THE DANGEROUS EFFECT OF ONLINE GAMES FOR STUDENTS OF UNIVERSITY

Authors

  • Yudhistiro Pandu Widhoyoko Universitas Slamet Riyadi
  • Arif Sutikno Universitas Slamet Riyadi

DOI:

https://doi.org/10.33061/js.v5i2.8219

Keywords:

online game, education, GPA, Students, Addicted game

Abstract

This study aims to describe in general to the public about the potential dangers contained in playing online games. Playing games is very fun but with the same level of addiction as drugs.

The method used in this research is descriptive method. This descriptive study aims to create an accurate, factual, and systematic descriptive description of the nature and facts and the relationship between the phenomena studied using observational data collection techniques, questionnaires, and document studies. The number of respondents are fifty students as active PUBG online game players at the Information Technology Study Program, FKIP, Unisri.

The conclusion of this study is that the number of students whose value index is affected by playing this online game is 82%. Meanwhile, students whose score index was not affected by playing this online game were 17%.

References

Afrough, T., Rahimi, A., & Zarafshan, M. (2014). Foreign Language Learning Demotivation: A Construct Validation Study. Procedia - Social and Behavioral Sciences, 136, 49–53. https://doi.org/10.1016/J.SBSPRO.2014.05.286

Anh, P. Q. (2021). Media governance: managing online games seen from the perspective of the state in Vietnam. Heliyon, 7(1). https://doi.org/10.1016/J.HELIYON.2021.E06045

Aristoteles, Rini, P. S., & Poddar, S. (2020). The correlation between frequency of playing online games and teen communication on nursing students in STIKes Muhammadiyah Palembang. Enfermeria Clinica, 30, 1–5. https://doi.org/10.1016/J.ENFCLI.2019.11.014

Balakrishnan, J., & Griffiths, M. D. (2018). Loyalty towards online games, gaming addiction, and purchase intention towards online mobile in-game features. Computers in Human Behavior, 87, 238–246. https://doi.org/10.1016/J.CHB.2018.06.002

Coyle, T. R., Snyder, A. C., Richmond, M. C., & Little, M. (2015). SAT non-g residuals predict course specific GPAs: Support for investment theory. Intelligence, 51, 57–66. https://doi.org/10.1016/J.INTELL.2015.05.003

Dahabiyeh, L., Najjar, M. S., & Agrawal, D. (2021). When ignorance is bliss: The role of curiosity in online games adoption. Entertainment Computing, 37. https://doi.org/10.1016/J.ENTCOM.2020.100398

Ding, J., Shan, R., Chenmeng, M., Tu, M., Yu, Q., Kong, F., & Zhao, Q. (2021). Are online games a blessing or evil? The moderating role of self-worth. Thinking Skills and Creativity, 41. https://doi.org/10.1016/J.TSC.2021.100915

Drachen, A., Lundquist, E. T., Kung, Y., Rao, P. S., Klabjan, D., Sifa, R., & Runge, J. (2016). Rapid Prediction of Player Retention in Free-to-Play Mobile Games. http://arxiv.org/abs/1607.03202

Entwistle, G. J. M., Blaszczynski, A., & Gainsbury, S. M. (2020). Are video games intrinsically addictive? An international online survey. Computers in Human Behavior, 112. https://doi.org/10.1016/J.CHB.2020.106464

Esteves, J., Valogianni, K., & Greenhill, A. (2021). Online social games: The effect of social comparison elements on continuance behaviour. Information and Management, 58(4). https://doi.org/10.1016/J.IM.2021.103452

Fajnzylber, E., Lara, B., & León, T. (2019). Increased learning or GPA inflation? Evidence from GPA-based university admission in Chile. Economics of Education Review, 72, 147–165. https://doi.org/10.1016/J.ECONEDUREV.2019.05.009

Falout, J., Elwood, J., & Hood, M. (2009). Demotivation: Affective states and learning outcomes. System, 37(3), 403–417. https://doi.org/10.1016/J.SYSTEM.2009.03.004

Garena Free Fire Gameplay, Modes, Esports: 2022 Updated. (n.d.). Retrieved June 18, 2022, from https://trendblog.net/garena-free-fire/

Gong, X., Zhang, K. Z. K., Cheung, C. M. K., Chen, C., & Lee, M. K. O. (2019). Alone or together? Exploring the role of desire for online group gaming in players’ social game addiction. Information & Management, 56(6), 103139. https://doi.org/10.1016/J.IM.2019.01.001

Hassan, S. M., & Al-Razgan, M. S. (2016). Pre-University Exams Effect on Students GPA: A Case Study in IT Department. Procedia Computer Science, 82, 127–131. https://doi.org/10.1016/J.PROCS.2016.04.018

Heady, C., Morrison, M. M., & Vossler, J. (2018). Ecological Study of Graduation Rates and GPA in a Library Credit Course. The Journal of Academic Librarianship, 44(5), 642–649. https://doi.org/10.1016/J.ACALIB.2018.07.010

Huang, C. L., Yang, S. C., & Hsieh, L. S. (2019). The cyberbullying behavior of Taiwanese adolescents in an online gaming environment. Children and Youth Services Review, 106, 104461. https://doi.org/10.1016/J.CHILDYOUTH.2019.104461

Hyun, G. J., Han, D. H., Lee, Y. S., Kang, K. D., Yoo, S. K., Chung, U. S., & Renshaw, P. F. (2015). Risk factors associated with online game addiction: A hierarchical model. Computers in Human Behavior, 48, 706–713. https://doi.org/10.1016/J.CHB.2015.02.008

Kocak Alan, A., Tumer Kabadayi, E., & Cavdar Aksoy, N. (2022). Replaying online games for flow experience and outcome expectations: An exploratory study for the moderating role of external locus of control based on Turkish gamers’ evaluations. Entertainment Computing, 40. https://doi.org/10.1016/J.ENTCOM.2021.100460

Kowert, R., & Oldmeadow, J. A. (2015). Playing for social comfort: Online video game play as a social accommodator for the insecurely attached. Computers in Human Behavior, 53, 556–566. https://doi.org/10.1016/J.CHB.2014.05.004

Kusuma, G. P., Putera Suryapranata, L. K., Wigati, E. K., & Utomo, Y. (2021). Enhancing Historical Learning Using Role-Playing Game on Mobile Platform. Procedia Computer Science, 179, 886–893. https://doi.org/10.1016/J.PROCS.2021.01.078

Lassila, E. M. (2022). “Free”-to-play game: Governing the everyday life of digital popular culture. Critical Perspectives on Accounting, 102434. https://doi.org/10.1016/J.CPA.2022.102434

Lestringant, P., Delarue, J., & Heymann, H. (2019). 2010–2015: How have conventional descriptive analysis methods really been used? A systematic review of publications. Food Quality and Preference, 71, 1–7. https://doi.org/10.1016/J.FOODQUAL.2018.05.011

Liao, G. Y., Pham, T. T. L., Huang, H. Y., Cheng, T. C. E., & Teng, C. I. (2022). Real-world demotivation as a predictor of continued video game playing: A study on escapism, anxiety and lack of intrinsic motivation. Electronic Commerce Research and Applications, 53, 101147. https://doi.org/10.1016/J.ELERAP.2022.101147

Martin, D. M., Jacobs, A. D., McLean, C., Canick, M. R., & Boomer, K. (2022). Comparing normative and descriptive methods for multi-criteria decision analysis: A case study evaluating wetland restoration opportunities in the Chesapeake Bay watershed, USA. Environmental Science and Policy, 132, 142–152. https://doi.org/10.1016/J.ENVSCI.2022.02.022

O’Sullivan, M. G. (2020). Descriptive methods for reformulation. Salt, Fat and Sugar Reduction, 147–165. https://doi.org/10.1016/B978-0-12-819741-7.00006-7

Sharma, S., Singh, G., & Sharma, R. (2021). For it is in giving that we receive: Investigating gamers’ gifting behaviour in online games. International Journal of Information Management, 60. https://doi.org/10.1016/J.IJINFOMGT.2021.102363

Shin, S. J., Jeong, D., & Park, E. (2021). Effects of conflicts on outcomes: The case of multiplayer online games. Entertainment Computing, 38. https://doi.org/10.1016/J.ENTCOM.2021.100407

Song, B., & Kim, T. Y. (2017). The dynamics of demotivation and remotivation among Korean high school EFL students. System, 65, 90–103. https://doi.org/10.1016/J.SYSTEM.2016.12.010

Spada, M. M., & Caselli, G. (2017). The Metacognitions about Online Gaming Scale: Development and psychometric properties. Addictive Behaviors, 64, 281–286. https://doi.org/10.1016/J.ADDBEH.2015.07.007

Tammy Lin, J. H., Bowman, N., Lin, S. F., & Chen, Y. S. (2019). Setting the digital stage: Defining game streaming as an entertainment experience. Entertainment Computing, 31, 100309. https://doi.org/10.1016/J.ENTCOM.2019.100309

Tan, W. K., & Chen, L. M. (2022). That’s not my fault: Excuses given by players exhibiting in-game intra-team aggressive behavior in online games. Computers in Human Behavior, 127. https://doi.org/10.1016/J.CHB.2021.107045

Thuillier, B., Valentin, D., Marchal, R., & Dacremont, C. (2015). Pivot© profile: A new descriptive method based on free description. Food Quality and Preference, 42, 66–77. https://doi.org/10.1016/J.FOODQUAL.2015.01.012

Vahidnia, F., Ghonsooly, B., & Shahriari, H. (2021). Development and validation of students’ attitudes towards teacher’s pet phenomenon scale in the higher education setting: Differences by levels of study and Grade-Point-Average. Studies in Educational Evaluation, 70. https://doi.org/10.1016/J.STUEDUC.2021.101000

Yadav, M., & BaniAta, H. (2013a). Factorizing Demotivation, Finding Motivation: A Constructive Approach to Quality Enhancement. Procedia - Social and Behavioral Sciences, 70, 120–130. https://doi.org/https://doi.org/10.1016/j.sbspro.2013.01.047

Yadav, M., & BaniAta, H. (2013b). Factorizing Demotivation, Finding Motivation: A Constructive Approach to Quality Enhancement. Procedia - Social and Behavioral Sciences, 70, 120–130. https://doi.org/10.1016/J.SBSPRO.2013.01.047

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Published

2023-04-01