INDIKASI KECANDUAN SMARTPHONE PADA REMAJA DI SURABAYA
Abstract
Introduction: Smartphone addiction is a problem that often occurs in early adolescents. The purpose of this study was to find an overview of smartphone addiction indications in adolescents. Methods: The population in this study is junior high school students in Surabaya who have smartphones. Sampling was carried out using multistage random sampling in ten schools spread in each region in Surabaya and each region represented by a private school and one public school. The number of samples in the study was 400 students. Measurement using Smartphone addiction Scale (SAS). Result: The sample in this study were 400 students with 30.5% male and 69.5% female. The sample was between 12-17 (mean, 14.03 + 0.813) years with a distribution of 13% class seven, 65.8% class eight and 21.2% class Nine. The four indicators showed the majority in the moderate category, namely life disturbance, positive anticipation, withdrawal and cyberspace oriented, while overused and tolerance are mostly in the lower category. Conclusion: Cyberspace oriented is the most visible indication because smartphones are considered an important part of adolescents' lives. So eventhough the use of a long smartphone is not considered excessive. Identification of the type of addiction and the time that smartphone usage needs to be added as additional data.
Downloads
References
Barkley, J. E. and Lepp, A. (2016) ‘Mobile phone use among college students is a sedentary leisure behavior which may interfere with exercise’, Computers in Human Behavior. Elsevier Ltd, 56, pp. 29–33. doi: 10.1016/j.chb.2015.11.001.
Cha, S. S. and Seo, B. K. (2018) ‘Smartphone use and smartphone addiction in middle school students in Korea: Prevalence, social networking service, and game use’, Health Psychology Open, 5(1). doi: 10.1177/2055102918755046.
Cha, S. and Seo, B. (2018) ‘Smartphone use and smartphone addiction in middle school students in Korea : Prevalence , social networking service , and game use’, Health Psychology. doi: 10.1177/2055102918755046.
Cocorada, E. et al. (2018) ‘Assessing the smartphone addiction risk and its associations with personality traits among adolescents’, Children and Youth Services Review 93, 345–354.
Elhai, J. D. et al. (2017) ‘Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use’, Computers in Human Behavior. Elsevier Ltd, 69, pp. 75–82. doi: 10.1016/j.chb.2016.12.023.
Haug, S. et al. (2015) ‘Smartphone use and smartphone addiction among young people in Switzerland’, Journal of Behavioral Addictions, 4(4), pp. 299–307. doi: 10.1556/2006.4.2015.037.
Hussain, Z., Griffiths, M. D. and Sheffield, D. (2017) ‘An investigation into problematic smartphone use: The role of narcissism, anxiety, and personality factors’, Journal of Behavioral Addictions, 6(3), pp. 1–9. doi: 10.1556/2006.6.2017.052.
Khoury, J. M. et al. (2017) ‘Assessment of the accuracy of a new tool for the screening of smartphone addiction’, PLoS ONE, 12(5), pp. 1–13. doi: 10.1371/journal.pone.0176924.
Kominfo (2016) Infografis Indikator TIK 2016. Jakarta.
Kuss, D. J. et al. (2018) ‘Problematic Mobile Phone Use and Addiction Across Generations: the Roles of Psychopathological Symptoms and Smartphone Use’, Journal of Technology in Behavioral Science. Journal of Technology in Behavioral Science, pp. 141–149. doi: 10.1007/s41347-017-0041-3.
Kwon, M. et al. (2013) ‘Development and Validation of a Smartphone Addiction Scale (SAS)’, PLoS ONE, 8(2). doi: 10.1371/journal.pone.0056936.
Lee, C. and Lee, S. J. (2017) ‘Prevalence and predictors of smartphone addiction proneness among Korean adolescents’, Children and Youth Services Review. Elsevier, 77(April), pp. 10–17. doi: 10.1016/j.childyouth.2017.04.002.
Nahas, M. et al. (2018) ‘Problematic smartphone use among Lebanese adults aged 18–65 years using MPPUS-10’, Computers in Human Behavior. Elsevier, 87(February), pp. 348–353. doi: 10.1016/j.chb.2018.06.009.
Samaha, M. and Hawi, N. S. (2016) ‘Relationships among smartphone addiction, stress, academic performance, and satisfaction with life’, Computers in Human Behavior. Elsevier Ltd, 57, pp. 321–325. doi: 10.1016/j.chb.2015.12.045.
Sun, J., Liu, Q. and Yu, S. (2019) ‘Child neglect, psychological abuse and smartphone addiction among Chinese adolescents: The roles of emotional intelligence and coping style’, Computers in Human Behavior, 90, pp. 74–83. doi: 10.1016/j.chb.2018.08.032.
Wang, P. et al. (2017) ‘Peer relationship and adolescent smartphone addiction: The mediating role of self-esteem and the moderating role of the need to belong’, Journal of Behavioral Addictions, 6(4), pp. 708–717. doi: 10.1556/2006.6.2017.079.
