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Early Warning System on Motorcycle Rider Helmets Using Gyrescope Sensors

Authors

  • Khusnul Azima Sekolah Tinggi Ilmu Tarbiyah Hamzah Fansuri, Indonesia
  • Arifah Adani Politeknik Aceh Selatan, Indonesia
  • Herry Setiawan Politeknik Aceh Selatan, Indonesia

DOI:

10.47709/brilliance.v3i1.2189

Keywords:

Drowsiness, Helmet, driving, Sleep, Gyrescope Sensor

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Abstract

At this time transportation is one of the important things in human life activities. One of the most widely used transportation is two-wheeled vehicles, especially motorcycles. According to the Ministry of Transportation (Kemenhub) reports that in 2021 the number of accidents caused by drivers who are drowsy is 2,140 incidents. This condition encouraged the author to design an anti-drowsiness helmet to reduce the number of accidents and avoid the possibility of accidents due to drowsy driving. The result of this study was that this tool can provide notification in the form of an early warning to motorbike drivers who are indicated to be drowsy by using a vibrating motor. If the head moves on the front, which is the Y axis 300°-360° and on the X axis the right side 20°-60° and on the left side 300°-335°, then the helmet will vibrate. If the Y and X axes of the helmet are in the normal position, the vibration will automatically turn off, and the helmet will return to normal.

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References

Putranto, A, “Korlantas Polri Catat 94.617 Kecelakaan pada Januari-September 2022”. https://nasional.kompas.com/read/2022/11/20/15200561/korlantas-polri-catat-94617-kecelakaan-pada-januari-september-2022 (diakses maret 12, 2023).

V. Azkyia, “Angka Kecelakaan Lalu Lintas di Indonesia Meningkat di 2021, Tertinggi dari Kecelakaan Motor,” 2022. https://databoks.katadata.co.id/datapublish/2022/03/24/angka-kecelakaan-lalu-lintas-di-indonesia-meningkat-di-2021-tertinggi-dari-kecelakaan-motor (diakses Sep 12, 2022).

D. C. J. M. Pardede, A. M. Rumagit, S. Tangkawarouw, dan G. Kaunang, “Deteksi Pengendara Mengantuk Menggunakan Metode Eye Tracking Berbasis Raspberry Pi,” 2021.

E. Setyawan, “perancangan bangun helm pengemudi sepeda motor mengunakan sensor gyscope,” Galang Tanjung, no. 2504, hal. 1–9, 2015.

Motor, fortuna, “Apa Saja Penyebab Kecelakaan yang Sering Terjadi Pada Pengendara Motor?”. https://www.fortuna-motor.co.id/penyebab-kecelakaan-sepeda-motor/ (diakses maret 12, 2023).

Kompas, “5 Faktor Penyebab Kecelakaan Motor yang Disebabkan Pengemudinya Sendiri”. https://kumparan.com/berita-otomotif/5-faktor-penyebab-kecelakaan-motor-yang-disebabkan-pengemudinya-sendiri-1t0KhOe1Sog (diakses maret 12, 2023).

Marsaid, “Faktor Yang Berhubungan Dengan Kejadian Kecelakaan Lalu Lintas Pada Pengendara Sepeda Motor Di Wilayah Polres Kabupaten Malang”. 2013, Jurnal Ilmu Keperawatan, Vol 1 No.2

A. Bagus, “Perancangan Sistem Peringatan Kantuk Pada Helm Pengendara Sepeda Motor Menggunakan Sensor Gyroscope,” 2019. .

Y Mustofa, “Kontrol Penggunaan Helm Sebagai Sarana KeamananBerkendara,” vol. 1, hal. 105–112, 2017.

D. Pittara, “kantuk,” 2022. https://www.alodokter.com/kantuk (diakses Sep 15, 2022).

Mursidah, Nur, Ilham and Setiawan, H “Arduino Based Light Intensity Auto Curtain”. 2022, Brilliance International Journal of Artificial Intelligence, Vol 2 No.1.

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ARTICLE Published HISTORY

Submitted Date: 2023-03-11
Accepted Date: 2023-03-11
Published Date: 2023-03-13

How to Cite

Azima, K. ., Adani, A. ., & Setiawan, H. (2023). Early Warning System on Motorcycle Rider Helmets Using Gyrescope Sensors. Brilliance: Research of Artificial Intelligence, 3(1), 43-47. https://doi.org/10.47709/brilliance.v3i1.2189

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