Indonesia Optimasi Lingkungan Tenang dengan Sistem Monitoring Kebisingan Menggunakan Logika Fuzzy

Dedi WijayaNon-Scopus16 Juli 2025Afiliasi: ID

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A quiet and comfortable environment is essential, especially in libraries, to support learning and research activities and ensure conducive conditions for visitors.Therefore, this research aims to develop a fuzzy logic-based noise detection system to monitor and manage noise levels in libraries.The system uses a noise sensor connected to an Arduino Nano microcontroller to measure sound intensity in decibels (dB).If the sound produced by visitors exceeds a certain threshold, the system will issue an audible warning through a speaker.The collected data is then processed using fuzzy logic, which involves fuzzification, fuzzy inference, and defuzzification processes to determine noise levels and provide recommendations for actions categorized as quiet, noisy, or very noisy.Test results show that the noise detection system successfully classifies noise based on predefined fuzzy intervals.Specifically, if the noise level is below 40 dB, the system categorizes the environment as quiet.Noise levels between 40 dB and 70 dB fall into the noisy category, while levels between 70 dB and 200 dB are classified as very noisy.Optimizing a quiet environment using fuzzy logic offers a more innovative and more flexible solution for controlling noise levels, encouraging visitor discipline, and enhancing effectiveness in maintaining library quietness.

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