Putra Adira, Achmad Bayhaqi (2026) Sistem Peringatan Dini Kondisi Kantuk Pengemudi Motor Menggunakan Sensor IMU dan Support Vector Machine Untuk Deteksi Microsleep. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
Traffic accidents caused by drowsiness and microsleep among motorcyclists represent a significant road safety concern in Indonesia, with 299,479 accidents recorded in the 2023-2024 period, 95% of which were attributed to human error encompassing fatigue, inattention, and microsleep. This study aims to design and implement a real-time drowsiness early warning system integrated into a motorcycle helmet as a wearable device, utilizing an MPU6050 IMU sensor and a Support Vector Machine (SVM) algorithm for microsleep detection. An experimental approach was adopted, encompassing hardware design based on an ESP32 microcontroller embedded in the helmet, head movement data acquisition using a non-overlapping window segmentation method of 10 samples (1 second at 10 Hz sampling frequency), and a four-stage feature selection pipeline comprising statistical significance testing, Cohen's d discriminative power analysis, correlation-based redundancy elimination, and Recursive Feature Elimination with Cross-Validation (RFECV). Five time-domain statistical features were selected as inputs to an SVM model with a Radial Basis Function (RBF) kernel (C=1, gamma=1.0): angleX_max, angleY_min, angleY_mean, gy_min, and gy_max, extracted from a dataset of 4,750 samples. Model evaluation on the test set yielded an accuracy of 92.53% with a microsleep class recall of 92%, while field testing involving 5 subjects across 50 simulated microsleep events produced an overall detection rate of 86% and a mean computational latency of 21.4 ms per window. The developed helmet-based wearable early warning system demonstrates adequate real-time microsleep detection performance for road safety applications, though further generalization across diverse vehicle types and rider physical characteristics necessitates expanded training data collection in future research.
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | microsleep,support vector machine,sensor IMU,wearable,sistem peringatan dini | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika | ||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Achmad Bayhaqi Putra Adira | ||||||
| Date Deposited: | 09 Jul 2026 08:08 | ||||||
| Last Modified: | 09 Jul 2026 08:10 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/57686 |
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Sistem Peringatan Dini Kondisi Kantuk Pengemudi Motor Menggunakan Sensor IMU dan Support Vector Machine Untuk Deteksi Microsleep. (deposited 09 Jul 2026 07:00)
- Sistem Peringatan Dini Kondisi Kantuk Pengemudi Motor Menggunakan Sensor IMU dan Support Vector Machine Untuk Deteksi Microsleep. (deposited 09 Jul 2026 08:08) [Currently Displayed]
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