SISTEM PAKAR DETEKSI DINI PENYAKIT HERPES ZOSTER DENGAN MENGGUNAKAN METODE BREADTH FIRST SEARCH (BFS) PADA PUSKESMAS KALUMPANG TERNATE BERBASIS WEB

Abstract

Herpes zoster disease or what we often know as shingles is an acute and localized inflammation of the skin, especially in the elderly, which is typically characterized by unilateral radicular pain (lumbar pain) and the appearance of vesicular lesions (injury) that are limited to the dermatome (area of ​​the spine). the skin) which are innervated by spinal nerve fibers (spine) and ganglion (tissue that connects muscles to bones) sensory nerve fibers (cells or organs) from the cranial nerves (nervous system). Usually characterized by the appearance of red bubbles such as small blisters that cluster on the surface of the skin and are watery and accompanied by itching and burning. Breadth first search (BFS) is an algorithm that performs a broad search that visits nodes on a preorder basis, namely visiting a vertex then visits all the vertices that are adjacent to that vertex first. Furthermore, the nodes that have not been visited and are neighbors to the previously visited nodes, and so on. The results of this study indicate that the Breadth First Search (BFS) method can predict disease. Whether it's mild Herpes Zoster, moderate Herpes Zoster, and severe Herpes Zoster, by utilizing tracking with a decision tree every symptom and Herpes Zoster disease is asked. In the design shows every condition added to the system will be processed. If all conditions have been met or all rules have been executed based on the queue then the session ends.