Prachinta, Wella Wineke (2024) Klasifikasi Status Kehamilan Berisiko Menggunakan Metode K-nearest Neighbor. Other thesis, Universitas Islam Riau.

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Abstract

Reducing the Maternal Mortality Rate (MMR) is still a global concern and is also a target set by the Millennium Development Goals (MDGs) in 1990-2015, the MMR in Indonesia was 359/100.000 live births. MMR can be caused by many things, one of which is when experiencing a high-risk pregnancy. The aim of this research is to determine the status of risky pregnancies to help reduce MMR in Indonesia. With 8 (eight) variables used, namely, maternal age, maternal body temperature, systolic and diastolic blood pressure, heart rate, body mass index (BMI), blood sugar HbA1c, and blood sugar when fasting. This research uses the k-nearest neighbor method with k-fold cross validation testing to obtain the optimal k value, namely, 1 with an accuracy using 5 folds of 93% and a system accuracy of 93,53%. Therefore, the k-nearest neighbor method can be a solution to determine the status of a pregnancy at risk.

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