Prediksi Tingkat Resiko Kesehatan Ibu Saat Hamil Menggunakan Algoritma C4.5


  • Muhammad Zidan Universitas Trilogi


Data Mining, Pregnancy, Prediction, C4.5


Since the World Health Organization established its commission on the social determinants of health (SDOH) more than a decade ago, a large number of studies have shown that social determinants defined as the conditions in which people are born, grow up, live, work, and age are significant drivers of risk. and disease susceptibility in clinical care and public health systems. Pregnancy is a special time when biological changes may make you more sensitive to chemical exposure. Pregnant women are exposed to a variety of environmental toxins, including flame retardants, plasticizers and poisons, through air, food, air and consumer goods. Although most of the health hazards of chemicals for women are poorly understood, exposure to lead increases the possibility of hypertension problems due to pregnancy. The results of the study showed an accuracy rate of 67.36%. With a class precision high risk of 86.61% and a class precision low risk of 58.35%. Class recall for high risk is 80.88% and class recall for low risk is 99.01%. From the results of research that has been conducted by researchers, it can be concluded. The level of maternal health risk during pregnancy can be predicted by utilizing data mining techniques using the C4.5 algorithm.


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How to Cite

Zidan, M. (2023). Prediksi Tingkat Resiko Kesehatan Ibu Saat Hamil Menggunakan Algoritma C4.5. JURNAL INDUSTRI KREATIF DAN INFORMATIKA SERIES (JIKIS), 3(1). Retrieved from