SISTEM MONITORING TINGKAT KEBISINGAN LINGKUNGAN MENGGUNAKAN SENSOR RT-ZS-BZ485 BERBASIS INTERNET OF THINGS (IOT)

YANA FEBRIANTI, . (2024) SISTEM MONITORING TINGKAT KEBISINGAN LINGKUNGAN MENGGUNAKAN SENSOR RT-ZS-BZ485 BERBASIS INTERNET OF THINGS (IOT). Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Monitoring kebisingan lingkungan perlu dilakukan untuk mengurangi dampak negatif terhadap kesehatan dan kenyamanan. Dalam penelitian ini, dirancang sistem pemantauan kebisingan lingkungan menggunakan sensor kebisingan. Metode yang digunakan adalah metode eksperimen. Sistem ini dilengkapi dengan sensor RT-ZS-BZ485 untuk mengukur tingkat kebisingan. Raspberry Pi 3B digunakan sebagai mikrokontroler, dan LCD untuk menampilkan data kebisingan secara langsung. Dalam penelitian ini, sensor telah dikalibrasi, sehingga diperoleh akurasi sensor sebesar 99,303% dan dapat beroperasi dengan baik pada rentang nilai kebisingan 30 dB hingga 100 dB. Pemantauan kebisingan lingkungan dilakukan melalui sistem berbasis website. Website tersebut memiliki 3 menu utama, yaitu Home, Monitoring, dan About. Data yang ditampilkan dalam website berupa tingkat kebisingan dalam format grafik, numberik dan gauge. Sistem pemantauan ini telah berhasil mendeteksi kebisingan di berbagai lokasi seperti jalan raya, area perumahan, perpustakaan dan stasiun kereta. Selain itu, sistem telah berhasil melakukan pemantauan kebisingan selama 24 jam. Dengan demikian, dapat disimpulkan bahwa sistem mampu beroperasi secara efisien dalam melakukan pemantauan tingkat kebisingan lingkungan berbasis IoT. ***** Environmental noise monitoring is necessary to reduce negative impacts on health and comfort. In this research, an environmental noise monitoring system was designed using a noise sensor. The method used is the experimental method. This system is equipped with an RT-ZS-BZ485 sensor to measure noise levels. A Raspberry Pi 3B is used as the microcontroller, and an LCD to display noise data in real-time. In this study, the sensor was calibrated, achieving a sensor accuracy of 99,303% and it can operate well within a noise level range of 30 dB to 100 dB. Environmental noise monitoring is carried out through a web-based system. The website has three main menus: Home, Monitoring, and About. The data displayed on the website includes noise levels in graphic, numeric, and gauge formats. This monitoring system has successfully detected noise in various locations such as highways, residential areas, libraries and train stations. Additionally, the system has successfully monitored noise for 24 hours. Therefore, it can be concluded that the system is capable of operating efficiently in monitoring environmental noise levels based on IoT.

Item Type:	Thesis (Sarjana)
Additional Information:	1) Dr. Widyanigrum Indrasari, M.Si. 2) Ir. Heri Firmansyah, M.T.
Subjects:	Sains > Fisika
Divisions:	FMIPA > S1 Fisika
Depositing User:	Yana febrianti .
Date Deposited:	23 Aug 2024 01:02
Last Modified:	23 Aug 2024 01:02
URI:	http://repository.unj.ac.id/id/eprint/49279

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