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All Journal Journal of Applied Nursing and Health Jurnal Bidan Cerdas
Hidayati, Sofa Nurul
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Biochemistry, Genetics & Molecular Biology Chemistry Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Veterinary

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A Quasi-Experimental Study of Mobile Health Intervention: Measuring the Impact of Android-Based Prenatal Classes on Knowledge and Attitudes of First-Time Mothers in Indonesia Hernawati, Erni; Hassan, Hafizh Che; Nambiar, Nisha; Hidayati, Sofa Nurul
Jurnal Bidan Cerdas Vol. 7 No. 1 (2025)
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jbc.v7i1.4184

Abstract

Introduction: Maternal mortality remains a critical global health challenge, with approximately 287,000 pregnancy-related deaths recorded in 2020 (WHO, 2024). In Indonesia, where maternal healthcare access varies significantly, digital interventions may offer scalable solutions. This quasi-experimental study evaluates the effectiveness of an Android-based prenatal education application in improving knowledge and attitudes among first-time mothers in Cimahi, West Java. By comparing app-based learning with traditional methods, we assess whether mobile technology can help bridge gaps in maternal health education and contribute to safer pregnancy outcomes. Methods: This quasi-experimental study involved 120 first-trimester primigravida women (60 intervention, 60 control) in Cimahi City. The independent variable was the use of an Android-based prenatal education application; dependent variables were maternal knowledge and attitudes. Instruments included a validated 20-item knowledge test and a 10-item attitude Likert scale. Data were analyzed using paired and independent t-tests, as well as SmartPLS path modeling.  Results: In the intervention group, knowledge scores increased from 19.8 ± 2.1 to 34.3 ± 2.0, and attitude scores improved from 8.2 ± 1.2 to 13.3 ± 2.8 (p < 0.001). The control group showed smaller, non-significant changes (knowledge: 19.5 ± 2.2 to 21.5 ± 2.6; attitude: 7.3 ± 1.5 to 8.3 ± 1.6). Post-test differences between groups were statistically significant (p < 0.001). Conclusion: The Android-based prenatal education application significantly enhanced the knowledge and attitudes of first-time pregnant women. These findings support the integration of digital education into routine antenatal care services.
PE-CARE: An Artificial Intelligence (AI)-Based Mobile Health Application to Improve Maternal Knowledge of Early Preeclampsia Detection – A Quasi-Experimental Study Hernawati, Erni; Mutiara, Firsha Ilvany; Hidayati, Sofa Nurul
Jurnal Bidan Cerdas Vol. 7 No. 2 (2025)
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jbc.v7i2.4229

Abstract

Background: Preeclampsia remains a leading cause of maternal mortality worldwide, yet awareness and early detection remain limited in low- and middle-income countries. While artificial intelligence (AI)-based applications have been increasingly utilized in hospital settings, their adoption in Indonesian primary care remains minimal. This study aimed to evaluate the effectiveness of an AI-based mobile health application (PE-CARE) in improving maternal knowledge on early detection of preeclampsia. Methods: A quasi-experimental pretest–posttest control group design was conducted at Puskesmas Parongpong, West Bandung Regency, from February to March 2025. A total of 100 pregnant women (≤20 weeks gestation) were recruited using purposive sampling and assigned equally to the intervention (n=50) and control (n=50) groups. The intervention group used the PE-CARE application for 14 days, while the control group received conventional health education. Knowledge was assessed using a validated 15-item questionnaire. Data were analyzed using paired and independent t-tests, complemented by effect size (Cohen’s d) and 95% confidence intervals. Results: Knowledge scores improved significantly in both groups, with a larger gain in the intervention group (mean difference 28.1; Cohen’s d=3.79, 95% CI 25.7–30.5, p<0.001) compared to the control group (mean difference 11.5; Cohen’s d=1.56, 95% CI 9.3–13.7, p<0.001). Between-group comparison of posttest scores confirmed a significant effect favoring the intervention (mean difference 21.3; Cohen’s d=4.05, 95% CI 18.8–24.8, p<0.001). Conclusion: The PE-CARE application was effective in improving maternal knowledge of preeclampsia in a primary care setting. While these findings demonstrate the potential of AI-based mobile health tools to complement antenatal education, further research is needed to evaluate long-term behavioral and clinical outcomes as well as implementation feasibility in diverse primary care contexts.
Effect of a Local Food–Based Nutrition Intervention Using Moringa oleifera and Arachis hypogaea on Mid–Upper Arm Circumference among Pregnant Women with Chronic Energy Deficiency: A Quasi-Experimental Study Hernawati, Erni; Yulianti, Novita; Hidayati, Sofa Nurul
Journal of Applied Nursing and Health Vol. 8 No. 1 (2026): Journal of Applied Nursing and Health
Publisher : Chakra Brahmanda Lentera Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55018/janh.v8i1.526

Abstract

Background: Chronic energy deficiency (CED) among pregnant women remains a persistent public health problem in low- and middle-income countries, including Indonesia. Various nutrition programs have been implemented; however, evidence on practical, locally based food interventions—particularly those combining moringa leaves and peanuts in ready-to-consume cookie form—remains limited. This study addresses this gap by evaluating a combined local food–based intervention aimed at improving maternal nutritional status. Methods: his study used a quasi-experimental design with a non-randomized control group and a pretest–posttest approach, reported according to the TREND guideline. The sample consisted of 100 pregnant women with chronic energy deficiency recruited through consecutive sampling at a primary healthcare center. Inclusion criteria were gestational age 12–28 weeks and MUAC < 23.5 cm, while women with pregnancy complications, chronic diseases, food allergies, or multiple pregnancies were excluded. MUAC was measured using a standard non-stretchable tape by trained midwives. The intervention group received moringa leaf and peanut cookies daily for two weeks in addition to standard antenatal care, while the control group received standard care only. Data were analyzed using paired and independent t-tests, and effect size was calculated using Cohen’s d. Results: Both groups showed significant improvements in MUAC after the intervention period (p < 0.001). However, the intervention group demonstrated a greater mean increase in MUAC compared with the control group, with a moderate-to-large effect size (Cohen’s d), indicating not only statistical significance but also meaningful clinical improvement. The effect size was moderate-to-large (Cohen's d = 0.65). Conclusion: The findings indicate that a combined local food–based cookie intervention using moringa leaves and peanuts is more effective than standard antenatal care alone in improving MUAC among pregnant women with CED. This approach supports the integration of culturally appropriate, locally available food interventions into primary healthcare nutrition programs, particularly in low-resource settings.
Co-Authors Erni Hernawati Sutisna Hassan, Hafizh Che Hernawati, Erni Mutiara, Firsha Ilvany Nambiar, Nisha Yulianti, Novita