PERANCANGAN SISTEM MONITORING KEBISINGAN RUANG KELAS MENGGUNAKAN METODE PROTOTYPE BERBASIS ARDUINO UNO
Keywords:
Arduino Uno, Kebisingan Kelas, Metode Prototype, Notifikasi Persuasif, Simulator Wokwi.
Abstract
Kebisingan di ruang kelas dapat mengganggu konsentrasi belajar siswa. Penelitian ini bertujuan merancang sistem monitoring kebisingan otomatis berbasis Arduino Uno dengan metode Prototype menggunakan Simulator Wokwi. Sistem ini mengintegrasikan simulasi sensor suara (potensiometer sebagai pengganti sensor suara), LCD 16x2, dan Buzzer untuk memberikan peringatan visual yang persuasif. Hasil simulasi menunjukkan sistem mampu merespons fluktuasi suara secara real-time dalam tiga tingkatan: Tenang (<50 dB), Peringatan Awal (50–70 dB), dan Sangat Ribut (>70 dB). Notifikasi pada LCD berubah otomatis dari apresiasi ("Anak Pintar") menjadi ajakan tertib ("Suara Pelan Yuk!") sesuai intensitas suara. Buzzer aktif hanya pada kondisi sangat ribut sebagai peringatan auditori tambahan. Pendekatan ini berbeda dari sistem konvensional yang cenderung represif karena menggantikan alarm keras dengan pesan persuasif yang ramah anak. Disimpulkan bahwa pendekatan antarmuka persuasif ini efektif sebagai solusi manajemen kelas yang edukatif dan ramah anak, serta berpotensi dikembangkan lebih lanjut dengan penyimpanan data atau notifikasi jarak jauh untuk guru.
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References
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[5] E. S. Kumar, “Arduino Working Principle and It’s Use in Education,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 10, no. 4, pp. 2314–2319, 2022, doi: 10.22214/ijraset.2022.41784.
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[10] F. Gheller, G. Spicciarelli, P. Scimemi, and B. Arfé, “The Effects of Noise on Children’s Cognitive Performance: A Systematic Review,” Environ. Behav., vol. 55, no. 8–10, pp. 698–734, 2023, doi: 10.1177/00139165241245823.
[11] R. A. N. Rifqah, S. W. Suciyati, A. Surtono, and G. A. Pauzi, “Design of a Classroom Noise Monitoring Tool Using a KY-037 Sound Sensor Based on Wemos D1R1,” J. Energy, Mater. Instrum. Technol., vol. 4, no. 4, pp. 125–135, 2023, doi: 10.23960/jemit.v4i4.118.
[12] M. Tupac-Yupanqui, C. Vidal-Silva, L. Pavesi-Farriol, A. Sanchez Ortiz, J. Cardenas-Cobo, and F. Pereira, “Exploiting Arduino Features to Develop Programming Competencies,” IEEE Access, vol. 10, pp. 20602–20615, 2022, doi: 10.1109/ACCESS.2022.3150101.
[13] M. Desmuliati, S. Wahyuni, R. Amelina, and Zulrahmadi, “PEMANFAATAN TEKNOLOGI CLOUD COMPUTING DALAM MANAJEMEN KEUANGAN PADA BENGKEL CALVIN MOTOR DENGAN MODEL WATERFALL,” Digit. Businness Insight J., vol. 1, no. 2, pp. 132–144, 2025.
[14] R. S. Pressman, Software Engineering. 2010. doi: 10.1145/336512.336521.
[15] W. Mukhlis, Yohandri, Yulkifli, and Mairizwan, “Smart Garden System Based on Internet of Things using NodeMCU ESP8266,” Pillar Phys., vol. 16, no. 2, pp. 99–108, 2023, doi: 10.24036/13455171074.
[16] V. Kadiyan, M. Singh, A. Kumar, A. Saini, and H. Singh, “Smart Home Automation System Based on Li-Fi Technology,” Int. J. Innov. Res. Eng. Manag., vol. 7, no. 5, pp. 1–8, 2023, doi: 10.59256/ijire.2023040397.
[17] E. M. S. Kavedia and E. S. V. Bhambhure, “Arduino a Development Tools for Embedded System and IOT,” Softw. Eng. Its Appl., no. June 2020, pp. 17–31, 2021.
[18] S. Tselegkaridis, T. Sapounidis, and D. Papakostas, “Learning Circuits and Coding with Arduino Board in Higher Education Using Tangible and Graphical User Interfaces,” Inf., vol. 15, no. 5, pp. 1–16, 2024, doi: 10.3390/info15050245.
[19] A. Maspupah, “Literature Review: Advantages and Disadvantages of Black Box and White Box Testing Methods,” Techno Nusa Mandiri J. Comput. Inf. Technol., vol. 21, no. 2, pp. 151–162, 2024, doi: 10.33480/techno.v21i2.5776.
[20] F. Outferdine, K. Cherifi, D. Belkhiri, B. Bouachrine, and M. Ajaamoum, “Implementation of a low-cost intelligent street light system using internet of things,” Indones. J. Electr. Eng. Comput. Sci., vol. 33, no. 3, pp. 1387–1396, 2024, doi: 10.11591/ijeecs.v33.i3.pp1387-1396.
[21] M. A. Syahansyah, Y. Heru, and R. Saptono, “Design and Build a Coconut Ripeness Classifier Using Sound Sensor,” J. Telecommun. Netw., vol. 12, no. 2, pp. 85–88, 2022, doi: 10.33795/jartel.v12i2.311.
[22] I. A. Ghashim and M. Arshad, “Internet of Things (IoT)-Based Teaching and Learning: Modern Trends and Open Challenges,” Sustain., vol. 15, no. 21, pp. 1–21, 2023, doi: 10.3390/su152115656.
[23] S. Fakhar et al., “Smart Classroom Monitoring Using Novel Real-Time Facial Expression Recognition System,” Appl. Sci., vol. 12, no. 23, pp. 1–18, 2022, doi: 10.3390/app122312134.
[24] L. Wilani, M. Peslinof, and J. Pebralia, “Rancang Bangun Sistem Monitoring Kebisingan pada Ruangan dengan Sensor Suara GY-MAX4466 Berbasis Internet of Things (IoT),” STRING (Satuan Tulisan Ris. dan Inov. Teknol., vol. 7, no. 3, pp. 319–328, 2023, doi: 10.30998/string.v7i3.15492.
Published
2026-06-30
How to Cite
Zulrahmadi, Al Fauzan Hakiki, & Bima Maulana. (2026). PERANCANGAN SISTEM MONITORING KEBISINGAN RUANG KELAS MENGGUNAKAN METODE PROTOTYPE BERBASIS ARDUINO UNO . JURNAL PERANGKAT LUNAK, 8(2), 156-167. https://doi.org/10.32520/jupel.v8i2.5079
Section
Articles
Copyright (c) 2026 Zulrahmadi, Al Fauzan Hakiki, Bima Maulana
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
