scholarly journals Expert System for Diagnosing Types of Diseases in Human Intestine Organs Using the Certainty Factor Method

2019 ◽  
Vol 1 (2) ◽  
pp. 21
Author(s):  
Elis Nurhayatmi ◽  
Zaenal Muttaqin ◽  
Ahmad Sugiyarta ◽  
Ryan Naufal Hay’s
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Programming Language ◽  
Human Body ◽  
Digestive System ◽  
Food System ◽  
Visual Basic ◽  
Human Intestine ◽  
Certainty Factor ◽  
Factor Method

Intestine is one of the organs of the digestive system in the human body which is shaped like pipes and act as gatekeeper food system for our bodies. Many people do not noticed his intestines health because they are too busy with his activity, or lazy to go to the doctor, even when hospital were many visitors there is also felt a lot of to waste time to queue up because they want to get their turn to be checked and a lot of costs to be incurred. This research discusses about creating expert system to diagnose intestinal diseases using certainty factor method.  Applications developed with Visual Basic programming language with MySQL as its database. The results of this research able to do early diagnosis of the symptoms that is felt system users, and provide diagnostic results such as type of disease suffered, prevention and its information.

scholarly journals Perancangan Aplikasi Sistem Pakar Penyakit Roseola Dengan Menggunakan Metode Certainty Factor

2020 ◽  
Vol 1 (2) ◽  
pp. 107
Author(s):  
Lola Fida Putri
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Low Income ◽  
Acute Illness ◽  
Brain Inflammation ◽  
Not Given ◽  
Certainty Factor ◽  
Factor Method ◽  
Applied Knowledge

Measles Roseola usually attacks infants with transmission from a sprinkling of sufferers' saliva. Roseola must be treated quickly because it can cause liver and brain inflammation. Roseola's disease for people whose economy is low is not given much attention because it is often diagnosed in severe or acute illness. This is because the red rash in infants is a common measles. Early diagnosis of Roseola's disease is a good way to avoid adverse consequences for the baby's health. The Roseola disease expert system is able to help low-income people to self-diagnose the disease. Roseola's disease expert system is applied knowledge gained from experts, namely specialist dermatologists in children. Processing of symptoms based on facts with the value and calculation of the Certainty Factor method. Certainty Factor determines good results by combining expert values and user values.

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.

Analisa Certainty Factor Dalam Mendiagnosa Kerusakan Alat Pemancar Radio 87.6 Dass FM Lubuk Pakam

2020 ◽  
Vol 3 (2) ◽  
pp. 80-87
Author(s):  
Harry Sutanto ◽  
Bosker Sinaga
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Certainty Factor ◽  
High Frequencies ◽  
Radio Transmitter ◽  
Factor Method ◽  
Radio Transmitters

An FM transmitter or FM transmitter is a source of radio vibrations emitted by a device called an oscillator or oscillator. While the oscillator is a device that can produce high frequencies. The scope of this research is an expert system that is built only to discuss the symptoms and damage to radio transmitters and solutions to fix them. The resulting output is radio transmitter malfunction information and solutions to repair it. The programming language used in solving this problem is PHP by using the mysql database. The method used in solving the damage to the radio transmitter is the certainty factor method.

scholarly journals Expert System for Early Diagnosis of Tropical Malaria and Tertiana Malaria using Certainty Factor

2021 ◽  
Vol 2 (4) ◽  
pp. 135-140
Author(s):  
Patmawati Hasan ◽  
Elvis Pawan
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Research Subjects ◽  
Certainty Factor ◽  
Factor Method ◽  
Genus Plasmodium ◽  
Flow Diagrams ◽  
Mode Of Transmission ◽  
Using Data

Twano Health Center is one of the technical implementing units of the Jayapura City Health Office which organizes Health Efforts, but the constraints regarding the facilities and infrastructure of the Puskesmas are not yet adequate in supporting health services. Based on observations, the increase in the level of malaria sufferers in the Jayapura area is caused by parasites (protozoa) of the genus Plasmodium and the mode of transmission is through the bite of a female Anopheles mosquito. There are two types of malaria that are often experienced by Jayapura residents, namely Tropical Malaria (Plasmodium falciparum) and Tertiana (Plasmodium vivax). The purpose of this study is to create an expert system that can diagnose early diseases such as an expert or doctor using the Certainty Factor method which expresses belief in an event (fact or hypothesis) based on evidence or expert judgment in early diagnosis of Tropical Malaria and Tertiana. The research subjects taken were 5 patients who had symptoms of Malaria and 1 doctor to determine the symptoms of the disease) The expert system using the Certainty Factor method was used because this method was suitable in determining the disease, and the result was a percentage which was the level of accuracy in determining the patient's disease. Determination of the percentage is influenced by the MB value (a measure of the increase in confidence) and the MD value (a measure of the increase in distrust) obtained from the assessment of an expert. For data modeling using data flow diagrams (DFD) and website-based. Total accurate patient recapitulation results are 80% of the Expert System for Early Diagnosis of Tropical Malaria and Tertiana using Certainty Factor

scholarly journals Early Detection of Diseases And Abnormalities In The Respiratory System Using Certainty Factor Method

2021 ◽  
Vol 4 (1) ◽  
pp. 23-34
Author(s):  
Mohammad Arman Prambudi ◽  
Achmad Muchayan
Keyword(s):  
Public Health ◽  
Expert System ◽  
Early Detection ◽  
Respiratory Disease ◽  
Respiratory System ◽  
Human Body ◽  
Certainty Factor ◽  
Factor Method ◽  
Level Of Confidence ◽  
Calculation Process

Health is a very important factor in the human body. If the health of ourselves is interrupted, it is also interrupted by someone to do the activity. There are several diseases that have a lot of sufferers. One of them is the disease of the respiratory system. Respiratory system is defined generally as a matter that disrupts the process of breathing in our body. Diseases of the respiratory system is one of the main problems of public health in Indonesia, because the disease is a human breathing. The expert system is a library of specialists or an expert in diseases of the respiratory system and the conditions used to take the conclusion of the symptoms. In the calculation process used the certanity factor method to find a percentage level of confidence. The Parameter used in the diagnosis is the symptom chosen by the sufferer. The conclusion of this application results in the diagnosis of the disease suffered and the percentage result of confidence through the selected symptoms.  Keywords: Respiratory disease, expert system, Certainty Factor  

scholarly journals Media Konsultasi Penyakit Kulit Pada Balita Menggunakan Metode Certainty Factor

2020 ◽  
Vol 3 (1) ◽  
pp. 10-17
Author(s):  
Sudi Utari ◽  
Uky Yudatama ◽  
Bambang Pujiarto
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Body ◽  
Skin Diseases ◽  
The Body ◽  
The Sun ◽  
Test Results ◽  
Certainty Factor ◽  
Factor Method ◽  
The One

The skin, which is the largest part  of the human body, is the body's first defense against bacterial and virus attacks. When the skin is exposed to the sun, dry weather, or bacteria, the reaction will spread to other parts of the body, and can even result in death if it is too late to be handled especially if the sufferers are children who are very vulnerable to disease. In this study an expert system was implemented to diagnose skin diseases in infants using the certainty factor method. certainty factor method is very suitable for expert systems that diagnose something that is uncertain. This system makes a diagnosis based on the symptoms felt by the user and then calculates certainty factors based on existing symptoms. Based on the test results by making comparisons between manual calculations and the one carried out by the system it is known that 90.22% of the diagnosis results get the same results so that the system is said to be suitable for use.  

scholarly journals Expert System for Chili Plants Disease Detection using Certainty Factor Method

2019 ◽  
Vol 9 (1) ◽  
pp. 1145-1151
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Disease Detection ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Delone And Mclean ◽  
The Creation ◽  
Design And Manufacture

This paper describes the creation of an expert system that is used to diagnose diseases in chili plants using a web-based certainty factor method. This expert system is made based on the weight of symptoms by experts so that users can find out the disease suffered by chili plants based on symptoms that arise. The symptom weight was calculated using the certainty factor method. This method is used to accommodate uncertainties that are often expressed by experts when detecting a disease. The design and manufacture of this expert system are done using the PHP programming language, MySQL database, CSS and the CodeIgniter framework. The results of the analysis between expert and expert systems have 87.09% compatibility level, and based on the calculation of the feasibility of the system with the Delone and McLean model shows that 77.58% of respondents agree Pakarcabaiku.com is a successful system for detecting chili disease.

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%.

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.

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