Skripsi

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

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Penilaian

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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

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307005408	T128375	T1283752023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1283752023

Publisher

Indralaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiii, 57 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.740 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

pangkalan data
Jurusan Sistem Komputer
Data File-file dan Database
Pusat Data

Specific Detail Info

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Statement of Responsibility

SRI

Other version/related

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