Analyzing the Causes of Maternal Death in Postpartum Period Using a Fuzzy Inference System Approach

Analysis of the causes of post-partum maternal death is very important in reducing maternal mortality. This study aims to reduce post-partum maternal mortality by looking at vital signs and physical signs in the form of 19 parameters. At this time the analysis of maternal mortality only focuses on the factor of vital signs without looking at the physical signs that can be analyzed. The post-partum maternal mortality analysis system using the Fuzzy Inference System is very relevant to overcome the problem of postpartum maternal mortality because it can manage the post-partum maternal mortality indicator values into values that are vague in the form of limits such as low, normal, and high. The results of using the fuzzy Inference System model are used to predict postpartum maternal mortality from the first day to the third day based on vital signs Blood Pressure with a status of “High” with an Membership function (MF) value of 0.44 and factors that influence maternal mortality based on physical signs are Anogenital Lochea Rubra and Anogenital Lochea Sanguinolenta with “Medium” status with the highest MF on the fourth day with an MF value of 0.84, for Anogenital Lochea Sanguinolenta with “High” status with the highest MF on the fifth day with an MF value of 0.46.