Rancang Bangun Sistem Monitoring Knalpot Brong Pada Area Parkir Departemen Teknik Instrumentasi

Anfaa, Ahmad Zidan (2026) Rancang Bangun Sistem Monitoring Knalpot Brong Pada Area Parkir Departemen Teknik Instrumentasi. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penerapan konsep Smart Eco Campus menuntut pemanfaatan teknologi cerdas untuk mendukung lingkungan kampus yang nyaman, aman, dan berkelanjutan, termasuk dalam pengendalian polusi suara. Salah satu permasalahan kebisingan di lingkungan kampus berasal dari penggunaan knalpot brong pada kendaraan bermotor. Penelitian ini mengusulkan dan merealisasikan sebuah sistem monitoring knalpot brong berbasis Internet of Things (IoT) yang dirancang untuk mendukung kebijakan kampus bebas polusi suara. Sistem menggunakan sensor Sensor Gravity Sound Level Meter V2.0 untuk mengukur tingkat kebisingan dalam satuan desibel (dB) dengan ambang batas kebisingan knalpot brong ditetapkan sebesar 85 dB, yang dikendalikan oleh Raspberry Pi 5 sebagai pusat pemrosesan data. Selain itu, kamera Logitech C270 diintegrasikan untuk mendokumentasikan kendaraan yang terdeteksi melampaui ambang batas kebisingan tersebut. Data hasil pengukuran tingkat kebisingan dan citra kendaraan disimpan secara lokal dalam basis data dan file Excel, serta ditampilkan melalui antarmuka monitoring berbasis web secara real-time pada jam operasional kampus. Hasil implementasi di area parkir Departemen Teknik Instrumentasi menunjukkan bahwa sistem mampu memantau tingkat kebisingan dan mengidentifikasi kendaraan dengan knalpot brong dengan akurasi sebesar 99% dan presisi kurang dari 5%. Dengan demikian, sistem ini berpotensi menjadi solusi teknologi pendukung Smart Eco Campus dalam upaya pengendalian kebisingan dan penciptaan lingkungan kampus yang lebih kondusif.
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The implementation of the Smart Eco Campus concept requires the utilization of intelligent technologies to support a comfortable, safe, and sustainable campus environment, including the control of noise pollution. One of the noise-related problems in campus areas originates from the use of modified motorcycle exhausts, commonly known as brong exhausts. This study proposes and implements an Internet of Things (IoT)–based motorcycle exhaust noise monitoring system designed to support campus policies aimed at reducing noise pollution. The system employs a Sensor Gravity Sound Level Meter V2.0 to measure noise levels in decibels (dB), with the noise threshold for brong exhausts set at 85 dB, and utilizes a Raspberry Pi 5 as the main data processing unit. In addition, a Logitech C270 camera is integrated to document vehicles detected exceeding the specified noise threshold. The measured noise data and vehicle images are stored locally in a database and Excel files, and are displayed through a web-based monitoring interface in real time during campus operational hours. The implementation results in the parking area of the Department of Instrumentation Engineering indicate that the system is capable of monitoring noise levels and identifying vehicles equipped with brong exhausts with an accuracy of 99% and a precision of less than 5%. Therefore, this system has the potential to serve as a technological solution supporting the Smart Eco Campus initiative in controlling noise pollution and creating a more conducive campus environment.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Smart Eco Campus, Knalpot Brong, Sensor Gravity Sound Level Meter V2.0 (SKU SENO22), Raspberry pi 5, kamera logitech c270 Smart Eco Campus, Exhaust Brong, Sensor Gravity Sound Level Meter V2.0, Raspberry pi 5, logitech c270 camera
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Ahmad Zidan Anfa'a
Date Deposited:	29 Jul 2026 03:28
Last Modified:	29 Jul 2026 03:28
URI:	http://repository.its.ac.id/id/eprint/139414

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