Perencanaan dan Pembuatan Sistem Deteksi Tingkat Kelelahan Pada Pengemudi Kendaraan Bermotor

Authors

  • Muhammad Taufiq Tamam Teknik Elektro, Fakultas Teknik dan Sains, Universitas Muhammadiyah Purwokerto
  • Itmi Hidayat Kurniawan Teknik Elektro, Fakultas Teknik dan Sains, Universitas Muhammadiyah Purwokerto
  • Anis Kusumawa Fakultas Kedokteran Universitas Muhammadiyah Purwokerto

DOI:

https://doi.org/10.30595/techno.v23i2.14198

Abstract

Traffic accidents on the highway are common. One of the causes is the fatigue factor of the driver so that his driving concentration will decrease. The condition of fatigue in the driver occurs due to decreased levels of oxygen in the blood (SpO2). This application to monitor the driver's fatigue level is done by installing a heart rate sensor and blood oxygen saturation (SpO2) on the driver's wrist. The measurement results are displayed on an OLED screen that contains the condition of the heart rate, oxygen saturation (SpO2) and the level of fatigue. If the fatigue level is at a high level then there will be a warning. Based on the results of trials that have been carried out, the average heart rate measurement error is 1.08% and the oxygen saturation in the blood (SpO2) is 0.81%.

Author Biography

Muhammad Taufiq Tamam, Teknik Elektro, Fakultas Teknik dan Sains, Universitas Muhammadiyah Purwokerto

References

Badan Pusat Statistik, (2020), Statistik Transportasi Darat 2019.

https://kominfo.go.id/index.php/content/detail/10368/rata-rata-tiga-orang-meninggal-setiap-jam-akibat-kecelakaan-jalan/0/artikel_gpr. Diakses tanggal 4 Nopember 2021.

Tavakoli, M., L. Turicchia, and R. Sarpeshkar. (2010). An Ultra-Low-Power Pulse Oximeter Implemented With an Energy-Efficient Transimpedance Amplifier. Biomedical Circuits and Systems, IEEE Transactions On 4.1 : 27-38.

Bimbaum, S. (2009). Pulse oximetry: identifying its applications, coding, and reimbursement. American College of Chest Physicians; 135:838-841.

Mendelson, Y. (2002), Non-invasive pulse oximetry utilizing skin reflectance photoplethysmography, Biomedical Engineering, IEEE Engineering in Medicine and Biology Society, Vol: 35, No: 10, pp:798-805.

Yonanto, V., Wisana, I.D.G.H., Rahmawati, T., (2019), Pemantauan SpO2 Melalui Aplikasi Android di Mobile Phone, TEKNOKES, Vol. 12, No. 2, ISSN:2407-8964.

Beattie, Z.T. (2008), Algorithm for automatic beat detection of cardiovascular pressure signals, Engineering in Medicine and Biology Society, 30th Annual International Conference of the IEEE, pp:2594 – 2597.

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Published

2022-10-31