How to cite:
Iyus Yosep, Dimas Wibawa Sakti, Furkon Nurhakim. (2022). Task Level
Decrease Commitment Due to Zoom Fatigue in Nursing Faculty,
Padjadjaran University. Journal Eduvest. Vol 2(7): 1.328-1.336
E-ISSN:
2775-3727
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Eduvest Journal of Universal Studies
Volume 2 Number 7, July, 2022
p- ISSN 2775-3735- e-ISSN 2775-3727
TASK LEVEL DECREASE COMMITMENT DUE TO ZOOM
FATIGUE IN NURSING FACULTY, PADJADJARAN
UNIVERSITY
Iyus Yosep
1
, Dimas Wibawa Sakti
2
, Furkon Nurhakim
3
Universitas Padjadjaran, Indonesia
Email: iyuskasep_[email protected]
1
, Dimas18013@mail.unpad.ac.id
2
,
3
ABSTRACT
The Covid-19 pandemic that hit the world, Indonesia is no
exception, has had a huge impact on various sectors, one of
which is the education sector. Many activities that must be
done online cause students to experience fatigue commonly
called zoom fatigue and affect the task commitment level of
students. The purpose of this study was to determine the
relationship between Zoom fatigue and level tasks
commitment on the students-level I Faculty of Nursing,
University of Padjadjaran. This type of research is
quantitative with a descriptive correlation design. The data
collection technique used in this study is a questionnaire using
google forms. The instrument used in this study is the Zoom
fatigue & Fatigue Scale to measure zoom fatigue and the
Task Commitment level Scale to measure task commitment
levels. Data analysis conducted in this study is to use Rank
spearman to test the hypothesis test. The results of data
analysis conducted using the Spearman correlation technique
obtained a sig value of 0.119 > 0.05 then it was concluded
that there is no significant relationship between Zoom fatigue
and task commitment level in Level I Students of the Faculty
of Nursing, University of Padjadjaran. Researchers are further
advised to identify also related to other variables that affect
the level of task commitment such as punishment, reward,
and praise, as well as environmental conditions.
KEYWORDS
Students, The Level of Task Commitment, Zoom Fatigue
Iyus Yosep, Dimas Wibawa Sakti, Furkon Nurhakim
Task Level Decrease Commitment Due to Zoom Fatigue in Nursing Faculty, Padjadjaran
University 1.329
This work is licensed under a Creative Commons
Attribution-ShareAlike 4.0 International
INTRODUCTION
The Covid-19 pandemic that has hit the world, including Indonesia, has greatly
impacted various sectors, one of which is the education sector. As an affected country, the
government through the Ministry of Education and Culture issued a circular no. 1 of 2020
which contains that all forms of learning must be done online (Djalante et al., 2020).
In the current pandemic conditions, not only educators are forced to follow
policies, but students, especially first-year students, are where they have to adapt to two
conditions, namely, the world of lectures and they must also be able to adapt to the
pandemic conditions that are still happening today (Cicha, Rizun, Rutecka, & Strzelecki,
2021). Many activities that must be carried out by first-year students starting from new
student admissions, and student orientation, to lectures, are all done online. This causes
students to experience fatigue caused by online-based activities. The incident is often
referred to as Zoom fatigue. Zoom fatigue is a feeling that arises from staring at a video
conference screen for too long, which results in aches, headaches, and dizziness (Wahid,
Pribadi, & Wakas, 2020).
Fatigue appears a sense of laziness, either doing video conference activities or
after activities such as doing assignments, of course it will affect the level of the task the
student 's commitment , where task level Commitment is the level of responsibility for a
task or job by utilizing the ability as optimally as possible in an effort to complete a task
or job (Umukoro & Egwakhe, 2019).
Based on a preliminary study conducted online on 23 24 October 2021 to 1 0 %
of respondents who are students from the Faculty of Nursing, Padjadjaran University
batch 2021, data obtained that all students interviewed complained of fatigue caused by
too long video conferencing. The tolerance limit for video conferencing is in the range of
30 minutes to 3 hours. While the activities carried out for video conferencing, especially
lecture activities, group discussions and student activities exceeded the tolerance limit.
In addition to fatigue, respondents complained that they were lazy to do video
conferences and carry out further activities. then respondents also often turn off the
camera because of decreased concentration, sleepiness, and stretching, and some
respondents avoid activities by being passive. There are several physical symptoms that
are felt from neck to waist pain, then headaches of moderate to severe intensity, then eye
pain, dizziness, leg pain, hand pain, and nausea (Pain, 2018).
Therefore, further research is needed that can describe the zoom relationship
fatigue on task level commitment, especially for the first-level students of the Faculty of
Nursing. The purpose of this study was to determine the relationship between Zoom
fatigue and level tasks commitment on the students-level I Faculty of Nursing, University
of Padjadjaran.
RESEARCH METHOD
This type of research is quantitative with a descriptive correlation design. The data
collection technique used in this study was a questionnaire using google forms. The
instrument used in this research is Zoom Exhaustion & Fatigue Scale to measure zoom
fatigue and Task Level Commitment Scale to measure task level commitment. Data
analysis carried out in this study was by using rank spearman to test the hypothesis
testing.
Eduvest Journal of Universal Studies
Volume 2 Number 7, July 2022
1.330 http://eduvest.greenvest.co.id
This research was conducted in January 2022 online with a population of 181
students. This study already declared get away ethics study from commission ethics
Padjadjaran University research with number 86/UN6.KEP/EC/2022.
RESULT AND DISCUSSION
The sampling technique used in this study is the total sample, namely all
members in the population as the research sample. The number of samples in this study
was 181 respondents, but there was 1 student who was not willing to participate in this
study, so the number of respondents was 180 students.
Table 1 Characteristics of Respondents
Demographic Variables
Percentage
Gender
Man
13
7.2
Woman
167
92.8
Age
17 years
6
3.3
18 years
110
61.1
19 years old
56
31.1
20 years
8
4.4
Internet connection
Wifi
58
32.2
Mobile Hotspot
37
20.6
Wifi and Mobile Hotspot
85
47.2
Device
Laptop/Computer
3
1.7
Mobile / Smartphone
10
5.6
Laptop/Computer and Mobile / Smarphone
167
92.8
Domicile
Banten
4
2.2
Jakarta
11
6.1
West Java
133
73.9
Central Java
12
6.7
Yogyakarta
1
0.6
East Java
6
3.3
Sumatra
10
5.6
Bali
1
0.6
Sulawesi
2
1.1
Based on Table 1, it can be seen that the number of male research samples was 13
people (7.2%) and the number of research samples with female sex was 167 people
(92.8%). Then the age distribution of the study sample aged 17 years was 6 people
(3.3%), the study sample was with the age of 18 years as many as 110 people (61.1%),
the study sample with the age of 19 years was 56 people (31.1%), and the study sample
with the age of 20 years as many as 8 people (4.4%).
Iyus Yosep, Dimas Wibawa Sakti, Furkon Nurhakim
Task Level Decrease Commitment Due to Zoom Fatigue in Nursing Faculty, Padjadjaran
University 1.331
In Table 1 there is also a distribution of the internet connection used by the
research sample using wifi as an internet connection as many as 58 people (32.2%), the
research sample using cellular hotspots as many as 37 people (20.6%), and the research
sample using a cellular hotspot. 85 people use both wifi and cellular hotspots (47.2%).
Furthermore, the description of the distribution of devices used by the research sample
who use laptops/computers as devices for lectures as many as 3 people (1.7%), research
samples using cellphones / smartphones as lecture media as many as 10 people (5.6%),
and research samples that use both are laptops/computers and cellphones / smartphones as
lecture media as many as 167 people (92.8%).
Finally, based on Table 1 also describes the domicile distribution of the research
sample originating from Banten as many as 4 people (2.2%), the research sample from
Jakarta as many as 11 people (6.1%), then from West Java as many as 133 people (73
,9%), then the research sample from Central Java was 12 people (6.7%), followed by the
research sample from Yogyakarta as many as 1 person (0.6%), the research sample from
East Java was 6 people ( 3.3%), the research sample from Sumatra was 10 people (5.6%),
then the research sample from Bali was 1 person (0.6%) and the last research sample
from Sulawesi was 2 people (1 ,1%).
Table 2 Descriptive Statistics
N
Min
Max
mean
Std . Deviation
Zoom Fatigue
180
23
75
50.34
9.48
Task Level
Commitment
180
71
138
105.82
20.95
In Table 2 shows that the number of research samples is good from the zoom
scale fatigue as well as from task level commitment is 180 respondents. On the zoom
scale The minimum fague score is 23 and the maximum score is 75 with a mean of 50.34
and a standard deviation of 9.48. While on the task level scale The minimum commitment
score is 71 and the maximum score is 138 for the mean value is 105.82 and the standard
deviation is 20.95.
Table 3 Variable Categories
In Table 3 above, it can be seen that there is a lot of data, namely 180 respondents
with respondents experiencing zoom low fatigue as many as 27 respondents, 122
respondents in the medium category and 31 respondents in the high category. As for
respondents who experienced the task level low commitment as many as 52 respondents,
86 respondents in the medium category and 42 respondents in the high category.
Category
Low
Currently
Tall
Zoom Fatigue
27
122
31
Task Level Commitment
52
86
42
Eduvest Journal of Universal Studies
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1.332 http://eduvest.greenvest.co.id
Table 4 Normality Test Results
One- Sample Kolmogorov-Smirnov Test
Zoom Fatigue
Task Level
Commitment
N
180
180
Normal Parameters
a,b
mean
50,2000
105.82
Std . Deviation
9.66789
20.95
Most Extreme Differences
Absolute
,084
,169
Positive
0.036
,169
negative
-,084
-,067
Test Statistics
,084
,169
Asymp . Sig . (2-tailed)
,004
c
,000
c
Based on Table 4, it is obtained that the significance value of the scale zoom
fatigue is 0.004 < 0.05 while the significance value of the task level scale commitment is
0.000 < 0.05. Because the two significance values of the two scales are less than 0.05, it
can be said that the data is not normally distributed
Table 5 Rank Correlation Test Results Spearman
Zoom Fatigue
Task Level Commitment
Zoom Fatigue
Correlation
Coefficient
1,000
-,117
Sig . (2-tailed)
.
,119
N
180
180
Task Level
Commitment
Correlation
Coefficient
-,117
1,000
Sig . (2-tailed)
,119
.
N
180
180
The results of data analysis that has been carried out using the Spearman
correlation test in Table 5 above , it is found that the research conducted on respondents
who are level I students of the Faculty of Nursing, Padjadjaran University , totaling 180
students get a significance value of 0.119 because the significance value > 0.05 then Ho
is accepted and Ha is rejected, meaning that there is no relationship between zoom fatigue
with task level commitment to level I students of the Faculty of Nursing, Padjadjaran
University.
In Table 3 scale variable category zoom fatigue experienced by level I students of
the Faculty of Nursing, Universitas Padjadjaran as respondents experienced zoom quite
high fatigue . This can be seen from the large number of respondents who experience
zoom fatigue with 122 respondents experiencing zoom moderate category fatigue and as
many as 31 respondents experienced zoom high category fatigue . Zoom height fatigue
experienced by students will have an impact on the quality of academic skills (Bullock,
Colvin, & Jackson, 2021). This statement is supported by Malik (2020) who says that
when someone experiences zoom Fatigue can trigger changes in concentration related to
the activities being carried out, as a result, the possibility of a decrease in academic skills
from student competencies can occur. Cause of zoom fatigue according to R. Nadler
(2020) ; ( Wiederhold , 2020) argues that zoom fatigue can be caused by the complex
Iyus Yosep, Dimas Wibawa Sakti, Furkon Nurhakim
Task Level Decrease Commitment Due to Zoom Fatigue in Nursing Faculty, Padjadjaran
University 1.333
dynamics that occur in video conferencing in an effort to increase cognitive when
interacting with other people. In addition, Bailenson in (Geraldine et al., 2021) also
argues that there are four possible causes of zoom fatigue nonverbally.
The first is the amount of eye contact that is too long with high intensity that
occurs as a result of having everyone turn on the camera, so that during video conference
activities there is direct gaze regardless of who is the speaker or listener at the video
conference. Therefore, prolonged stares during video conferencing can lead to
physiological problems of arousal and anxiety (Gruber et al., 2021). The second is the
limited mobility that occurs when doing video conferencing activities with a long
duration can cause a sense of soreness due to staying in one position for a long time.
Oppezzo (2014) also argues that someone who has limited mobility can damage an
individual's cognitive performance.
The third is mirror anxiety, which is a feeling of anxiety or restlessness
experienced by someone when doing a video conference because the level of attention is
focused on oneself for a long time. Gonzales (2011) and Ingram, et al. (1988) in Fauville,
et al. (2021) also say that exposure to digital and physical mirrors can affect a person's
level of attention. In addition, Fejfar., (2000 in Fauville, et al. 2021) also argues that
mirror anxiety can also lead to more severe negative effects such as depression.
Fourth is the increasing cognitive load when conducting video conferences that arise as a
result of having to take verbal or non-verbal cues as a sign that someone is participating
in the conference as quoted from Hinds., (1999, in Fauville et al., 2021) which states that
The increase in cognitive load during video conferencing is caused by having to take non-
verbal cues as a sign of contributing to conference activities, such as moving the head
excessively in order to be seen on the screen, which can cause cognitive load to increase
during video conferencing.
The number of negative impacts that arise due to zoom fatigue experienced by
students, it is necessary to prevent or reduce the occurrence of zoom fatigue (Nadler,
2020) . According to Dikti (2021) there are several ways that can be done to reduce Zoom
fatigue , including ; avoid multitasking , take breaks to wake up and rest, reduce screen
stimulation, do time management during video conferences , and use speakers views.
Next In Table 3 scale variable category task level commitment owned by level I
students of the Faculty of Nursing, Universitas Padjadjaran as respondents have a task
level commitment which is quite low. This can be seen from the large number of
respondents who have task levels low commitment as many as 52 respondents and as
many as 86 respondents have a task level medium category commitment . Low task level
commitment possessed by students will certainly greatly affect the quality and skills
possessed by students.
This statement is supported by Urhahne (2011) who argues that task commitment
Self-motivation is the motivation that arises within oneself that is able to encourage
someone to be able to bring out their potential. Then, Dirwan (2014) also argues that
individuals who are committed in their efforts to complete the tasks that are their
responsibility, this illustrates that the individual is able to do the task of his own will.
Therefore, low interest in completing a task that is being worked on can be the starting
gate of the gap between the potential possessed and the achievements that appear.
According to (Osabiya, 2015), he argues that there are two factors that affect the task
level one's commitment , namely; Intrinsic factors which consist of the interest that a
person has in an activity will certainly affect what he does. If someone has a high interest
in a field, then that person will do it with enthusiasm and maximum. Vice versa if
someone does not have an interest in a field he is working on, then the results obtained
will not be optimal (Erickson, Korfiatis, Akkus, & Kline, 2017).
Eduvest Journal of Universal Studies
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Furthermore, ideals also greatly affect the level of the task commitment. A person
can do a job or activity seriously, if the activity is closely related to the ideals to be
pursued. Unlike the case with activities that have nothing to do with ideals, a person in
doing or undergoing these activities tends to be modest so that the results obtained are not
optimal (Andrews & Withey, 2012). Finally, the condition of students also greatly affects
the level of the task commitment , because the higher the fatigue possessed by the
student, the higher the feeling of laziness in the many activities undertaken by the student,
the student's desire to do a task will tend to decrease and of course it will interfere with
the task level . commitment of the student.
The second is extrinsic factors including the anxiety experienced by students if
they do not do a task they will be punished. It can increase task level commitment even
though in its application there are negative impacts such as anxiety (Ashford & DeRue,
2012). Then students who can do assignments optimally and on time tend to get awards
and praise from peers or from teaching lecturers as a form of appreciation for their efforts
to do assignments to the maximum (Norman & Spencer, 2005). On the other hand, the
participation of parents is also fair in the effort to increase the level of the task
commitment , because if parents care about their child's development in the academic
field, then of course it will provide encouragement and motivation so that their child can
complete his lecture assignments on time and the results obtained are maximized.
Furthermore, the role of educators also has an influence on the emergence of level tasks
one's commitment (Claudia, 2018) .
This happens because when educators give too much with a time duration that is
too close together, it will certainly be a new problem (Hattie, 2003). However, on the
other hand, educators are also in a dilemma with the curriculum goals that must be
achieved. Finally, there are environmental conditions that can affect the task level
commitment , because when the environment does not support doing a task or activity,
then interest in completing the task or activity will be delayed so that it can lower the task
level . individual commitment .
According to Renzulli in Sholihah (2017) argues that there are characteristics in
individuals who have a task level commitment high, namely: having a high desire to
explore a field that is occupied, a sense of enthusiasm, involvement and high curiosity
about a field that is being occupied, having high perseverance described by the ability to
work hard with a relatively long duration of time in an effort to complete a task, has a
nature that does not easily give up in doing a task, has high confidence in completing a
task on time, a high ability to excel independently, critical high thinking on a problem,
responding to a topic with the ability that is being occupied, providing high work
standards, doing self- introspection and being open to criticism submitted by others,
doing a job with full responsibility and done as much as possible in accordance with the
abilities owned.
Finally tested the relationship between zoom fatigue with task level commitment
at the level I students of the Faculty of Nursing, Padjadjaran University . Prior to
statistical analysis of correlation using rank Spearman first, the researchers tested the
prerequisites, namely by using the normality test to find out whether the data obtained
were normally distributed normality test show that the significance value for zoom
fatigue of 0.004 < 0.05 while the significance value for the task level scale commitment
of 0.000 < 0.05. Based on the significance value , both are less than 0.05 so it can be said
that the data obtained by the researcher is not normally distributed .
The results of the correlation analysis test in Table 5 show that the significance
value is 0.119 > 0.05, which means the null hypothesis (Ho) is accepted and the
alternative hypothesis (Ha) is rejected. This means that there is no relationship between
Iyus Yosep, Dimas Wibawa Sakti, Furkon Nurhakim
Task Level Decrease Commitment Due to Zoom Fatigue in Nursing Faculty, Padjadjaran
University 1.335
zoom fatigue with task level commitment . The absence of a relationship in this study was
caused by several factors, one of which was obstacles when conducting research. When
doing research along with semester breaks, so students can release the fatigue
experienced during lectures and already know the results of doing lectures during the first
semester. The research instrument used a closed questionnaire.
Questionnaire used to measure zoom fatigue consists of 5 alternative answers and
a questionnaire used to measure the level of the task commitment consists of 4 alternative
answers. The level of honesty of the respondents, namely students, became a weakness in
data collection because this research was conducted online so that researchers could not
see whether the respondents filled in seriously or not.
Then several other factors that influence according to Rida (2018) , namely the
existence of punishment. It can increase task level commitment even though in its
application there are negative impacts such as anxiety. Then students who can do
assignments optimally and on time tend to get awards and praise from colleagues or from
teaching lecturers as a form of appreciation for their efforts to do assignments to the
maximum so that students continue to carry out their duties even though they are in a
state of exhaustion. Based on the research that has been done, it can be said that zoom
fatigue is not one of the absolute factors that affect the level of the task commitment to
level I students of the Faculty of Nursing, Padjadjaran University .
CONCLUSION
Spearman correlation technique, it was found that the values of sig 0.119 > 0.05
which means the null hypothesis (Ho) is accepted and the alternative hypothesis (Ha) is
rejected so it can be concluded that there is no significant relationship between zoom
fatigue with task levels commitment to level I students of the Faculty of Nursing,
Padjadjaran University. Zoom fatigue as an independent variable is said to have not been
able to affect the task level commitment as the dependent variable, perhaps due to other
variables not examined by the researcher.
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