Development of An Audio Frequency Meter with Arduino and MAX4466 Sound Sensor

Authors

Jufrida , Hebat Shidow Falah , Nanda Hasbullah Sehab

DOI:

10.29303/jppipa.v9i11.6144

Published:

2023-11-25

Issue:

Vol. 9 No. 11 (2023): November

Keywords:

Arduino, Frequency meter, Max4466 sensor, Measuring tool

Research Articles

Downloads

How to Cite

Jufrida, Falah, H. S., & Sehab, N. H. (2023). Development of An Audio Frequency Meter with Arduino and MAX4466 Sound Sensor . Jurnal Penelitian Pendidikan IPA, 9(11), 10280–10286. https://doi.org/10.29303/jppipa.v9i11.6144
Crossref
Scopus
Google Scholar
Europe PMC

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Abstract

Sound is one of the areas of study in physics education. Based on the data, it was found that there were difficulties in students' understanding and misconceptions in studying the concept of sound and its parameters. The aim of this research is to design a sound frequency measuring instrument that can visualize one of the parameters in the sound concept: frequency. The research carried out is a type of development research with a 4D model. The results of this research are a series of sound frequency measuring instruments based on Arduino and a Max4466 sound sensor. The validity of the tool was tested with an average validation value of 0.95 in a very good category. The results of calibration using a tuning fork show that the Audio Frequency Meter can consistently measure sound frequencies with an average measurement deviation of 0.514 Hz. Through the results of this research, it is hoped that it can become a reference in developing practical tools for sound concepts.

References

Antoniadou, M., Tziovara, P., & Konstantopoulou, S. (2023). Evaluation of Noise Levels in a University Dental Clinic. Applied Sciences, 13(19). https://doi.org/10.3390/app131910869

Aygün, M., & Hacıoğlu, Y. (2022). Teaching the Sound Concept: A Review of Science and Physics Education Postgraduate Theses in Turkey. Athens Journal of Education, 9(2), 257–278. https://doi.org/10.30958/AJE.9-2-5

Badamasi, Y. A. (2014). The working principle of an Arduino. 2014 11th International Conference on Electronics, Computer and Computation (ICECCO), 1–4. https://doi.org/10.1109/ICECCO.2014.6997578

Barański, R., & Wszołek, G. (2013). Educational Implementation of a Sound Level Meter in the LabVIEW Environment. Archives of Acoustics, 38(1), 19-26. https://doi.org/10.2478/aoa-2013-0003

Barrett, S. F. (2013). Arduino Microcontroller Processing for Everyone!: Third Edition. Laramie: Morgan & Claypool Publishers.

Bean, L. W. (1989). Direct Measurement Of Reverberation Time With A Sound Level Meter. Applied Acoustics, 26(3), 231–234. https://doi.org/10.1016/0003-682X(89)90056-X

Chennareddy, A. & Reka, S.S. (2021). Design Implementation of Efficient Sleep Monitoring and Snoring level Detection Embedded System for Health Care. 2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), 605–608. https://doi.org/10.1109/RDCAPE52977.2021.9633756

Çoban, A., & Çoban, N. (2020). Using Arduino In Physics Experiments: Determining The Speed Of Sound In Air. Physics Education, 55(4), 043005. https://doi.org/10.1088/1361-6552/ab94d6

de-Almeida, M. J. B. M., Salvador, A., & Costa, M. M. R. R. (2014). Analogy For Drude’s Free Electron Model To Promote Students’ Understanding Of Electric Circuits In Lower Secondary School. Physics Education Research, 10(2), 20118–20118. https://doi.org/10.1103/PhysRevSTPER.10.020118

Donofre, A. C., Silva, I. J. O. D., & Castro Júnior, S. L. D. (2018). The Sensor To Estimate The Sound Pressure Level In Eggs. Computers and Electronics in Agriculture, 154, 420–425. https://doi.org/10.1016/j.compag.2018.09.027

Eridani, D., Rochim, A. F., & Firdananta, A. Z. (2022). Noise Monitoring System Development in a Library Based on The Internet of Things. IEEE Xplore, 24–28. https://doi.org/10.1109/ICE3IS56585.2022.10010007

Eshach, H., Lin, T.-C., & Tsai, C.-C. (2016). Taiwanese middle school students’ materialistic concepts of sound. Physical Review Physics Education Research, 12. https://doi.org/10.1103/PhysRevPhysEducRes.12.010119

Hanusukma, A., Yasitandi, R., & Nugraha, R. (2021). Comparison of Service Quality of Microcontroller and Smartphone-Based Noise Detection Products Using the Gronroos Model (Case Study: Health Service Waiting Room). 2021 International Conference Advancement in Data Science, E-Learning and Information Systems (ICADEIS), 1–6. https://doi.org/10.1109/ICADEIS52521.2021.9702051

Jaewijarn, C., & Wuttiprom, S. (2021). A new manometer with Arduino. Journal of Physics: Conference Series, 1719(1), 012092. https://doi.org/10.1088/1742-6596/1719/1/012092

Jha, R. K. (2020). Air Quality Sensing and Reporting System Using IoT. 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), 790–793. https://doi.org/10.1109/ICIRCA48905.2020.9182796

Jo, W., Hoashi, Y., Paredes Aguilar, L. L., Postigo-Malaga, M., Garcia-Bravo, J. M., & Min, B.-C. (2019). A low-cost and small USV platform for water quality monitoring. HardwareX, 6. https://doi.org/10.1016/j.ohx.2019.e00076

Khasanah, B. U., Doyan, A., Gunawan, G., Susilawati, S., Kartini, K., Hakim, S., & Muliyadi, L. (2019). Analysis Validation of Learning Media Quantum Phenomenon. Jurnal Penelitian Pendidikan IPA, 5(2), 189–193. https://doi.org/10.29303/jppipa.v5i2.265

Kusdiastuti, M., Harjono, A., Sahidu, H., & Gunawan, G. (2016). Pengaruh Model Pembelajaran Inkuiri Berbantuan Laboratorium Virtual Terhadap Penguasaan Konsep Fisika Peserta Didik. Jurnal Pendidikan Fisika Dan Teknologi, 2(3), 116–122. https://doi.org/10.29303/jpft.v2i3.298

Mabrouki, J., Azrour, M., Farhaoui, Y., & El Hajjaji, S. (2020). Intelligent System for Monitoring and Detecting Water Quality. In Big Data and Networks Technologies, 81, 172–182. http://dx.doi.org/10.1007/978-3-030-23672-4_13-1

Mello, F., Fonseca, W., & Mareze, P. (2021). MEMS digital microphone and Arduino compatible microcontroller: An embedded system for noise monitoring. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 3921-3932(12). https://doi.org/10.3397/IN-2021-2557

Mello, F., Fonseca, W., & Mareze, P. (2022). Autonomous Noise Monitoring System Based On Digital MEMS Microphones: Development Of A Smartphone Application For Remote Communication. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 5002-5992. https://doi.org/10.3397/IN_2022_0831

Minns, P. D. (2013). C Programming For the PC the MAC and the Arduino Microcontroller System. Liberty: AuthorHouse.

Nadar, A., & Sangam, R. (2019). Condition Monitoring of Rolling Element Bearing by Acoustic Analysis Using LabVIEW. Proceedings of International Conference on Intelligent Manufacturing and Automation, 697–709. http://dx.doi.org/10.1007/978-981-13-2490-1_65

Nascimento, E.O., Santos, D. A.M.D.D., Oliveira, F.L.D., Vieira, S.L., & Oliveira, L.N.D. (2018). Mobile Learning and Computational Simulation Applied in Environmental Acoustics. IEEE Latin America Transactions, 16(1), 265–271. https://doi.org/10.1109/TLA.2018.8291483

Pasupuleti, V. R., Uhasri, P. Kalyan, Srikanth, & H. K. Reddy. (2020). Air Quality Prediction Of Data Log By Machine Learning. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 1395–1399. https://doi.org/10.1109/ICACCS48705.2020.9074431

Piedrahita, R., Xiang, Y., Masson, N., Ortega, J., Collier, A., Jiang, Y., … Shang, L. (2014). The next generation of low-cost personal air quality sensors for quantitative exposure monitoring. Atmos. Meas. Tech., 7(10), 3325–3336. https://doi.org/10.5194/amt-7-3325-2014

Rahayu, S. (2015). Model Simulasi Dalam Mata Kuliah Strategi Pembelajaran Fisika. Jurnal Pendidikan Fisika Dan Teknologi, 1(2), 118–122. https://doi.org/10.29303/jpft.v1i2.246

Rico, A., Ruiz-González, A., Azula, O., & Guisasola, J. (2021). Learning difficulties about the sound model: A review of the literature | Dificultades de aprendizaje del modelo de sonido: Una revisión de la literatura. Ensenanza de Las Ciencias, 39(2), 5–23. https://doi.org/10.5565/rev/ensciencias.3217

Saravanan, K., Anusuya, E., Kumar, R., & Son, L. H. (2018). Real-time water quality monitoring using Internet of Things in SCADA. Environmental Monitoring and Assessment, 190(9), 556. https://doi.org/10.1007/s10661-018-6914-x

Schultz, B. G. (2019). The Schultz MIDI Benchmarking Toolbox for MIDI interfaces, percussion pads, and sound cards. Behavior Research Methods, 51(1), 204–234. https://doi.org/10.3758/s13428-018-1042-7

Sousa Jr., I. V. de, Miranda, J. O. S., Nascimento, A. C. S., & Araújo, F. R. V. (2020). Física experimental com Arduino: Ondas em uma corda tensionada. Revista Brasileira de Ensino de Física, 42. https://doi.org/10.1590/1806-9126-RBEF-2020-0177

Susilawati, Doyan, A., Wahyudi, Ayub, S., & Ardhuha, J. (2022). Concept understanding of students through core physics learning tools based on guided inquiry assisted by PhET virtual media. Journal of Physics: Conference Series, 2165(1), 012045–012045. https://doi.org/10.1088/1742-6596/2165/1/012045

Tanahoung, C., Chitaree, R., Soankwan, C., Sharma, M. D., & Johnston, I. D. (2009). The effect of Interactive Lecture Demonstrations on students’ understanding of heat and temperature: A study from Thailand. Research in Science & Technological Education, 27(1), 61–74. https://doi.org/10.1080/02635140802658909

Thiagarajan, S., Semmel, D. S., & Semmel, M. I. (1974). Instructional Development for Training Teachers of Exceptional Children: A Sourcebook. University of Minnesota: Leadership Training Institute/Special Education.

William, Y. V. U. Kiran, A. Rana, D. Gangodkar, I. Khan, & K. Ashutosh. (2022). Design and Implementation of IoT based Framework for Air Quality Sensing and Monitoring. In 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 197–200. https://doi.org/10.1109/ICTACS56270.2022.9988646

Author Biographies

Jufrida, Universitas Jambi

Hebat Shidow Falah, Universitas Jambi

Nanda Hasbullah Sehab, Universitas Jambi

License

Copyright (c) 2023 Jufrida, Hebat Shidow Falah, Nanda Hasbullah Sehab

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).