Expert System for Diagnosing Diseases of Pregnant Women Using Forward Chaining and Certainty Factor

Abstract

Pregnancy is a function of a normal body capacity and part of a woman's lifetime, where at that stage there is another life in the mother's body as a fetus that will develop into a child. During this period, pregnant women generally experience various kinds of pregnancy problems, both mild and severe. This study aims to educate the public in understanding the importance of knowing the condition of pregnancy, especially at the beginning of pregnancy which is the most vulnerable experienced by the community. Not only that, the risk of maternal and child mortality is also higher because of the delay in decision-making. Therefore, it is necessary to develop IT-based consulting in the form of system experts. The system is built using forward chaining and Certainty Factor methods. Forward chaining is used to determine disease in pregnant women based on symptoms to determine conclusions. Certainty factor works by reading all the data submitted by experts and giving results in the form of a percentage of the confidence of pregnant women who know the disease. The experts used in this system are midwives who have experience with obstetrics. The data obtained from direct experts and the results of the consultation gained new knowledge in the form of a presentation of the confidence level of pregnant women suffering from the disease. The disease data obtained were Ectropic Pregnancy, Abortion, Hydatidosa Mola (Grape Pregnancy), Placenta Previa, Placental Solution, Preeclampsia, and Urinary Tract Infection (UTI) as well as symptoms and solutions obtained from experts. This research contributes to a new service for patients who experience pregnancy without having to come directly to an appointed specialist and is expected to reduce mom and baby’s mortality