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All Journal Indonesian Journal of Medicine JURNAL MUTIARA KESEHATAN MASYARAKAT Jurnal Keperawatan Priority Jurnal Kesehatan Masyarakat dan Lingkungan Hidup JURNAL ILMIAH SIMANTEK Jurnal Gentle Birth JUKESHUM: Jurnal Pengabdian Masyarakat Miracle Journal International Journal of Public Health Excellence (IJPHE) International Journal of Health, Engineering and Technology Sevaka: Hasil Kegiatan Layanan Masyarakat
Nailatun Nadrah
Institut Teknologi Dan Kesehatan Ika Bina
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Journal : International Journal of Public Health Excellence (IJPHE)

 1 
Factors Related to Premenstrual Syndrome in Young Women at MTsN Labuhanbatu in 2024 Jolyarni, Novica; Nadrah, Nailatun; Nasution, Fitriyani
International Journal of Public Health Excellence (IJPHE) Vol. 4 No. 1 (2024): June-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v4i1.1011

Abstract

Premenstrual syndrome (PMS) is a complex and poorly understood condition consisting of one or more of a number of physical and psychological symptoms that begin in the luteal phase of the menstrual cycle. World Health Organization (WHO) in 2020 PMS has a higher prevalence in Asian countries compared to western countries. The purpose of this study was to determine the factors associated with Premenstrual syndrome in adolescent girls at MTsN 1 Labuhanbatu in 2024. This research design uses an analytic survey, namely research trying to explore how and why the phenomenon occurs. Then analyze the dynamics of the correlation between phenomena, both between related factors (Indipendent) and effect factors (Dependent). The approach used in this research is cross sectional. The population in this study was 291 people. The sample in this study amounted to 74 people. Data analysis used univariate analysis and bivariate analysis using the chi-square test. The results of statistical tests with stress categories obtained using the chi-square test at a confidence level of 95% are known that psig 0.000 is smaller than 0.05, the results of chi-square tests with consumption patterns at a confidence level of 95% are known that psig 0.000 is smaller than 0.05, the results of statistical tests with premenstrual syndrome incidence obtained using the chi-square test at a confidence level of 95% are known that psig 0.000 is smaller than 0.05. In conclusion, it is known that there is a relationship between stress, consumption patterns and exercise with the incidence of premenstrual syndrome in adolescent girls at MTsN 1 Labuhanbatu in 2024. It is suggested that the results of this study can add insight, knowledge and experience about premenstrual syndrome that can occur at any time.
Predicting the Risk of Premature Birth Using Naive Bayes Based on Maternal Health Data at Rantauprapat Regional Hospital Adawiyah, Quratih; Handayani, Rika; Nadrah, Nailatun; Nasution, Fitriyani; Ramadani, Putri
International Journal of Public Health Excellence (IJPHE) Vol. 4 No. 2 (2025): January-May
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v4i2.1112

Abstract

Premature birth is one of the leading causes of infant mortality and complications. Early identification of pregnant women at risk of premature delivery is crucial for appropriate management. This study aims to develop a predictive model for premature birth risk using the Naïve Bayes method based on maternal health data from RSUD Rantauprapat. The data used includes variables such as mother's age, nutritional status, blood pressure, and history of premature birth. The study applies Naïve Bayes to predict the classes of premature birth risk, namely "Premature" and "Not Premature", with data divided into 70% for training and 30% for testing. The results show that the Naïve Bayes model achieved an accuracy of 78.33% in predicting premature birth risk. Additionally, the model shows precision of 89.29%, recall of 83.33%, and F1-score of 86.1%, indicating good performance in detecting pregnant women at risk of premature birth. Comparison with other models, such as Logistic Regression and Decision Tree, demonstrates that Naïve Bayes provides the best results in terms of accuracy and balance between precision and recall. This study shows that Naïve Bayes can be an effective tool for early detection of premature birth and can be implemented in medical decision-making systems at hospitals to improve the management of high-risk pregnant women. The results of this study can serve as a foundation for further research that develops predictive models by adding features or other algorithms.
Factors Related to Premenstrual Syndrome in Young Women at MTsN Labuhanbatu in 2024 Jolyarni, Novica; Nadrah, Nailatun; Nasution, Fitriyani
International Journal of Public Health Excellence (IJPHE) Vol. 4 No. 1 (2024): June-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v4i1.1011

Abstract

Premenstrual syndrome (PMS) is a complex and poorly understood condition consisting of one or more of a number of physical and psychological symptoms that begin in the luteal phase of the menstrual cycle. World Health Organization (WHO) in 2020 PMS has a higher prevalence in Asian countries compared to western countries. The purpose of this study was to determine the factors associated with Premenstrual syndrome in adolescent girls at MTsN 1 Labuhanbatu in 2024. This research design uses an analytic survey, namely research trying to explore how and why the phenomenon occurs. Then analyze the dynamics of the correlation between phenomena, both between related factors (Indipendent) and effect factors (Dependent). The approach used in this research is cross sectional. The population in this study was 291 people. The sample in this study amounted to 74 people. Data analysis used univariate analysis and bivariate analysis using the chi-square test. The results of statistical tests with stress categories obtained using the chi-square test at a confidence level of 95% are known that psig 0.000 is smaller than 0.05, the results of chi-square tests with consumption patterns at a confidence level of 95% are known that psig 0.000 is smaller than 0.05, the results of statistical tests with premenstrual syndrome incidence obtained using the chi-square test at a confidence level of 95% are known that psig 0.000 is smaller than 0.05. In conclusion, it is known that there is a relationship between stress, consumption patterns and exercise with the incidence of premenstrual syndrome in adolescent girls at MTsN 1 Labuhanbatu in 2024. It is suggested that the results of this study can add insight, knowledge and experience about premenstrual syndrome that can occur at any time.
Co-Authors Adawiyah, Quratih Aswin Syahputra Baginda Restu Al Ghazali Dornic, Novica Jolyarni Eka Ramadhani Putra Fahruzi Sirait Fatwiany Fatwiany Fatwiany Fatwiany Fitriyani Nasution Gerry Silaban Hafizhah Mardivta Handayani, Rika Jolyarni D, Novica Jolyarni D Jolyarni Dornic, Novica jolyarni, novica Juni Purwanto Lina Sartika Nadya Fitriyani Nana Erika Nasution, Fitriyani novica jolyarni Novica Jolyarni D Quratih Adawiyah Ramada Sandi Ramadani, Putri Rika Handayani Rika Handayani Rindi Fadila Riyan Agus Faisal SRI WULANDARI Taufik Ashar Tussolihin Dalimunthe, Khodijah Yusril Iza Mahendra Hasibuan