Dampak stres akademik dan cyberloafing terhadap kecanduan smartphone
-
Published: June 30, 2019
-
Page: 13-19
Abstract
The purpose of this study was to investigate the effect of academic stress and cyberloafing to smartphone addiction. For this purposed, we conducted a survey from 225 participants of post-graduate student at Universitas Negeri Jakarta. This study was used Structural Equation Modelling (SEM) to evaluate the structural model. The result showed that stress academic positively significant affected both smartphone addiction and cyberloafing. The effect of cyberloafing positively significant on smartphone addiction. Stress academic and cyberloafing simultaneously had a positive significant effect to smartphone addiction.
Keywords
- smartphone addiction
- stress academic
- cyberloafing
References
- Agusta, D. (2016). Faktor-Faktor Resiko Kecanduan Menggunakan Smartphone. E-Journal Bimbingan Dan Konseling, 5(3), 86–96.
- Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
- Askew, K. (2013). The relationship between cyberloafing and task performance and an examination of the theory of planned behavior as a model of cyberloafing. Dissertation Abstracts International: Section B: The Sciences and Engineering, 73(12-B(E)), No Pagination Specified. https://doi.org/10.1088/1468-6996/16/2/025006
- Bentler, P. M. (1998). Comparative Fit Indexes in Structural Models. Psychological Methods, 22(4), 541–562. https://doi.org/10.1037/1082-989X.3.4.424
- Chóliz, M. (2012). Mobile-Phone Addiction in Adolescence: The Test of Mobile Phone Dependence (TMD). Progress in Health Sciences, 2(1), 33–44. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=20831617&AN=78040680&h=wphb8c4wPyj5YcT1/vqPudXDBkNUljaaRiQjdQ6NKMAYG/VOmymP2FqL/WjgIEElaALzzXRkxi26TNJ9EtX4zQ==&crl=c
- Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
- Gökçearslan, Ş., Uluyol, Ç., & Şahin, S. (2018). Smartphone addiction, cyberloafing, stress and social support among university students: A path analysis. Children and Youth Services Review, 91(February), 47–54. https://doi.org/10.1016/j.childyouth.2018.05.036
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis (7th Edition) (7th ed.). Prentice Hall.
- Karuniawan, A., & Cahyanti, I. Y. (2013). Hubungan antara Academic Stress dengan Smartphone Addiction pada Mahasiswa Pengguna Smartphone. Jurnal Psikologi Klinis Dan Kesehatan Mental, 2(1), 16–21. https://doi.org/10.1002/ejoc.201200111
- Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., … Kim, D. J. (2013). Development and Validation of a Smartphone Addiction Scale (SAS). PLoS ONE, 8(2). https://doi.org/10.1371/journal.pone.0056936
- Kwon, Y. S., & Paek, K. S. (2016). The influence of smartphone addiction on depression and communication competence among college students. Indian Journal of Science and Technology, 9(41). https://doi.org/10.17485/ijst/2016/v9i41/103844
- Leung, L. (2008). Linking Psychological Attributes To Addiction and Improper Use of the Mobile Phone Among Adolescents in Hong Kong. Journal of Children and Media, 2(2), 93–113. https://doi.org/10.1080/17482790802078565
- Li, S. M., & Chung, T. M. (2006). Internet function and Internet addictive behavior. Computers in Human Behavior, 22(6), 1067–1071. https://doi.org/10.1016/j.chb.2004.03.030
- Lopez-Fernandez, O., Männikkö, N., Kääriäinen, M., Griffiths, M. D., & Kuss, D. J. (2018). Mobile gaming and problematic smartphone use: A comparative study between Belgium and Finland. Journal of Behavioral Addictions, 1–12. https://doi.org/10.1556/2006.6.2017.080
- Mardia, K. V. (1970). Measures of Multivariate Skewness and Kurtosis with Principal Components. Japanese Journal of Applied Statistics, 57(3), 519–530. https://doi.org/10.5023/jappstat.36.139
- S, H. S. R., & Cahyadin, M. (2012). The Moderation Effect of Commitment To Supervisor and Internet Expertise on Work Stressor and Employee Cyberloafing : The Study on Employee of Local Government of Surakarta. Journal of Indonesian Economy and Business, 27(2), 2012.
- Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321–325. https://doi.org/10.1016/j.chb.2015.12.045
- Şen, E., Tozlu, E., Ateşoğlu, H., & Özdemİr, A. (2016). the Effects of Work Stress on Cyberloafing Behavior in Higher Education Institutions. 2016(October), 523–535.
- Stevens, J. P. (2009). Applied Statistics for The Social Sciences Fifth Edition. In Group. https://doi.org/10.4324/9780203843130
- Sun, J., Dunne, M. P., Hou, X. yu, & Xu, A. qiang. (2011). Educational stress scale for adolescents: Development, validity, and reliability with Chinese students. Journal of Psychoeducational Assessment, 29(6), 534–546. https://doi.org/10.1177/0734282910394976
- Yellowlees, P. M., & Marks, S. (2007). Problematic Internet use or Internet addiction? Computers in Human Behavior, 23(3), 1447–1453. https://doi.org/10.1016/j.chb.2005.05.004