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All Journal Jurnal Ventilator: Jurnal Riset Ilmu Kesehatan dan Keperawatan Jurnal Insan Pengabdian Indonesia
Hukmiyah Aspar
Institut Ilmu Kesehatan Pelamonia
Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice 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.
Edukasi dan Pendampingan Konsumsi Tablet Tambah Darah pada Remaja Putri sebagai Upaya Pencegahan Dini Anemia di SMP Negeri 29 Makassar Asyima Asyima; Hukmiyah Aspar; Abd. Karim; Ricky Perdana Poetra
Jurnal Insan Pengabdian Indonesia Vol. 4 No. 3 (2026): September : Jurnal Insan Pengabdian Indonesia
Publisher : PT. ALHAFI BERKAH INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62007/jouipi.v4i3.1028

Abstract

Anemia remains a prominent nutritional problem among adolescent girls in Indonesia. A preliminary study at State Junior High School 29 Makassar (n = 80) found that 93.8% of students had poor knowledge about iron tablets and 17.5% were non-adherent to iron tablet consumption, with a significant relationship between knowledge and adherence (p = 0.000). This community service activity aimed to improve knowledge and adherence to iron tablet (TTD) consumption through school-based education and assistance. Methods included interactive lectures, demonstration of correct TTD consumption, formation of "Duta Remaja Sehat" peer cadres, weekly control cards, and four weeks of assistance. Results showed knowledge scores increased from a mean pre-test of 54.6 to 83.8 post-test, with participants in the good category rising from 6.3% to 87.5%; TTD adherence increased from 82.5% to 93.8%. Ten peer cadres were formed, and educational media were handed over for program sustainability. This activity demonstrates that school-based education combined with peer assistance and monitoring cards effectively improves adolescent girls' knowledge and adherence in anemia prevention.
Co-Authors Abd. Karim Asyima Asyima Ikrawanty Ayu Wulandari Masriadi Masriadi Nurasia Natsir Ricky Perdana Poetra Ruqaiyah Ruqaiyah