Analisis Data Pasien Klinik Halim Untuk Menentukan Masa Menopouse Menggunakan Metode Teorema Bayes

Abstract

Abstract
Menopause is a transitional period from mentruation to no longer having menstruation. Women who have entered
menopause are likely to experience a deterioration in health, especially physical changes. Hot flushes, vaginas
becoming dry, sagging skin and wrinkles are examples of physical changes. The physical changes caused by
menopause can affect the psychological condition of menopausal women such as irritability, anxiety, stress and
depression. The problem of uncertainty of knowledge in this expert system is solved using the method of Bayes'
Theorem. The process of determining the diagnosis in this expert system begins with a consultation session, where
the system will ask relevant questions to the patient according to the main symptoms of monopause disease
experienced by the patient. Bayes' theorem is used to calculate the probability of an event occurring based on the
influence obtained from the results of observations. In addition to this bayes theorem method makes use of sample
data obtained from the population also takes into account an initial distribution called the prior distribution. The
final result of this study is an expert system for diagnosing monopause diseases along with the probability value
of the diagnosed disease, which shows the level of system confidence in the disease and the therapeutic advice that
should be given.