Self-Diagnosis of Web-Based Pregnancy and Childbirth Disorders Using Forward Chaining Methods

I Putu Agus Eka Pratama (Department of Information Technology, Faculty of Engineering, Udayana University, Jimbaran, Bali, Indonesia)

International Journal of Advances in Data and Information Systems
Vol. 2 No. 1 (2021): April 2021 - International Journal of Advances in Data and Information Systems

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. Focus of this research is design and implementation of an Information System for Diagnosis of Pregnancy Disorders Based on Cloud Computing based on Forward Chaining Method, using Design Science Research Methodology (DSRM) and tested using the Technology Acceptance Model (TAM) method. The application is placed on the Hybrid Cloud. The results of this research, can help pregnant women in diagnosing diseases and complaints online, to reduce the mortality rate for pregnant women and giving birth.