ANALISIS KEBISINGAN MENGGUNAKAN K-NEAREST NEIGHBOR (KNN) DAN ALAT BERBASIS INTERNET OF THINGS (IOT)

MUZAKKIY, NAUFAL AZEL and Ubaya, Huda (2023) ANALISIS KEBISINGAN MENGGUNAKAN K-NEAREST NEIGHBOR (KNN) DAN ALAT BERBASIS INTERNET OF THINGS (IOT). Undergraduate thesis, Sriwijaya University.

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Abstract

The use of the Internet of Things (IoT) has been growing, starting from industry, education, to everyday life. Using the concept of the Internet of Things (IoT) can make it easier to solve various kinds of problems that develop in human life. One of the problems is noise, noise can interfere with human activities. Departing from this problem, the Internet of Thing (IoT) concept is used in places that are prone to noise in order to provide information whether the noise level is in accordance with the standard noise standard stipulated in the Decree of the Minister of Environment (KepMenLH) No. 48 of 1996. To detect noise, the ESP32 is used as a microcontroller and noise meter. In addition, the K-Nearest Neighbor (KNN) method is also used to detect noise based on data obtained from the hardware used

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Internet of Things (IoT), K-Nearest Neighbor (KNN), Noise Sensor
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA158.7 Computer network resources Including the Internet
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Naufal Azel Muzakkiy
Date Deposited:	08 Sep 2023 06:27
Last Modified:	08 Sep 2023 06:27
URI:	http://repository.unsri.ac.id/id/eprint/128375

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