Implementation of an Expert System in Diagnosing Obstetrical Health in Pregnant Women using Fuzzy Algorithms and Certainty Factor

Abstract

The maternal mortality rate (MMR) in Indonesia is still very high and the highest among ASEAN countries. In 1990, the MMR was at a rate of 390 per 100,000 live births, and a survey in 2002-2003 yielded an estimate of 307 per 100,000 live births. However, the analysis concludes that the situation is very concerning for Indonesian women. An expert system is needed to help pregnant women find out quickly the health condition of the womb in pregnant women based on the symptoms that appear. Not only types of disease, this system also informs how to handle pregnant women whose health conditions are problematic. The method used is the fuzzy logic method and the certainly factor method is used to predict the health condition of pregnant women based on age and temperature, then the certainly factor method is used to predict the health of pregnant women based on the symptoms suffered. The results of this study are to make it easier for pregnant women to obtain information about the health of the womb in pregnant women who are suffering, as well as get solutions for handling it and make it easier for pregnant women to diagnose the health of pregnant women. The analysis of the maternal health diagnosis system has provided convenience and can be used as an alternative to diagnose other diseases, because it is able to diagnose accurately according to the symptoms felt, so that it can help make it easier to get accurate diagnostic results.