Identification and Classsification Cyber Bullying among University’s Students

Paul Joae Brett Nito; Malisa Ariani; Onieqie Ayu Dhea Manto; Dewi Wulandari

doi:10.26714/mki.5.4.2022.302-308

Identification and Classsification Cyber Bullying among University’s Students

Paul Joae Brett Nito^(1*), Malisa Ariani⁽²⁾, Onieqie Ayu Dhea Manto⁽³⁾, Dewi Wulandari⁽⁴⁾

(1) Departemen Keperawatan Anak, Program Studi Sarjana Keperawatan, Fakultas Kesehatan, Universitas Sari Mulia
(2) Departemen Keperawatan Anak, Program Studi Sarjana Keperawatan, Fakultas Kesehatan, Universitas Sari Mulia
(3) Departemen Keperawatan Medikal Bedah, Program Studi Sarjana Keperawatan, Fakultas Kesehatan, Universitas Sari Mulia
(4) Unit Kemahasiswaan Alumni, Politeknik Unggulan Kalimantan
(*) Corresponding Author

Abstract

The development of technology not only has a positive impact but also has a negative impact. One of them is the shift in bullying trends, from traditional bullying to cyberbullying. Based on a report, as many as 210.3 million internet users aged 13-17 years ranked third in using social media. Cyberbullying victims in Indonesia reach 41-50% and 80% of teenagers become victims of cyberbullying. This study aims to determine the incidence of cyberbullying in students. Using an analytical survey research method with a cross-sectional survey design. Data collection through Cyberbullying and Online Aggression Survey questionnaires and data processing is presented in the form of a frequency distribution. The results showed that 125 respondents (75%) who experienced cyberbullying with types of cyberbullying included flaming 32,14%; exclusion 62,75%; harassment 47,44%; flooding 50%; masquerade log in 42,34%; trolling 25,52%; denigration 19,89%; outing 25%; dan sexual harassment 15,3%. The incidence of cyberbullying in adolescents is still high and all types of cyberbullying have been experienced by adolescents.

Keywords

Bullying; Cyberbullying; Adolescence

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