Developing Expert System Platform: Architecture and Methodology

There is an imbalance in the distribution of experts in the health sector between urban and regional areas in Indonesia, so that some research results in the field of expert systems are separated from one type of expertise to another. The public also difficult to access this research openly. Based on this background, the researcher built an expert system platform that gathered many expert systems, or it can be said that a platform that contains a lot of knowledge, especially in the health sector. This platform applies an inference method and an integrated interface. The system architecture used is n-tier, consisting of four layers. Namely data collection, knowledge base, inference engine and presentation. Data collection performed knowledge acquisition using natural language processing methods which are then stored in the knowledge base. The inference engine used classification and reasoning techniques. The n-tier architecture was chosen in order to provide a fast computation process for running several inference methods. The proposed research is realistically realized based on the prototype platform that has been made.