Article Per Year (5 Year)
p-Index From 2021 - 2026
1.463
P-Index
This Author published in this journals
All Journal J@TI (TEKNIK INDUSTRI) Industrial and Systems Engineering Assessment Journal (INASEA) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Syntax Fusion : Jurnal Nasional Indonesia Global Education Journal JUITAK : Jurnal Ilmiah Teologi dan Pendidikan Kristen Journal Of Engineering Sciences (Improsci)
Daniel Siswanto
Jurusan Teknik Industri, Fakultas Teknologi Industri Universitas Katolik Parahyangan, Bandung
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Veterinary Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal Of Engineering Sciences (Improsci)

 1 
Effects of Energy Drink Types on Male and Female Drivers in an Effort to Reduce Drowsiness While Driving Jovan Kurnia, Christopher; Siswanto, Daniel; Susanto, Sani
Jurnal Improsci Vol 1 No 4 (2024): Vol 1 No 4 February 2024
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/improsci.v1i4.186

Abstract

Energy drinks are stimulants that men or women generally use to handle sleepiness while driving with sleep deprivation. There is no study about energy drink’s effect on gender. This study aims to learn about energy drinks in different genders while driving with sleep deprivation. Research is done using a laboratory approach using a driving simulator. Ten men and ten women were participants (21 ± 0.95 years). Participants were asked to drive for 90 minutes, and before driving the simulator, participants drank coconut water or Kratingdeng based on the planned order. PVT measured awareness before and after participants used the simulator. Dependent variables measured are mean RT, %minor lapses, and mean 1/RT. EEG evaluated sleepiness during the driving session. Based on ANOVA, energy drinks did not influence mean RT (p-value = 0,088), mean 1/RT (p-value= 0,058), %minor lapses (p-value =0,571), and EEG (p-value = 0,348). Meanwhile, EEG measured sleepiness and was only influenced by gender (p-value = 0,048). Based on the test, there is no difference between the two energy drinks. It is caused by an energy drink’s material that gives the body the same stimulant level. There is a difference in Mean 1/RT between gender and energy drinks. It is caused by composition such as potassium in coconut water or taurine and caffeine in Kratingdeng. The research shows that energy drinks do not influence awareness and sleepiness while driving for 90 minutes. However, energy drinks give different results in awareness of different genders.
Room Steering Temperature Determination with Variable Concerned of Driver Conditions Who are Sleep Deprived and Road Condition Ferdinand, Ryan; Siswanto, Daniel; Susanto, Sani
Jurnal Improsci Vol 1 No 5 (2024): Vol 1 No 5 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.
Study of Reliability of PC-PVT 2.0 on Sex and Sleep Duration Restrictions Factors Siswanto, Daniel; Susanto, Sani; Indranila, M.V.
Jurnal Improsci Vol 2 No 5 (2025): Vol 2 No 5 April 2025
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/jurnalimprosci.v2i5.661

Abstract

Background.  There are two million workers in Indonesia who died from work accidents caused by fatigue. Fatigue is a contributing factor to accidents, injuries, and deaths. The differences between men and women hinder the relationship between fatigue and gender. On average, women work less hours than men. Aim. Lack of sleep, increased alertness, and longer duration of work can increase a person's fatigue. Someone who experiences sleepiness and fatigue has a strong relationship with decreased alertness. One of the measuring tools used for the evaluation of human awareness is the Psychomotor Vigilance Task (PVT). So the aim of this study is to determine the reliability level of PC-PVT 2.0 on gender and limited sleep duration factors Methods. This study uses Personal Computer (PC) - PVT 2.0 as a tool with three parameters: mean reaction time (RT), minor lapses, and number of false starts as indicators of alertness. The PC-PVT 2.0 tool has not been tested for its reliability in measuring the level of alertness when it is under the influence of sex differences and limited sleep duration. This study involved sixteen participants (eight men and eight women with a mean age of 21.375 1.087) to test PC-PVT 2.0 for 10 minutes with two tests for each treatment. During the PC-PVT 2.0 test, each participant's heart rate data was recorded using the Mi Band 2. Each participant received two treatments, sleep for 4 hours and 8 hours with two repetitions (test-retest). PC-PVT 2.0 testing on the effect of gender and limited sleep duration used two methods: Multivariate Analysis of Variance (MANOVA) and Analysis of Variance (ANOVA). In determining the reliability value, the Intraclass Correlation Coefficient (ICC) method is used with a two-way mixed effect model, definitions of absolute agreement & consistency, and multiple measurement types. Result. ANOVA and MANOVA test results showed that the three parameters of PC-PVT 2.0 affected the differences in sleep treatment conditions, namely lack of sleep (4 hours) and sufficient sleep (8 hours). However, the PC-PVT 2.0 parameter, which had an effect on gender differences, was only valid for the mean RT and minor lapses parameters. The reliability test results showed that the mean RT parameter had an ICC value of > 0.8 for all test categories (male, female, lack of sleep and sufficient sleep) with a good reliability rating category. The minor lapses parameter has an ICC value of > 0.7 for all test categories with sufficient reliability rating categories. Conclusion. This shows that the PC-PVT 2.0 device with the alertness indicator of the mean RT and minor lapse parameters has a high level of reliability when it is under the influence of sex differences and limited sleep duration. Implementation. PC-PVT 2.0 is reliable on Sex and Sleep Duration Restrictions Factors
Co-Authors Alberto, Giovano Beni Chandra Purba Ferdinand, Ryan Hanky Fransiscus Hutabarat, Bernard Maruli Indranila, M.V. Jovan Kurnia, Christopher Kristiana Asih Damayanti Nainggolan, Sarwedy Paulus Sukapto Rolyana Ferinia Romy Loice Sani Susanto Sidabutar, Rosi Filia Kristina sinaga, janes Sinaga, Japolman Sinambela, Juita Sinambela, Juita Lusiana Stimson Hutagalung Sugih Sudharma Tjandra, Sugih Sudharma Tamba, Gerbin Thedy Yogasara Theopilus, Yansen Vila Sutra Kusuma Dewi Woran, Ramlen