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Identification Noise monitoring for students in SMAN 1 Tapaktuan

Authors

  • Alfy Ariswan Politeknik Aceh Selatan, Indonesia
  • Dirja Nur Ilham Politeknik Aceh Selatan http://orcid.org/0000-0001-9910-2661
  • Rudi Arif Candra Politeknik Aceh Selatan, Indonesia
  • Arie Budiansyah Universitas Syiah Kuala, Indonesia
  • Fauzun Atabiq Politeknik Negeri Batam, Indonesia

DOI:

10.47709/brilliance.v1i2.1217

Keywords:

Sound Sensor, dfplayer, Blynk, Intenet Of Things

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Abstract

A high school is a place that is used as a place for the learning and teaching process, so a comfortable place is needed from disturbances in the study room. The Design System for Noise Monitoring Devices as an Effort to Minimize Noise Based on the Internet of Things (IoT) is designed to create comfort in the learning and teaching process at SMAN Tapaktuan so that teachers can concentrate without disturbing the noise generated by students. This tool is controlled by nodemcu and a sound sensor as a noise detector with an appropriate output by sending notifications to the Blynk Application. How the tool works when the sound sensor detects a noise level between 30 dB to 49 dB then dfplayer will issue a warning in the form of a warning "this room is noisy" and send a notification to the blynk application with the text form "room A is noisy" if the sensor detects above 50 dB then a warning loud sound will be issued by Dfplayer in the form of sound and at the same time send notifications to the blynk application. The purpose of the tool Any noise detected by the sound sensor then dfplayer will issue a small or loud warning and send a notification to the blynk application.

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References

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ARTICLE Published HISTORY

Submitted Date: 2021-12-02
Accepted Date: 2021-12-02
Published Date: 2021-12-03

How to Cite

Ariswan, A., Ilham, D. N., Candra, R. A., Budiansyah, A., & Atabiq, F. (2021). Identification Noise monitoring for students in SMAN 1 Tapaktuan. Brilliance: Research of Artificial Intelligence, 1(2). https://doi.org/10.47709/brilliance.v1i2.1217

Issue

Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021

Section

Articles

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Copyright (c) 2021 Alfy Ariswan, Dirja Nur Ilham, Rudi Arif Candra, Arie Budiansyah, Fauzun Atabiq

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

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