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ANALISIS INDIKATOR EYE TRACKING UNTUK MENDETEKSI KEWASPADAAN YANG DIPENGARUHI PEMBATASAN DURASI TIDUR DAN WAKTU PEMERIKSAAN Thedy Yogasara; Rosi Filia Kristina Sidabutar; Daniel Siswanto; Yansen Theopilus
J@ti Undip: Jurnal Teknik Industri Vol 18, No 3 (2023): September 2023
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.18.3.160-170

Abstract

Eye tracking (ET) banyak digunakan untuk mendeteksi perubahan okular, namun belum banyak penelitian yang menganalisis kemampuan indikator ET dalam mendeteksi kewaspadaan. Padahal indikator okular banyak dikaitkan dengan kelelahan yang dapat menurunkan kewaspadaan. Penelitian ini bertujuan menentukan indikator ET yang dapat mendeteksi kewaspadaan pada pembatasan durasi tidur dan waktu pemeriksaan. Penelitian melibatkan 28 pria yang diminta melakukan inspeksi cacat (scratch, dirt, missing part, dan poor assembly) pada 50 senter sambil dilakukan pengukuran Psychomotor Vigilance Task (PVT) dan indikator ET. Durasi tidur dibatasi 4 dan 8 jam, serta waktu pemeriksaan terdiri dari waktu yang dibatasi dan tidak dibatasi. Variabel terikat adalah mean RT (reaction time), % minor lapses, dan mean 1/RT dari PVT. Dari ET diukur durasi fiksasi, diameter pupil, jumlah sakadik, dan kecepatan sakadik. Hasil eksperimen diolah dengan Two-way Repeated Measures ANOVA dan Pearson Correlation. Hasil ANOVA dengan signifikansi α=0,05 menunjukkan terdapat pengaruh durasi tidur terhadap mean RT, % minor lapses, dan mean 1/RT. Sedangkan waktu pemeriksaan berpengaruh terhadap durasi fiksasi dan jumlah sakadik. Berdasarkan uji Pearson Correlation, indikator ET dan PVT berkorelasi lemah atau sangat lemah. Hasil penelitian menunjukkan tidak terdapatnya indikator ET yang cukup baik untuk mendeteksi kewaspadaan pada pembatasan durasi tidur dan waktu pemeriksaan.  Abstract [Analysis of Eye Tracking Indicators to Detect Vigilance Affected by Sleep Duration and Inspection Time Constraints] Eye tracking (ET) is widely used to detect ocular changes. However, few studies analyze the capability of ET indicators for detecting vigilance, albeit ocular indicators are often associated with fatigue which can reduce vigilance. This study aims to determine ET indicators that can detect vigilance on limited sleep and inspection duration. This study involved 28 men who were asked to perform inspection tasks for defects (scratch, dirt, missing parts, and poor assembly) on 50 flashlights while Psychomotor Vigilance Task (PVT) and ET indicators were measured. Sleep duration was limited to 4 and 8 hours, while inspection duration consisted of two levels, i.e. limited and not limited. Dependent variables were mean RT (reaction time), % minor lapses, and mean 1/RT of PVT. Furthermore, ET indicators included duration fixation, pupil diameter, number of saccades, and saccades velocity. The data were processed using Two-way Repeated Measures ANOVA and Pearson Correlation. ANOVA with significance of α=0,05 shows that there was an effect of sleep duration on mean RT, % minor lapses, and mean 1/RT. In addition, inspection duration had an effect on fixation duration and number of saccades. Based on Pearson Correlation test, all ET and PVT indicators had weak or very weak correlation. This research indicates that there is no ET indicator that is adequate to detect vigilance in limited sleep and inspection duration.Keywords: eye tracking; inspection duration; sleep duration; vigilance
Room Steering Temperature Determination with Variable Concerned of Driver Conditions Who are Sleep Deprived and Road Condition Ryan Ferdinand; Daniel Siswanto; Sani Susanto
Jurnal Improsci Vol 1 No 5 (2024): Vol 1 No.5 17 April 2024
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/improsci.v1i5.234

Abstract

Among the main reasons for the high death rate worldwide are traffic accidents. The most common cause of road accidents is driver fatigue. Not getting enough sleep is one thing that makes people tired. A study on how sleep-deprived sleep-deprived drivers felt about themselves was conducted, and the results showed that they were tired. A potential preventive measure against the driver's extreme weariness is the room steering temperature. The goal of this research is to find the room temperature range that produces the most minor drowsiness is this research's goal. The research used six treatments in a 40-minute driving simulator: hot, cold, pleasant room temperature steering, and monotonous and non-monotonous road conditions. With the Electroencephalogram, one may measure one's state of sleepiness by monitoring brain wave activity. Six treatments were administered to each of the study's four young adult male participants. Teta, alpha, and beta wave powers are derived by processing data from brain wave activity using Matlab R2009A. An ANOVA test is used to discover which factors affect the degree of drowsiness by using the ratio of sleepiness level, which is determined using the equation (θ + α) /β. ANOVA test results indicated that while road conditions and room steering temperature impacted sleepiness, their interaction had no effect. Just the hot-cold level is found to be significantly different by the Tukey and Newman Keuls tests. For sleep-deprived drivers, the temperature differences between hot and cold conditions result in varying drowsiness. The research's practical conclusion is that, for sleep-deprived drivers, a hot temperature range (>26°C–29°C) can result in the lowest level of tiredness.