IMPLEMENTATION OF THE FORWARD CHAINING METHOD IN THE EXPERT SYSTEM FOR DIAGNOSIS OF PULMONARY TB (CASE STUDY: BLANG RHEUM PUBLIC HEALTH CENTER)] Pulmonary tuberculosis (TB) is an infectious disease that poses a global health threat with a still high incidence in Indonesia. Delays in diagnosis due to limited medical personnel and laboratory facilities in primary care such as the Blang Rheum Community Health Center (Pustu) exacerbate the spread of this disease. This study aims to build an Expert System that mimics the ability of experts to diagnose early symptoms of pulmonary TB using the Forward Chaining method. This method was chosen because it is able to reason from a set of symptom facts to systematically conclude the disease. The system was developed web-based using PHP, MySQL, and the CodeIgniter 3 framework. Test results show that the system can recognize early symptoms of pulmonary TB and provide a confidence level for users, so it is expected to improve the efficiency of early detection at the community level.
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