Certainty Factor Method Research Articles

Decision-Making System for Selection of Majors in Higher Education Using the Certainty Factor (CF) Method for Web-Based High School Students

Various information about college majors has been widely available in print media and on the internet so as to make it easier to get that information. However, the information provided only provides a general description, such as profile, costs, location, and other general information. This information has not fully helped provide input on majors that match the abilities, interests, and preferences of prospective students. the objectives of this research are; to determine the Decision-Making System for Selection of Departments in Higher Education Using the Certainty Factor (CF) Method for Web-Based High School Students, and design a prototype of the Decision-Making System for Selection of Departments in Higher Education Using the Certainty Factor (CF) Method which runs on various operating systems. Based on the results of research and testing on the design of the Decision-Making System for the Selection of Departments in Higher Education using the Certainty Factor (CF) Method for Web-based High School Students that has been carried out by the author, several conclusions can be drawn, namely; This study succeeded in making an expert system design for the selection of majors in higher education for high school students using the Certainty Factor (CF) method and this study succeeded in analyzing the results of the IF THEN ELSE calculation using Certainty Factor (CF).

System Deteksi Gingivitis Gigi Menggunakan Certainty Factor

Gingivitis is a disease in the form of abnormalities in the gingiva that can cause bleeding accompanied by swelling, redness, exudate, changes in normal contours which are sometimes considered normal by some patients even though it is considered serious by the Health Department. This study aims to educate the public in understanding the importance of knowing the condition of the body, especially the teeth that are most vulnerable to experience by the community. The lack of time required for consultation with experts resulted in this disease being left unattended. So it is necessary to develop IT-based consulting in the form of an expert system. The system is built using the certainty factor method. Certainty factor works by reading all the data submitted by the expert and gives the result in the form of the percentage of confidence the patient has gingivitis. Experts used in this system are dentists / dental specialists. The data were obtained from direct experts and the results of the consultations obtained new knowledge in the form of the percentage of the patient's confidence level with gingivitis. Data collection was obtained from Acute Gingivitis, Sub-Acute Gingivitis, Recurrent Gingivitis and Chronic Gingivitis as well as symptoms and solutions obtained from experts. This study contributes to a new service for patients who experience dental disease (gingivitis) without having to come directly to an appointed specialist. The level of accuracy of this system is quite helpful because the data source comes from direct experts so that the solution obtained can be an initial reference for patients before further treatment is carried out. The results of the study were in the form of softcopy and hardcopy that could be used as needed, based on the test data given to the patient, a 95% confidence level was obtained for the system trial results based on the patient's condition at that time. So that the results of the consultation are obtained in the form of information about the disease and the desired solution.

Sistem Pakar Menentukan Kelas Anak Berkebutuhan Khusus dengan Metode Certainty Factor pada SLB Negeri Serdang Bedagai

Parents need to understand the child's condition from an early age, pay attention to the behavior of children who are growing normally in general so that they can take various actions and also other things that are considered important related to the child's future. Choosing to enroll children in special schools is certainly supported by the daily lives of children who do require special behavior in studying school learning. The formulation of the research problem is to determine the class of children with special needs using the Certainty Factor method based on the diagnosis of symptom and characteristic data that can help teachers and parents get information about the types of characteristics of children with special needs students at the State Special School (SLBN) Serdang Bedagai. The characteristics of children with special needs according to the data on the number of symptoms and characteristics discussed are 52 symptoms and 5 characteristics. (Autism JK01, Tuna Grahita JK02, Deafblind JK03, Blind JK04, Tuna Daksa JK05. This application can help teachers and parents find out the characteristics of children with special needs quickly and accurately. This application can be used in every special school to determine early knowing the types of characteristics of children with special needs

Sistem Pakar Mendiagnosa Penyakit Ayam Kampung Dengan Menggunakan Metode Certainty Factor Berbasis Web

Poultry farming in Indonesia is still not successful in meeting some of the domestic needs, including being vulnerable to attacks by dangerous animal diseases. People are also restless because of dangerous diseases from chickens that can be transmitted to humans due to consuming chicken meat that has been infected with the disease. The case study in conducting research to diagnose free-range chicken disease was carried out at the Bang Ari Chicken Farm on Jalan Jamin Ginting Pamen Complex No.14 Padang Bulan, Medan Baru District, Medan City. The required criteria data is the type of disease and symptoms of the disease that attacks native chickens as well as the treatment actions that will be taken against the diseased chickens according to the disease experienced. This study aims to build a web-based expert system in diagnosing free-range chicken diseases using the certainty factor method. From the case example, the results of the calculation of certainty factor on the symptoms of free-range chickens, the disease that has the largest percentage value is P 7, namely Chronic Cough Disease of 97.50%. The system for diagnosing free-range chicken disease was built using a web-based programming language and MySQL database.

Sistem Pakar Diagnosa Penyakit Lambung Berbasis Website Menggunakan Metode Forward Chaining & Certainty Factor

Gastric disease is a disease that cannot be underestimated, because if left unchecked it can result in other diseases appearing and can also cause death if not treated immediately. Diseases of the stomach can be caused by an inappropriate diet, a burden on the mind and also infections caused by bacteria. The little public knowledge of the early symptoms of gastric disease is the author's background to create a system that helps the public in obtaining information, consultation or initial treatment for gastric diseases without having to meet in person. The ability of an expert who can diagnose stomach diseases can be implemented into an application system. The methodology used in making the Gastric Disease Diagnosis Expert System Website is waterfall, namely analysis, design, implementation and testing. The testing phase focuses on the functional specifications of the program. In this Expert System, it uses the Forward Chaining method as reasoning and the Certainty Factor method to calculate the results of the yield trust. Hasil testing shows that this website can perform its function to diagnose gastric diseases. The test results are obtained from the inputs made by visitors by selecting the options that have been given and then will get the test results.

An Expert System to Diagnose Diseases Caused by Coxsackie Virus in Children

The purpose of this study is to create an expert system application that can be used to diagnose diseases caused by the coxsackie virus in children using the certainty factor method. Viral infectious disease is a collection of types of diseases caused by viruses that easily attack children. Diseases that often occur in children are caused by very vulnerable viruses, this is because the immune system in the child's body has not been fully developed. One of the viruses that often attack children, among others, is the Coxsackie Virus. Coxsackie is a type of disease caused by the Coxsackie virus, which is a type of RNA virus. This virus is transmitted through the fecal oral route, namely bacteria from feces or feces that move from one person to another and enter the mouth of the other person. This system is designed using PHP Programming Language and MySQL Database. With this expert system, it is easier for users to consult about diseases caused by the Coxsackie Virus in children.

Implementasi Metode Certainty Factor pada Sistem Pakar Bimbingan Konseling Siswa Bermasalah

The main thing in the development of education is the quality of education. One of the determinants of the quality of education is counseling guidance. The problem so far is that most students who have problems feel embarrassed in doing counseling directly to the BK teacher and usually consult with their friends so that they cannot solve the problems they face. This makes it difficult for BK teachers to deal with student problems, so we need a system that can help and solve problems experienced by students. The purpose of this study is to design an expert system that overcomes the problems suffered by students using the certainty factor method that can provide solutions based on the types of problems suffered by the students. The expert system development methodology in this study uses the waterfall methodology which consists of needs analysis, design, coding, and testing. The result of this research is in the form of an expert system application for counseling problem students who apply a web-based certainty factor method that can make it easier for students to find out the types of problems they face based on the problems symptoms entered. This study concludes that the expert system application that was built has a good level of convenience based on the results of usability testing using the SUS (System Usability Scale) method of 76.5%.

The implementation of forward chaining and certainty factor methods to examine the covid-19 vaccination eligibility

Screening for the COVID-19 vaccination is an important and mandatory step to ensure the eligibility status of each candidate for vaccination. The main obstacle experienced was the ineffective screening process (a long process) that resulted in the accumulation of patients. Sometimes it takes one to two hours from registration to receiving the vaccination paper. This situation certainly causes discomfort for both participants and vaccinators. Therefore, the presence of an expert system is needed to overcome these obstacles. The expert system plays a role in simplifying service flow and shortening service time. This article discusses the application of the Forward Chaining method to formulate screening parameters so that they can be used to accurately determine vaccination eligibility. Based on the results of interviews with experts (expert doctors who handle vaccination), 12 rules were obtained from the formulation of 20 historical parameters, which will then serve as a knowledge base for the Covid-19 vaccination screening expert system. The test is carried out by comparing the results of expert screening diagnoses with an expert system using 15 samples of test data. The test results using the Certainty Factor method show that the confidence level is 84% to 99%.

Expert System for Diagnosis of Pepper Plant Diseases Using Certainty Factor and Naïve Bayes Methods

Development expert system for diagnosis of pepper plant diseases using certainty factor and naïve bayes methods. Pepper is one type of plant that has long been traded on the European market. So that increasing the quality and quantity of pepper production is the main demand. However, diseases in pepper plants are also familiar to be found so that they can be detrimental to farmers and besides that, agricultural workers who are experts in the field of pepper plant diseases are still limited. Therefore, to overcome this problem, an expert system application is designed where this system can provide information about diseases that attack pepper plants, then provide suggestions or solutions to deal with these diseases. The purpose of this research is to build and design an expert system that is useful for determining pepper plant diseases and to apply certainty factor and nave Bayes methods in providing answers to the results of the consultation. The results of this study are expected to make it easier for users, especially farmers or farm workers in overcoming diseases in pepper plants.

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

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

Sistem Pakar Diagnosa Tingkat Depresi Pada Lansia Di Balai Sosial Tresna Werdha Menggunakan Metode Certainty Factor

Depressive disorder in the elderly is a clinical and public health issue that has yet to be addressed.
 The elderly who live at home with their families have better physical, psychological, and environmental health than those who live in orphanages. Mental health issues, particularly depression, frequently go undiagnosed in the elderly. This is because older people who are depressed often have physical symptoms like insomnia, loss of appetite, stomach problems, and headaches. When older people are depressed, their bodies tend to hurt more. It is hard to tell whether someone is complaining about their body or mind, so depression is often found too late. To anticipate these issues, an expert system was created that can take the place of an expert in solving the problem. A clinical psychologist is an expert in the field of elderly depression. This study classified elderly depression into three levels: mild depression, moderate depression, and major depression. This study was carried out with the help of a case study from the Tresna Werdha Pakem Social Center in Sleman, DI Yogyakarta.The Certainty Factor method was used to make an expert system for determining how depressed an older person is. This is because it is a sure thing based on evidence or an expert's opinion. The goal of developing an expert system for diagnosing depression in the elderly is for expert and non-expert officers to diagnose the level of depression in the elderly. Based on 10 elderly data that the system and experts have tested by applying the Certainty Factor method, the accuracy was 98%.

Using Expert System Application to Diagnose Online Game Addiction in Junior High School Students: Case Study in Five Big City in Indonesia

The development of computer technology gradually increases. An artificial intelligence-based system also begins to be developed and used in various fields. One product of artificial intelligence is an expert system, used for psychological field. This study aimed to explain and describe the using of expert system to diagnose online game addiction to Junior High School Students. This is based on online game addiction phenomenon happening to Indonesian student especially in Junior High School. The implementation of this expert system used certainty factor method. Steps for developing this system were divided into four, namely designing expert system or architecture of expert system, representing knowledge, designing database, and testing and implementing the system. The results indicate that this system is divided into two domains, including user and admin. The user domain is provided for users who are willing to do online consultations using system expert application. Meanwhile, the admin domain is provided for an admin to manage each datum and question from the user who conducts an online consultation. From 1000 samples, it is obtained that 69% amongst total samples of Junior High School Student have a low-level addiction to online game, 25% experience medium-level addiction, and 6% are highly addicted.

IMPLEMENTASI ALGORITMA BREADTH FIRST SEARCH DAN METODE CERTAITY FACTOR PADA SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN CABAI

Abstract
 
 The Department of Agriculture, Food Crops and Horticulture, Regency of Lima Puluh Kota recorded a decrease in chili production every year which can cause direct losses to farmers. This is due to the presence of diseases that can reduce the quantity and quality of yields, increase production costs, and reduce the ability of farming businesses. To overcome this problem, the Department of Agriculture, Food Crops and Horticulture has deployed agricultural extension workers (PPL) as communicators for development who are expected to play multiple roles, as teachers, mentors, advisors, information providers and farmer partners. In Fifty Cities District, the number of existing agricultural extension workers is 104 people. They foster 166,157 farmers with an area of 22,282 ha and plantation area of 28,150 ha who are members of more than 1,400 farmer groups spread over 410 jorong, 79 nagari, and 13 sub-districts in Lima Puluh Kota Regency. Because the extension workers are not comparable with the number of regions, the extension process, the performance of the extension workers, and the knowledge that will be conveyed to farmers are not optimal. Therefore, a system was designed, namely an expert system for diagnosing chili plant diseases using the CF (Certainty Factor) method and the BFS (Breadth First Search) algorithm. Which serves to assist the community in conducting consultations without having to meet a disease expert or wait for counseling.
 
 Keywords : Expert system, Certainty factor, Breadth fisrt search, Chili plants

Analisis Aritmia (Gangguan Irama Jantung) Menerapkan Metode Certainty Factor

The heart is one of the most important organs for humans that functions to pump oxygenated blood, the heart can experience problems, one of which is arrhythmia, arrhythmia is a heart rhythm disorder or pattern of rapid changes from a normal heart rate. Heart rhythm disturbances (arrhythmias) are patterns of rapid change from the normal heart rate. This becomes a problem when not handled properly and correctly because it can cause disruption of the heart's function, even in more severe cases it can cause sudden death. An expert system is one of the artificial intelligence of humans that studies how an expert thinks in solving a problem, making decisions or drawing conclusions from a number of facts. An expert system is a system that adopts the expertise of an expert that can be used to overcome certain problems, one of which is diagnosing arrhythmias. This study applies Certainty Factor analysis which can provide additional knowledge to the public, especially knowledge on heart disease. So that arrhythmia analysis with this certainty factor method can be applied to a system that helps the general public in preventing and overcoming heart rhythm disorders

Talent Management Employee Development by Using Certainty Factor Method of Expert System

Talent management is a factor that determines success in the business environment because talent management requires quantitative and qualitative skills. This study aims to implement the certainty factor (CF) method of an expert system for employee development talent management. This research using a certainty factor (CF) method to design an expert system framework. Due to the focus on our research aim, we provide a certainty factor calculation with mathematical modeling for calculating talent management employee development in X Company. The confidence level is 93.55% for a recommendation of not promotion of the job; for 52.38% is a recommendation that can be proposed for promotion, but HRD will evaluate in some time; for 98.73% is a recommendation for promotion of the job. We used CF calculation that can provide the level of confidence (in %). The calculation of the certainty factor (CF) method can be used for recommending job promotion in some companies.

Implementasi Metode Forward chaining dan Certainty factor dalam Mendiagnosa Autisme Anak Berbasis Web

Lack of parental or community knowledge of the symptoms of autism in their children results in neglected early detection. This of course can be too late in the treatment of autism in the future. Therefore, this study aims to design a web-based expert system for diagnosing children's autism. The development model used to design an autism expert system in children is a waterfall and implements the forward chaining method and the certainty factor method. While the data collection methods consisted of interview methods and literature study methods. From the results of the calculation test, it is concluded that the results of manual calculations and the web-based application of an expert system for autism diagnosis in children are the same as the results of the 98% confidence level. With this web-based autism expert system in children, it is hoped that it can help parents or the community to detect autism in their children early on.Keywords:Autism, Expert System, Web Based, Forward chaining Method, Certainty factor Method.

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

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.

Susceptibility assessment of debris flow from Baoxing River basin in Lushan earthquake zone, China

As one of the prevalent natural disasters, debris flow often occurs in mountainous areas and causes severe property losses. This study primarily focuses on describing the spatial distribution of debris flow in the Baoxing River basin in the Lushan earthquake zone, Sichuan Province, and then a susceptibility index map. Geographic information systems (GIS) and certainty factor (CF) method were used to establish the relationship between debris flow sub-basins and six predisposing parameters: elevation, slope angle, slope aspect, geologic periods, lithology, and NDVI (normalized difference vegetation index). The results show that elevations above 2400m, slopes from 20° to 45°, slope aspects of east, south-east, and south, geologic periods of Sinian, Ordovician, and Carboniferous, NDVIs of -1 to 0.2, lithology areas such as pyroclastic and carbonate of sedimentary rock, and metamorphic rock containing mafic and magnesian are the special conditions that cause debris flows. Furthermore, it has higher susceptibility potential for the combination of topography and geological parameters, including these predisposing parameters of elevation, slope angle, slope aspect, geologic periods, and lithology, than other combinations. The debris flow susceptibility assessment results show that the moderate and above susceptibility area accounts for around 94% of the total basin area or 51.5% of the study area; more than half of the study area is debris flow-prone, indicating that debris flows are quite active in the study area.

Implementasi Metode Certainty Factor dalam Mengetahui Kerusakan Sepeda Motor Type Injeksi

Motorcycles are the main means of transportation that many people use to support their activities. Before the development of technology, motorcycles still use carburetors. However, motorcycles that still use the carburetor system are still considered wasteful. With the development of technology, currently there is a Yamaha brand motorcycle with an injection system that is able to supply gasoline according to the engine's needs. Motorcycles with injection technology are much more efficient than motorcycles with carburetor technology, besides being economical, this type of motorcycle has reliable engine performance and power. However, there are often obstacles that cause damage to Yamaha injection motorcycles so that they interfere with user activities. An expert system is a system that adopts the expertise of an expert expert in a particular field into a computer system or program that is presented with a display that can be used by users who are not experts so that with this system users can make decisions or determine policies like an expert in solving problems. problem. The Certainty factor method is used to obtain the certainty value of the type of damage from an injection motorcycle expert, so that the user also gets a certainty value of damage from the selected symptoms from expert experience. The results of the diagnosis on the expert system that have been made that if the user checks for symptoms such as the engine stuttering when the gas is turned on, the electric starter is difficult/not lifting, the engine is difficult to start when using the kick starter, the exhaust often emits an explosive sound, it can be concluded from the results of the analysis that The damage is on the spark plug with a value of MB = 0.99, MD = 0.22 and a Certainty Factor value of 76.66%. The results of diagnostics that have been carried out by visitors or mechanics can be accessed again by entering the email in the database

Sistem Pakar dalam Menganalisis Penyakit Kelenjar Getah Bening Menggunakan Metode Certainty Factor

In general, a person is difficult do dermine whether a lump or swelling of the lymph nodes in the body, is just a normal lump or whether it has become cancer. If the lumph does not go away whitin a few days, the patient is required to immediately consult a doctor to get detailed information about the disease and how to treat it. Lymph nodes scattered in the human body are round and are part of the lymphatic system that plays a role in fighting viruses that enter the body. The cause of these enlarged lymph nodes can be due to the type of food consumed, congenital disease in the patient’s body (comorbid), infection to lymph node cancer (lymphoma). For this reason, an Expert System is needed by applying the Certainty Factor method in order to assist the public in analyzing lymph node disease by answering several questions regarding the symptoms experienced. This system is implementad using the PHP programming language and MySQL database. The result of this study show that the Certainty Factor method can work well in the Expert System analysis process. From the result of system trials with several patient data, the disease accuracy rate in the patient named S is 63% and the disease accuracy rate in the patient named MR is 68%. Besides being useful for an expert, this Expert System can help patients to find out the type of disease they are suffering from, the accuracy of disease, the method of treatment and a guide for making decisions.