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dc.contributor.advisorSusilawati
dc.contributor.authorTambunan, M Anastasya
dc.date.accessioned2025-07-18T08:29:02Z
dc.date.available2025-07-18T08:29:02Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/105774
dc.description.abstractNoise in generator rooms can have a negative impact on operator comfort and health, necessitating an effective monitoring system. This study developed an Internet of Things (IoT)-based noise monitoring system using calibrated sound sensors in dB(A) units. Data from the sensors is processed by an ESP32 microcontroller and sent via the Telegram app if it exceeds the safe threshold (>85 dB(A)), while also being displayed visually on an LCD screen. The system is designed to provide early warnings and accurate information to protect human hearing. Test results show that the system can detect noise levels with high accuracy and rapid response, supporting safer and more efficient workplace management.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumetera Utaraen_US
dc.subjectMonitoring systemen_US
dc.subjectLoudness sensoren_US
dc.subjectESP32en_US
dc.subjectNoiseen_US
dc.subjectgeneratoren_US
dc.subjectInternet of Thingsen_US
dc.titleSistem Monitoring Tingkat Kebisingan pada Ruangan Generator Berbasis Internet of Things (IoT) melalui Pesan Telegramen_US
dc.title.alternativeNoise Level Monitoring System in a Generator Room Based on Internet of Things (IoT) through Telegram Messagesen_US
dc.typeThesisen_US
dc.identifier.nimNIM222408015
dc.identifier.nidnNIDN0007127402
dc.identifier.kodeprodiKODEPRODI30401#Fisika
dc.description.pages66 Pagesen_US
dc.description.typeKertas Karya Diplomaen_US
dc.subject.sdgsSDGs 9. Industry Innovation And Infrastructureen_US


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