ABSTRACT
THE RELATIONSHIP
BETWEEN INTERNET ADDICTION AND SLEEPING QUALITY
WITH EMOTIONAL INTELLIGENCE
OF SMA NEGERI 1 SEMIN STUDENTS IN GUNUNGKIDUL REGENCY
Rosy Syajarotudduroh, Erna Herawati
Fakultas Kedokteran Universitas Muhammadiyah Surakarta
Background: A study states that students with excessive internet addiction will affect their psychological well-being to be low. Many teenagers are less able to control the Internet use, such as the teenagers who post negative things, emotionally and or without any consideration. However, such behavior indicates a low emotional intelligence. Furthermore, lack of sleep can also affect the mood, irritability, which affects the emotional intelligence.
Objective: To analyze the relationship between internet addiction level and sleeping quality with the emotional intelligence of SMA Negeri 1 Semin students in Gunungkidul Regency.
Method: This research used an analytic-observational research design with a cross-sectional approach. The research was conducted in SMA Negeri 1 Semin in January 2018 with 60 students as the respondents which result are taken with purposive sampling technique. The research used Pearson method and linear regression with SPSS version 20.0 for windows.
Result: Based on the linear regression test, it obtains a correlation value (r) 0.233 and p value 0.002 <0.05 of the addiction level with the students’ emotional intelligence who are an internet users in SMA Negeri 1 Semin and the correlation value of (r) 0.604 and p 0.000 <0.05 between the sleeping quality and students’ emotional intelligence who are an internet users in SMA Negeri 1 Semin.
Conclusion: It can be concluded that there is a significant weak negative relationship between the level of internet addiction with the emotional intelligence and the significant medium negative relationship between the sleeping quality with the emotional intelligence. Therefore, the sleeping quality is more dominant in affecting the emotional intelligence.
Keywords: Internet addiction, sleeping quality, emotional intelligenc
