Young women who have menstruation may experience premenstrual syndrome (PMS) which will affect their quality of life. Premenstrual syndrome experienced can be bad for adolescents if not treated early. Therefore, teenagers are expected to be able to manage themselves as well as possible to avoid these problems. The purpose of this study was to determine the relationship between physical activity and sleep quality with the incidence of Premenstrual Syndrome (PMS). This research is an observational analytical study that is cross-sectional. Sampling using the slovin sample size formula, the sample was taken with a simple random sampling technique with a sample size of at least 39. The independent variables are physical activity and sleep quality, while the dependent variables are the incidence of Premenstrual syndrome (PMS). Data collection used the International Physical Activity Questionnaire (IPAQ), Pittsburgh Sleep Quality Index (PSQI), and The Shortened Premenstrual Assessment From (SPAF). To analyze the relationship, a spearman rank test with a meaningfulness level or error limit is used, namely p≤0.05.  The results showed that most female students had moderate physical activity as many as 33 female students. Then it can be known that most experienced moderate sleep quality as many as 17 female college students. The results of the Spearman test ranked the relationship between physical activity and Premenstrual Syndrome p value = 0.326 so that Ho was accepted and the relationship of sleep quality with Premenstrual Syndrome p value = 0.044, so Ho was rejected. Based on the description above, it can be concluded that there is no significant relationship between physical activity and premenstrual syndrome but there is a significant relationship between sleep quality and premenstrual syndrome in level 3 female students of the Diii Obstetrics Study Program, Magetan Campus. It is hoped that female students can increase their knowledge in managing themselves from an early age so that Premenstrual Syndrome (PMS) does not occur.

The last few years have seen the increasingly young age of menarche in teenagers. The average age of the national menarche from year to year is declining. The more children experience early menarche, the greater the risk of negative implications such as lack of personal hygiene, breast cancer, and early pregnancy. Menarche's age is influenced by nutritional, economic, pornographic, and genetic status. The purpose of this study was to determine the factors that affect menarche in adolescents aged 10-12 years. The research conducted is descriptive-analytic with a cross-sectional design. The population of MIN 3 Magetan students aged 10-12 years who have menstruated and have met the inclusion and exclusion criteria. The study sample was 87 respondents with a purposive sampling technique. Data collection using questionnaires. Statistical calculations are carried out by statistical and descriptive analysis with binary logistic regression tests. The average age of menarche is 11 years with the youngest age being 9 years and the oldest at 12 years, most female students experience early menarche (65.5%). There is an effect of nutritional status on menarche (p =0.048, Exp (B)= 4.3), there is an economic influence on menarche (p=0.000, Exp (B)= 11.3), there is an influence of pornographic exposure on menarche (p=0.001, Exp (B)= 12.1), and there is no genetic or age influence maternal menarche against menarche (0.388). Nutritional status, economic status, and exposure to pornographic media increase the incidence of early menarche. The highest risk factors for exposure to pornography resulted in  12.1 times the incidence of early menarche, economic status by 11.3 times, and nutritional status by 4.2 times. Strict supervision of mass media access and maintaining nutritional intake are necessary to prevent early menarche.