PENERAPAN SISTEM PAKAR BERBASIS WEB UNTUK MENDIAGNOSA PENYAKIT KISTA OVARIUM PADA RSUD.HAMS KISARAN DENGAN METODE FORWARD CHAINING

Ovarian cysts are fluid-filled sacs that grow on a woman's ovaries (ovaries). Cyst disease is a disease that attacks many women, cysts themselves are tumors that contain fluid. This cyst fluid can be clear, can be in the form of blood or other body fluids and in the form of fluid-filled lumps that are in the ovaries. The high risk of death of ovarian cyst sufferers provides evidence that this type of disease needs to be taken seriously. For the public, ovarian cyst disease is still many who do not know about the disease. Both about the causes, symptoms and how to prevent the disease.Limited information aboutovarian cyst disease makes it difficult for sufferers of this disease to predict the extent of the danger of the disease suffered by them. However, the existence of expert doctors or experts has several disadvantages, such as limited practice working hours and the number of patients so that waiting forqueues that are sometimes quite long, currently doctors or experts, especially handling the type of disease and the level of accuracy of the disease to patients are still done manually. Therefore, an expert system was built that will assist doctors and paramedicsand the public in making decisions about ovarian cyst disease suffered by patients based on input given to the system. The system is built using PHP and MySQL programming languages as its database. The results of the study are in the form of diagnosing ovarian cyst disease online, so that users can process data and find solutions to ovarian cyst disease anywhere and anytime.
Keywords :Ovarian Cyst, Expert System, PHP, MySQL