Living with Internet Addiction: Experience of Adolescent Girls during Learning from Home in COVID-19 Pandemic
Keywords:Adolescent girls, Experience, Internet addiction, Learning from home, COVID-19 pandemic
Aims: In recent years, the internet has been seen as a positive tool that simplify various activities of human life. However, internet use is also seen as negatively impacting the lives of adolescents, especially during the Covid 19 pandemic. This study aimed to explore the life experiences of adolescent girls who became addicted to the internet while learning from home during the Covid 19 pandemic.
Methods: This was a qualitative phenomenology study was conducted in West Java Province, Indonesia. Total sample was 13 adolescent girls which obtained by purposive sampling technique. The inclusion criteria for this study were high school students from high schools; experienced moderate internet addition as evidenced by the result of the Internet Addiction Test (IAT); and able to communicate in Indonesian. Exclusion criteria was participants with communication problem and psychiatric disorders such as depression and schizophrenia. Data were collected through in-depth interviews and analysis was performed using the Collaizzi approach.
Results: Five themes were identified in this study: constant use of the internet due to boredom, bad mood, and curiosity; health issues due to internet use; easily influenced by internet contents; tend to forget learning materials and lazy to learn; and parental supervision.Conclusion: Adolescent girls with internet addiction have a complex life as they are easily influenced by what they see on the internet. In addition, these girls also experience various health problems. The results of this study can provide information to the public and health workers about the importance of monitoring the use of the internet among adolescents. Controlling the use of the internet is still necessary for internet use and is good and in accordance with the needs and based on the development of adolescents.
Plum Analytics Artifact Widget Block
Stats IW. World Internet usage and Population Statistic; 2020. Available from: https://www.internetworldstats.com/stats.htm. [Last accessed on 2020 Oct ??].
Yang SC, Tung CJ. Comparison of Internet addicts and non-addicts in Taiwanese high school. Comput Human Behav. 2007;23(1):79-96. https://doi.org/10.1016/j.chb.2004.03.037 DOI: https://doi.org/10.1016/j.chb.2004.03.037
Suryani S, Sriati A, Septiani N. Lived experiences of adolescents with internet addiction. Nurse Media J Nurs. 2020;10(2):158-70. https://doi.org/10.14710/nmjn.v10i2.31161 DOI: https://doi.org/10.14710/nmjn.v10i2.31161
Alavi SS, Maracy MR, Jannatifard F, Eslami M. The effect of psychiatric symptoms on the internet addiction disorder in Isfahan’s University students. J Res Med Sci. 2011;16(6):793-800. PMid:22091309
Young K. Internet Addiction Test (IAT). Illinois, United States: Stoelting; 2016.
Morrow R, Rodriguez A, King N. Colaizzi’s descriptive phenomenological method. Psychologist. 2015;28(8):643-4.
IM of C and Information, 98 Persen Anak dan Remaja Tahu Internet; 2020.
Park S. Associations of physical activity with sleep satisfaction, perceived stress, and problematic internet use in Korean adolescents. BMC Public Health. 2014;14(1):1143. https://doi.org/10.1186/1471-2458-14-1143 PMid:25373558 DOI: https://doi.org/10.1186/1471-2458-14-1143
Kusnanto K, Rohmah FA, Wahyudi AS, Arifin H. Mental workload and stress with blood glucose level: A correlational study among lecturers who are structural officers at the university. Syst Rev Pharm. 2020;11(7):253-7.
Malik F, Marwaha R. Developmental Stages of Social Emotional Development in Children. Treasure Island, FL: Stat Pearls; 2020.
Moon JH, Kim KW, Moon NJ. Smartphone use is a risk factor for pediatric dry eye disease according to region and age: A case control study. BMC Ophthalmol. 2016;16(1):188. https://doi.org/10.1186/s12886-016-0364-4 PMid:27788672 DOI: https://doi.org/10.1186/s12886-016-0364-4
Tajalli F, Zarnaghash M. Effect of family communication patterns on internet addiction. Pract Clin Psychol. 2017;5(3):159-66. DOI: https://doi.org/10.18869/acadpub.jpcp.5.3.159
Lin CH, Lin SL, Wu CP. The effects of parental monitoring and leisure boredom on adolescents’ internet addiction. Adolescence. 2009;44(176):993-1004. PMid:20432612
Ariani P, Suryani S, Hernawaty T. Relationship between academic stress, family and peer attachment with internet addiction in adolescents. J Keperawatan Padjadjaran. 2018;6(3):215-26. https://doi.org/10.24198/jkp.v6i3.483 DOI: https://doi.org/10.24198/jkp.v6i3.483
How to Cite
Copyright (c) 2021 Suryani Suryani, Windy Rakhmawati, Restuning Widiasih, Cecep Eli Kosasih (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All rights reserved.