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All Journal Jurnal Nasional Teknologi Informasi dan Aplikasinya
Nurtiani, Ni Made Novia
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Computer Science & IT

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Penerapan K-Means Clustering Pada Klasifikasi Risiko Kesehatan Ibu Hamil Nurtiani, Ni Made Novia; Astawa, I Gede Santi
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

The health condition of pregnant women greatly affects the growth and development of the fetus in the womb. There are many cases of maternal and infant deaths that occur in the world. Both caused by the condition of the mother's health during pregnancy and after childbirth. Several factors affect the health condition of pregnant women, namely age, blood pressure, blood sugar levels in the body of pregnant women, body temperature of pregnant women. This study will apply the K-Means method to classify the health risks of pregnant women. The author will also use the Elbow method to find the right cluster to classify.
Co-Authors I Gede Santi Astawa