Many people utilize social media to interact, including students who are the most technologically literate. Apart from having a positive impact on its users, social media also has a negative impact. One of the negative impacts of social media is the increased risk of personal data security. The purpose of this study is to analyze the level of awareness of students in Yogyakarta regarding the protection of personal data on social media. The method used is mixed method, surveys were distributed to respondents, namely students from various schools in Yogyakarta. Researchers also conducted interviews with 15 participants to get a more in-depth picture. This research examines the level of understanding and awareness of students in Yogyakarta regarding how they understand data sharing behavior, privacy settings and their perceptions of threats or risks in cyberspace. The results showed that the majority of students have a high level of awareness regarding basic privacy measures, but they also have a poor understanding of the threats and risks associated with sharing personal data.The majority of students rarely update their privacy settings. They only use the default settings built into social media. The implication of the study is the need to integrate digital literacy programs that focus on data security and privacy into the school curriculum. The conclusion is that there is awareness among students regarding the importance of protecting personal data, but more efforts are needed to improve students' knowledge in digital privacy management. Further research is needed to assess the long-term impact of educational interventions on privacy-conscious behavior in the digital world.

Computer Vision Syndrome  (CVS) encompasses a constellation of ocular and extraocular symptoms in digital devices users who either habitually or compulsively use digital devices for long periods of time. Digital devices emit blue light (400-490 nm) and generate electromagnetic fields, both of which interfere with the circadian rhythms. This study aims to determine the association between CVS and sleep quality of nursing students. The type of research was observational analytics with a cross-sectional approach and conduct proportionate stratified random sampling. CVS was measured by using CVS-Q, while sleep quality was measured by using PSQI. The analysis used univariate analysis to see the frequency distribution and bivariate used Chi-Square. The result of the data analysis showed that 68,4% of the nursing students experienced CVS. The number of respondents who experienced poor sleep quality was 151 (63.7%). Poor sleep quality was present in 71% of individuals with CVS and 48% of students without CVS. The difference was statistically significant (p=0.001) with OR=2,651. CVS is significantly associated with sleep quality in nurse students. Therefore, it is necessary to apply appropriate behaviors and attitudes to use digital devices and prevent CVS from occurring so that the individual's sleep quality becomes better.