Mental Workload Analysis Using NASA-TLX Method Between Various Level of Work in Plastic Injection Division of Manufacturing Company

2016 ◽  
pp. 311-319 ◽  
Author(s):  
Egah Hasta Puspawardhani ◽  
Muhammad Ragil Suryoputro ◽  
Amarria Dila Sari ◽  
Ratih Dianingtyas Kurnia ◽  
Hari Purnomo
Keyword(s):  
Mental Workload ◽  
Workload Analysis ◽  
Manufacturing Company ◽  
Nasa Tlx ◽  
Plastic Injection

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 Workload Analysis Using Work Sampling and NASA-TLX for Employee of Private University in Surabaya

2019 ◽  
Vol 18 (2) ◽  
pp. 134-141
Author(s):  
Wiwin Widiasih ◽  
Hilyatun Nuha
Keyword(s):  
Performance Measurement ◽  
Mental Workload ◽  
Research Result ◽  
Physical Workload ◽  
Operational Characteristic ◽  
Workload Analysis ◽  
Work Sampling ◽  
Nasa Tlx ◽  
Pareto Method ◽  
Job Position

Employees are valuable asset in an organization. The organization can be defined as two types namely a profit or nonprofit company, and government institution. Employees as a capital human for these organization have big roles for performance measurement. Performance measurement of employee is used to determine whether the worker has been working efficient or not. Workload analysis is defined as analysis of a set or number of activities that must be completed by an organizational unit or position holder within a certain period of time. In this research, it will show employee workload analysis using two approaches in order to complete each other. Firstly, work sampling method was used to determine workload in physically. Secondly, NASA-TLX was utilized to analyze workload in mentally. Pareto method will also take a part for analysis the research result to be more comprehensive. This research has conducted in an East Java’s University-Indonesia. The respondents are employees who have each job description to do their work in each position. The employee’s workload will be calculated both physical and mental. From 25 position observed, show the job position who has strategic characteristic mostly have very high mental workload whereas the job position who has operational characteristic mostly have high physical workload

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 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 Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation

Aerospace ◽  
2020 ◽  
Vol 7 (9) ◽  
pp. 137
Author(s):  
Andrea Alaimo ◽  
Antonio Esposito ◽  
Calogero Orlando ◽  
Andre Simoncini
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Mental Workload ◽  
Subjective Evaluation ◽  
Biometric Data ◽  
Workload Analysis ◽  
Main Research ◽  
Nonlinear Relationships ◽  
Nasa Tlx ◽  
Aircraft Pilots

Workload and fatigue of aircraft pilots represent an argument of great interest in the framework of human factors and a pivotal point to be considered in aviation safety. 75% of aircraft accidents are related to human errors that, in most cases, are due to high level of mental workload and fatigue. There exist several subjective or objective metrics to quantify the pilots’ workload level, with both linear and nonlinear relationships reported in the literature. The main research objective of the present work is to analyze the relationships between objective and subjective workload measurements by looking for a correlation between metrics belonging to the subjective and biometric rating methods. More particularly, the Heart Rate Variability (HRV) is used for the objective analysis, whereas the NASA-TLX questionnaire is the tool chosen for the subjective evaluation of the workload. Two different flight scenarios were considered for the studies: the take-off phase with the initial climb and the final approach phase with the landing. A Maneuver Error Index (MEI) is also introduced to evaluate the pilot flight performance according to mission requirements. Both qualitative and quantitative correlation analyses were performed among the MEI, subjective and objective measurements. Monotonic relationships were found within the HRV indexes, and a nonlinear relationship is proposed among NASA-TLX and HRV indexes. These findings suggest that the relationship between workload, biometric data, and performance indexes are characterized by intricate patterns of nonlinear relationships.

scholarly journals Mental workload analysis on fruit truck suppliers using NASA-TLX method in giwangan market area

2020 ◽  
Vol 982 ◽  
pp. 012059
Author(s):  
Bagus Wahyu Utomo ◽  
Atyanti Dyah Prabaswari ◽  
Riani Nurdin ◽  
Calvin Hasiolan Sinaga
Keyword(s):  
Mental Workload ◽  
Market Area ◽  
Workload Analysis ◽  
Nasa Tlx

Evaluation of Subjective Mental Workload: A Comparison of SWAT, NASA-TLX, and Workload Profile Methods

2004 ◽  
Vol 53 (1) ◽  
pp. 61-86 ◽  
Author(s):  
Susana Rubio ◽  
Eva Diaz ◽  
Jesus Martin ◽  
Jose M. Puente
Keyword(s):  
Mental Workload ◽  
Nasa Tlx

The Effects of Practice on Navigation Performance and Mental Workload with a Mirror-In-The-Sky Map

2021 ◽  
Vol 65 (1) ◽  
pp. 1546-1550
Author(s):  
Holland M. Vasquez ◽  
Justin G. Hollands ◽  
Greg A. Jamieson
Keyword(s):  
Task Performance ◽  
Secondary Task ◽  
Mental Workload ◽  
Task Completion ◽  
Practice Performance ◽  
Global Ratings ◽  
Detection Response ◽  
Nasa Tlx ◽  
Response Task ◽  
Completion Times

Some previous research using a new augmented reality map display called Mirror-in-the-Sky (MitS) showed that performance was worse and mental workload (MWL) greater with MitS relative to a track-up map for navigation and wayfinding tasks. The purpose of the current study was to determine—for both MitS and track-up map—how much performance improves and MWL decreases with practice in a simple navigation task. We conducted a three-session experiment in which twenty participants completed a route following task in a virtual environment. Task completion times and collisions decreased, subjective MWL decreased, and secondary task performance improved with practice. The NASA-TLX Global ratings and Detection Response Task Hit Rates showed a larger decrease in MWL with MitS than the track-up map. Additionally, means for performance and workload measures showed that differences between the MitS and track-up map decreased in the first session. In later sessions the differences between the MitS and track-up map were negligible. As such, with practice performance and MWL may be comparable to a traditional track-up map.

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%.

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