The Expert System uses the Certainty Factor (CF) Method to Detect the Level of Postpartum Depression

Currently, there are technological advances that are able to detect various diseases and psychological disorders in humans early.One of the innovations in the health sector is the existence of an expert system that utilizes expert knowledge to assist in the early diagnosis of a disease or disorder, both physical and psychological.In the research carried out, data was collected through interviews, observations and studies of relevant literature related to postnatal psychological disorders.At this stage the researcher involved experts as experts, namely a midwife.Postpartum psychological disorders are categorized into three levels of disorders: Post Partum Blues, Post Partum Depression, and Post Partum Psychosis.Data on symptoms of this disorder was obtained through data collection activities, especially from the practice experience of midwives.The collected data will be processed to facilitate manual testing of the methods used.Application development follows the System Development Life Cycle (SDLC) model, specifically the waterfall method, which follows a systematic sequential approach to software development.The main stages in the waterfall method include requirements analysis, system design, system implementation, and system testing.Implementation of the expert system application will use the Certainty Factor (CF) method.