Sistem Deteksi Suara Klakson Untuk Keamanan Pengendara Motor Penyandang Tunarungu

Maheswara, Aqeela Syadza Rashendryano (2025) Sistem Deteksi Suara Klakson Untuk Keamanan Pengendara Motor Penyandang Tunarungu. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengendara motor penyandang tunarungu menghadapi tantangan keselamatan karena kesulitan mendeteksi suara klakson. Penelitian ini bertujuan mengembangkan sistem alat bantu dengan berbasis sensor suara MAX4466 dan mikrokontroler Arduino Nano untuk mendeteksi klakson dan memberikan peringatan getar. Sinyal suara yang masuk diproses melalui tahapan Non-Inverting Summing Amplifier, Bandpass Filter, dan Lowpass Filter untuk meloloskan frekuensi spesifik klakson pada rentang 400 Hz hingga 800 Hz. Berdasarkan hasil pengujian dan analisis data, kinerja sistem sangat dipengaruhi oleh penempatan sensor. Pengujian pada variabel penempatan sensor di bodi motor menunjukkan tingkat keberhasilan deteksi hanya sebesar 33% akibat gangguan dominan dari getaran mesin. Sebaliknya, penempatan sensor pada lengan pengendara terbukti lebih efektif dengan peningkatan tingkat keberhasilan menjadi 53%, karena lengan berfungsi sebagai peredam getaran alami yang mengurangi noise. Selain itu, evaluasi terhadap pengguna menunjukkan penerimaan yang baik dengan rata-rata skor kenyamanan sebesar 7,5 dan kemudahan penggunaan sebesar 7,1. Penelitian ini menyimpulkan bahwa sistem deteksi klakson bekerja lebih optimal sebagai perangkat wearable pada lengan dan mampu memberikan notifikasi getar dengan menggunakan modul nRF24L01 untuk meningkatkan kewaspadaan pengendara
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Deaf motorcyclists face safety challenges due to the difficulty in detecting horn sounds. This study aims to develop an assistive system based on MAX4466 sound sensors and an Arduino Nano microcontroller to detect horns and provide vibration alerts. Incoming sound signals are processed through Non-Inverting Summing Amplifier, Bandpass Filter, and Lowpass Filter stages to pass specific horn frequencies in the range of 400 Hz to 800 Hz. Based on the testing results and data analysis, the system's performance is significantly influenced by sensor placement. Testing on the motorcycle body placement variable showed a detection success rate of only 33% due to dominant interference from engine vibration. In contrast, placing the sensor on the rider's arm proved more effective, increasing the success rate to 53%, as the arm acts as a natural vibration damper minimizing mechanical noise. Furthermore, user evaluation indicated good acceptance with an average comfort score of 7.5 and an ease-of-use score of 7.1. This study concludes that the horn detection system works more optimally as a wearable device on the arm and is capable of providing wireless vibration notifications via the nRF24L01 module to improve rider awareness.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Deteksi Klakson, Sistem Asistif, Sistem Keselamatan, Tunarungu, Modul nRF24L01, Assistive System, Deafness, Horn Detection, nRF24L01 Module, Safety system
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103.2 Wireless communication systems. Two way wireless communication T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Biomedical Engineering > 11410-(S1) Undergraduate Thesis
Depositing User:	Aqeela Syadza Rashendryano
Date Deposited:	02 Feb 2026 07:55
Last Modified:	02 Feb 2026 07:55
URI:	http://repository.its.ac.id/id/eprint/131663

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