Internet
Addiction and Sleep Quality in Students of SMA Negeri (Public Senior High
School) 9 Manado
Juan Gabriel Claudio Sinadia1*, Dewita Karema Sarajar2
Universitas Kristen Satya Wacana, Salatiga,
Central Java, Indonesia1,2
E-mail: [email protected]1*,
[email protected]2
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ABSTRACT |
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Internet Addiction, Sleep Quality, High School
Students. |
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Sleep is vital
for cell regeneration and repair in the human body. Adequate sleep, typically
7-8 hours per day, is crucial for adolescents, as its deficiency can impact
various aspects of their lives including physical health, academic
performance, school activities, and concentration. However, numerous factors,
such as internet addiction, can disrupt sleep quality. Internet addiction,
characterized by excessive and uncontrollable internet usage, is particularly
prevalent among adolescents and has been linked to sleep disturbances. This
study aimed to investigate the relationship between internet addiction and
sleep quality among students at SMA N 9 Manado (Public Senior High School).
Employing quantitative research methods and correlation analysis, data were
collected from 110 active students at SMA N 9 Manado using quota sampling
techniques. The Internet Addiction Test (IAT) and the Pittsburgh Sleep
Quality Index (PSQI) were utilized as measurement scales. Statistical
analyses including the Kolmogorov-Smirnov test, one-way ANOVA test, and
Pearson's Product-Moment correlation coefficient were performed. The findings
revealed a significant positive correlation (r = 0.533, p < 0.05) between
internet addiction and sleep quality among students at SMA N 9 Manado,
indicating that higher levels of internet addiction were associated with
poorer sleep quality. This underscores the need for interventions aimed at
reducing internet addiction among students, with an emphasis on fostering
self-awareness regarding internet usage behaviors.
Such interventions hold promise for improving the sleep quality and overall
well-being of adolescents. |
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Sleep
is a process needed by the human body to form new cells and repair damaged
cells (Natural Healing Mechanism). The time used for sleep by humans can be
about a quarter to one-third of the time in one day
According to Aymerich
Normal
sleep patterns in adolescence are around 7-8 hours/day
One of
the activities of adolescent students is studying at school. According to Yuniarsih
According
to Niemi
Based
on the results of a World Health Organization survey (WHO, 2018) 81% of
adolescents' sleep quality is poor. Researchers conducted interviews to map the
phenomenon of sleep quality and internet addiction; researchers interviewed 3
high school students in February 2023. Researchers have found that sleep
quality in high school students is poor. They often sleep late at night, around
two to three o'clock in the morning, because they access the internet and must
wake up at seven in the morning to carry out their responsibilities as
students, namely school. They often play on mobile phones, laptops, and even
computers, and most of them access social media, online games, and TikTok
applications, this they have done for quite a long time, about 6 to 10 hours a
day in the last few months and make their sleep quality not good or they sleep
only three to four hours, whereas they should sleep for seven to eight hours
per day. Researchers also get information when they are studying at school,
they are often sleepy and not focused on doing learning at school.�
Through
mapping the phenomenon that researchers conducted on students of SMA Negeri 9
Manado regarding the phenomenon of internet addiction and sleep quality, the
results of 16 respondents, namely SMA Negeri 9 Manado students who actively use
mobile phones in accessing the internet such as opening social media and
playing online games with an average use of mobile phones for 15-20 hours a day
obtained 68.8%. While the average use of 5-10 hours of mobile phone use a day
gets results of 31.3%. The results obtained by researchers, seen in the average
use of mobile phones for 15-20 hours a day are higher, so these results are in
line with those described by Ching
Research
conducted by Lombogia
Research
conducted by Lombogia,
According to Buysse et al.
Sleep quality has both positive and negative impacts. The
body can receive a positive impact when the sleep duration is met. All the body's
vital functions will be reduced, activity at the metabolic rate will be
lowered, body cells can be repaired, and energy can be restored throughout the
sleep process. Not only that, but the brain can also integrate new knowledge
and form new associations when a person sleeps; this makes the mind will be
fresher
According to Utami & Anggorowati,
The
rapid development of technology and data and the emergence of progress can
facilitate people's lives. The development of technology and data in modern
times has become a common problem due to the revolution that affects the method
of relating to each human being. The interaction change resulting from the
social interaction revolution can be tried directly. Still, it can also be
tried indirectly through electronic communication media such as the internet
Research conducted by Thomas
The purpose of this study is to investigate the
relationship between internet addiction and sleep quality among high school
students, particularly focusing on students of SMA Negeri 9 Manado. This
research is prompted by the prevalent phenomenon of teenagers engaging in
late-night internet activities, such as gaming and social media browsing, at
the expense of adequate sleep. Prior studies have yielded conflicting findings
regarding the association between internet addiction and sleep quality,
necessitating further examination, especially within the context of high school
adolescents. Therefore, the study aims to clarify the impact of internet addiction
on sleep quality among this demographic, shedding light on the potential
consequences of excessive internet usage on their well-being and academic
performance.
�
This
quantitative study uses correlation analysis to investigate the relationship
between internet addiction and sleep quality in students of SMA Negeri 9
Manado. The independent variable in this study was internet addiction (X),
while the dependent variable was sleep quality (Y). The population that is the
focus of the study is students of SMA Negeri 9 Manado. The sampling technique
used is non-probability with quota sampling technique, where samples are taken
from the population of SMA Negeri 9 Manado students who meet the age criteria
of 14-18 years. The identified population was 2,130 students, and the sample
taken amounted to 241 students, with an error rate of 10%.
Data
in this study were collected using a psychological measurement scale in the
form of a questionnaire or Likert scale. Two measuring tools were used: (1) the
Internet Addiction Test (IAT), which measures internet addiction with 20
question items, and (2) the Pittsburgh Sleep Quality Index (PSQI), which
measures sleep quality with 19 question items. Both scales have passed validity
and reliability tests, with results demonstrating the feasibility of their use.
Testing
of measuring instruments is carried out to ensure the reliability and validity
of each scale. The internet addiction scale (IAT) obtained an Alpha Cronbach
reliability of 0.965. In contrast, the sleep quality scale (PSQI) resulted in
an Alpha Cronbach reliability of 0.920 on the first round and 0.943 on the
second round after several items were retested. After data collection, the
analysis is carried out using statistical methods. The data will be tested for
normality and linearity using the Kolmogorov-Smirnov test and one-way ANOVA.
Next, correlation analysis used Pearson Product Moment to determine the
relationship between internet addiction and sleep quality. Data analysis will
be performed with the help of IBM SPSS Statistics 25.0 for Windows software.
Descriptive Statistical Results
Table 1. Internet Addiction Scale
Categorization
No |
Interval |
Category |
F |
Percentage |
1 |
73.5 ≤ x ≤ 100 |
Tall |
15 |
14% |
2 |
46.8 ≤ x ≤ 73.4 |
Keep |
66 |
60% |
3 |
20 ≤ x ≤ 46.7 |
Low |
29 |
26% |
Sum |
110 |
100% |
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����������������� Min = 20 ; Max = 100 ; Mean =
55.56 ; SD = 14,351 |
The results of
the descriptive statistical data in Table 2 show 110 participants, with a
minimum score of 20 to a maximum score of 100 with a standard deviation of
14.351 and an average value of 55.56 for the internet addiction variable. Data
shows that the level of internet addiction from 110 participants is divided
into three categories, namely high, medium, and low. Thus, internet addiction
owned by SMA Negeri 9 Manado students is mostly in the medium category, with a
percentage of 60%.
Table 2. Sleep Quality Scale Categorization
Interval |
Category |
F |
Percentage |
|
1 |
33 ≤ x ≤ 48 |
Good |
7 |
6% |
2 |
17 ≤ x ≤ 32 |
Enough |
73 |
66% |
3 |
0 ≤ x ≤ 16 |
Bad |
30 |
28% |
Sum |
110 |
100% |
||
����������������� Min = 4 ; Max = 47 ; Mean =
21.33 ; SD = 7.635 |
The results of
the descriptive statistical data in table 3 showed that there were 110
participants, having a minimum score of 4 to a maximum score of 47 with a
standard deviation of 7.635, with an average value of 21.33 for sleep quality
variables. Data shows that the quality level of 110 participants is divided
into three categories, namely good, sufficient, and bad. Thus, the quality of
sleep possessed by SMA Negeri 9 Manado students is mostly in the fairly good
category, with a percentage of 66%.
Table 3. Descriptive Statistics |
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|
N |
Minimum |
Maximum |
Mean |
Std. Deviation |
AddictionInternet |
110 |
20 |
100 |
55.56 |
14.351 |
Sleep Quality |
110 |
4 |
47 |
21.33 |
7.635 |
Valid N (listwise) |
110 |
|
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Normality Test
Table 4. One-Sample
Kolmogorov-Smirnov Test
|
Internet Addiction |
Sleep Quality |
|
N |
110 |
110 |
|
Normal Parametersa,b |
Mean |
55,56 |
21,33 |
Std. Deviation |
14,351 |
7,635 |
|
Most Extreme Differences |
Absolute |
0,116 |
0,060 |
Positive |
0,116 |
0,060 |
|
Negative |
-0,052 |
-0,035 |
|
Test Statistics |
0,116 |
0,060 |
|
Asymp. Sig. (2-tailed) |
.001c |
.200c,d |
From the results of the normality test above,
the results of the internet addiction variable are 0.116 with significance =
0.001 (> 0.05) and for the results of the sleep quality
variable is 0.060 with significance = 0.200 (> 0.05),
which means that the two variables are normally distributed.
Linearity Test
Table 5. Internet Addiction and Sleep
Quality Linear Test on SMA Negeri 9 Manado students
ANOVA Table |
|||||||
|
Sum of Squares |
Df |
Mean Square |
F |
Sig. |
||
Sleep Quality * Internet Addiction |
Between Groups |
(Combined) |
3658,985 |
50 |
73,180 |
1,602 |
0,041 |
Linearity |
1807,913 |
1 |
1807,913 |
39,576 |
0,000 |
||
Deviation from Linearity |
1851,072 |
49 |
37,777 |
0,827 |
0,752 |
||
Within Groups |
2695,233 |
59 |
45,682 |
|
|
||
Total |
6354,218 |
109 |
|
|
|
�����������������
From the results of the linear test above from the
two variables: internet addiction (X) and sleep quality (Y). A linearity test
result 0.827 was obtained with significance = 0.752 (> 0.05). It can be concluded that the
relationship between variables (X) internet addiction and (Y) sleep quality in
SMA Negeri 9 Manado students are linear.
Hypothesis
Test Results
Table 6. Test the hypothesis of Internet
Addiction and Sleep Quality in students of SMA Negeri 9 Manado
�� Correlations |
|||
|
Internet Addiction |
Sleep Quality |
|
Internet Addiction |
Pearson Correlation |
1 |
.533** |
Sig. (2-tailed) |
|
0,000 |
|
N |
110 |
110 |
|
Sleep Quality |
Pearson Correlation |
.533** |
1 |
Sig. (2-tailed) |
0,000 |
|
|
N |
110 |
110 |
In the hypothesis test, a significant
positive relationship result was obtained, obtaining a Pearson correlation
value of 0.533 with sig = 0.000 (>0.05). It also has a positive relationship
because, in Pearson, the correlation is positive.
This study obtained results that showed that the
hypothesis was the opposite. This is different from the initial hypothesis that
said that there was a negative relationship between internet addiction and
sleep quality. Still, in this study, there was a positive relationship between
internet addiction and sleep quality in students of SMA Negeri 9 Manado based
on statistical calculations. The results of hypothesis testing obtained a
correlation of 0.533 with a significant level of 0.000 (>0.05).
This is in line with research conducted by Lombogia, Kairupan, and Dandu
(2018), which states a positive relationship between internet addiction and
sleep quality in high school students. In the study, they also wrote that in
Indonesia itself, there have been many studies conducted to determine whether
there is a relationship between internet addiction and sleep quality. Similar to research conducted by Habut, Manafe & Wungouw,
Internet addiction does affect the quality of
a person's sleep; someone who has a behavior that is
at risk of experiencing Internet addiction will have difficulty leaving
activities so that they can be online even at night. This is in line with the
factor of duration of using the internet or lack of control according to. This
can cause a person to be unable to control himself in using the internet so
that it can cause increased time when playing the internet. When it cannot be
controlled, it will affect the quality of sleep, such as lack of sleep duration
at night, and can cause sleep dysfunction or drowsiness during the day. Researchers
use These interrelated aspects of the theory
Currently,
the internet is difficult to separate from humans because now almost everyone
needs the internet to do something such as do assignments, carry out online
learning, and much more. Therefore, so many young people access the internet
every day; the internet today is no longer a reason to prohibit young people
from accessing the internet for too long because, as I explained earlier,
everything is now digitalized, so must use the internet. This is in line with
what Habut, Manafe, and Wangouw
Indeed,
addiction is one of the factors that affect the quality of one's sleep. Still,
the good and bad quality of one's sleep is not only influenced by sleep quality
but also influenced by other factors such as lifestyle factors. A person's
lifestyle can reflect the quality of his sleep. The lifestyle of everyone is
different; some have a good lifestyle, such as frequent exercise, and some are
bad, such as consuming drinks containing alcohol and others can cause the
individual to disturb their sleep, but someone who exercises excessively too
often can reduce the quality of their sleep as well
Furthermore,
there are environmental factors; this factor is the factor that most people
experience when discussing sleep quality because with the individual
environment will be affected by people who are there, for example, invited to
gather until night, experience noise around the room that can inhibit sleep
faster to have good sleep quality, the air temperature in the bedroom is too
hot,� Rooms that are not neat, dirty
rooms and rooms that are uncomfortable to sleep in will greatly affect the good
and bad quality of one's sleep. This aligns with what was said by Ningsih &; Permatasari,
The
last is the psychological stress factor; this factor is one of the three that
affect the quality of one's sleep because when someone experiences
psychological stress, the quality of his sleep will be disturbed by it, a
person cannot sleep comfortably because he thinks of problems or so on that
disturbs the mind at that time therefore the quality of sleep becomes not
good,�
The
limitations and shortcomings in this study were that researchers had difficulty
collecting data or distributing questionnaires to students to fill out and to
fellow researchers to distribute to their friends who were still in high
school. The researcher had difficulty when he wanted permission to go to school
because the principal at that time was on duty so he was not at school when the
researcher came to give a research permit from the faculty. Therefore,
researchers experienced delays in disseminating questionnaire data to students
and quickly collecting participants of SMA Negeri 9 Manado students.
Researchers also find it difficult to find subjects who will fill out the
questionnaire because many of the students have been instructed by the teacher
to fill it out but do not. Therefore, researchers have difficulty finding
participants and students who fill out their questionnaires. Some fill out not
according to their choice, so because the teacher forces them to fill it out,
they fill it out quickly without looking at the questions.
Researchers
have conducted interviews with several participants who have filled out
questionnaires; researchers want to know whether participants filled in
seriously or only the important ones have filled out, so the answers do not
match what they experienced. In the first participant answered the
questionnaire the most did not match the answers at the time of the interview;
for the internet addiction scale of 20 questions, 16 questions the answer was
different from what he answered in the questionnaire, and for the sleep quality
scale of 16 questions, the 10 answer questions were different from what he
answered in the questionnaire. The second participant answered the
questionnaire not according to his answers at the time of the interview; for
the internet addiction scale of 20 questions, 17 questions differed in answers
between the questionnaire and at the time of the interview, and for the sleep
quality scale of 16 questions there were 13 questions whose answers were
different as well.
Then for the third participant answered the
questionnaire mostly differently from his answer at the interview; for the
internet addiction scale of 20 questions, there were 17 different questions
answered when in the questionnaire and at the interview, and for the sleep
quality scale of 16 questions 12 of which were different answers when
interviewed and in the questionnaire Furthermore for the fourth
participant,� He answered in the
questionnaire and at the interview just like the previous three subjects, he
also had several different answers to the answers he chose in the questionnaire
and answers at the time of the interview, for the Internet addiction scale of 20
questions, 7 questions different from the answers in his questionnaire. In
comparison, for the sleep quality scale of 16 questions, there are 11 questions
whose answers differ from those in the questionnaire. From
the interview results above, it can be concluded that participants did not
answer according to the circumstances that happened to them but answered those
that did not match their circumstances. By re-interviewing the study participants,
researchers can find out whether participants choose answers that match what
they experienced and can validate their clear and correct answers.
Based on the research findings, it was observed that
there exists a significant positive relationship between internet addiction and
the sleep quality of SMA Negeri 9 Manado students, contrary to the initial
hypothesis. This indicates that internet addiction does indeed impact the sleep
quality of these students. Furthermore, it is noted that aside from internet
addiction, various other factors such as lifestyle, environmental conditions,
and academic stress may also influence sleep quality. Thus, it is evident that
multiple factors contribute to the quality of sleep among SMA Negeri 9 Manado
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Copyright holder: Juan Gabriel Claudio Sinadia,
Dewita Karema Sarajar (2024) |
First publication rights: International Journal of Social Service and
Research (IJSSR) |
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