Prototipe Deteksi Arah Sumber Kebisingan Berdasarkan Nilai Ambang Batas dan Time Difference of Arrival Berbasis Internet of Things

Prayoga, Dion (2026) Prototipe Deteksi Arah Sumber Kebisingan Berdasarkan Nilai Ambang Batas dan Time Difference of Arrival Berbasis Internet of Things. Bachelor thesis, Institut Teknologi Kalimantan.

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Abstract

Kebisingan merupakan masalah serius yang berdampak negatif terhadap kesehatan dan kenyamanan masyarakat. Sistem pemantauan kebisingan konvensional yang ada saat ini umumnya hanya mampu mengukur intensitas suara dalam satuan desibel (dB) tanpa memberikan informasi mengenai arah datangnya sumber suara, sehingga upaya identifikasi dan pengendalian sumber kebisingan menjadi kurang efektif. Penelitian ini bertujuan untuk merancang dan mengimplementasikan prototipe sistem deteksi tingkat kebisingan dan penentuan arah sumber suara secara real-time berbasis Internet of Things (IoT). Sistem dikembangkan menggunakan mikrokontroler ESP32 dan empat buah sensor suara GY-MAX4466 yang disusun dengan konfigurasi cross-array. Metode deteksi kebisingan mengacu pada nilai ambang batas baku tingkat kebisingan 55 dB sesuai yang telah diatur oleh keputusan menteri negara lingkungan hidup tahun 1996, sedangkan penentuan arah atau sudut azimuth sumber suara menggunakan metode Time Difference of Arrival (TDOA). Hasil pengujian menunjukkan sistem mampu mengukur tingkat kebisingan dengan akurasi rata-rata 97,82% dan nilai Mean Absolute Error (MAE) sebesar 1,16 dB dibandingkan Sound Level Meter (SLM). Untuk penentuan arah, konfigurasi jarak antar sensor 55 cm memberikan hasil lebih unggul dengan MAE 16,58° dibanding jarak 30 cm dengan MAE 23,03°. Integrasi IoT berhasil menampilkan data secara real-time. Meskipun performa sistem masih dipengaruhi oleh noise, pantulan suara, dan keterbatasan pembacaan ADC ESP32 yang tidak simultan, serta karakteristik suara kontinu yang lebih sulit diproses dibandingkan suara impulsif, secara keseluruhan prototipe ini mampu menjalankan fungsi pemantauan kebisingan lingkungan.

Item Type: Thesis (Bachelor)
Subjects: T Technology > T Technology (General)
Divisions: Jurusan Matematika dan Teknologi Informasi > Informatika
Depositing User: Dion Prayoga
Date Deposited: 13 Jul 2026 07:12
Last Modified: 13 Jul 2026 07:12
URI: http://repository.itk.ac.id/id/eprint/26873

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