Abstract
Obesity is a medical condition in the form of excess body fat that accumulates in such a way as to have a detrimental impact on health, which then decreases life expectancy and or increases health problems. Obesity is now a common health problem in this modern society with a variety of technological discoveries that make people don't need to move a lot to do something, resulting in people living a lifestyle without much Move. Researchers feel the need for an expert system application that can easily diagnose obesity with everyone just by modalizing simple applications on people's smartphones. The expert system that is built will diagnose early obesity disease by method of drawing inferences using backward chaining method and to test the level of belief conclusions using certainity factor method. The system will be able to provide output in the form of obesity diagnosis, explanation, tips and advice on obesity handling solutions. System development Methods using ESDLC (Expert System Development Life Cycle). The system is built on Android.
Highlights
In the midst of this rapid technological advancement, Indonesia will soon enter the Industrial 4.0 era
Research conducted by Nesi Syafitri and Alfred Apdian in 2018, Expert System for Diagnosing Obesity in Children Using the Backward Chaining Method, the purpose of this study is to create an Expert System to help doctors diagnose obesity in children and provide information to parents about therapy and symptoms of obesity based on heredity, physical activity and eating patterns, Expert System built Desktop Based.[2]
Expert system which will be developed in this research can diagnose obesity without age limitation with 7 causative factors namely Physical, genetic, dietary, lifestyle, psychological, disease, and drug symptoms
Summary
In the midst of this rapid technological advancement, Indonesia will soon enter the Industrial 4.0 era. Industry 4.0 is an industry that combines automation technology with cyber technology. This is a trend of automation and data exchange in manufacturing technology. This includes cyber-physical systems, the Internet of Things (IoT), cloud computing and cognitive computing. Artificial Intelligence (AI) is part of cognitive computing, AI is artificial intelligence that is added to a system that can be arranged in a scientific context, a system like this is generally considered a computer. Intelligence is created and incorporated into a machine (computer) in order to do work like humans. Some fields that use artificial intelligence include Expert Systems, Robotics, Games, Fuzzy Logic and Artificial Neural Networks
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