Development of An Audio Frequency Meter with Arduino and MAX4466 Sound Sensor
DOI:
10.29303/jppipa.v9i11.6144Published:
2023-11-25Issue:
Vol. 9 No. 11 (2023): NovemberKeywords:
Arduino, Frequency meter, Max4466 sensor, Measuring toolResearch Articles
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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). FÃsica experimental com Arduino: Ondas em uma corda tensionada. Revista Brasileira de Ensino de FÃsica, 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
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