Abstract
Inside the human body there are many important organs, one of which is the intestine. Intestinal disease / digestive disease is a disease that most often attacks the digestive tract in humans. There are several intestinal diseases that are dangerous and there are also harmless intestinal diseases. In this research, researchers created an android-based expert system application that can provide information to the users about diseases that are being suffered through the symptoms experienced by the user. The process of making expert system applications using the certainty factor algorithm. The certainty factor algorithm is used to accommodate the uncertainty of an expert's. The mechanism that be used in the certainty factor algorithm on each symptom uses a measure of increased belief (MB) and measure of increased disbelief (MD). Expert system applications that have been built to detect intestinal diseases based on Android have been successfully implemented with a presentation of accuracy of 99.7265625%. by that percentage, it show us that the diagnosis of symptoms of the selected disease is in suitable by the experienced of user, and has the accuracy determined by the system
Highlights
Inside the human body there are many important organs, one of which is the intestine
Intestinal disease / digestive disease is a disease that occurs in the digestive tract of the human intestine
One of many expert systems are learned in artificial intelligence is using the Certainty Factor Method
Summary
Inside the human body there are many important organs, one of which is the intestine. The existence of an expert system is to be expected to help people suffering from diseases, especially in the stomach, to check their own symptoms using an android smartphone without having to wait for the queue or interfere with their working hours. One of many expert systems are learned in artificial intelligence is using the Certainty Factor Method. Research on intestinal disease is very necessary to prevent the occurrence of death caused by lazy people to conduct consultations. Diagnosis of Ornamental Plant Disease Using Web-Based Certainty Factor. 2. Expert System to Diagnose Cholesterol in Adolescents with Web-Based Certainty Factor (CF) Method" resulted in an application for diagnosing cholesterol disease [4]. 3. Application of the Certainty Factor Method in Osteoporosis and Osteoarthritis Risk Detection Expert Systems" produced an application for the diagnosis of osteoporosis and osteoarthritis [5]. This research produces acupuncture points based on symptoms from patients who experience insomnia [10]
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