scholarly journals Comparative Analysis Of Dempster Shafer Method With Certainty Factor Method For Diagnose Stroke Diseases

2018 ◽  
Vol 2 (1) ◽  
pp. 32
Author(s):  
Erwin Kuit Panggabean
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
Expert System ◽  
Knowledge Representation ◽  
Programming Languages ◽  
Certainty Factor ◽  
Factor Method ◽  
System Method ◽  
Artificial Intelligence Technology ◽  
Better Than

The development of artificial intelligence technology that has occurred has allowed expert systems to be applied in detecting disease using programming languages. One in terms of providing information about a variety of disease problems that have recently been feared by Indonesian society, namely stroke. Expert system method used is dempster shafer and certainty factor method is used to analyze the comparison of both methods in stroke.Based on the analysis result, it is found that certainty factor is better than demster shafer and more accurate in handling the knowledge representation of stoke disease according to the symptoms of disease obtained from one hospital in medan city, uniqueness of algorithm that exist in both methods.

scholarly journals Expert System Diagnose Disease in Poultry Using Certainty Factor Method

2020 ◽  
Vol 2 (1) ◽  
pp. 167-170
Author(s):  
Oktavio Nansia ◽  
Bosker Sinaga
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computational Method ◽  
Certainty Factor ◽  
Factor Method ◽  
Lack Of Information ◽  
Artifical Intelligence ◽  
System Method ◽  
The Times ◽  
Inexact Reasoning

In this study, the authors conducted research to apply the Certainty Factor Method to Diagnose Diseases in Livestock and build applications in the application of Reviews These methods. Information technology is now a staple in developing a field. Along with the development of the times, proper information management is needed, so we need an Appropriate computational method. In this case the expert system method is one way to find out or identify diseases in poultry that have been infected with bacteria or viruses. A form of management information system specifically created to support a plan in making decisions to solve a case or problem. Artificial Intelligence (Artifical Intelligence) is one part of computer science that makes machines (computers) can do work as and as well as humans do. Expert System is one of the Artificial Intelligence techniques that attempts to adopt human knowledge into computers, so that computers can solve problems as is usually done by experts. Diagnosing disease in poultry is currently a problem that is still underestimated for most people, this is due to lack of knowledge or lack of information in terms of Overcoming and Preventing Contaminated, viruses or bacteria. Certainty Theory Theory was suggested by Shortlife and Buchanan in 1975 to a accommodate the uncertainty of thinking or inexact reasoning of an expert. Phrases like "maybe", "most likely", "almost Certain". To a accommodate this, Researchers conducted a certainty factor method to describe the level of expert confidence in problems in diseases Suffered by chickens already infected with dangerous viruses.

scholarly journals Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Stroberi Menggunakan Metode Certainty Factor Berbasis Web

Repositor ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Nina Mauliana Noor Fajriah ◽  
Yufis Azhar ◽  
Gita Indah Marthasari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computer Science ◽  
Programming Language ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Factor Method ◽  
System Database ◽  
And Behavior

Expert system is one of the AI Development fields. AI (Artificial Intelligence) is part of a computer science which used the computer to imitate the human thoughts and behavior. The usage of a method in Expert System is very important. Thus, the most compatible method to use is the Certainty Factor method. This method is suitable to be used on Expert System to measure things and diagnosed it, will it be very sure or unsure. For example, Expert System to diagnose disease on strawberry plants. This software allows the user to diagnose the disease on strawberry plants before taking a further action. This software is using PHP programming language and store the data using MySQL system database. When the user consulting to the software, the software will show the symptoms of the disease and the user can choose the level of certainty from the chosen disease symptom. The final result from the software is a form which includes the guide of how to take the measurement of the disease based on the chosen symptoms.

scholarly journals Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

2021 ◽  
Vol 1 (4) ◽  
pp. 103-108
Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Computer System ◽  
Decision Making Process ◽  
Certainty Factor ◽  
Uterine Myomas ◽  
Factor Method ◽  
Two Factors

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

scholarly journals SISTEM PAKAR FORWARD CHAINING , FUZZY-MAX DAN CERTAINTY FACTOR AYAM PEDAGING

2021 ◽  
Vol 21 (1) ◽  
pp. 65-73
Author(s):  
Asep Afandi ◽  
Dwi Marisa Efendi
Keyword(s):  
Expert System ◽  
Disease Outbreaks ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Factor Method ◽  
System Method

Chicken farming is one of the promising business potentials, but in management and care, it is very important to determine the success of chicken farming. Often in the care of negligent employees so that they are exposed to disease outbreaks. With various types of diseases that attack the symptoms are very similar and even the same as other diseases, therefore an expert system can be used to diagnose a disease by looking at the characteristics of the disease suffered, and how the solution is to treat or prevent the disease In the study, it discusses 8 types of broiler diseases, where the expert system method used is the Fuzzy Max method, Forward Chaining, and Certainty Factor. From the results of the Fuzzy Max method, the results showed an accuracy of 80% - 90% for all types of diseases, while the Certainty Factor method showed 96% - 99% for all types of diseases.Keywords— Expert System, Fuzzy Max, Certainty Factor,  Forward Chaining.

SISTEM PAKAR MENDIAGNOSA PENYAKIT HEPATITIS MENGGUNAKAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Dewi Atika Lubis ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
System Variable ◽  
The People ◽  
System Method ◽  
Artificial Intelligence Technology ◽  
Computer Based ◽  
Rule System ◽  
Answering Questions ◽  
Device Technology

At present the use of computer device technology has grown rapidly among the people. Most people use it not  only for commercial purposes, but also to get information on disease detection quickly and efficiently with computer-based applications that can help the general public to find out the causes and symptoms of the disease. For this reason, a system is designed to be able to imitate the expertise of an expert in answering questions and solving a problem in accordance with the knowledge of an expert who is incorporated into a computer system. The development of artificial intelligence technology that has happened has enabled the expert system to be applied to its use in detecting diseases by using programming languages. One of them is in providing information about various problems, especially hepatitis. The expert system method used is a Variable Centered Intelligent Rule System (VCIRS) used to handle uncertainty in diagnosing hepatitis. With the facilities provided to the user, it allows the user to use this system according to their individual needs. Users are given easy information about the symptoms of hepatitis, and their prevention. This Expert System is created using the Microsoft Visual Basic 2008 programming language.Keywords: Expert system, Variable Centered Intelligent Rule System (VCIRS), Hepatitis

scholarly journals Comparative Analysis of Certainty Factor Method and Bayes Probability Method on ENT Disease Expert System

2018 ◽  
Vol 5 (2) ◽  
pp. 205-212
Author(s):  
Khairina Eka Setyaputri ◽  
Abdul Fadlil ◽  
Sunardi Sunardi
Keyword(s):  
Comparative Analysis ◽  
Expert System ◽  
Expert Knowledge ◽  
Probability Method ◽  
Certainty Factor ◽  
User Input ◽  
Factor Method ◽  
Weight Value ◽  
Systematic Knowledge ◽  
Nose And Throat

Expert system is computer programs that mimic the thought process and expert knowledge in solving a particular problem. Basically, an expert system has various methods to diagnose various kinds of diseases experienced by humans, animals, and plants. This research analyzes the comparison of Certainty Factor method and Bayes Probability method in the expert system of Ear, Nose, and Throat (ENT) diseases. Both methods have the same basic theory of overcoming uncertainties with existing variables. The Certainty Factor method has many variables that are used as systematic knowledge, namely the weight value of the expert which is the basis of knowledge of the system and the user input weight value, while the Bayes Probability method uses only expert knowledge in the calculation. Based on a comparative analysis of the methods obtained with 10 patients data on the ENT disease expert system, the Certainty Factor method has accuracy in diagnosing the disease by 100%, while the Probability Bayes method of system accuracy is 80%. So it can be concluded that the Certainty Factor method is more accurate in diagnosing ENT than the Bayes Probability method.

scholarly journals Sistem Pakar Mendiagnosa Penyakit Itp (Idiopathic Thormbocytopenict Purpura) Mengunakan Metode Variable Centered Intelligent Rule System (VCIRS)

2020 ◽  
Vol 1 (2) ◽  
pp. 94
Author(s):  
Mhd. Iskandar Romadon Hasibuan
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Programming Language ◽  
Visual Basic ◽  
Thrombocytopenic Purpura ◽  
System Method ◽  
Artificial Intelligence Technology ◽  
Computer Based ◽  
Rule System ◽  
Answering Questions

At this time the use of computer peripheral technology has grown rapidly and is popular in the community. Most people use it not only for commercial purposes, but also to obtain information on the detection of disease quickly and efficiently with computer-based applications that can help the general public to find out the causes and symptoms of these diseases. For this reason, we need a system designed to be able to mimic the expertise of an expert in answering questions and solving a problem in accordance with the knowledge of an expert entered into a computer system. The development of Artificial Intelligence technology that has occurred has enabled the Expert System to be applied in detecting diseases using the programming language. One of them is in providing information about various problems, especially ITP (Idiopathic Thrombocytopenic Purpura) disease. The expert system method used is the Variable Centered Intelligent Rule System (VCIRS) used to deal with diagnosing ITP disease. With the facilities provided for users and administrators, it allows both users and administrators to use this system according to their individual needs. Users are given the ease of knowing information about ITP disease, its causes and prevention. This Expert System was created using the Microsoft Visual Basic 2008 Programming Language.

scholarly journals Rancang Bangun Sistem Pakar untuk Penanganan Penyakit Pada Durian Berbasis Web

2021 ◽  
Vol 2 (1) ◽  
pp. 167-172
Author(s):  
Alfi Syahrinur Sitorus ◽  
Juna Eska ◽  
Sumantri Sumantri
Keyword(s):  
Expert System ◽  
Qualitative Approach ◽  
Plant Diseases ◽  
Certainty Factor ◽  
Web Based ◽  
Existing Problems ◽  
Factor Method ◽  
System Method ◽  
Manual Methods ◽  
The Web

Abstract :In cultivating durian farmers often suffer losses because durian plants are always attacked by pests and durian plant diseases because farmers still use manual methods to find out in dealing with durian plant diseases. From the existing problems, the purpose of this study is to design an expert system with Certainty factor method in handling web-based durian plant diseases that can be accessed by anyone. The benefits of this research provide convenience and help farmers to consult those who have activities worthy of a very experienced system such as experts. The expert system method used is using Certainty factor. The research methodology used by using a qualitative approach. The location of this research was conducted at the Asahan District Agriculture Service specifically in the field of plantations. The design model uses the Rad model, the programming language used by PHP and MySQL as its database. The results of this study are expected by the application of an expert system using the web-based Certainty factor method to diagnose diseases in durian plants and provide treatment solutions so that it can make it easier for farmers and communities to deal with diseases in the durian plants.                                       Keywords: Expert System; Durian; Certainty factor  Abstrak: Dalam membudidayakan durian petani selalu merasa rugi disebabkan tanaman durian selalu diserang para hama dan penyakit tanaman durian dikarenakan mereka tetap memakai cara yang kuno saat mendeteksi serta mengatasi penyakit tanaman durian. Dari permasalahan tersebut jadi tujuan penelitian ini agar merancang sistem pakar dengan metode Certainty factor pada penanganan penyakit tanaman durian berbasis web yang dapat diakses oleh siapa saja. Manfaat dari penelitian ini memberikan serta mempermudah juga menolong para petani ketika bertanya, juga mempunyai aktifitas seperti sistem yang handal bagaikan para ahli. Metode sistem pakar yang digunakan menggunkan Certainty factor. Metodeologi penelitian yang dipakai dengan mengguna-kan kualitatif. Tempat penelitian ini berada pada Dinas Pertanian kabupaten Asahan khusus nya dibidang perkebunan. Model perancangan menggunakan model Rad, bahasa pemograman yang dipakai php dan MySQL menjadi penyimpanan data nya. Hasil akhir dari penelitian ini diharapkan dengan adanya aplikasi sistem pakar memakai cara Certainty factor berjalan di web dapat mendiagnosa penyakit pada tanaman durian dan memberikan solusi penanganannya sehingga dapat lebih memudahkan petani dan masyarakat dalam menangani penyakit pada tanaman durian tersebut. Kata Kunci : Sistem Pakar; Durian; Certainty Factor

SISTEM PAKAR MENDIAGNOSA PENYAKIT VAS, KULITIS MENGGUNAKAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Pipi Susanti ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
System Variable ◽  
System Method ◽  
Computer Device ◽  
Artificial Intelligence Technology ◽  
Computer Based ◽  
Rule System ◽  
Answering Questions ◽  
Device Technology

At this time the use of computer device technology has developed rapidly and the community. Most people use it not only for commercial purposes, but also to get information on disease detection quickly and efficiently with a computer-based application that can help the general public to find out the causes and symptoms of the disease. for that, a system is needed to imitate the expertise of an expert in answering questions and solving problems in accordance with the knowledge of an expert who is entered into a computer system. The development of artificial intelligence technology that has occurred has made it possible for expert systems to be applied to detect disease using programming languages. One of them is in providing information about various problems, especially Vasculitis. The expert system method used is a Variable Centered Intelligent Rule System (VCIRS) used to handle diagnosing vasculitis. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. Users are given ease in knowing information about Vasculitis disease, its causes and deterrents. This expert system is created by using Microsoft Visual Basic 2008 Programming Language.Keywords: Expert System, Variable Centered Intelligent Rule System (VCIRS), Vasculitis

scholarly journals The Comparison between Bayes and Certainty Factor Method of Expert System in Early Diagnosis of Dengue Infection

2018 ◽  
Vol 5 (2) ◽  
pp. 159-170 ◽  
Author(s):  
Eka Yuni Rachmawati ◽  
Budi Prasetiyo ◽  
Riza Arifudin
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Medical Records ◽  
Dengue Infection ◽  
Test Results ◽  
Certainty Factor ◽  
Bayes Method ◽  
Factor Method ◽  
Record Data ◽  
Artificial Intelligence Technology

The development of existing artificial intelligence technology has been widely applied in detecting diseases using expert systems. Dengue Infection is one of the diseases that is commonly suffered by the community and may cause in death. In this study, an expert diagnosis system for dengue infection is made by comparing between both Bayes method and Certainty Factor. The aims are to build an expert system using Bayes and Certainty Factor for early diagnosis of dengue infection and also to determine their level of accuracy. There are 80 data used in this study which are obtained from the medical records of Sekaran Health Center in Semarang City. The test results show that the level of accuracy obtained from 80 medical record data for Bayes method is 90% and the Certainty Factor method is 93,75%.

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