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All Journal Journal of Dinda : Data Science, Information Technology, and Data Analytics
Tiara Khumaira Putri
Institut Teknologi Telkom Purwokerto
Computer Science & IT

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Diabetes Diagnostic Expert System using Website-Based Forward Chaining Method Tiara Khumaira Putri; Mahda Laina Arnumukti; Khusnul Khatimah; Egidya Zalsabila; Sudianto Sudianto
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 3 No 1 (2023): February
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v3i1.752

Abstract

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
Co-Authors Egidya Zalsabila Khusnul Khatimah Mahda Laina Arnumukti Sudianto