EVALUATION OF REGIONAL DIVISION IV MACHINIST’S DROWSINESS LEVEL BASED ON EYE BLINK AND VIDEO RATING

• Main Author: Yudha, Jonatan
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik, perlengkapan & materi
• Online Access: https://digilib.itb.ac.id/gdl/view/78897
• Institution: Institut Teknologi Bandung

Long working hours and monotonous work conditions are some factors that may cause drowsiness problem for machinists (train drivers) at Regional Division IV, Tanjungkarang, Lampung. PT Kereta Api Indonesia (KAI) has established a machinist working time policy for maximum of 8 hours per day. However, this policy has not been based on future research yet. Therefore, this research aims to evaluate drowsiness level of machinists at Regional Division IV as a basis to set various policies. In this research, drowsiness was evaluated based on 4 variables, namely, blink duration, blink frequency, video rating, and Karolinska Sleepiness Scale (KSS). Participants of this research consisted of 20 machinists at Regional Division IV who were divided into 2 shifts, namely shift 1 (06:00 a.m. – 06:00 p.m.) and shift 2 (06:00 p.m. – 06:00 a.m.). Video camera was installed inside the locomotive to record machinists while they were driving. Then, the video was processed to obtain blink duration, blink frequency, and video rating. Measurement with KSS also conducted at the beginning, middle, and end of work. The results of the research showed that there was a time of day and a time on task factor that affected machinists’ drowsiness level. Machinists’ drowsiness level tends to increase at shift 2 and begin to appear 3 – 5 hours after starting work. Microsleep also often occurred at the same time on task in shift 2. Based on the trend of average blink duration, time on task for 5 hours in shift 2 has reached the sleepiness threshold value. In this research, blink duration has a significant correlation with video rating and KSS. However, no significant correlation was found between blink frequency and other variables. Some solutions that PT KAI can implement are increase machinists’ sleep duration and quality by improving Griya Karya SOP, develop and implement a real-time fatigue monitoring system, and revise train queueing policy.