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All Journal Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
M Iwan Wahyuddin
Universitas Nasional
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Journal : Jurnal Mantik

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Expert System to Diagnose Kidney Failure with Web-Based Naïve Bayes Method: Expert System to Diagnose Kidney Failure with Web-Based Naïve Bayes Method Firdhani Novrizal; M Iwan Wahyuddin; Ratih Titi Komalasari
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Expert system is a development of AI that is designed to meet and facilitate decision making. Although the expert system is artificial intelligence, the expert system has only one domain in problem solving, such as medicine, engineering, and business. The method used in this study is the naïve bayes method. Naïve Bayes is a calculation method with probabilities and statistics in calculations. This research was made by combining information technology knowledge with health science which is intended to facilitate the use of computers in anticipating kidney failure. Kidney failure is a disease that is often experienced by people, especially in Indonesia. Because kidney failure is a deadly disease even though it is often underestimated by the community, especially Indonesia. The purpose of this paper is to assist the public in anticipating kidney failure that is still lacking knowledge and sensitivity to the disease. The application of the expert system is made with the naïve bayes method which has the function to calculate the percentage of presentations due to kidney failure and can help the role of doctors in making decisions in determine the type of kidney failure. In this application, an expert system for diagnosing kidney failure has an accuracy value of 81.67% from 60 test data.
Expert System to Diagnose Human Heart Disease Using Web-Based Forward Chaining Method: Expert System to Diagnose Human Heart Disease Using Web-Based Forward Chaining Method Doddy Prasetyo; M Iwan Wahyuddin; Ratih Titi Komalasari
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (777.859 KB)

Abstract

People do not realize that the heart is an organ that plays an important role in the circulatory system, and are very dangerous if the heart is experiencing problems or disturbances. But there are still many people who do not know the symptoms caused when the heart is having problems. In fact one of the causes of high mortality in Indonesia is due to heart disease. The purpose of this study is done to provide an update to the user to know the symptoms of heart disease as well as solutions. The method used in this study, is to use the Forward Chaining method. Expert systems will be created using PHP and MySQL database driven website.
Co-Authors Andrianingsih Arman Rama Susanto Doddy Prasetyo Firdhani Novrizal Kiki Vebiant Ratih Titi Komalasari Rini Nuraini Syam Ramadhan