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All Journal VIVID Journal of Language and Literature MEDISAINS Majalah Obstetri dan Ginekologi Public Health of Indonesia Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen JURNAL PENDIDIKAN GLASSER Jurnal Kesehatan Manarang Puitika Diklat Review : Jurnal manajemen pendidikan dan pelatihan Vygotsky: Jurnal Pendidikan Matematika dan Matematika JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan BIO-EDU: Jurnal Pendidikan Biologi Jurnal Pengabdian Masyarakat (ABDIRA) JUKESHUM: Jurnal Pengabdian Masyarakat Jurnal EduHealth Jurnal Abmas Negeri (JAGRI) Andalas International Journal of Socio-Humanities (AIJOSH) Sinomika Journal: Publikasi Ilmiah Bidang Ekonomi dan Akuntansi Miracle Journal Jurnal Gramaswara: Jurnal Pengabdian kepada Masyarakat International Journal of Public Health Excellence (IJPHE) Modality Journal: International Journal of Linguistics and Literature Jurnal Pengabdian Masyarakat Bhinneka Jurnal Pemberdayaan Umat OMEGA: Jurnal Keilmuan Pendidikan Matematika Science And Education Journal (SNEJ) Jurnal Research Ilmu Pertanian Biodik: Jurnal Ilmiah Pendidikan Biologi Indonesian Journal of Islamic Law (IJIL)
Handayani, Rika
Department Of Literature And Culture, Faculty Of Humanities, Universitas Andalas
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Journal : International Journal of Public Health Excellence (IJPHE)

 1 
Predicting the Risk of Premature Birth Using Naive Bayes Based on Maternal Health Data at Rantauprapat Regional Hospital Adawiyah, Quratih; Handayani, Rika; Nadrah, Nailatun; Nasution, Fitriyani; Ramadani, Putri
International Journal of Public Health Excellence (IJPHE) Vol. 4 No. 2 (2025): January-May
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v4i2.1112

Abstract

Premature birth is one of the leading causes of infant mortality and complications. Early identification of pregnant women at risk of premature delivery is crucial for appropriate management. This study aims to develop a predictive model for premature birth risk using the Naïve Bayes method based on maternal health data from RSUD Rantauprapat. The data used includes variables such as mother's age, nutritional status, blood pressure, and history of premature birth. The study applies Naïve Bayes to predict the classes of premature birth risk, namely "Premature" and "Not Premature", with data divided into 70% for training and 30% for testing. The results show that the Naïve Bayes model achieved an accuracy of 78.33% in predicting premature birth risk. Additionally, the model shows precision of 89.29%, recall of 83.33%, and F1-score of 86.1%, indicating good performance in detecting pregnant women at risk of premature birth. Comparison with other models, such as Logistic Regression and Decision Tree, demonstrates that Naïve Bayes provides the best results in terms of accuracy and balance between precision and recall. This study shows that Naïve Bayes can be an effective tool for early detection of premature birth and can be implemented in medical decision-making systems at hospitals to improve the management of high-risk pregnant women. The results of this study can serve as a foundation for further research that develops predictive models by adding features or other algorithms.
Co-Authors Adawiyah, Quratih afandi, iswan Ahmad Luthfi Ahsan, Zulkaidah Nur Alanti Alanti, Alanti Alwi, Muhammad Khidri Amiruddin Amrulloh, Mohamad Fajar Farid Andriani Anjelita, Rina Okselya Anwar Ramli Asdi Agustar Askur Rahman Aulia , Dini Balumbi, Musthamin Bambang Sutrisno Chrisinta, Debora Damanik, Adelia Septia Damayanti, Tariska Eka Delvi Wahyuni Dornic, Novica Jolyarni Eka Lestari Fachriani, Ayu Farid Amrulloh, Mohamad Fajar Fitriani Fitriani Fitriani Fitrianingsih, Julia Hasanady, Qatrunnada Viranda Herman, Sriyana Hernur Yoga Priyambodo Hijriani, Lailin Inggil, Nafis Sulthan Isa Indrawan, Muhammad Jolyarni D, Novica Jolyarni D Jolyarni Dornic, Novica Jumrah Jumrah Layla, Alia Nur Leni Marlina Lestari Siahaan, Meiva Marthaulina Lili Darlian, Lili Manalu, Adelya I Martius, Endry Marzila, Mariani Masitoh W, Endang Muhammad Amran Shidik Nailatun Nadrah Naimnule, Maria Nasution, Fitriyani Prasasti, Agustin Oldri Prianti, Ani T R. Rusli Rahawarat, Marwia Ramadani, Putri Resty Maudina Septiani Ritma, Ritma Rosada, Ida ru, Rusli Rusli Senduk, Rahmawati Siahaan, Meiva Marthaulina Lestari Suhartono, Sunartono Suhendro Suhendro Syamsuriati Syamsuriyati, Syamsuriyati Syarif, Sutrani Syarif, Sutriani Syarifah, Laylatus Tika Tri Yolanda Triananinsi, Nurhidayat Tussolihin Dalimunthe, Khodijah Veithzal Rivai Zainal Widodo Widodo Wilma Wilma, Wilma Wua Laja, Yosepha Patricia Yohanes Jefrianus Kehi Yulianti, Nila Trisna Yusriani, Yusriani