Pendekatan Metode Naive Bayes pada Sistem Pakar untuk Diagnosa Penyakit ISPA di Puskesmas Depok 2 Sleman

Abstrak

Acute Respiratory Tract Infections (ARIs) are among the most common conditions encountered in primary care facilities, characterized by overlapping symptoms that can lead to subjectivity in the initial diagnosis. This study aims to develop a web-based expert system as a diagnostic aid for ARI using the Naive Bayes method at the Depok 2 Community Health Center in Sleman. The research method used was Research and Development (R&D), which included collecting patient medical records, designing a knowledge base, applying the Naive Bayes method, and testing the system. The data used consisted of disease type data and ARI symptom data, which were processed to generate diagnostic probability values. The results showed that the system was capable of providing an initial diagnosis of ARI based on symptoms entered by the user, with an accuracy rate of 86.6% based on a comparison of 30 patient records with the diagnostic results of medical personnel. The implementation of this system is expected to improve the accuracy, consistency, and efficiency of the initial ARI diagnosis process by medical personnel.

Identifier

• OpenAlex: https://openalex.org/W7166072072
• DOI: https://doi.org/10.55606/juitik.v6i2.2418