Forward Chaining dan Rules Based Reasoning untuk Membantu Pengendalian Penyakit Menular Tuberkulosis

Abstract

Tuberculosis is an immediately cronic disease coused by Mycobacterium Tuberculosis. The implementation of controlling the disease in 2004 resulted in the case detection rate (CDR) of 15 out of 33 provinces that could reach the target of 60o/o and aboye. In 2010, in Sumaetra Utara, 15,614 cases of lung tuberculosis were found. The purpose of this sdtudy, employing the rules-based reasoning and forward chaining as one ofthe strategies to providefacility ti the health teom, wos to obtain an expert system modelfor the health team thot they conworkfaster and more accurate. Rule-based reasoning is a lvtowledge-representing technique used in the forms of the We of tuberculosis patients, the condition of patient, result of evaluation and action of evaluation, and suggested recommendation. The form of thts representatian comprised premise and conclusion. The result of the simulation showed that the expert system model was able to assist in showing good services and becoming a source of lonwledge that can be used at any time.