Skripsi

PERANCANGAN SISTEM INSTRUMENTASI PENGUKURAN DAN PEMANTAUAN TINGKAT KEBISINGAN BERBASIS INTERNET OF THINGS MENGGUNAKAN MIKROKONTROLER ESP32

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Penilaian

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Noise pollution is sound that is intrusive and has the potential to impact human physical and psychological health negatively. Noise measurement and monitoring are essential to assess exposure levels and take mitigation measures against noise pollution. This research aims to design an Internet of Things (IoT)-based noise measurement and monitoring system. The research method includes literature study, tool design, characteristic testing, and data analysis of test results. The design uses a GY-MAX4466 sound sensor connected to a NodeMCU ESP32 microcontroller to send data to Google Sheets. The test results of the GY-MAX4466 sensor characteristics show an average accuracy of 97.24% and an average precision of 98.18%. Overall, this noise measurement and monitoring instrumentation system has successfully functioned properly and successfully sends measurement data to Google Sheets.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307003022	T126335	T1263352023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1263352023

Publisher

Indralaya : Jurusan Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2023

Collation

xiv, 37 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

530.7

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)

Jurusan Fisika
Instrumentasi Fisika

Specific Detail Info

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Statement of Responsibility

PITRIA

Other version/related

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