Comparison Analysis of Depression, Anxiety, and Stress Levels in
Students in Business Management Department and Information
Engineering Department of Batam State Polytechnic on Online
Learning in the Covid-19 Pandemic
Sri Dona Oktavia and Dian Mulyaningtyas
Business Management, Politeknik Negeri Batam, Ahmad Yani, Batam, Indonesia
Keywords: Depression, Anxiety, Stress, Major, Online Learning.
Abstract: This study examines the Comparative Analysis of Depression, Anxiety, and Stress Levels for Students of the
Department of Business Management and Department of Informatics Engineering at the Batam State
Polytechnic Against Online Learning During the COVID-19 Pandemic. The population in this study were
students of the Department of Business Management and the Department of Informatics Engineering. The
respondents in this study were students of the Department of Business Management and the Department of
Informatics Engineering from 2018 to 2020, with a total sample of 188 students. The sampling technique here
uses the Random Sampling method. In this study, the data is collected through questionnaires given directly
to respondents online. This study uses a quantitative approach with descriptive statistical analysis methods
and a Chi-Square test. The results of this study are students of the Department of Business Management have
higher levels of depression, anxiety, and stress compared to students of the Department of Informatics. There
is no significant effect between students' depression, anxiety, and stress level in online learning towards
majors.
1 INTRODUCTION
The spread of the COVID-19 virus has caused a lot of
concern, especially in the education sector. In
education, the teaching and learning process is carried
out face-to-face, which can trigger the spread of the
COVID-19 virus. To prevent this from happening, the
Ministry of Education and Culture issued a Circular
Letter of the Ministry of Education and Culture
Number 4 of 2020 concerning "Implementation of
Education Policies in the Emergency Period of the
Spread of Corona Virus Disease (COVID-19), which
requires learning from home through online learning
(Kemendikbud 2020).
Online learning (on the network) is applied to start
from the elementary school level to the tertiary level
for an undetermined time limit. Most universities in
Indonesia have used Blended Learning, including the
Batam State Polytechnic. Blended Learning itself is
learning that combines direct (face-to-face) learning
with online learning. However, due to this pandemic,
face-to-face learning is impossible and can only use
online learning. Many applications currently support
online learning, such as Whatsapp, Zoom, Google
Classroom, Google Duo, and other applications.
Online learning is the right solution during this
pandemic, and this policy was implemented by the
government starting in March 2020. Using this online
learning system, students will face many obstacles,
such as limited ownership of electronic devices
(computers, laptops, smartphones), internet access,
teaching new methods, the ineffectiveness of
practicum lessons, and inconsistent study time
choices.
On the other hand, students who finished online
lectures complained that they felt the task had become
more complicated than face-to-face learning as usual.
Even though there are many assignments in many
courses that must be completed, the deadline for
completing the projects given is relatively short.
Students think that the tasks assigned are too heavy
for them, and they are worried that it will cause
psychological problems, which in turn affect their
immunity. Therefore, if this situation continues to
occur without any countermeasures, it will cause
physical and mental pressure on students. Then many
Oktavia, S. and Mulyaningtyas, D.
Comparison Analysis of Depression, Anxiety, and Stress Levels in Students in Business Management Department and Information Engineering Department of Batam State Polytechnic on
Online Learning in the Covid-19 Pandemic.
DOI: 10.5220/0011518900003255
In Proceedings of the 3rd International Conference on Applied Economics and Social Science (ICAESS 2021), pages 481-488
ISBN: 978-989-758-605-7
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
481
of them complain about online learning on social
networks such as Instagram, Twitter, Facebook,
Tiktok, and other social media.
2 LITERATURE REVIEW
2.1 Depression
Depression is a severe mental illness, usually
characterized by feelings of sadness or anxiety. Most
students sometimes feel sad or anxious. Untreated
depression can interfere with daily activities. As a
reaction to depression, some students feel depressed.
Students may cry all the time, not go to class or lock
themselves up, not realizing that they are under
pressure. Depression can affect academic
performance. Students face many academic burdens,
such as doing assignments, answering questions in
class, understanding material, competing with
classmates, and meeting teacher and parent
expectations, all of which lead to learning pressure
(Kamble, 2018).
2.2 Anxiety
Anxiety is a word we use to describe restlessness,
worry, and fear. It involves emotional and physical
feelings that we may face when we are worried or
nervous about something. So all forms of situations
that can threaten human comfort can cause anxiety.
The existence of conflict is one source of the
emergence of anxiety. Because individuals cannot
deal with problems, physical threats and stress can
also cause anxiety (NIMH, 2018).
2.3 Stress
Simply, stress can be defined as a state of a person
whose balance is disturbed. Stress is manifested by
various symptoms, such as restlessness, increased
tension and anxiety, body aches (headache, heartburn,
itching, and diarrhea), fatigue, muscle tension, sleep
disturbances, or increased blood pressure and heart
rhythm. Stress also manifests itself in behavioral
changes. Individuals become irritable, more irritable,
do not eat, or show changes in eating patterns. Some
people feel depressed, helpless, lethargic, and have
low self-esteem (Aryahi, 2016). Oktawirawan's
research (2020) mentions the factors that cause
anxiety about online learning. In this study, nine
factors that cause stress in students, including:
1. Inadequate understanding of the material
2. Task deadlines
3. Internet is not stable
4. Difficulty in doing tasks
5. Difficult to buy internet quota
6. Technical constraints
7. Impairment
8. Late for class
9. Not ready to face the next level
Lack of understanding and short task deadlines
are the main factors of this study, which cause
students' anxiety about online learning. The current
government is very much overcoming the difficulty
of purchasing internet quotas through education quota
assistance funds and collaboration with local
universities.
In addition, the research of Hasanah et al. (2020)
shows that seven factors cause student stress during
the pandemic as below:
1. Studying Assignments
2. Bored at home
3. Can't meet loved ones
4. The online learning process becomes boring
5. Due to a lack of tools, laboratory practice
learning is not possible
6. Unable to participate in online education due to
limited internet quota
7. I can't do hobbies like usual
From the explanation above, there are four factors
related to online learning, namely college
assignments, tedious online learning processes,
unable to participate in online education due to quota
limitations, and unable to do laboratory practice
because of unavailable tools.
2.4 Online Learning
Online learning is not a face-to-face learning system
but a platform or learning method that can help
students and lecturers in the teaching and learning
process at a distance. Online learning is a learning
activity that uses the internet to help users improve
accessibility, connectivity, flexibility, and generate
various learning interactions.
Here are some applications that can use for online
learning are as follows:
1. Learning Management System
Learning Management System (LMS) is one or
more software used for management purposes,
documents, activity reports, teaching and
learning activities and online activities
(connected to the internet), E-learning, and
training materials, all of which are done online.
(Gusty et al., 2020). Here are some LMS
ICAESS 2021 - The International Conference on Applied Economics and Social Science
482
licensed open source and very often used in
learning activities during COVID-19 are as
follows:
E-learning
Google Classroom
Moodle
Schoology
Edmodo
Kahoot
Video Conference
2. Video conferencing is a multimedia application
that, due to its large bandwidth capacity, allows
actual and time duplex data, voice, and image
communications to be applied to networks with
high data transfer rates (Gusty et al., 2020). Here
are some video conferencing applications that
are used to support online learning, namely:
Google Meet
Zoom Meeting
Cisco Webex
Whatsapp
3 RESEARCH METHOD
3.1 Population and Sample
The population in this study were students of Batam
State Polytechnic, Department of Business
Management and Informatics Engineering. The
sample used in the study were active students from
the Department of Business Management and the
Department of Informatics Engineering for the
academic year 2018 to 2020, with a total of 188
students, each consisting of 94 students.
3.2 Method
The research method used is a quantitative research
method with descriptive statistical analysis. In
presenting the data will display tables, graphs, pie
charts, mean and percentage calculations, and the chi-
square test to analyze the level of comparison of
depression, anxiety, and stress in students of the
Department of Education. Batam State Polytechnic's
Business Management and Informatics Engineering
towards online learning. After the data is processed,
an analysis is carried out to conclude the existing
problems.
4 RESULT
4.1 Validity Test
Validity is the degree of accuracy between the data
that occurs in the object of research (Sugiyono, 2013).
This validity test uses the Pearson correlation analysis
method, namely correlating the item score with the
total score. Then the significance test was carried out
with the criteria using the r table at a significance
level of 0.01 with a 2-sided test. If the positive value
of r count r table, then the item can be declared valid.
The validity test in this study can be seen in the
following table.
Table 1: Recapitulation of Validity Test Results for
Depression, Anxiety and Stress Variables.
Item r count r table Decision
X1.1 0,629
0,263
Valid
X1.2 0,710 Valid
X1.3 0,777 Valid
X1.4 0,669 Valid
X1.5 0,766 Valid
X1.6 0,796 Valid
X1.7 0,808 Valid
X1.8 0,694 Valid
X1.9 0,869 Valid
X1.10 0,696 Valid
X1.11 0,775 Valid
X1.12 0,806 Valid
X1.13 0,805 Valid
X1.14 0,634 Valid
X2.1 0,429
0,263
Valid
X2.2 0,656 Valid
X2.3 0,613 Valid
X2.4 0,604 Valid
X2.5 0,675 Valid
X2.6 0,577 Valid
X2.7 0,726 Valid
X2.8 0,539 Valid
X2.9 0,651 Valid
X2.10 0,750 Valid
X2.11 0,649 Valid
X2.12 0,729 Valid
X2.13 0,660 Valid
X2.14 0,659 Valid
X3.1 0,527 Valid
Comparison Analysis of Depression, Anxiety, and Stress Levels in Students in Business Management Department and Information
Engineering Department of Batam State Polytechnic on Online Learning in the Covid-19 Pandemic
483
X3.2 0,669
0,263
Valid
X3.3 0,564 Valid
X3.4 0,618 Valid
X3.5 0,681 Valid
X3.6 0,523 Valid
X3.7 0,533 Valid
X3.8 0,536 Valid
X3.9 0,596 Valid
X3.10 0,618 Valid
X3.11 0,650 Valid
X3.12 0,529 Valid
X3.13 0,738 Valid
X3.14 0,850 Valid
(Source: Results of SPSS 25 Output Data Processing, 2021)
4.2 Reliability Test
How reliable or consistent is the indicator variable is
measured by a reliability test (Ghozali, 2012). The
value of the reliability of the indicator/item of the
questionnaire statement received can be searched
using the Cronbach Alpha formula. The alpha method
is appropriate for use on a scale (Ndica 1-4, 1-5) or a
range score (Ndica 0-20, 0-50). Reliability (reliable)
if the indicator/questionnaire item has a Cronbach
Alpha value > 0.60 (Ghozali, 2012). The results of the
reliability test for each variable used in this study can
be seen in the following table:
Table 2: Recapitulation of Reliability Test Results for
Depression, Anxiety and Stress Variables.
Variable
Alpha
Cronbach
Standard
Value
Decision
Depression
(
X1
)
0.939 0,60 Reliable
Anxiety (X2) 0,886 0,60 Reliable
Stress (X3) 0,776 0,60 Reliable
(Source: Results of SPSS 25 Output Data Processing,
2021)
4.3 Descriptive Statistics
Descriptive statistical analysis provides an overview
of the situation and circumstances carried out by
classifying the total number of respondents' scores.
From the total score of respondents' answers
obtained, the assessment criteria are arranged for each
statement item. Based on the results of research
conducted on 188 respondents.
Table 3: Depression, Anxiety, Stress Scale.
Then the results of the data obtained will be grouped
and compared according to the DASS Test 42
questionnaire assessment score (Lovibond and
Lovibond 1995). The results of the value can be seen
in the following table:
Table 4: Final Result of Depression Score on Student
Respondents majoring in Business Management and
Information Technology.
Table 5: Final Result of Anxiety Score on Student
Respondents majoring in Business Management and
Information Technology.
From the results of descriptive statistics, this study
shows that students of the Department of Business
Management have higher levels of depression,
anxiety, and stress than students of the Department of
Informatics, Batam State Polytechnic, towards online
learning.
Normal Mild
Moder
ate
Severe
Very
Severe
Depression 0-9 10-13 14-20 21-27 >28
Anxiety 0-7 8-9 10-14 15-19 >20
Stress 0-14 15-18 19-25 26-33 >34
Category
Business
Mana
g
ement
Information
Technolo
gy
f % F %
Normal 31 33% 41 44%
Mild 18 19% 18 19%
Moderate 22 23% 12 13%
Severe 10 11% 10 11%
Very Severe 13 14% 13 14%
TOTAL 94 100% 94 100%
Category
Business
Mana
g
ement
Information
Technolo
gy
f % F %
Normal
16 17% 18 19%
Mild
4 4% 11 12%
Moderate
13 14% 20 21%
Severe
24 26% 19 20%
Very Severe
37 39% 26 28%
TOTAL
94 100% 94 100%
ICAESS 2021 - The International Conference on Applied Economics and Social Science
484
Table 6: Final Result of Stress Score on Student
Respondents majoring in Business Management and
Information Technology.
(Source: Microsoft Excel Data Processing Results, 2021)
4.4 Chi-Square Test
The chi-square test (Chi-Square) tests the two-sample
comparative hypothesis if the data is nominal and the
sample is large. If the calculated Chi-Square value <
Chi-Square table, then we fail to reject H0. The test
results can be observed in the following table:
Table 7: Results of Chi Square Test Analysis Effect of
Depression Level with Majors.
Category
Major
d
Calcul
ated
Chi
square
Chi
square
Table
Business
Managemen
t (%)
Information
Technology
(%)
Normal 31 (36%) 41 (43,6%)
4 4.330
a
13,277
Mil
d
18 (19,1%) 18 (19,1%)
Moderate 22 (23,4%) 12 (12,8%)
Severe 10 (10,6%) 10 (10,6%)
Very
Severe
13 (13,8%) 13 (13,8%)
Total 94 (100%) 94 (100%)
Table 8: Results of Chi Square Test Analysis Effect of
Anxiety Level with Majors.
Category
Major
d
Calculated
Chi
square
Chi
square
Table
Business
Management
(%)
Information
Technology
(%)
Normal 16 (17%) 18 (19,1%)
4 7.371
a
13,277
Mild 4 (4,3%) 11 (11,7%)
Moderate 13 (13,8%) 20 (21,3%)
Severe 24 (25,5%) 19 (20,2%)
Very Severe 37 (39,4%) 26 (27,7%)
TOTAL 94 (100%) 94 (100%)
Table 9: Results of Chi Square Test Analysis Effect of
Stress Level with Majors.
Category
Major
d
Calculated
Chi
square
Chi
square
Table
Business
Management
(%)
Information
Technology
(%)
Normal 25 (27,2%) 38 (40,4%)
4 7.258
a
13,277 Mild 17 (18,5%) 19 (20,3%)
Moderate 20 (21,7%) 21 (22,3%)
Severe 19 (20,7%) 9 (9,6%)
Very
Severe
11 (12%) 7 (9,1%)
TOTAL 94 (100%) 94 (100%)
(Source: Results of SPSS 25 Output Data Processing, 2021)
From the chi-square test results, this study shows that
there is no significant effect between the level of
depression, anxiety, and stress of students in online
learning towards majors.
4.5 Discussion
4.5.1 Comparative Analysis of Depression
Levels in Students of the Department
of Business Management and
Informatics Engineering
Based on the results of the research with the chi
square test, the results of the chi square count were
4,330 while the chi square table was 13,27670 so that
the chi square count < chi square table. This means
that the department has no effect on the depression
level of the students of the Department of Business
Management and the Department of Informatics
Engineering. So in this study the level of depression
of students in online learning is not influenced by
majors.
Based on the results of the interpretation of the
level of depression in the students of the Department
of Business Management and Informatics using the
DASS Test score of 42, it was found that the level of
depression was very severe in both majors of 14%.
While the level of severe depression is 11%, moderate
depression is 23% in Business Management
Department students and 13% in Informatics
Engineering Department, mild depression is 19% and
normal levels are 33% for Business Management
students and 44% for students. Informatics
Engineering. This means that the level of depression
in Business Management students is greater than the
depression level in Informatics Engineering students.
Based on the respondents' answers to the
depression variable, it shows that the fourth
statement, namely students feel sad and depressed,
has a variable mean of 1.67 in the Department of
Business Management and 1.28 in the Department of
Informatics, which is the item that most dominates or
influences the level of student depression. This
response shows that students of the Department of
Business Management feel sadder and depressed than
students of the Department of Informatics. This is in
accordance with the opinion expressed by Kamble
(2018) which states that students who are depressed
Category
Business
Management
Information
Technology
f % f %
Normal 29 31% 42 45%
Mild 16 17% 18 19%
Moderate 22 23% 23 24%
Severe 18 19% 9 10%
Very Severe 9 10% 2 2%
TOTAL 29 31% 42 45%
Comparison Analysis of Depression, Anxiety, and Stress Levels in Students in Business Management Department and Information
Engineering Department of Batam State Polytechnic on Online Learning in the Covid-19 Pandemic
485
and untreated can interfere with daily activities and
cause various reactions, one of which is that some
students feel depressed.
The results of this study are in line with the
research conducted by Asanov et al. (2021) and
Hasanah et al. (2020), based on the results of the study
it was found that most students were depressed. These
results are in accordance with current research which
states that most of the students of the Department of
Business Management and the Department of
Informatics are depressed.
4.5.2 Comparative Analysis of Anxiety
Levels in Students of the Department
of Business Management and
Informatics Engineering
Based on the results of the research with the chi
square test, the results of the chi square count were
7.371 while the chi square table was 13,27670 so that
the chi square count < chi square table. This means
that the department has no effect on the anxiety level
of the students of the Department of Business
Management and the Department of Informatics
Engineering. so in this study the level of student
anxiety in online learning is not influenced by majors.
Based on the results of the interpretation of the
anxiety level of the students of the Department of
Business Management and Informatics using the
DASS Test score of 42, it was found that the students
of the Department of Business Management and the
students of the Department of Informatics had very
severe anxiety levels, namely 39% and 28%,
respectively. While the level of severe anxiety is 26%
in the Business Management Department and 20% in
the Informatics Engineering Department, the
moderate anxiety level is 14% in the Business
Management Department students and 21% in the
Informatics Engineering Department, the mild
anxiety level is 4% in the Business Management
Department students. and 12% in the Department of
Informatics Engineering, and normal anxiety levels in
both majors were 17% and 19%. This means that the
level of anxiety in Business Management students is
greater than the anxiety level of Informatics
Engineering students.
Based on the respondents' answers to the anxiety
variable, it shows that the fourth statement, namely
that if he was in a situation that made him feel very
anxious and would feel very relieved when all this
ended, has a variable mean of 2.20 in the Department
of Business Management and 1.87 in the Department
of Informatics, which is the item that most dominates
or influences the level of depression in students. This
response shows that students of the Department of
Business Management feel themselves in a situation
that makes them feel very anxious and will feel very
relieved if all of this end compared to students of the
Department of Informatics. This is in accordance with
the opinion expressed by NIMH (2018) which states
that all forms of situations that can threaten human
comfort can cause anxiety.
The results of this study are in line with research
conducted by NurCita & Susantiningsih (2020) and
Hasanah et al. (2020), based on the results of the study
it was found that most students experienced anxiety.
These results are in accordance with current research
which states that most students from the Department
of Business Management and the Department of
Informatics experience anxiety.
4.5.3 Comparative Analysis of Stress Levels
in Students of the Department of
Business Management and Informatics
Engineering
Based on the results of the research with the chi
square test, the results of the chi square count were
7.285 while the chi square table was 13,27670 so that
the chi square count < chi square table. This means
that the department has no effect on the stress level of
the students of the Department of Business
Management and the Department of Informatics
Engineering. So that in this study the stress level of
students in online learning is not influenced by
majors.
Based on the results of the interpretation of stress
levels on students of the Department of Business
Management and Informatics using the DASS Test
score of 42, it was found that students of the
Department of Business Management and students of
the Department of Informatics had very severe
depression rates, namely 10% and 2%. Meanwhile,
the level of severe stress was 19% for the students of
the Department of Business Management and 10%
for the Department of Informatics, the level of
moderate stress was 23% for the students of the
Department of Business Management and 24% for
the students of the Department of Informatics, the
level of mild anxiety was 17% for the students of the
Department of Business Management. and 19% in the
Department of Informatics Engineering, and normal
anxiety levels in both majors were 29% and 31%,
respectively. This means that the level of stress in
Business Management students is greater than the
anxiety level of Informatics Engineering students.
Based on the respondents' answers to the stress
variable, it shows that the fourth statement, namely
ICAESS 2021 - The International Conference on Applied Economics and Social Science
486
easy to get annoyed, has a variable mean of 1.82 in
the Department of Business Management and 1.53 in
the Department of Informatics Engineering, which is
the item that most dominates or influences the level
of student depression the most. This response
indicates that students of the Department of Business
Management find themselves irritated more easily
than students of the Department of Informatics. This
is in accordance with the opinion expressed by Aryahi
(2016) which states that stress also manifests itself in
behavior change. That is, the individual becomes
irritable, does not eat or shows changes in eating
patterns.
The results of this study are in line with research
conducted by Maulana & Iswari (2020), Harahap et
al. (2020), AlAteeq et al. (2020), Hasanah et al.
(2020), and Mardiati et al. (2018). Based on the
results of the study, it was found that most of the
students experienced stress. These results are in
accordance with current research which states that
most students from the Department of Business
Management and the Department of Informatics
experience stress.
4.5.4 Comparative Analysis of Depression,
Anxiety and Stress Variables in
Business Management and Informatics
Engineering Students
To see the level of comparison of depression
variables, anxiety variables and stress variables, a
combination of mild, moderate, severe, and very
severe categories will be carried out where the four
categories state that students majoring in Business
Management and Department of Informatics
experience depression, anxiety and stress. The result
of the value can be seen in Figure 4.13 below:
Figure 1. Overall Percentage of Variables.
Based on Figure 4.13 above, it can be seen that the
variable with the Normal category which has the
lowest percentage is found in the anxiety variable at
17% and 19%, while the Mild-Very Severe category
(experiencing depression, anxiety, stress) is the
highest in the anxiety variable at 83% and 81%. so it
can be concluded that the anxiety variable is the
variable with the highest percentage level, which
means that students of the Department of Business
Management and the Department of Informatics
experience more anxiety than depression and stress.
5 CONCLUSIONS
Based on the data analysis that the researcher has
done on all the data obtained, the researcher can draw
the following conclusions:
1. This study indicates that the assessment of the
level of depression in students of the Batam State
Polytechnic Business Management Department
towards online learning is normal for 31 (33%)
students and 63 (67%) other students are
depressed.
2. This study indicates that the assessment of the
level of anxiety in Batam State Polytechnic
Business Management Department students
towards online learning is normal for 16 (17%)
students and 78 (83%) other students who
experience anxiety.
3. This study shows that the assessment of stress
levels for students of the Batam State Polytechnic
Business Management Department towards
online learning is normal for 29 (31%) students
and 65 (69%) students who experience stress.
4. This study indicates that the assessment of the
level of depression in students of the Batam State
Polytechnic Informatics Engineering Department
towards online learning is normal for 41 (44%)
students and 53 (56%) other students are
depressed.
5. This study indicates that the assessment of the
level of anxiety in students of the Batam State
Polytechnic Informatics Engineering Department
towards online learning is normal for 18 (19%)
students and 76 (81%) other students who
experience anxiety.
6. This study indicates that the assessment of stress
levels for students of the Batam State Polytechnic
Informatics Engineering Department towards
online learning is normal for 42 (45%) students
and 52 (55%) other students who experience
stress.
7. From the results of descriptive statistics, this study
shows that students of the Department of Business
Management have higher levels of depression,
Comparison Analysis of Depression, Anxiety, and Stress Levels in Students in Business Management Department and Information
Engineering Department of Batam State Polytechnic on Online Learning in the Covid-19 Pandemic
487
anxiety, and stress than students of the
Department of Informatics, Batam State
Polytechnic, towards online learning.
8. From the Inferential Statistical Test results using
the Chi-Square test, this study shows that there is
no significant effect between the level of
depression, anxiety, and stress of students in
online learning towards majors.
ACKNOWLEDGEMENTS
Acknowledgments are addressed to all lecturers of the
business administration study program and all Batam
State Polytechnic Business Management Department
staff.
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