dc.contributor.advisor | Susilawati | |
dc.contributor.author | Tambunan, M Anastasya | |
dc.date.accessioned | 2025-07-18T08:29:02Z | |
dc.date.available | 2025-07-18T08:29:02Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/105774 | |
dc.description.abstract | Noise 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.iso | id | en_US |
dc.publisher | Universitas Sumetera Utara | en_US |
dc.subject | Monitoring system | en_US |
dc.subject | Loudness sensor | en_US |
dc.subject | ESP32 | en_US |
dc.subject | Noise | en_US |
dc.subject | generator | en_US |
dc.subject | Internet of Things | en_US |
dc.title | Sistem Monitoring Tingkat Kebisingan pada Ruangan Generator Berbasis Internet of Things (IoT) melalui Pesan Telegram | en_US |
dc.title.alternative | Noise Level Monitoring System in a Generator Room Based on Internet of Things (IoT) through Telegram Messages | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM222408015 | |
dc.identifier.nidn | NIDN0007127402 | |
dc.identifier.kodeprodi | KODEPRODI30401#Fisika | |
dc.description.pages | 66 Pages | en_US |
dc.description.type | Kertas Karya Diploma | en_US |
dc.subject.sdgs | SDGs 9. Industry Innovation And Infrastructure | en_US |