Expert System for Diagnosing Torch Disease in Pregnant Women with Certainty Factor and Fuzzy Logic Methods

Abstract

TORCH disease is a group of infections of several types of viruses, namely Toxoplasma, Rubella, Cytomegalovirus and Herpes. The main causes of torch viruses and parasites are animals around us such as chickens, cats, birds, mice, pigeons and others. Toxoplasma, Rubella, Cytomegalovirus and Herpes can cause damage to fertility in pregnant women. The egg and cell nucleus in pregnant women are damaged by the virus then the egg shrinks, causing the formation of myomas, blockages or tightening, so that the egg cannot be fertilized and makes it difficult to conceive. Therefore, it is very important to have an early diagnosis so that prevention or treatment can be carried out earlier. The diagnosis process can be done directly to the doctor or midwife, but there are often problems such as: limited time, physical conditions that do not allow you to leave home, financial problems, limited doctors or midwives and others. To make it easier for the public to recognize Torch problems in pregnant women, a system is needed that can help the work of doctors in the initial diagnosis of Torch problems in pregnant women. In this study, certainty factors and fuzzy logic methods were used in diagnosing TORCH problems in pregnant women to calculate the level of accuracy of the type of problem experienced based on the symptoms felt by the user. From testing obtained results in dealing with TORCH problems in mothers with an accuracy rate of 40.00%. The resulting expert system can assist patients in consulting to deal with TORCH problems in pregnant women