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All Journal Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education Journal of Robotics and Control (JRC)
Farhah Kamilah
Universitas Muhammadiyah Yogyakarta
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Health Professions Mechanical Engineering

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Marriage Experience from the Girl’s Perspective: A Scoping Review Farhah Kamilah; Elyse Maria Rosa
Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education Vol. 9 No. 2 (2021): Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jpk.V9.I2.2021.186-194

Abstract

Background: Child marriage is a marriage that is conducted formally or informally by spouses or with one of the spouses aged 18. Child marriage is a phenomenon that involves socio-cultural elements thus many factors influence it. Girls are 3 times more likely to experience child marriage than boys. Various conditions that occur in child marriage have generated interest in seeing a broader view of how married girls view their married life. Objective: This review was conducted to explore research findings related to the experiences of girls who were married under 18 years of age so that it could be used as an illustration to see the condition of girls in child marriage life. Methods: This review used three databases PubMed, ProQuest, and EbscoHost. The search for articles used main keywords, namely "child marriage", "women experience", and "marriage life" combined with helper keywords. The articles were full-text, in English, not limited by year and country, and discussed child marriage from a woman's perspective. Results: This review was done on 10 articles that were screened and analyzed out of 2259 articles. All articles used a qualitative method and were originated from Malaysia (2 articles), Pakistan (2 articles), Iran (2 articles), United States, Morocco, Jordan, and Israel. The total participants were 187 people from all articles. The causes of marriage in girls were poverty, prevention of premarital sex, adolescent pregnancy solutions, and personal desires of the girls. The state of marriage was seen from self-actualization and pressures on the role of girls in married life. Conclusion: This review summarized the reasons for marriage before the age of 18 were due to poverty factors, the avoidance of premarital sex, teenage pregnancy solutions and the willingness of girls themselves to marry. This review also summarized the situation of girls in child marriages who were unable to be self-reliant and were under pressure to perform their position in the household. Child marriage also caused new issues in the lives of girls, hence it was necessary to consider getting married at the age of under 18 years.
Urinary Tract Infection Bacteria Classification: Artificial Intelligence-based Medical Application Abdul Fadlil; Haris Imam Karim Fathurrahman; Yu-Hao Lin; Farhah Kamilah; Sunardi Sunardi
Journal of Robotics and Control (JRC) Vol 4, No 5 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i5.18879

Abstract

Urinary tract infection (UTI) is a type of health disorder, an infection in the urinary glands mainly caused by bacteria. Currently, conventional early detection methods that have been established involve rapid dipstick strip test and urine culture analysis, which have suboptimal accuracy and effectiveness. Several retrospective studies regarding UTI bacteria classification have shown promising results, but still have limitations regarding prediction accuracy and technical simplicity. This study aims to implement a method based on artificial intelligence (AI) in classifying images of bacteria that causes UTIs. Eight artificial intelligence methods based on deep neural networks were used in the study; the models were evaluated and compared based on the prediction's effectiveness and accuracy. This study also seeks to create the easiest method of classifying bacteria causing UTIs using a computer-based application with the best obtained AI-based model. The best training results using an intelligent approach placed DenseNet201 as the method with the highest accuracy (83.99%). Then, the output model was used as a knowledge reference for the designed computer-based application. Real-time prediction results will appear in the application window.
Co-Authors Abdul Fadlil Elyse Maria Rosa Fathurrahman, Haris Imam Karim Sunardi, Sunardi Yu-Hao Lin