuryantini, A. Y., dkk (2018). Constant speed motion analysis using a smartphone magnetometer. Physics Education, 53(6), 065021.

Purwadi, I. (2014). Pemodelan Gerak Parabola y ang Dipengaruhi Seretan serta Spin Efek. JRKPF UAD, 1(1), 11–18.

Retnaningati, D., & Sugiharto, B. (2013). Penerapan Model Pembelajaran Siklus Belajar (Learning Cycle) untuk Meningkatkan Keterampilan Proses Sains Siswa Kelas X-2 SMA Negeri 3 Surakarta Tahun Pelajaran 2010/2011. Bio-Pedagogi, 2(1), 53-60.

Rosdianto, Haris, et.al. (2019). Penerapan Model Pembelajaran ADDIE Untuk Meningkatkan Keterampilan Proses Sains Siswa Pada Materi Kinematika Gerak Lurus. JPFK (Jurnal Pendidikan Fisika dan Keilmuan), 5(1), 2549-4996, 2548-5806, http://doi.org/10.25273/jpfk.v5i1.2947

Sarjani, F., Yohandri, Y., & Kamus, Z. (2017). Pembuatan Set Eksperimen Gerak Parabola Digital Berbasis Mikrokontroler ATMega328 untuk Mengukur Parameter Gerak. Pillar of Physics, 10(1), 23–30.

Sawe, N., Chafe, C., & Treviño, J. (2020). Using Data Sonification to Overcome Science Literacy, Numeracy, and Visualization Barriers in Science Communication. Frontiers in Communication, 5 (July), 1–7. https://doi.org/10.3389/fcomm.2020.00046

Sulistri, E. (2016). The Investigation of Junior High School Students Science Process Skill in Terms of Some Variables. Paper presented at the International Seminar on Mathmatics, Science, and Computer Education, Bandung.

Sulistri, E., & Nugroho, S. E. (2018). The Development of Set Activity Based Assessment (ABA) to Measure Student Science Process Skill at Physics II.

Staacks, S., Hütz, S., Heinke, H., & Stampfer, C. (2018). Advanced tools for smartphone-based experiments: phyphox. Physics education, 53(4), 045009.

Young, Hugh D., Freedman, Roger A. (2012). Fisika Universitas Edisi Kesepuluh Jilid I. Jakarta: Erlangga. (Original Work Published

Zhao, H., Plaisant, C., Shneiderman, B., & Lazar, J. (2008). Data sonification for users with visual impairment: A case study with georeferenced data. ACM Transactions on Computer-Human Interaction, 15(1). https://doi.org/10.1145/1352782.1352786

Published
2022-06-18
How to Cite
Pramudya, Y., & Hayyuningtias, R. (2022). Studi Awal Sonifikasi Pada Data Gerak Parabola Berbantuan Arduino Uno R3 Atmega328. JIPFRI (Jurnal Inovasi Pendidikan Fisika Dan Riset Ilmiah), 6(1), 51-59. https://doi.org/10.30599/jipfri.v6i1.1483
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Articles