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Asian Journal of Healthy and Science

p-ISSN: 2980-4302

e-ISSN: 2980-4310

Vol. 2 No. 8 August 2023

THE RELATIONSHIP OF INTERNET ADDICTION WITH SLEEP

QUALITY IN STUDENTS

Mahzariani Mesi, Arlends Chris

Universitas Tarumanagara Jakarta, Indonesia

Email: meshyzie@gmail.com, arlendsc@fk.untar.ac.id

Abstract

Internet usage too much is one of the things that can make it hard to get a good

night’s sleep. The purpose of this study was to determine the relationship between

internet addiction and sleep quality in SMA Negeri 2 Putussibau students. This type

of research in an analytic study with a cross-sectional design. The sample used were

students of SMA Negeri 2 Putussibau with total sampling technique. This research

was conducted 452 students in grades X-XII using the Internet Addiciton Test(IAT)

questionnaire to measure internet addiciton and the Pittsburgh Sleep Quality Index

(PSQI) questionnaire to asses sleep quality in students of SMA Negeri 2 Putussibau.

The test statiscal anaylsis that was employed was the Chi Square . The achieved P

value = 0,001 (P values < 0.05). So it can be concluded that there is a relationship

between internet addiction and sleep quality in students of SMA Negeri 2 Putussibau.

Keywords: internet; addiction; sleep quality

INTRODUCTION

The Internet is a network that connects millions of people and makes it easy for

users to exchange and access information at any time (Makdis, 2021). The use of the

Internet has become common, such as for entertainment, communication, education

and others. However, excessive internet use can cause problems such as, compulsive

behavior that can interfere with a person's quality of life, cause dependence, cause

stress on family and friends (Marpaung, 2018). Affects education, and leads to

physical health problems, depression, poor sleep quality, mood swings, obesity, and

lack of confidence (Kolhar et al., 2021).

Students spend several hours a day on the internet for learning purposes, online

entertainment, playing games, using social networking sites (SNSs) and other means

of communication (Adiarsi et al., 2015). This increases the risk of problems

occurring. A review to look at the prevalence of South-East Asia Region (SEAR)

students found internet addiction results ranging from 0 to 47.4%, while the

prevalence of internet addiction ranged from 7.4% to 46.4%. Research by Cellini et

al found that excessive internet use is associated with poor sleep quality, can increase

psychological distress such as stress, depression and anxiety in a person (Cellini et

al., 2020). Internet addiction can also interfere with daily activities which can lead to

decreased productivity and neglect of work.

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RESEARCH METHODS

This research is included in the type of quantitative research by analyzing the

picture of the relationship between the two variables, namely the independent

variable (Internet Addiction) and the dependent variable (Sleep Quality). This study

used a cross-sectional research design. This research was conducted on students of

SMA Negeri 2 Putussibau on January 22-24, 2022. Research instruments used to

measure Internet Addiction variables using Internet Addiction Test (IAT) and Sleep

Quality variables (PSQI).

The population of this study was all students of grades X-XII 599 students.

Sampling using non-random sampling techniques with the Total sampling method

by obtaining a minimum number of calculations of 117 students and those included

in the sample according to inclusion criteria amounted to 452 students. Data analysis

using descriptive statistics and inferential statistics with chi-square test (Sugiyono,

2015).

RESULT AND DISCUSSION

The majority of respondents were female (57.7%), for the average age of

respondents 17 years (33.0%), and class XI social studies 2 respondents as many as

33 (7.3%).

Table 1. Internet addiction and gender

Internet addiction

Man

Girl

Total

N (%)

Normal

25(61,0)

16(39,0)

41(100)

Light

86(40,6)

126(59,4)

188(100)

Keep

76(40,4)

112(59.6)

212(100)

Heavy

4(36,4)

7(63,6)

11(100)

Total

191(42,3)

261(57,7)

452(100)

From the table above, it was found that respondents who experienced the most

internet addiction were women (57.7%).

Table 2 Sleep Quality and Gender

Sleep quality

Bad

N (%)

Good

N (%)

Total

N(%)

Gender

Man

(55,0)

86(45,0)

191(100)

Girl

175(67,0)

86(33,0)

261(100)

Total

280(61,9)

172(38,1)

452(100)

Table 3. Internet Addiction Data

Variable

Internet addiction

Normal

9,1

Light

212

46,9

Keep

188

41,6

heavy

2,4

Total

452

100

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Table 3 shows respondents who experience the heaviest internet addiction are

(2.4%).

Table 4. Sleep quality and age

Age

Sleep quality

Total

N(%)

Bad

N (%)

Good

N (%)

31(72,1)

12(27,9)

43(100)

62(62,6)

37(37,4)

99(100)

83(55,7)

66(44,3)

149(100)

80(67,2)

39(32,8)

119(100)

20(60,6)

13(39,4)

33(100)

4(44,4)

5(55,6)

9(100)

Based on the table above, the age of 17 years experienced the most poor sleep

quality 55.7%.

Table 5. Sleep quality data

Variable

Good

172

38,1

Bad

280

61,9

Total

452

100

From the table above, respondents experienced more poor sleep quality (61.9%)

compared to experiencing good sleep quality (38.1%).

Table 6. The Relationship of Internet Addiction with Sleep Quality

Addiction

N (%)

Sleep quality

value

PR(95%CI)

Internetn(%)

Good

Bad

Total

Normal

26(63,4)

15(36,6)

41(100)

0,001 1,762(1,170 2,654)

Addiction

146(35,5)

265(64,5)

41(100)

Total

172(38.1)

280(61.9)

452(100)

Based on table 10, from the results of the chi square hypothesis test, a p value

of 0.001 is obtained so that the p value < 0.05. Based on these statistical tests, Ho was

rejected and HA was accepted, so it can be concluded that there is a relationship

between internet addiction and sleep quality in students of SMA Negeri 2 Putussibau.

Internet addiction

In this study, more female respondents (57.7%) than men 42.3%. Students of

SMA Negeri 2 Putussibau were found (9.1%) not to experience internet addiction, to

experience mild internet addiction (46.9%), to experience moderate internet

addiction (41.6%), to experience severe addiction (2.4%). Based on research data

obtained demographic data and research results, factors that influence a person to

become addicted to the internet are age, gender and other factors (Durkee et al.,

2012). The results of this study showed that someone experienced internet addiction

when viewed from the age of most 17 years old as much as (47.7%).

Research Normandin et al., (2021) At this stage of development, adolescents

are in a phase of identity crisis and curiosity so they want to try new things. In

adolescence tend to experience internet addiction. Researchers assume entering

adolescence is a very vulnerable period, because adolescence is a stage to search for

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identity and identity, which makes them look for information, especially that which

makes them wonder what the internet is and how to use it. This greatly affects

emotional, social and personality development. If teenagers are addicted to the

internet, they will affect their surroundings such as reduced interaction with the real

environment, become a closed person, and prefer to communicate with social media.

According to Handika & Darma, (2018) women are more familiar with terms

on social media and often use social media than men. Women tend to use social

media to share photos, while men are more involved in content-sharing discussions.

Researchers believe that in the era of rapid globalization, women, especially

teenagers, have an interest in fashion which is given the convenience of internet

applications to shop online without having to queue, most women choose to visit the

shopping site (Zheng et al., 2016). This causes a person to have an addictive nature,

consumptive behavior if done consistently will make a person become compulsive

buying disorder or called compulsive shopping disorder, this disorder is categorized

as bipolar disorder.

Sleep Quality

In this study, more female respondents (57.7%) than men (42.3%). It was found

that respondents who had poor sleep quality as much as (61.9%), good sleep quality

as much as (31.8%). In research conducted by Kocas & Şaşmaz, (2018) showed that

(58.6%) respondents had poor sleep quality where most female respondents

experienced poor sleep quality (63.7%) than men (53.6%). Because internet use is not

restricted at home and has no conflict with parents about internet use.

In the study Utari et al., (2021) stated that respondents experienced poor sleep

quality (54.2%)54 this was caused by the use of electronic media such as

smartphones, laptops, computers which can encourage psychological and

physiological adolescents to use the internet longer so that it interferes with sleep.

The Turkish study reported a significant ratio of poor sleep quality in SMA with

(34.1%) in women and (24.5%) in men, with women's risk factors 1.95 times greater

for sleep disorders. Because women are more assigned home-related work than men,

and great pressure from family, biological, hormonal differences can result in female

students having poor sleep quality compared to men.

Research Bakker et al., (2016) where as many as (54%) adolescents spend time

online using social media. This is associated with chat notifications and the latest

content coming in at any time of the day or night. Therefore, it is possible that

teenagers choose not to go to bed when it's time to go to bed because of anxiety or

fear of missing chat notifications and latest content. Sleep deprivation can affect the

physical and psychological health of adolescents such as cardiovascular function,

immune system, metabolism, mood swings or mood swings, decreased

concentration, increased anxiety, depression, anxiety and can affect interpersonal

relationships.

The Relationship Between Internet Addiction and Sleep Quality

In this study, a p value of 0.001 was obtained so that the value (p < 0.05). based

on these statistical tests, Ho was rejected and HA was accepted, so it was concluded

that in this study there was a relationship between internet addiction and sleep quality

in students of SMA Negeri 2 Putussibau.

Research conducted by Lin & Zhu, (2019) in Taiwan on 503 adolescent girls

found a significant relationship between internet addiction and adolescent sleep

quality. Adolescents who experienced moderate and severe internet addiction

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showed poor sleep quality with P value results of 0.001 (P value <0.05). This also

shows that the higher the use of the internet, the quality of adolescent sleep will be

more disturbed.

Research conducted by Lombogia et al., (2021) on 93 students of SMA 1

Kristen Tomohon and found that 78.5% of adolescents experienced moderate

internet addiction and as many as 62.4% of students had poor sleep quality. After

statistical test analysis, the P value of 0.018 (P value <0.05) was obtained, so there is

a relationship between internet addiction and adolescent sleep quality.12 Research

was also conducted by Wahyuningsih & Susanti (2021) found that if internet use is

low, adolescent sleep patterns are good, on the contrary, the higher the internet use,

it will cause reduced sleep patterns and for a long time, it will cause sleep pattern

disturbances.

CONCLUSION

In this study, it was found that students of SMA Negeri 2 Putussibau mostly

experienced mild internet addiction (47.7%), and a total of 90.9% experienced

internet addiction. While those who had poor sleep quality (61.9%). The p value was

obtained at 0.001 so that the p value < 0.05 so that it was concluded that there was a

relationship between internet addiction and sleep quality in students of SMA Negeri

2 Putussibau. The epidemiological association is shown through the PR value

(95%Cl), in this study the PR value (95%Cl) was 1,762 (1,170-2,654). The conclusion

was that students who experienced internet addiction had a risk of 1,762 times to get

poor sleep quality compared to students who did not have internet addiction

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Mahzariani Mesi, Arlends Chris (2023)

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