Smoking behavior can be classified as the cause of danger deaseas, both for smokers and for others around them. Smoking is shown to be associated with 25 types of disease that is deadly dangerous, such as lung cancer and coronary heart disease. Every year, deaths caused by smoking increas, but the number of smokers also increases. However, the beginning of a person's age smoking is getting younger. Teenagers reach a high figure as the beginning of a person's age smoking. The reasons for teenagers to smoke tend to be psychosocial. Researcher wants to know what factors play a role in smoking behavior in adolescents. The research method used is descriptive research, that aims to obtain an overview of the factors that play a role in smoking behavior in adolescents. The characteristics of samples: 11-18 years old, still smoking at the time of data retrieval. A measuring tool used is based on the concept of adolescent development from Hurlock. Obtained result is the most instrumental factor is the environment or context of the adolescent. 48% of respondents stating that, with 24% seeing friends smoke, 10.7% see the smoking behavior of parents (father) and 6.6% see the smoking behavior of siblings. Second is the teenagers’ desire to know the taste of cigarettes (28%). Then 13.3% of respondents said the affective factor of cigarette smoking plays a role in their behavior. Next is a factor of image formation (10.7%), with 8% of respondents who felt a mature image and show maturity by smoking. At the age of early adolescence (11-15 years) who were most responsible factor is to know the taste of cigarettes while in the middle adolescents (15-18 years) the most dominant factor is to see a friend smoking.
The purpose of this study was to determine the effect of self-regulation to the adjustment. Measurement variable adjustment using a measuring instrument Student Adaptation to College Questionnaire (SACQ) and to the measurement of self-regulation variables using a measuring instrument ie Adolescent Self-Regulatory Inventory (ASRI). Data processing method used in this research is the method of regression analysis. The results of the research conducted is when the adjustment (Y) increases one unit, then the self-regulation variable (X) will be in increments of 0.82. It is concluded that there are positive influence of self-regulation to the adjustment. Variable self-regulation affects adjustment of 10% and the rest influenced by other factors outside of self-regulation.
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