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All Journal Jurnal Ventilator: Jurnal Riset Ilmu Kesehatan dan Keperawatan
Ruqaiyah Ruqaiyah
Institut Ilmu Kesehatan Pelamonia
Health Professions Nursing Public Health

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Pengembangan Model Prediktif Multilevel untuk Determinan Anemia pada Ibu Hamil Berbasis Big Data Kesehatan Asyima Asyima; Ruqaiyah Ruqaiyah; Masriadi Masriadi; Hukmiyah Aspar; Ikrawanty Ayu Wulandari; Nurasia Natsir
Jurnal Ventilator Vol. 3 No. 3 (2025): Jurnal Ventilator
Publisher : Stikes Kesdam IV/Diponegoro Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59680/ventilator.v3i3.2438

Abstract

Anemia during pregnancy remains a major public health challenge in Indonesia due to its contribution to maternal morbidity, adverse birth outcomes, and neonatal mortality. This study aimed to develop and validate a multilevel predictive model to identify determinants of anemia among pregnant women using healthcare big data collected from primary healthcare centers in South Sulawesi Province. Secondary data were obtained from the national Maternal and Child Health information system, the e-Cohort application, and electronic medical records from 2020 to 2023. The dataset included 12,847 antenatal visits from 4,312 pregnant women across 87 primary healthcare centers. Data analysis employed multilevel logistic regression and machine learning algorithms, including Random Forest and Gradient Boosting. The findings revealed that non-adherence to iron supplementation, chronic energy deficiency, and high parity were the strongest individual determinants of anemia during pregnancy. In addition, higher quality antenatal care programs at the healthcare facility level demonstrated a protective effect against anemia. Intraclass correlation analysis confirmed significant clustering of anemia prevalence at the facility level. Among all predictive approaches, the Gradient Boosting model achieved the highest predictive performance. These findings highlight the importance of integrating individual and contextual healthcare system factors into predictive modeling to support more targeted and effective anemia prevention strategies for pregnant women in Indonesia.
Integrasi Intervensi Gizi, Digital Health, dan Pemberdayaan Komunitas dalam Penurunan Anemia pada Ibu Hamil: Studi Longitudinal Asyima Asyima; Ruqaiyah Ruqaiyah; Masriadi Masriadi; Ummul Khaerat; Nurasia Natsir; Hukmiyah Asfar; Yoan Putri Praditya S
Jurnal Ventilator Vol. 4 No. 1 (2026): Jurnal Ventilator
Publisher : Stikes Kesdam IV/Diponegoro Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59680/ventilator.v4i1.2439

Abstract

Anemia in pregnant women is a significant global health problem with a prevalence of 36.5% in Indonesia, exceeding the WHO threshold of 20%. This condition increases the risk of postpartum hemorrhage, premature birth, low birth weight (BBLR), and maternal and neonatal mortality. The single-intervention approach is considered less effective because the factors that cause anemia are multidimensional. This study aims to analyze the effectiveness of an integrated approach that combines local food-based nutrition interventions, the use of digital health technology, and community empowerment through health cadres in reducing the prevalence of anemia in pregnant women in Makassar City. This study used a quasi-experimental longitudinal design for 12 months involving 240 first-trimester pregnant women who were divided into intervention (n=120) and control (n=120) groups. Variables measured included hemoglobin (Hb) levels, serum ferritin, iron intake, adherence to supplement consumption, and health empowerment scores. Data analysis was carried out using paired t-test, ANCOVA, and multiple linear regression. Results showed that the intervention group experienced a significant increase in Hb levels from 10.2 g/dL to 12.1 g/dL (p<0.001), compared to the control group from 10.3 g/dL to 11.0 g/dL (p=0.032). The prevalence of anemia in the intervention group decreased from 78.3% to 20.0%, while in the control group from 77.5% to 55.0%. Supplement consumption adherence was higher in the intervention group (87.4%) than in the control group (54.2%). The integrated approach has proven to be more effective in reducing the prevalence of anemia in pregnant women and has the potential to be adapted as a national strategy.
Co-Authors Asyima Asyima Hukmiyah Asfar Hukmiyah Aspar Ikrawanty Ayu Wulandari Masriadi Masriadi Nurasia Natsir Ummul Khaerat Yoan Putri Praditya S