scholarly journals Sistem Pakar Diagnosa Penyakit Tanaman Bawang Merah Menggunakan Metode Certainty Factor

2020 ◽  
Vol 1 (1) ◽  
pp. 20-27
Author(s):  
Mohammad Fathor Rosi ◽  
Bakhtiyar Hadi Prakoso
Keyword(s):  
Early Diagnosis ◽  
Disease Diagnosis ◽  
Certainty Factor ◽  
Factor Method ◽  
Level Of Confidence ◽  
Lack Of Knowledge

The lack of knowledge of farmers and the unequal counseling about onion diseasefrom experts is a strong reason for the difficulty of overcoming or immediately treateddiseases of onions, for this requires early diagnosis of disease onion plants. Thisresearch uses the Certainty Factor method. This method uses the certainty of an experton the symptoms of each disease. By determining the value of MB (Measure ofBelieve) as the level of confidence in the hypothesis and MD (Measure of Disbelieve)the level of distrust of the hypothesis. After using the Certainty Factor formula, thevalue of each disease will be generated from the new symptoms owned by using thehighest value of each disease, so that is the result of disease diagnosis in shallots. Thisstudy uses as many as 35 data as testing and from these data obtained an accuracyvalue of 85.71%

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 Tuberculosis Disease Diagnosis Expert System Method of Certainty Factor

2020 ◽  
Vol 2 (1) ◽  
pp. 129-134
Author(s):  
Betti Mastaria Br Sembiring ◽  
Paska Marto Hasugian
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Disease Diagnosis ◽  
Certainty Factor ◽  
Disease Symptoms ◽  
System Method ◽  
Tuberculosis Disease Diagnosis ◽  
Tuberculosis Disease

Nowadays computers are widely used in the medical world to aid in the diagnosis of a disease. The most frequently encountered Penyakityang adalahpenyakitTuberculosis. Therefore, prevention of tuberculosis disease begins with diagnosing dini.Salah a technique in diagnosing tuberculosis disease is an expert system. Therefore research inibertujuan construct an expert system that is used for early diagnosis of Tuberculosis disease by gejalayang in anguish. The system displays the amount of credence to the possibility of disease symptoms yangdiderita users. The value of these beliefs using Certainty Factor, because the CF is able to determine the value of trust in a greater uncertainty and be able to demonstrate absolute confidence.

scholarly journals Expert System For Diagnosing Diseases In Children Under Five Uses Certainty Factor Based Websites

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Faiqotul Himma Ramadhanti ◽  
Ade Eviyanti
Keyword(s):  
Expert System ◽  
Medical Personnel ◽  
Certainty Factor ◽  
Children Under Five ◽  
Early Symptoms ◽  
Under Five ◽  
Factor Method ◽  
Lack Of Knowledge

Immunity in children under five is not as good and perfect as adult immunity. Therefore, children under five are susceptible to disease and easily contracted by adults. Lack of knowledge about the symptoms of a disease that attacks children under five can aggravate the situation and result in delays in treatment by medical personnel. Therefore, this expert system is made to make it easier for parents to recognize the symptoms of diseases that attack their toddlers. With this expert system, parents can find out the early symptoms of the disease that attacks their child. In making this expert system using a certainty factor method or a method that defines the measure of certainty of facts or rules to describe an expert's belief in the problem at hand. This expert system will diagnose the symptoms that the patient has previously selected. Then from the choice of these symptoms will be obtained using the value of expert confidence that has been stored in the knowledge. The results of this study were to build an expert system for diagnosing diseases in children under five using a certainty factor method based on a website. With this website, we can take advantage of today's technology to diagnose diseases in children under five. This website can make it easier for parents to consult because they can use it anywhere, effectively and quickly.

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 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 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 Expert System Diagnosis Dental Disease Using Certainty Factor Method

2017 ◽  
Vol 4 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Whisnu Ulinnuha Setiabudi ◽  
Endang Sugiharti ◽  
Florentina Yuni Arini
Keyword(s):  
Expert System ◽  
Measurement Accuracy ◽  
Technological Development ◽  
Disease Diagnosis ◽  
Dental Disease ◽  
Certainty Factor ◽  
Accuracy Rate ◽  
Human Needs ◽  
Factor Method ◽  
System Diagnosis

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate.

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%.

Sign in / Sign up

Export Citation Format

Share Document