Mahasiswa sebagai pengguna media sosial tertinggi memiliki prevalensi gangguan media sosial cukup tinggi yaitu 50% pada mahasiswa di Turki (2020), 24,9% pada responden di Indonesia (2020), 60% pada mahasiswa di Baghdad (2020). Prevalensi pada mahasiswa baru UI sebesar 24,3% (Angkatan 2021) lebih tinggi dibandingkan dengan mahasiswa lama sebesar 17,3% (Angkatan 2018-2020). Mahasiswa angkatan baru lebih rentan terhadap gangguan media sosial. Oleh karenanya diperlukan adanya model intervensi preventif untuk merespons tren meningkatnya prevalensi gangguan media sosial. Tujuan studi ialah merancang dan mengetahui efek model intervensi daring “Sehat Bermedia Sosial” (SBS) terhadap skor gangguan media sosial pengetahuan, sikap, durasi penggunaan media sosial, jumlah akun aktif, need to belong, dan regulasi diri pada mahasiswa Universitas Indonesia. Metodologi: Pelaksanaan semua tahapan pengembangan model dilakukan daring dan meliputi studi pendahuluan (n=201); studi survey (n=339) untuk mendapatkan data skor GMS pada mahasiswa; mendesain, menguji coba dan melaksanakan tahapan model; dan studi quasi experiment (n=74) untuk mengetahui efek model. Hasil: Pemberian intervensi model “SBS” efektif meningkatkan skor pengetahuan CBT (13,7%) dan regulasi diri (14,5%). Kemudian, pemberian intervensi efektif menurunkan skor gangguan media sosial (19%), durasi waktu penggunaan media sosial (10%). Namun, belum efektif menurunkan NTB karena terjadi kenaikan NTB sebesar 4% dan belum efektif meningkatkan sikap penggunaan media sosial dan menurunkan jumlah akun sosial media karena tidak bermakna secara statistik. Kesimpulan: Model sebagai upaya preventif telah berhasil memberikan efek intervensi utamanya pada penurunan gangguan media sosial. Rekomendasi: Melakukan upaya sosialisasi model “Sehat Bermedia Sosial” agar diadopsi dan diterapkan pada universitas atau institusi Pendidikan setara lainnya dan implementasi model mampu mengatasi kendala terbatasnya ruang, waktu dan kendala geografis selama terdapat jaringan internet.
College student as the highest social media users have a fairly high prevalence of social media disorder (SMD): namely 50% among college students in Turkey (2020), 24.9% among respondents in Indonesia (2020), 60% among college students in Baghdad (2020). The prevalence among new UI students is 24.3% (Class of 2021) higher than that of old students at 17.3% (Class of 2018-2020). New students are more vulnerable to social media interference. Therefore, there is a need for a preventive intervention model to respond to the trend of increasing prevalence of social media disorders. Purpose: The aim of the study is to design and determine the effect of the "Sehat Bermedia Sosial" online intervention model on social media disorder scores, knowledge, attitudes, duration of social media use, number of active accounts, need to belong, and self-regulation among Universitas Indonesia students. Methodology: All stages of model development were carried out online and included a preliminary study (n=201); survey study (n=339) to obtain SMD score data for students; designing, testing, and implementing model stages; and a quasi-experimental study (n=74) to determine the model effect. Results: Providing the "SBS" model intervention was effective in increasing CBT knowledge scores (13.7%) and self-regulation (14.5%). Then, the providing effective interventions reduced the score of social media disruption (19%), the duration of social media use (10%). However, it has not been effective in reducing NTB because there has been an increase in NTB by 4%. And it has not been effective in increasing attitudes in using social media and reducing the number of social media accounts because it is not statistically meaningful. Conclusion: The model as a preventive effort has succeeded in providing its main effect on social media disorders. Recommendation: Make efforts to socialize the "Sehat Bermedia Sosial" model so that it is adopted and applied to universities or other equivalent educational institutions and the implementation of the model can overcome the constraints of limited space, time and geographical constraints as long as internet networks available.