SELF-DIAGNOSIS OF WEB-BASED PREGNANCY AND CHILDBIRTH DISORDERS USING FORWARD CHAINING METHODS

The high mortality rate for pregnant women and childbirth in Bali, Indonesia, is caused by a lack of initial diagnosis of the diseases and complaints experienced by pregnant women during pregnancy, as well as a lack of health medical personnel scattered throughout Bali, to be able to provide optimal health services. It is necessary to have an online information system that helps pregnant women to be able to independently and online diagnose diseases, complaints, and symptoms experienced during pregnancy. The system must be able to be accessed anytime and anywhere, with high reliability and availability, and provide fast diagnostic results. The focus of this research is the design and implementation of an Information System for Diagnosis of Pregnancy Disorders Based on Cloud Computing using Forward Chaining Method, with the Design Science Research Methodology (DSRM) and the Technology Acceptance Model (TAM) method. The application is placed on the Hybrid Cloud to make it more secure and reliable. The results of this research, help pregnant women to do online self-diagnosis, to reduce the mortality rate for pregnant women and giving birth.