scholarly journals Mental Workload Analysis Using NASA-TLX Method at Bank XYZ - Medan Balaikota Consumer Loan Unit

2021 ◽  
Vol 8 (12) ◽  
pp. 622-626
Author(s):  
Hariadi Ramadhana ◽  
Harmain Nasution ◽  
Yeni Absah
Keyword(s):  
Mental Workload ◽  
Survey Method ◽  
Average Score ◽  
Mental Strain ◽  
Workload Analysis ◽  
Task Load ◽  
Mental Demand ◽  
Workload Capacity ◽  
Nasa Tlx ◽  
The Difference

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.

scholarly journals ANALYSIS OF DETERMINATION THE NUMBER PERSONNEL BASED ON WORKLOAD ACCORDING TO JOB DESCRIPTION (STUDY CASE IN ACCOUNTING INSTITUTIONS)

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 34
Author(s):  
Ahmadi Ahmadi ◽  
Wahyu Endriyanto ◽  
Benny Sukandari ◽  
Agus Makhrowi
Keyword(s):  
Mental Workload ◽  
Optimal Number ◽  
Physical Workload ◽  
Job Description ◽  
Workload Analysis ◽  
Task Load ◽  
Workload Measurement ◽  
Measurement Analysis ◽  
Nasa Tlx

The workload is highly related to efficient and effective human resource utilization in an organization to achieve organizational objectives, vision, and mission. Various methods are used to optimize the number of personnel in an organization so that each task can be completed quickly and precisely. Accounting Institutions are inseparable from problems regarding the lack of workload with the number of personnel working on it. The change of the Policy gives an impact on the change of Job Description and List of Personnel Arrangements of the organization. To overcome these issues, workload measurement, analysis can be used to determine the optimal amount of personnel required in their working units. This study uses a mental workload measurement so called NASA-TLX and physical workload measurement According to the applicable workload regulation that is in accordance with the Administrative Direction of Workload Analysis. Both methods are then carried out to be compared to each other. The results showed that the physical workload is required in the completion of tasks in each work unit. In addition, the determination of the optimal number of personnel using physical workload or appropriate tasks per task position based Job Description is performed. As a result, it is known that there is an excessive workload in the Sub Service Budget Cost work units with personal shortcomings. On the other hand, there is an excessive personnel number in Administrative Work, Sub Department of Finance Administration and Sub Department Financial Control. The overall conclusion of this study is a need for personnel reduction in a List of Personnel Arrangements currently known as Accounting Institutions to be 39 personnel instead of the existing 48 personnel.  Keywords: Workload, NASA-TLX (Task Load Index), assignments Per Task title, Number of Optimal personnel

scholarly journals THE WORKLOAD ANALYSIS OF EMPLOYEE BY USING NATIONAL AERONAUTICS AND SPACE ADMINISTRATION-TASK LOAD INDEX METHOD (NASA-TLX)

2017 ◽  
Vol 13 (2) ◽  
pp. 81
Author(s):  
Nur Azemil
Keyword(s):  
Human Resources ◽  
Mental Workload ◽  
Educational Institutions ◽  
Chi Square ◽  
Index Method ◽  
Workload Analysis ◽  
Task Load ◽  
High Workload ◽  
Nasa Tlx ◽  
And Performance

Development of manufacturing and service institutions can not be separated from the role of human resources. Human resources have an important role in fulfilling vision and mission. University of A is one of the private educational institutions in East Java to achieve the goal must be managed properly that can be utilized optimally, this can be done by analyzing workload and performance or optimizing the number of employees. The purpose this research is measure workload and effect the employee’s performance. Measurement of workload is using National Aeronautics and Space Administration-Task Load Index (NASA-TLX) method, NASA-TLX method is rating multidimentional subjective mental workload  that divides<em> </em>the workload based on the average load of 6 dimensions, and the measurement of performance is using questionnaire with 5 scales by likert scale. The results showed that employees who have Medium workload is 8%, High workload is 84% and Very high workload is 8%. The result of the questionnaire showed the category of employee’s performance, simply performance is 24% and satisfactory performance is 76%. From the statistical test by using <em>Chi Square</em> method, it is known that the value = 5,9915 and = 2,2225, the result shows <strong> &lt; </strong> , then  is accepted and  is rejected. Thus, there is influence between the workload of employees and the employees’s performance.

scholarly journals The mental workload analysis of safety workers in an Indonesian oil mining industry

2018 ◽  
Vol 154 ◽  
pp. 01078
Author(s):  
Sri Indrawati ◽  
Atyanti Dyah Prabaswari ◽  
Tasya Pradipta
Keyword(s):  
Occupational Health ◽  
Mental Workload ◽  
Health And Safety ◽  
Mining Industry ◽  
Occupational Health And Safety ◽  
Workload Analysis ◽  
Mental Demand ◽  
Safety Officer ◽  
Nasa Tlx ◽  
Frustration Level

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.

scholarly journals THE MEASUREMENT OF NURSES’ MENTAL WORKLOAD USING NASA-TLX METHOD (A CASE STUDY)

2020 ◽  
Vol 20 (Special1) ◽  
pp. 60-63
Author(s):  
Nur I ◽  
Iskandar H ◽  
Ade RF
Keyword(s):  
Mental Workload ◽  
Task Load ◽  
Average Value ◽  
Mental Demand ◽  
High Workload ◽  
Nasa Tlx ◽  
Years Of Service ◽  
Primary Groups ◽  
Very High

Nurse is a profession that has a quite high workload. It can be seen from how often they should encounter situations which compel them to undergo precisely right decision in saving patients’ lives. Various environmental conditions increase the frustration rate of the nurses, such as noise of the crowds and medical equipment, as well as smell of medicines and wounds at once. Moreover, demands from the patients’ family make it even tougher for them. Therefore, this study aims to measure the mental workload of the nurses at Intensive Care Unit (ICU) and emergency unit (IGD) in the Hospital ZA based on their years of service. The study was conducted using the method of NASA-TLX (National Aeronautics and Space Administration – Task Load Index). It measured the workload in six dimensions: Mental Demand (MD), Physical Demand (PD), Temporal Demand (TD), Own Performance (P), Effort (EF), and Frustration Rate (FR). The results of the study show that the average value of the nurses’ workload at ICU and IGD is in the category very high (respectively 80 and 83) for the nurses with 0-3 years of service, and the most contributing factor for both the primary groups is the effort (EF).

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
Keyword(s):  
Human Error ◽  
Mental Workload ◽  
Paired Comparison ◽  
Mental Demand ◽  
Workload Capacity ◽  
Ground Handling ◽  
The Mean ◽  
Nasa Tlx ◽  
Two Phases ◽  
Increased Activity

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).

scholarly journals Forecasters’ Cognitive Task Analysis and Mental Workload Analysis of Issuing Probabilistic Hazard Information (PHI) during FACETs PHI Prototype Experiment

2020 ◽  
Vol 35 (4) ◽  
pp. 1505-1521
Author(s):  
Joseph J. J. James ◽  
Chen Ling ◽  
Christopher D. Karstens ◽  
James Correia Jr. ◽  
Kristin Calhoun ◽  
...  
Keyword(s):  
Situational Awareness ◽  
Mental Workload ◽  
Cognitive Task ◽  
New Paradigm ◽  
Contributing Factors ◽  
Workload Analysis ◽  
Environmental Threats ◽  
Task Load ◽  
Mental Demand ◽  
Prototype Tool

AbstractDuring spring 2016 the Probabilistic Hazard Information (PHI) prototype experiment was run in the National Oceanic and Atmospheric Administration (NOAA) Hazardous Weather Testbed (HWT) as part of the Forecasting a Continuum of Environmental Threats (FACETS) program. Nine National Weather Service forecasters were trained to use the web-based PHI prototype tool to produce dynamic PHI for severe weather threats. Archived and real-time weather scenarios were used to test this new paradigm of issuing probabilistic information, rather than deterministic information. The forecasters’ mental workload was evaluated after each scenario using the NASA-Task Load Index (TLX) questionnaire. This study summarizes the analysis results of mental workload experienced by forecasters while using the PHI prototype. Six subdimensions of mental workload: mental demand, physical demand, temporal demand, performance, effort, and frustration were analyzed to derive top contributing factors to workload. Average mental workload was 46.6 (out of 100, standard deviation: 19, range 70.8). Top contributing factors to workload included using automated guidance, PHI object quantity, multiple displays, and formulating probabilities in the new paradigm. Automated guidance provided support to forecasters in maintaining situational awareness and managing increased quantities of threats. The results of this study provided understanding of forecasters’ mental workload and task strategies and developed insights to improve usability of the PHI prototype tool.

Pengukuran Beban Kerja Mental Job Driver Dan Swamper Team Fuel Menggunakan NASA-TLX

2022 ◽  
Vol 8 (2) ◽  
pp. 333-338
Author(s):  
Muhammad Qurthuby
Keyword(s):  
Work Stress ◽  
Work Motivation ◽  
Mental Workload ◽  
Emotional Reactions ◽  
Skill Levels ◽  
Physical Demand ◽  
Mental Demand ◽  
Work Accident ◽  
Nasa Tlx ◽  
Very High

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%.

scholarly journals ALLOCATION OF MARITIME TASK FORCE PERSONNEL UNIFIL CONTINGEN BASED ON ANALYSIS WORK LOADS

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 11
Author(s):  
Ahmadi Ahmadi ◽  
Okol Sri Suharyo ◽  
Arimbo Arimbo ◽  
Aab Abdul Wahab
Keyword(s):  
Task Force ◽  
Mental Workload ◽  
Physical Workload ◽  
Index Number ◽  
Task Load ◽  
Workload Measurement ◽  
Physical Burden ◽  
Nasa Tlx ◽  
The Right

The workload of an organization is related to the efficient and effective utilization of human resources so that it can realize the vision, mission and objectives of the organization. Various methods are used to optimize the number of personnel in an organization, so that each task can be completed effectively and efficiently. KRI Diponegoro-365 personnel as the TNI Maritime Task Force, the Garuda Contingent can not be separated from the problems regarding the lack of conformity to workload with the allocation of the number of available personnel. To overcome this, an analysis of workload measurement is needed which can then be used for determine the allocation of the right number of personnel needed in each division. This study uses the measurement of NASA-TLX mental workload and physical workload according to TNI Roles. Both of these methods are then compared between mental and physical burden that occurs. From the results of the comparison, it was found that physical workload is needed in the completion of tasks in each division. After a comparison, then the determination of the allocation of the number of personnel will be carried out using the physical workload approach based on the description of the tasks in each division. The results of the calculation will then show the division that has excess or lack of personnel. The overall results obtained from this study can be concluded that the number of maritime task force personnel using the Diponegoro class KRI is appropriate, but the allocation of personnel in each division needs to adjust to the existing workload.  Keywords: Workload, NASA-TLX (Task Load Index), Number of Military Personnel

Peak-End Effects for Subjective Mental Workload Ratings

2017 ◽  
Vol 61 (1) ◽  
pp. 2052-2056 ◽  
Author(s):  
Doug A. Peterson ◽  
Denis Kozhokar
Keyword(s):  
Rating Scale ◽  
Mental Workload ◽  
Statistical Significance ◽  
Future Research ◽  
End Effects ◽  
Manipulation Check ◽  
Single Item ◽  
Mental Demand ◽  
Nasa Tlx ◽  
Different Order

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.

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