Diagnosis Gangguan Pernapasan Pada Anak (Balita) Menggunakan Metode Forward Chaining dan Naïve Bayes

Abstract

Respiratory system disorders often occur in humans and can be transmitted at any time from human to human. Respiratory disorders occur more often than disorders or infections of other body organ systems. Starting from the common cold with relatively mild to severe symptoms, coughing, fever, sore throat and shortness of breath. This disease is very dangerous, especially if it infects toddlers. To solve existing problems, researchers are trying to build an expert system to help people recognize respiratory diseases such as common cold, flu, bronchitis, pneumonia, asthma, allergies (rhinitis), sinusitis, tuberculosis, bronchopneumonia. Based on the symptoms entered into the system later, the system will use forward chaining and naïve Bayes methods as its inference engine which will produce a disease diagnosis. Based on 9 types of disease data with 30 types of symptom data for respiratory system diseases, the system has an accuracy of 87.6%. With these results, researchers hope to help the public as a medium for initial consultation in diagnosing respiratory diseases.