Tsukamoto's Fuzzy Logic Development Analysis to Predict Caesarean or Normal Delivery

Abstract

Fuzzy logic is a commonly used method to build a system whose reasoning resembles human intuition or reasoning. Tsukamoto fuzzy logic and certainty factor are two methods which have in common that contain uncertainty. Today, the well known process of childbirth is normal childbirth and cesarean where the choice of this is dubious. Inappropriate choice of delivery will endanger the safety of both mother and baby. This study was conducted to determine the type of cesarean or normal delivery with the development of Tsukamoto fuzzy logic with certainty factor to prevent the problem of doubt about the choice of delivery. This study uses age, blood pressure, pelvic size, fetal weight, breech presentation, and cesarean history as input. The research output is a type of normal or cesarean delivery. The test was conducted on 30 people who had given birth whose medical records were processed using a web application. The results obtained are the type of delivery that was tested using those 30 medical record data which had 100% similarity results with the development of Tsukamoto fuzzy.