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The research aimed to develop a web-based application using the certainty factor. The use of this certainty factor method allowed processing the data based on the degree of confidence from the experts and the users. The users inputted their symptoms each with the level of confidence. The inference engine drew some conclusions based on the matching process between the input and the rules in the knowledge-based. For every matching pair, the system would calculate the certainty factor. The knowledge-based was developed through discussion with three specialist physicians and literature in some previous studies. The evaluation of the system involved three specialists for validation testing and 51 respondents for BlackBox testing. The final result is displayed in the form of a percentage for each hepatitis type, explanation of first aid for hepatitis, and referral hospital for hepatitis patients. The result shows that the error rate in the diagnosis process is under 36%. Most of the respondents think that the quality of the system is good overall.

Deficiency of vitamin and mineral as part of micronutrient deficiency may lower human productivity. In general, lack of public understanding about micronutrient, limited number of nutritionist, time and cost, became the reason for people reluctant to meet nutritionist. The use of web-based computer application can be implemented to overcome the difficulty to get nutritionist’s services. Using the application, user can detect and check their micronutrient condition independently. User can submit their physical condition by answering questions from the application. Using forward chaining inference, data from user will be proceed using certainty factor method. The application’s output are the possible type of micronutrient’s deficiency and the weight that shown the level of confidence of the result. The evaluation process shown that the application functioning properly in line with the expectation. Beside helping people to make early detection independenly, the presence of the application is also expected to increase public awareness about the importance of micronutrient in their life.

The growth of information technology is increasing lately. People can get the actual information from websites. The combination between website and expert system will help people to make an application that can think like an expert and spread it all around the world using the internet. The technology can be used to solve the availability problem of expert nutrient in Indonesia. The application was developed using forward chaining method as the inference system. It will make the application work like a nutrient expert, which asks the patient from general to specified symptoms. The knowledge based of the application was collected from trusted resources like nutrient experts and nutrient books. The application was tested by the nutrient expert. The result shows that the application can work properly like an expert.