SINGAPOREAN FLUE DETECTION WITH EXPERT SYSTEM IN SUPPORT BY JAVA JESS FRAME WORK

Sri Hasta Mulyani, Ahmad Sahal

Abstract


Singaporean Flue is a disease that attacks humans, therefore, an effort to improve people’s health is how to cope with this disease, starting from prevention, health improvement, data collection and medication (curative). To widen people’s knowledge about health, computer science is required to provide optimal, effective and efficient knowledge. The diagnosis of Singaporean Flue is still a problem now, because the etiology is still uncertain since the early symptoms are not typical, furthermore, it is difficult to distinguish between ordinary flue and Singaporean Flue. To help diagnosing the disease, in case of unavailable specialist, a computer-based system is needed that can provide an initial diagnosis based on symptoms of the disease. The system, which will be designed as a research, is expected to provide conclusions about the disease based on existing symptoms. One system that is widely used is a knowledge-based system. By using an Expert System that will be supported by Java Jess Frame work and forward chaining, a conclusion can be obtained. To strengthen the result, calculation is also done with the certainty factor method. Therefore, a final diagnosis is obtained.

Keywords: Singaporean Flue, Disease, Expert System, Java Jess Frame


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