Kiara Audrey Kinanti, - (2024) RANCANG BANGUN SISTEM PENDETEKSI SUARA EMERGENCY BUTTON LIFT BERBASIS LORA DAN INTERNET OF THINGS PADA GEDUNG D KAMPUS UPI DI PURWAKARTA. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pendeteksi suara emergency button lift berbasis LoRa dan Internet of Things (IoT) di Gedung D Universitas Pendidikan Indonesia Kampus di Purwakarta. Sistem ini dirancang untuk mendeteksi suara alarm darurat dengan pengaturan nilai ambang batas di dalam lift menggunakan sensor KY-037 dan memberikan notifikasi secara real-time kepada petugas keamanan. Sistem menggunakan modul komunikasi LoRa Ra-02 433 MHz untuk mengirimkan data dengan kecepatan dan keandalan yang memadai, bahkan dalam kondisi sinyal yang buruk dan adanya interferensi lingkungan. Metode yang digunakan pada penelitian ini menggunakan penelitian research and development dengan model ADDIE. Alur pengujian dilakukan dengan menguji parameter LoRa dalam transmisi data dengan QoS seperti RSSI, SNR, Delay dan Packet Loss pada lingkungan operasional. Hasil pengujian menunjukkan bahwa sistem ini efektif dalam mendeteksi dan menanggapi suara alarm darurat, meskipun terdapat sedikit delay yang tidak signifikan dalam pemrosesan output. Implementasi sistem di Gedung D UPI Purwakarta berhasil menunjukkan bahwa sistem ini dapat berfungsi dengan baik di lingkungan kampus, memungkinkan petugas keamanan untuk merespons cepat terhadap keadaan darurat. This study aims to design and develop an emergency button elevator sound detection system based on LoRa and the Internet of Things (IoT) in Building D, Universitas Pendidikan Indonesia Campus in Purwakarta. This system is designed to detect emergency alarm sounds in the elevator using the KY-037 sensor with threshold value settings and provide real-time notifications to security officers. The system uses the LoRa Ra-02 433 MHz communication module to transmit data with adequate speed and reliability, even in poor signal conditions and environmental interference. The method used in this study uses research and development research with the ADDIE model. The test flow is carried out by testing LoRa parameters in data transmission with QoS such as RSSI, SNR, Delay and Packet Loss in an operational environment. The test results show that the system is effective in detecting and responding to emergency alarm sounds, although there is a slight delay that is not significant in output processing. The implementation of the system in Building D UPI Purwakarta has successfully shown that this system can function well in a campus environment, allowing security officers to respond quickly to emergencies.
| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?authuser=1&user=ztJ2ZjgAAAAJ ID SINTA Dosen Pembimbing : Galura Muhammad Suranegara : 6703764 Ichwan Nul Ichsan : 6721201 |
| Uncontrolled Keywords: | LoRa, Internet of Things, Deteksi Suara, Sensor KY-037, Telegram, Lift LoRa, Internet of Things, Voice Detection, KY-037 Sensor, Telegram, Lift |
| Subjects: | L Education > L Education (General) T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | UPI Kampus Purwakarta > S1 Sistem Telekomunikasi |
| Depositing User: | Kiara Audrey Kinanti |
| Date Deposited: | 27 Aug 2024 07:17 |
| Last Modified: | 27 Aug 2024 07:17 |
| URI: | http://repository.upi.edu/id/eprint/120916 |
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