Electronic Theses and Dissertation

Respon fisiologis pengendara sepeda motor yang berhubungan signifikan terhadap stres berkendara dapat digunakan sebagai indikator pengukuran keselamatan lalu lintas. stres pengemudi dapat diukur dengan menggunakan detak jantung dengan menggunakan metode heart rate variability (hrv). dalam penelitian ini, kajian dilakukan di sepanjang jalan perkotaan di provinsi aceh. penelitian ini bertujuan untuk memberikan hasil empiris yang dapat menentukan ambang aman stres pengendara sepeda motor pada kelas jalan arteri, kolektor dan lokal yang dipengaruhi oleh perbedaan kondisi geometrik jalan, tata guna lahan dan kontrol lalu lintas di kota banda aceh. selain itu penelitian ini juga mengkaji pengaruh faktor sosiodemografi dan sosial ekonomi serta perilaku pengemudi yang tidak aman yang berpengaruh terhadap stres mengemudi. polar vantage v2 smartwatch multisport digunakan untuk mengukur detak jantung volunteer pengguna sepeda motor. penelitian ini dilakukan dengan observasi langsung dan melalui pengamatan langsung terkait aktivitas perjalanan dengan mengambil 150 volunteer sebagai sampel dimana target volunteer dipilih berdasarkan kesediaan berpartisipasi dalam penelitian ini. data primer diperoleh dengan survei wawancara secara langsung kepada volunteer untuk mendapat data sosiodemografi dan sosial ekonomi serta data perilaku mengemudi yang tidak aman. dari proses pengumpulan data tersebut, diperoleh lebih dari 2.050 data detak jantung (hrv) per segmen jaringan jalan, yang kemudian digunakan sebagai dataset utama dalam proses analisis dan kalibrasi model. model multiple indicators multiple causes (mimic) digunakan untuk menyelidiki secara empiris variabel-variabel mana yang mempengaruhi stres mengemudi di antara pengemudi di kota banda aceh. the standard deviation of normal to normal rr intervals (sdnn), the root mean square of successive differences rr intervals (rmssd), nilai persentase interval rr berurutan yang berbeda lebih dari 50 ms (pnn50), triangular interpolation (tinn), keseimbangan antara aktivitas sistem saraf simpatis dan aktivitas sistem saraf parasimpatis (low frequency (lf)/ high frequency (hf) fast fourier transform (fft)) dan keseimbangan antara aktivitas sistem saraf simpatik dan aktivitas sistem saraf parasimpatis (autoregressive) (lf/ hf (ar)) digunakan sebagai indikator stres mengemudi. hasil penelitian menunjukkan bahwa tingkat stres tertinggi dialami pada jalan lokal, disusul jalan arteri, dan paling rendah pada jalan kolektor. perbedaan ini dipengaruhi oleh kompleksitas lalu lintas, geometri jalan, tata guna lahan, dan kontrol lalu lintas. selain itu, faktor sosiodemografi, sosial ekonomi, serta perilaku mengemudi tidak aman seperti pelanggaran dan agresivitas juga berkontribusi signifikan terhadap peningkatan stres. temuan ini menegaskan pentingnya desain jalan yang ramah pengemudi, manajemen lalu lintas yang efisien, serta edukasi keselamatan untuk mendukung perilaku berkendara yang aman dan menurunkan risiko kecelakaan. kata kunci: stres mengemudi, geometrik jalan, tata guna lahan, kontrol lalu lintas, sosiodemografi, sosial ekonomi, perilaku mengemudi tidak aman, indikator stres.

The physiological response of motorcyclists significantly related to driving stress has been used as an indicator for traffic safety measurement. Driver stress was measured using heart rate through the heart rate variability (HRV) method. In this study, the investigation was conducted along urban roads in the province of Aceh. This study aimed to provide empirical results that could determine the safe stress threshold for motorcyclists on arterial, collector, and local road classes influenced by differences in road geometric conditions, land use, and traffic control in Banda Aceh. Furthermore, this study also examined the influence of sociodemographic and socioeconomic factors, as well as unsafe driving behaviors that contributed to driving stress. The Polar Vantage V2 Smartwatch Multisport was used to measure the heart rate of motorcyclist volunteer users. This study was conducted through direct observation and monitoring of travel activities, taking 150 volunteers as samples. The target volunteers were selected based on their willingness to participate in the study. Primary data was obtained through direct interviews with volunteers to collect sociodemographic and socioeconomic data, as well as data on unsafe driving behavior. From this data collection process, more than 2,050 heart rate variability (HRV) data points were obtained for each road network segment, which was then used as the main dataset for analysis and model calibration. The Multiple Indicators Multiple Causes (MIMIC) model was used to empirically investigate which variables influenced driving stress among drivers in Banda Aceh City. The standard deviation of normal to normal RR intervals (SDNN), the root mean square of successive differences in RR intervals (RMSSD), the percentage of successive RR intervals differing by more than 50 ms (pNN50), Triangular interpolation (TINN), the balance between sympathetic nervous system activity and parasympathetic nervous system activity (Low Frequency (LF)/ High Frequency (HF) fast Fourier transform (FFT)), and the balance between sympathetic nervous system activity and parasympathetic nervous system activity (Autoregressive) (LF/HF (AR)) were used as indicators of driving stress. The study results indicate that the highest stress levels were experienced on local roads, followed by arterial roads, with the lowest on collector roads. These differences are influenced by traffic complexity, road geometry, land use, and traffic control. In addition, sociodemographic and socioeconomic factors, as well as unsafe driving behaviors such as violations and aggressive driving, also contribute significantly to increased stress levels. These findings highlight the importance of driver-friendly road design, efficient traffic management, and safety education to promote safe driving behavior and reduce the risk of accidents. Keywords: Driving Stress, Road Geometry, Land Use, Traffic Control, Sociodemographics, Socioeconomics, Unsafe Driving Behavior, Stress Indicator