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Journal : Journal of Mathematics and Technology (MATECH)

EXPERT SYSTEM OF DISEASES OF THE FEMALE CHILDBEARING PERIOD USING BAYES THEOREM METHOD Ananda Sari, Dea; Novriyenni, Novriyenni; Ramadani, Suci
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.157

Abstract

A woman's fertile period is a menstrual cycle in women that occurs once a month. The average fertile period lasts between days 8-19 after the first menstrual period ends. During this fertile period, women will release mature egg cells from the ovaries to the uterus or the so-called ovulation period. There are several menstrual cycles in women, namely the follicular fake menstrual cycle (pre-ovulation) and the luteal phase. If the menstrual period in women is smooth, it is said that it is impossible to have a disease, but in fact there are still diseases in women who have experienced a menstrual period who must get a doctor's treatment as soon as possible.Edward clinic is one of the gynecology clinics that currently serves a variety of health care in pregnant women and complaints in certain areas of women, as well as problems with female fertility. With the development of increasingly sophisticated technology, Edward clinic must be able to follow the development of existing systems in order to make it easier for users to find more complete information by processing patient data and other information. Therefore, the authors want to design an application to assist users in providing services to patients in obtaining more efficient information about the problem of women's fertile period disease, by designing and building a system that will be used in the process to diagnose women's fertile period disease based on symptoms felt by patients using Bayes ' Theorem method, in order to facilitate and shorten the time patients in consultation or further examination. From the results of the study obtained the certainty value of the combination of bayes ' theorem that patients are likely to experience egg follicle disease in women's fertile period with a percentage of 69.50%.
Design of an Expert System for Diagnosing Cat Diseases Caused by Fungi or Viruses Using the Certainty Factor Method Kusuma, Retno Ayu; Novriyenni, Novriyenni; Syahputra , Siswan
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.178

Abstract

The health and beautiful appearance of pets is important because treating these diseases requires more money. If the pet is infected with a disease that can be transmitted, then as the owner you have to do something to find out the type of disease and treatment, one of which is cats. However, many keepers still do not know the symptoms of diseases suffered by cats. So the treatment that should have been carried out at the beginning is delayed and the cat is no longer healthy because it is already suffering from an illness. The lack of veterinarians is also one of the factors causing delays in treatment for cats. For this reason, we need a system that can store knowledge about the symptoms and treatment process of the disease experienced by the cat. Expert system is a system that adopts human knowledge into a computer so that the computer is able to solve problems the way an expert works. Meanwhile, the Certainty Factor Method is a method that defines a measure of certainty regarding facts or rules to describe an expert's confidence in the problem being faced. Based on the results of the trials carried out, it was found that the highest confidence value was in the symptoms of Ringworm disease with a confidence value of 91%.