scholarly journals ANALISIS BEBAN KERJA MENTAL PEKERJA BAGIAN GROUND H ANDLING BANDARA ADISUTJIPTO UNTUK MENDUKUNG KESELAMATAN PENERBANGAN

2017 ◽  
Vol 7 (2) ◽  
pp. 115
Author(s):  
Eko Poerwanto ◽  
Gunawan Gunawan

Increased need for air transport will increase the activity of ground handling at airports. Increased activity of this will affect the mental workload received personnel who carry it out. Any increase in mental workload will affect the occurrence of human error and affect flight safety. Analysis of mental workload ofpart o f ground handling personnel is very important to ensure acceptable personnel workloads according to workload capacity available. This mental workload research using NASA-TLX method, that the procedure uses a multi-dimensional rating, and divide the workload on the basis of the average loading 6 dimensions, namely Mental Demand, Physical Demand, Temporal Demand, Effort, Own Performance, and frustation. NASA-TLX is divided into two phases, namely a comparison of each scale (Paired Comparison) and giving value to the work (Event Scoring). The research objective is to ensure the mental workload of part of ground handling Adisucipto airport in Yogyakarta, in accordance with their capacity, so as to avoid human error and to support aviation safety. The results showed that the mean score of mental workload ground handling activities by PT. Gapura Air and PT. Kokapura Avia in Yogyakarta Adisucipto airport in the mental workload optimization group, which indicates mental workload received by workers are safe (no overload).

Author(s):  
Zohreh BAKHSHI ◽  
Majid MOTAMEDZADE ◽  
Maryam FARHADIAN

Introduction: Mental workload is one of the effective factors on the performance and efficiency of people working in an organization that put their health at risk. The aim of this study was to determine the mental workload of staffa working in a bank in Hamadan City of Iran  by NASA-TLX method. Methods: In this cross-sectional study, 110 bank employees were surveyed. The data were collected using demographic and NASA-TLX questionnaires. Finally, collected data were analyzed using SPSS version 21 by running descriptive statistics and statistical tests. Results: According to the participants, the mean and standard deviation of effort and mental demand, as the most important dimensions were 81.04 ± 14.51 and 79.50 ± 18.05, respectively. The performance dimension was selected as the least important dimension with the mean and standard deviation of 64.37 ± 10.17. The results of statistical analysis showed no significant relationship between the participants' total score of mental workload and their demographic information such as age, gender, educational level, marital status, experience, and work overtime(P>0.05). The Pearson correlation coefficient showed that age (P<0.05) and work experience (P<0.01) had a significant and inverse relationship with temporal demand dimension . Conclusion: Based on the findings, the mean of perceived mental workload of bank employees was high. Therefore, effective programs should be conducted to mitigate and reduce the mental workload and to promote mental health of bank employees.


2021 ◽  
Vol 8 (12) ◽  
pp. 622-626
Author(s):  
Hariadi Ramadhana ◽  
Harmain Nasution ◽  
Yeni Absah

All human activities, whether light, medium, or heavy, must have or contain a workload. Basically, every human being has a varied workload capacity, thus it's not inconceivable that the workload experienced by one worker differs from that of another, because there are a variety of elements that influence the difference in workload capacity. Sales and processing teams are under a lot of pressure to meet credit disbursement targets, which puts them under a lot of mental strain. A worker will experience work stress if he is given an excessive workload. When it comes to work, the influence of stress will result in a decline in performance, efficiency, and productivity of the work in question. To address this issue, a study based on the National Aeronautics and Space Administration Task Load Index (NASA-TLX) approach will be conducted to measure the mental strain of personnel in the Medan Balaikota consumer loan unit. NASA-TLX is a way for analyzing the mental workload of workers who must do a variety of tasks at work. Mental demand, physical demand, temporal demand, performance, effort, and frustration dimensions are among the six variables to be measured. Thirty workers of PT Bank XYZ Consumer Loan Unit Medan Balaikota Branch were surveyed. The NASA-TLX survey method is a quantitative descriptive methodology that was utilized to test in this study. According to the findings of the study, the NASA-TLX average score of PT Bank XYZ Consumer Loan Unit Medan Balaikota Branch employees obtained through research had a modest value. The result is a score of 77. Keywords: Mental Workload, NASA-TLX.


The use of new technologies in productive processes nowadays poses a challenge to the users, mainly because those technologies create them a necessity for learning and adaptation. This study focused on the assessment and analysis of mental workload and human error as experienced by users of Fused Filament Fabrication (FFF) printers, which is the most recent development in a series of technologies known as Additive Manufacturing (AM). Eight subjects were asked to complete the setting up of three commercial FFF equipment. Hierarchical Task Analysis (HTA) was used to describe the tasks. NASA-TLX method was used to assess the mental workload involved, and SHERPA method was applied to identify human errors while completing the task. The results of HTA show that leveling the printing bed is the most demanding activity on the subject's concentration. NASA-TLX shows that Mental Demand subscale had the highest average punctuation with 78.75 points, followed by Temporal Demand with an average of 61 points. As for SHERPA analysis, 59 human errors were identified in that particular task. In detail, 54.2% were action errors, 22.0% were selection errors, and 18.6% were checking errors. The combination of HTA, NASA-TLX and SHERPA techniques, permitted a complete analysis of the interaction between humans and this technology, opening the way to improvements in the design of FFT equipment which possibly might prevent future effects on user’s health.


2022 ◽  
Vol 8 (2) ◽  
pp. 333-338
Author(s):  
Muhammad Qurthuby

Giving excessive workloads causes work stress both physically and psychologically and emotional reactions. The excess workload experienced by drivers and swampers at PT XYZ results in reduced attention at work, decreased work motivation, and decreased skill levels, thus affecting drivers and swampers productivity and the chance of a work accident is very high. This study aims to measure the Mental Workload of Job Driver and Swampers Fuel Tank Using the NASA-TLX Method. The NASA-TLX score obtained 93.8, driver 2  get 83.7, driver 3  91.3, swamper 1  91, swamper 2 89.5, and swamper 3 94.7. Elements of mental workload that are very influential are Mental Demand with a percentage of 22%, Effort 20%, Physical Demand 18%, Own Performance 15%, Frustation Level 15% and Temporal Demand 12%.


Author(s):  
Doug A. Peterson ◽  
Denis Kozhokar

The present study examines the possible impact of the peak-end rule as it applies to the measurement of subjective workload. Researchers presented participants with the same three tasks presented in a different order and asked participants to rate the workload of the entire session using a single item rating scale and the NASA-TLX. One of the three tasks was designed to be more challenging than the other two as confirmed by a manipulation check. When the challenging task was presented last in the session, there were significantly higher ratings on the TLX-mental demand and TLX-effort subscales. The overall NASA-TLX and the single item rating scale both produced scores that were higher when this challenging task was last but did not reach statistical significance. Future research regarding subjective mental workload should be careful to consider these end-effects as a potential source of bias.


2015 ◽  
Author(s):  
Gerhard Marquart ◽  
Joost de Winter

Pupillometry is a promising method for assessing mental workload and could be helpful in the optimization of systems that involve human-computer interaction. The present study focuses on replicating the studies by Ahern (1978) and Klingner (2010), which found that for three levels of difficulty of mental multiplications, the more difficult multiplications yielded larger dilations of the pupil. Using a remote eye tracker, our research expands upon these two previous studies by statistically testing for each 1.5 s interval of the calculation period (1) the mean absolute pupil diameter (MPD), (2) the mean pupil diameter change (MPDC) with respect to the pupil diameter during the pre-stimulus accommodation period, and (3) the mean pupil diameter change rate (MPDCR). An additional novelty of our research is that we compared the pupil diameter measure with a self-report measure of workload, the NASA Task Load Index (NASA-TLX), and with the mean blink rate (MBR). The results showed that the findings of Ahern and Klingner were replicated, and that the MPD and MPDC discriminated just as well between the lowest and highest difficulty levels as did the NASA-TLX. The MBR, on the other hand, did not interpretably differentiate between the difficulty levels. Moderate to strong correlations were found between the MPDC and the proportion of incorrect responses, indicating that the MPDC was higher for participants with a poorer performance. For practical applications, validity could be improved by combining pupillometry with other physiological techniques.


Author(s):  
Brian W. Moroney ◽  
Joel S. Warm ◽  
William N. Dember

This study examined the effects of transitions in task demand on vigilance performance and perceived mental workload. Task demand was manipulated through variations in background event rate–the rate of cascade of neutral events which must be monitored in order to detect critical signals. As is typical in vigilance research, overall performance varied inversely with event rate in all phases of the study. The post-transition performance of observers shifted from a fast-to-slow event rate (high-to-low task demand) remained below that of their continuous slow event rate controls, and was thus unaffected by the shift. In contrast, the post-transition performance of monitors shifted in the opposite direction, slow-to-fast event rate, was affected by the shift. In this case, the performance of the shifted observers fell below that of their continuous fast event rate controls. These results challenge prior findings indicating that psychophysical contrast is the representative outcome of shifts in information-processing demand in vigilance tasks (Krulewitz, Warm, & Wohl, 1975). Consistent with previous findings, workload scores, as indexed by the NASA-TLX, fell at the mid-to-upper level of the scale. Shifted observers who experienced both high and low levels of task demand during the vigil showed differences in composite ratings on the Mental Demand subscale. These results serve to caution that workload measurements obtained through the NASA-TLX at the end of an experimental session containing variations in task demand do not simply reflect an averaging of the observer's demand experiences.


Author(s):  
Nafi`ah Nurfi Afriansyah

ABSTRACK The main task of midwife support was to decrease Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR) by midwifery services. The profession of midwife not only as midwifery services but also as a manager, researcher, and educator in society. Profession as a midwife need good physical and mental health. Therefore, all midwifery professionals were have to optimum performances. This research aim were to describe mental work loads and work fatigue of midwife in Puskesmas Jetis Yogyakarta. This research was decriptive with cross sectional approach. The sample used total sampling with 15 midwifes who worked in Puskesmas Jetis Yogyakarta. The instruments for collect the data used by interview, observation, and filling NASA-TLX with IFRC questionnaires. The results showed that physic workload category amount to 46% (Physical Demand = 14%, Temporal Demand = 22%, Own Performance = 10%), and mental workload category amount to 54% (Mental Demand = 18%, Frustation = 15%, Effort = 21%), also average fatigue of midwife on the medium level as 60 %. The conclusion of this research showed that mental workload of midwife gave more effect than physic workload. Keywords: work load, midwife, work fatigue ABSTRAK Tugas utama profesi bidan adalah mendukung penurunkan Angka Kematian Ibu (AKI) dan Angka Kematian Bayi (AKB) melalui pelayanan kebidanan yang berkualitas. Tugas bidan tidak hanya sebagai pelaksana pelayanan kebidanan, namun juga mempunyai peran sebagai pengelola, peneliti, dan pendidik di masyarakat. Profesi sebagai bidan merupakan pekerja yang membutuhkan kesehatan fisik dan mental yang baik. Oleh sebab itu profesi bidan dituntut memiliki performa yang optimal. Pada penelitian ini bertujuan untuk menggambarkan beban kerja mental dan kelelahan kerja pada bidan di Puskesmas Jetis Yogyakarta. Jenis penelitian secara deskriptif dengan pendekatan waktu cross sectional. Sampel dalam penelitian ini menggunakan total sampling sebanyak 15 Bidan yang bekerja di Puskesmas Jetis Yogyakarta. Instrumen yang digunakan untuk pengambilan data menggunakan kuisioner beban kerja NASA –TLX, kuisioner IFRC, wawancara, dan observasi. Hasil penelitian ini menunjukkan bahwa dimensi NASA-TLX kategori Beban Kerja Fisik sebesar 46% (Physical Demand = 14%, Temporal Demand = 22%, Own Performance = 10%), dan kategori Beban Kerja Mental sebesar 54% (Mental Demand = 18%, Frustation = 15%, Effort = 21%), serta rata – rata tingkat kelelahan kerja sedang sebesar 60%. Kesimpulan dalam penelitian ini menunjukkan bahwa beban kerja mental pada bidan dirasakan lebih besar daripada beban kerja fisik. Kata Kunci : beban kerja, bidan, kelelahan kerja


2018 ◽  
Vol 154 ◽  
pp. 01078
Author(s):  
Sri Indrawati ◽  
Atyanti Dyah Prabaswari ◽  
Tasya Pradipta

The responsibilities of occupational health and safety workers are very hard to ensure other workers is safety. The responsibility make the workers of occupational health and safety has some affecting to their job. Some effect can cause over the mental workload. This research aims to determine the score of mental workload from three professions in occupational health and safety, i.e. safetyman contractor, safetyman field and safetyman officer. Six indicators in the NASA-TLX method, i.e. mental demand (MD), physical demand (PD), temporal demand (TD), performance (OP), effort (EF) and frustration level (FR) are used to determine the worker’s mental workload. The result shows mental demand (MD) is the most dominant indicators affecting the mental workload between safetyman contractor, safetyman field and safety officer. The highest mental workload score among safety workers is on the safetyman field with WWL score at 62,38, because among the three types safety workers, the highest MD is on the safetyman field due to the responsibility.


2015 ◽  
Author(s):  
Gerhard Marquart ◽  
Joost de Winter

Pupillometry is a promising method for assessing mental workload and could be helpful in the optimization of systems that involve human-computer interaction. The present study focuses on replicating the studies by Ahern (1978) and Klingner (2010), which found that for three levels of difficulty of mental multiplications, the more difficult multiplications yielded larger dilations of the pupil. Using a remote eye tracker, our research expands upon these two previous studies by statistically testing for each 1.5 s interval of the calculation period (1) the mean absolute pupil diameter (MPD), (2) the mean pupil diameter change (MPDC) with respect to the pupil diameter during the pre-stimulus accommodation period, and (3) the mean pupil diameter change rate (MPDCR). An additional novelty of our research is that we compared the pupil diameter measure with a self-report measure of workload, the NASA Task Load Index (NASA-TLX), and with the mean blink rate (MBR). The results showed that the findings of Ahern and Klingner were replicated, and that the MPD and MPDC discriminated just as well between the lowest and highest difficulty levels as did the NASA-TLX. The MBR, on the other hand, did not interpretably differentiate between the difficulty levels. Moderate to strong correlations were found between the MPDC and the proportion of incorrect responses, indicating that the MPDC was higher for participants with a poorer performance. For practical applications, validity could be improved by combining pupillometry with other physiological techniques.


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