DETEKSI KEBISINGAN LOBBY APARTEMEN MENGGUNAKAN SENSOR SUARA, IOT, DAN ALGORITMA K-NN

Jakaria, Muchammad Defri (2026) DETEKSI KEBISINGAN LOBBY APARTEMEN MENGGUNAKAN SENSOR SUARA, IOT, DAN ALGORITMA K-NN. Undergraduate thesis, Universitas 17 Agustus 1945 Surabaya.

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Abstract

Kebisingan pada area lobby apartemen merupakan permasalahan umum yang dapat menurunkan kenyamanan penghuni, terutama saat kegiatan publik berlangsung atau ketika suara bising berasal dari area sekitar. Oleh karena itu, dibutuhkan sistem pemantauan yang mampu mendeteksi tingkat kebisingan secara otomatis, akurat, dan real-time sebagai dasar pengelolaan lingkungan hunian. Penelitian ini bertujuan merancang dan mengimplementasikan sistem deteksi kebisingan berbasis Internet of Things (IoT) yang menggunakan sensor suara untuk mengukur intensitas bunyi, mikrokontroler ESP32 sebagai pemroses data, dan algoritma K-Nearest Neighbor (KNN) untuk mengklasifikasikan tingkat kebisingan. Hasil klasifikasi dikirim melalui jaringan IoT ke aplikasi Telegram sebagai notifikasi instan bagi pengelola apartemen. Hasil pengujian menunjukkan sistem mampu mendeteksi serta mengklasifikasikan tingkat kebisingan dengan akurasi tinggi dan mengirimkan notifikasi secara real-time ketika ambang batas terlampaui. Sistem ini dapat menjadi solusi efektif untuk menjaga kenyamanan dan kondisi lingkungan apartemen yang kondusif.

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