Rajagukguk, Juniastel and Sari, Nurdieni Eka (2018) DETECTION SYSTEM OF SOUND NOISE LEVEL (SNL) BASED ON CONDENSER MICROPHONE SENSOR. In: International Conference on Innovation in Education, Science and Culture (ICIESC-2017), 8-9 Nov 2017, Medan.
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Abstract
The research aims to know the noise level by using the Arduino Uno as data processing input from sensors and called as Sound Noise Level (SNL). The working principle of the instrument is as noise detector with the show notifications the noise level on the LCD indicator and in the audiovisual form. Noise detection using the sensor is a condenser microphone and LM 567 as IC op-amps, which are assembled so that it can detect the noise, which sounds are captured by the sensor will turn the tide of sinusoida voice became sine wave energy electricity (altering sinusoida electric current) that is able to responded to complaints by the Arduino Uno. The tool is equipped with a detector consists of a set indicator LED and sound well as the notification from the text on LCD 16*2. Work setting indicators on the condition that, if the measured noise > 75 dB then sound will beep, the red LED will light up indicating the status of the danger. If the measured value on the LCD is higher than 56 dB, sound indicator will be beep and yellow LED will be on indicating noisy. If the noise measured value <55 dB, sound indicator will be quiet indicating peaceful from noisy. From the result of the research can be explained that the SNL is capable to detecting and displaying noise level with a measuring range 50-100 dB and capable to delivering the notification noise in audiovisual.
Item Type: | Conference or Workshop Item (Paper) |
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Keywords: | Sound; Noise detection; Condenser microphone |
Subjects: | Q Science > QC Physics Q Science > QC Physics > QC120 Descriptive and Experimental mechanics Q Science > QC Physics > QC221 Acoustics. Sound |
Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Fisika |
Depositing User: | Mrs Harly Christy Siagian |
Date Deposited: | 16 Apr 2020 10:24 |
Last Modified: | 16 Apr 2020 10:24 |
URI: | https://digilib.unimed.ac.id/id/eprint/39107 |