HUBUNGAN KONTROL DIRI DAN KECERDASAN EMOSI DENGAN PERILAKU CYBERBULLYING DI KALANGAN PENGGUNA AKUN ALTER

Dian Asti Karina* -  UIN Raden Intan Lampung, Indonesia
Nugroho Arief Setiawan -  UIN Raden Intan Lampung, Indonesia
Intan Islamia -  UIN Raden Intan Lampung, Indonesia
Ahmad Zarkasi -  UIN Raden Intan Lampung, Indonesia
DOI : 10.33024/jpm.v8i2.25301

Supp. File(s): common.other

ABSTRAK

Penggunaan akun alter di media sosial memungkinkan individu tampil anonim sehingga lebih leluasa mengekspresikan diri, namun juga meningkatkan potensi cyberbullying. Penelitian ini bertujuan menguji korelasi terhadap pengendalian diri dan kecerdasan emosi dengan tindak perundungan siber dikalangan pengguna akun alter menggunakan teknik kuantitatif korelasional dengan teknik purposive sampling, dengan 100 partisipan. Data dikumpulkan melalui kuesioner laporan diri dan diolah menggunakan SEM-PLS. Hasil penelitian menunjukkan bahwa pengendalian diri serta kecerdasan emosi menjabarkan 19,9% variasi perilaku cyberbullying. Pengendalian diri dan  kecerdasan emosi memberikan efek negatif pada cyberbullying, dengan pengendalian diri berperan lebih dominan  dibandingkan kecerdasan emosi, sehingga semakin tinggi kedua kemampuan tersebut, semakin rendah kecenderungan individu terlibat dalam cyberbullying dan keduanya berperan sebagai faktor pelindung dalam interaksi digital anonim.

 

 

Kata kunci: Cyberbullying, Kontrol Diri, Kecerdasan Emosi, Akun Alter, Media Sosial  ABSTRACT

The use of alter accounts on social media allows individuals to appear anonymously, thus enabling them to express themselves more freely, but it also increases the potential for cyberbullying. This research aims to test the correlation of self-control and emotional intelligence with cyberbullying behavior among alter account users using a quantitative correlational technique with purposive sampling technique, with 100 participants. Data were collected through self-report questionnaires and analyzed using SEM-PLS. The result reveals that self-control and emotional intelligence explain 19.9% of the variation in cyberbullying behavior. Self-control and emotional intelligence  have a negative effect on cyberbullying, with self-control being more dominant compared to emotional intelligence, thus the higher these two abilities, the lower the individual's tendency to engage in cyberbullying, and both act as protective factors in anonymous digital interactions.

 

Keywords: Cyberbullying, Self Control, Emotional Intelligence, Alter Accounts, Social Media

Supplement Files

Keywords : Cyberbullying, Kontrol Diri, Kecerdasan Emosi, Akun Alter, Media Sosial

  1. Al Adawiah, R., & Masri, E. (2022). Urgensi pencegahan perundungan dunia maya (cyberbullying) terhadap pelajar. Abdi Bhara: Jurnal Pengabdian kepada Masyarakat, 1(1), 24–31. https://doi.org/10.31599/abhara.v1i1.1172
  2. Aristyawati, A. A. I. V., Wulanyani, N. M. S., & Devapramod. (2023). Self disclosure analysis of alter account users on Twitter: A social media study. Sinergi International Journal of Psychology, 1(1), 28–38. https://doi.org/10.61194/psychology.v1i1.50
  3. Astuti, Y. D., & Dewi, N. S. (2021). Peran dan intensitas cyberbullying pada siswa
  4. SMP. Jurnal Ilmiah Kesehatan, 14(2), 123–130. https://doi.org/10.48144/jiks.v14i2.570
  5. Aulani, S. D., & Agustina, L. S. S. (2024). Kontrol diri, kecerdasan emosi, dan perilaku cyberbullying pengguna akun alter X (Twitter). Jurnal Psikologi, 17(2), 315–327. https://doi.org/10.35760/psi.2024.v17i2.11311
  6. Avianingrum, N. A. (2024). Penanganan cyberbullying terhadap remaja dalam perspektif hukum siber di Indonesia: Tinjauan normatif yuridis. Staatsrecht: Jurnal Hukum Kenegaraan dan Politik Islam, 4(1), 51–77. https://doi.org/10.14421/n3xx0g94
  7. Barlett, C. P., Bennardi, C., Williams, S., & Zlupko, T. (2021). Theoretically predicting cyberbullying perpetration in youth with the BGCM: Unique challenges and promising research opportunities. Frontiers in Psychology, 12, Article 708277. https://doi.org/10.3389/fpsyg.2021.708277
  8. Budi, A. S., & Nusantoro, E. (2022). Pengaruh kecerdasan emosi dan kontrol diri terhadap cyberbullying pada siswa di MTs Ma’arif Temanggung. FOCUS, 3(1), 59–63. https://doi.org/10.37010/fcs.v3i1.599
  9. Bulan, M. A. I. C., & Wulandari, P. Y. (2021). Pengaruh kontrol diri terhadap kecenderungan perilaku cyberbullying pada remaja pengguna media sosial anonim. Buletin Riset Psikologi dan Kesehatan Mental (BRPKM), 1(1), 497–507. https://doi.org/10.20473/brpkm.v1i1.25127
  10. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.
  11. Ghozali, I. (2016). Aplikasi analisis multivariate dengan program IBM SPSS 23 (8th ed.). Badan Penerbit Universitas Diponegoro.
  12. Ghozali, I., & Latan, H. (2015). Partial least squares: Konsep, teknik, dan aplikasi menggunakan program SmartPLS 3.0 (2nd ed.). Badan Penerbit Universitas Diponegoro.
  13. Goleman, D. (1995). Emotional intelligence: Why it can matter more than IQ. Bantam Books.
  14. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications.
  15. Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Danks, N. P. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer.
  16. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
  17. Islamia, I., Yanti, N. N., & Kartina, I. (2023). Self-disclosure on Instagram: Effects of narcissistic tendencies and needs for affiliation in university students. Psikoislamedia: Jurnal Psikologi, 8(2). https://doi.org/10.22373/psikoislamedia.v8i2.20504
  18. Kemp, S. (2024). Digital 2024: Indonesia. DataReportal. https://datareportal.com/reports/digital-2024-indonesia
  19. Khairunnisa, R., & Alfaruqy, M. Z. (2022). Hubungan antara kecerdasan emosional dengan cyberbullying di media sosial Twitter pada siswa SMAN 26 Jakarta. Jurnal EMPATI, 11(4), 260–268. https://doi.org/10.14710/empati.0.36471
  20. Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
  21. Kowalski, R. M., Limber, S. P., & Agatston, P. W. (2012). Cyberbullying: Bullying in the digital age (2nd ed.). Wiley-Blackwell.
  22. Kurniawan, I., Husin, L. S., Rasyidin, Y., & Islamia, I. (2019). Hubungan antara kecerdasan emosional dengan perilaku agresif pada santri pondok pesantren. ANFUSINA: Journal of Psychology, 2(2). https://doi.org/10.24042/ajp.v2i2.6101
  23. Marwah, S., Rahman, P. R. U., & Pratomo, R. Y. (2024). Perilaku cyberbullying pada emerging adulthood: Peran kontrol diri dan regulasi emosi. IDEA: Jurnal Psikologi, 8(2). https://doi.org/10.32492/idea.v8i2.8203
  24. Nito, P. J. B., Ariani, M., Manto, O. A. D., & Wulandari, D. (2022). Identification and classification cyber bullying among university students. Media Keperawatan Indonesia, 5(4), 302–308. https://doi.org/10.26714/mki.5.4.2022.302-308
  25. Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2021). Partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0: An updated guide and practical guide to statistical analysis (2nd ed.). Pearson Malaysia.
  26. Safinatunnajah, S., & Amalia, I. (2019). Pengungkapan marah di jejaring sosial. TAZKIYA Journal of Psychology, 7(2), 155–175. https://doi.org/10.15408/tazkiya.v7i2.13476
  27. Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG
  28. Santrock, J. W. (2018). Adolescence (16th ed.). McGraw-Hill Education.
  29. Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2020). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211. https://doi.org/10.1016/j.ausmj.2019.05.003
  30. Suler, J. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7(3), 321–326. https://doi.org/10.1089/1094931041291295
  31. Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72(2), 271–324. https://doi.org/10.1111/j.0022-3506.2004.00263.x
  32. Taqiyyah, N. A., & Fahmi, A. B. (2024). Peran kecerdasan emosi dan dukungan sosial teman sebaya dalam memprediksi perilaku cyberbullying pada remaja pengguna media sosial. Jurnal Psikologi, 20(1). https://doi.org/10.24014/jp.v20i1.22182
  33. United Nations Children's Fund. (2020). Bullying in Indonesia. UNICEF Indonesia.
  34. Wang, X., Wang, S., & Zeng, X. (2023). Does deviant peer affiliation accelerate adolescents' cyberbullying perpetration? Roles of moral disengagement and self-control. Psychology in the Schools, 60(12), 5025–5040. https://doi.org/10.1002/pits.23037
  35. Willard, N. E. (2007). Cyberbullying and cyberthreats: Responding to the challenge of online social aggression, threats, and distress. Research Press.

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