DIAGNOSA PENYAKIT TUMOR OTAK MENGGUNAKAN METODE WATERFALL DAN ALGORITMA DEPTH FIRST SEARCH

Abstract

A tumor is a lump that can grow in all parts of the human body abnormally, the tumor has the characteristic of being benign or malignant. If it is not supported sooner, it will worsen immunity as well as in the body. Common symptoms that accompany brain tumors include pain in the head. However, these symptoms are often ignored and do not get treated sooner. Based on this case, what is needed in an instant diagnosis requires an expert system to detect the type of brain tumor. Expert systems are developed using Codeigniter Framework, Bootstrap, and MySQL. In designing this system, it is formed in the UML mod-eling. This method uses the Waterfall method as a stage in carrying out the stages of system analysis and the Depth First Search algorithm as path search in finding the type of tumor. In the process of diagnosing human symptoms, it starts from displaying all information data related to brain tumor symptoms, then drawing conclusions, and searching for accurate facts with th IF-THEN command. Tests carried out using black box method and testing the diagnostic results. The results of the proportion and interpretation of the results obtained from the questionnaire were 92,25% proportion and interpretation.