Internet of Things (IoT) – Based for Noise Detection and Alert Notification in the Library
- DOI
- 10.2991/978-94-6463-386-3_23How to use a DOI?
- Keywords
- Noise Detection; Internet of Things; Alert Notification
- Abstract
Libraries are facilities available in education that can support the creation of quality education. In order to focus and concentrate when reading books or doing activities in the library, visitors certainly need an atmosphere that is quiet, comfortable, and less noisy. Based on State Minister of Environment KEP-48/MENLH/11/1996, the standard of library noise level ranged from 45 to 55 dB. The design of an Internet of Things-based for noise detection and alert notification in the library is made to control the noise level by humans or other things. The process of this device is that the sound sensor will detect sounds with a certain noise level. The signal read by the sensor is an analog voltage which will then be sent to the microcontroller NodeMCU6288 and converted from analog voltage to decibels. Then, the LCD displays alert notification, so that the noise level in the library room can be controlled. This device works if it reads the sound with a limit of >55 DB then the LCD screen will display the condition and the speaker will play the alert notification.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Renny Maulidda AU - Abdurrahman Abdurrahman AU - Agum Try Wardhana AU - Muhammad Amri Yahya PY - 2024 DA - 2024/02/27 TI - Internet of Things (IoT) – Based for Noise Detection and Alert Notification in the Library BT - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023) PB - Atlantis Press SP - 203 EP - 210 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-386-3_23 DO - 10.2991/978-94-6463-386-3_23 ID - Maulidda2024 ER -