摘要：One of the biggest cause of death is Diabetes Mellitus caused by a lack of public understanding of the symptoms of the disease, so that the diagnosis of the disease is not done as early as possible. This paper presents the research and the development of an Android based self-control management expert system for Diabetes Mellitus patients. This expert system purposed to diagnose Diabetes Mellitus disease based on symptoms experienced and to manage the dietary pattern in patients. The method used to develop expert system is forward chaining method. Implementation of the forward chaining method begins with gathering information then applying reasoning as a determinant of diagnosis conclusions using rule based If-Then. The development result is an expert system that can be used to diagnose Diabetes Mellitus and can be used to determine the dietary pattern in patients who are implemented on Android based mobile devices. This system shows more specific results in determining the diagnosis of the disease based on 4 types of Diabetes Mellitus. In addition, more specific in determining dietary pattern such as showing the number of calories, food levels and variations of food that can be consumed by patients.
其他摘要：One of the biggest cause of death is Diabetes Mellitus caused by a lack of public understanding of the symptoms of the disease, so that the diagnosis of the disease is not done as early as possible. This paper presents the research and the development of an Android based self-control management expert system for Diabetes Mellitus patients. This expert system purposed to diagnose Diabetes Mellitus disease based on symptoms experienced and to manage the dietary pattern in patients. The method used to develop expert system is forward chaining method. Implementation of the forward chaining method begins with gathering information then applying reasoning as a determinant of diagnosis conclusions using rule based If-Then. The development result is an expert system that can be used to diagnose Diabetes Mellitus and can be used to determine the dietary pattern in patients who are implemented on Android based mobile devices. This system shows more specific results in determining the diagnosis of the disease based on 4 types of Diabetes Mellitus. In addition, more specific in determining dietary pattern such as showing the number of calories, food levels and variations of food that can be consumed by patients.
