Azar, Sabri Hasan (2022) PERANCANGAN PENGENDALI SMART AMPLIFIER DENGAN IMAGE PROCESSING BERBASIS IOT. Undergraduate (S1) thesis, Universitas Muhammadiyah Malang.

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Abstract

The queue counter requires people to queue regularly from the very front to the back. The people who are queuing will wait for information in the form of voice calls from the speakers in front of the queue. At the beginning of 2021 there was an outbreak of the COVID-19 virus which required people to avoid crowds. So the government set a rule to maintain a minimum distance of 1m. This results in a queue that is getting longer, so there are often queues who can't hear clearly the sound from the speakers, especially the queues who get the very back position. This is because according to Panshaiskpradi's research in 2019, the amount of sound pressure will decrease by 6dB every time you move 1 meter away from the center of the sound. Therefore, the sound received by people sitting in the back position cannot be heard clearly because of the pressure. his voice diminished. Thus, researchers will design an amplifier automatically with an automatic control circuit by image processing that can adjust the amount of sound according to the number of queues. With the hope, people who queue at the front position close to the speakers will not hurt their ears because the sound is too loud, and people who queue at the back can still hear the sound of the speakers clearly. This is in accordance with WHO regulations which have determined the sound threshold that can be received by humans in a healthy manner is 50dB to 85dB.

Item Type:	Thesis (Undergraduate (S1))
Student ID:	201710130311080
Thesis Advisors:	Lailis Syafaah (0721106301), Inda Rusdia Sofiani (0513057501)
Keywords:	Queue, Amplifier, Image processing, IoT, Monitoring
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TS Manufactures
Divisions:	Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User:	201710130311080 sabrihasanazar
Date Deposited:	15 Mar 2022 07:15
Last Modified:	15 Mar 2022 07:15
URI :	http://eprints.umm.ac.id/id/eprint/85868

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