Diabetes Diagnostic Expert System using Website-Based Forward Chaining Method

Tiara Khumaira Putri (Institut Teknologi Telkom Purwokerto)
Mahda Laina Arnumukti (Institut Teknologi Telkom Purwokerto)
Khusnul Khatimah (Institut Teknologi Telkom Purwokerto)
Egidya Zalsabila (Institut Teknologi Telkom Purwokerto)
Sudianto Sudianto (Institut Teknologi Telkom Purwokerto)

Journal of Dinda : Data Science, Information Technology, and Data Analytics
Vol 3 No 1 (2023): February

Diabetes is a chronic disease. The World Health Organization predicts that Indonesia's number of diabetic patients will continue to increase significantly to 16.7 million in 2045. As early prevention, early diagnosis is needed to anticipate more severe diabetes. This study aims to build an expert system for detecting diabetes using a web-based forward chaining method. The expert system is built by collecting indications from experts by collecting facts using the forward chaining method. Furthermore, judging by the unhealthy lifestyle of many people who consult with hospitals or health workers. From the results obtained, the system can work well based on knowledge from experts