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All Journal Poltekita : Jurnal Ilmu Kesehatan Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Journal of Midwifery Science and Women's Health (JMSWH) Journal of Health and Nutrition Research
Hidayanti Arifuddin
Department Of Midwifery, Poltekkes Kemenkes Jakarta 1, Indonesia
Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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Effectiveness of a Modified Pregnancy Support Belt in Reducing Back and Pelvic Pain in Pregnant Women: A Quasi-Experimental Study in South Jakarta Paisal, Fitrah Ivana; Arifuddin, Hidayanti; Arieska, Risa; Rasumawati, Rasumawati; Vitania, Wiwit; Arifuddin, Adhar
Journal of Health and Nutrition Research Vol. 4 No. 3 (2025)
Publisher : Media Publikasi Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56303/jhnresearch.v4i3.666

Abstract

Lower back and pelvic pain are common complaints among pregnant women, particularly in the third trimester, due to physiological and hormonal changes. These discomforts significantly impact daily functioning and quality of life. To evaluate the effectiveness of a modified pregnancy support belt in reducing lower back and pelvic pain among pregnant women in the South Jakarta area. This quasi-experimental study involved 60 pregnant women in their third trimester, divided into two groups: an intervention group and a control group. The intervention group used the modified pregnancy support belt, while the control group used a standard pregnancy belt. Pain levels were measured before and after the intervention using the Visual Analogue Scale (VAS). Sociodemographic characteristics, including age, education, occupation, and parity, were also analyzed. Most respondents were aged 20–35 years, housewives, and high school graduates. The mean reduction in VAS scores was 3.1 (95% CI: 2.6–3.6) in the intervention group compared to 2.3 (95% CI: 1.5–3.1) in the control group. Back and pelvic pain were associated with a measurable decrease post-intervention (p < 0.05). The use of a modified pregnancy support belt demonstrated a greater reduction in lower back and pelvic pain compared to a standard belt. Supportive belts should be considered as a non-pharmacological intervention to enhance maternal comfort and well-being during pregnancy.
Trends and Innovations in Stunting Prediction Using Machine Learning: A Bibliometric Analysis of Scopus Literature (2019-2024) A Fahira Nur; Adhar Arifuddin; Rosa Dwi Wahyuni; Hidayanti Arifuddin
Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Vol. 12 No. 2 (2026)
Publisher : Faculty of Medicine, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/ysxf4x45

Abstract

Background: Stunting is a global malnutrition issue affecting children's development worldwide. Machine learning (ML) has been applied to predict stunting; however, studies on international collaboration and ML application across various geographical contexts remain limited. Objective: This study aims to analyze publication trends and collaboration patterns in stunting prediction research using machine learning and identify the most relevant ML methods. Methods: A bibliometric analysis was conducted using the Scopus database, focusing on publications from 2019 to 2024. The data were analyzed through descriptive statistics and science mapping, including trend topics, co-occurrence networks, and international collaboration analysis. Results: The study found that regression-based algorithms and deep learning are the most widely used machine learning methods for stunting prediction. International collaborations between countries with high stunting prevalence, such as Indonesia, Bangladesh, and Ethiopia, were also identified. Conclusion: This study highlights the importance of developing locally tailored predictive models and strengthening international collaboration to improve the effectiveness of stunting prediction models. Cross-sector and interdisciplinary collaborations are also essential for more holistic solutions.
Co-Authors A Fahira Nur A Fahira Nur Abd Rahman Adhar Arifuddin Andi Nilawati Usman Anjani, Wulan Ari Setiawan Arieska, Risa Arifuddin, Hikmayanti Arismunandar Arismunandar Farid Husin Indah Maryama, Indah Indrayani, Diyan Mardiana Ahmad Marlina, Endah Dian Martira Maddeppungeng Munir, Ardi Nur Eka Dyastuti Paisal, Fitrah Ivana Rasumawati, Rasumawati Rosa Dwi Wahyuni Rosa Dwi Wahyuni Siti Rochmiyati Suryani As&#039;ad Tri Setiawati Vidyanto, Vidyanto Wiwit Vitania Yuli Prihatni Yulianti, Nur Dwi Yuniartis, Putri