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INDONESIA
Journal of Maternal and Child Health
Published by Universitas Sebelas Maret
ISSN : -     EISSN : 25490257     DOI : -
Core Subject : Health,
Medicine & Pharmacology Public Health
Journal of Maternal and Child Health (JMCH) is an electronic, open-access, double-blind and peer-reviewed international journal, focusing on maternal and child health. The journal began its publication on July 11, 2015, and is published four times yearly. JMCH aims to improve the policy, program, service, and practice, as they impact infant, children, mother, women, adolescent, and family health.
Arjuna Subject : -
Articles 12 Documents
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Search results for , issue "Vol. 9 No. 3 (2024)" : 12 Documents clear
Development of A Detection Tool in Pregnant Women and Its Recommendations in Utilizing Artificial Intelligence Oktaviani, Nur Hilda; Widyawati, Melyana Nurul; Kurnianingsih, Kurnianingsih
Journal of Maternal and Child Health Vol. 9 No. 3 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejmch.2024.09.03.11

Abstract

Background: Chronic Energy Deficiency (CED) can be experienced by women of reproductive age (WUS) aged 15–45 years old since adolescence then continues during pregnancy and breastfeeding due to low energy and nutrient reserves. Health technology innovation that utilizes artificial intelligence, i.e. Digital mid-uppr arm circumference (MUAC) which is a digital measurement tool that can make it easier to read anthropometric measurement results, especially in measuring upper arm circumference to detect pregnant women who experience CED. Subjects and Method: This was a Research and Development with a pre-experimental design with an on shot case study. The number of samples is 100 Subjects, which is done 3 times each month for 3 months. The sample was selected by purposive sample. The analysis used artificial intelligence. Results: Digital MUAC level of accuracy in detecting CED in pregnant women and its recommendations that utilize artificial intelligence, an accuracy level of 100%. Conclusion: The CED detection tool Digital MUAC, is a tool capable of detecting CED and providing recommendations based on the results of CED detection in pregnant women who utilize artificial intelligence by having accurate measurement results with an accuracy value of 100%.
Effects of Family Income and Maternal Education on the Risk of Low Birth Weight Maryana, Dyan; Murti, Bhisma; Pamungkasari, Eti Poncorini
Journal of Maternal and Child Health Vol. 9 No. 3 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejmch.2024.09.03.10

Abstract

Background: LBW babies are still a problem, especially in developing countries. Family income and maternal education are factors that influence health service outcomes, including preventing low birth weight babies. The aim of this study was to analyze the influence of family income and maternal education on the risk of low birth weight babies. Subject and Methods: Observational analytical research design with a cross sectional approach. The sampling technique is random sampling. The research was conducted in Blora Regency, Central Java with a sample size of 200 mothers with newborn babies. The dependent variable is low birth weight. The independent variables consist of exposure to cigarette smoke, maternal age, family income, pos pelayanan terpadu strata and maternal education. The study instrument used was a questionnaire. Data were analyzed using path analysis with STATA 13. Result: The results of the path analysis explain that the risk of low birth weight babies is directly influenced by family income and this influence is statistically significant. Pregnant women with high family income have a risk of giving birth to babies with low birth weight 0.5 times compared to low family income (OR= 0.52; 95% CI= 0.27 to 1.00; p= 0.050). There was no significant effect of pos pelayanan terpadu strata or exposure to cigarette smoke on the risk of babies with low birth weight (LBW). Family income is influenced by the mother's education and this influence is statistically significant. The higher the mother's education, the higher the family income (OR= 2.35; 95% CI= 1.32 to 4.21; p = 0.004). There is a relationship between maternal age and maternal education and this relationship is statistically significant. Older mothers on average had lower education (OR= 0.43; 95% CI= 0.24 to 0.77; p = 0.004). Conclusion: There is a direct influence between family income, pos pelayanan terpadu strata and exposure to cigarette smoke on the risk of LBW babies. There is an indirect effect between maternal education on family income, and maternal age on maternal education.

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