scholarly journals Perbandingan Metode Certainty Factor dan Dempster-Shafer Pada Sistem Pakar Diagnosa Penyakit Gigi dan Mulut

2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Muhammad Husni Rifqo ◽  
Dedy Agung Prabowo ◽  
Muflih Haura
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Dental Health ◽  
Evidence Based ◽  
Belief Functions ◽  
Oral Diseases ◽  
Certainty Factor ◽  
Healthy State ◽  
Java Program ◽  
Dental Diseases

Health is one of the essential human requirements in addition to food, housing and education, because only in a healthy state humans can live, grow and work better. Numerous people who are less concerned about health, especially on oral and dental health because of dental and oral diseases can strike anyone and anytime. Certainty factor is a method to prove whether a fact is certain or uncertain in the form of metrics that are usually used in expert systems. This method is just righ for expert systems that diagnose something uncertain. Dempster-Shafer is a mathematical theory for evidence based on belief functions and plausible reasoning, used to mingle separate pieces of information (evidence) to estimate the probability of an  event. Thus, appear a problem on how to make expert system with  two comparison of certainty factor and dempster-shafer methods on the expert system diagnosing dental and dental diseases. The objective of the research was to contribute a solution by building an application that can determine the dental and mouth disease fast and efficient. It is hoped that this application can be developed into another cases so that it extend the insight of smarthphone based java program.

scholarly journals Application of Certainty Factor Method For Diagnosis Expert System Skin Diseases In Humans

2020 ◽  
Vol 2 (2) ◽  
pp. 191-194
Author(s):  
Selvia Katarina Waruwu ◽  
Agustina Simangunsong
Keyword(s):  
Expert System ◽  
Skin Diseases ◽  
Dental Health ◽  
Public Awareness ◽  
Oral Disease ◽  
Sources Of Information ◽  
Certainty Factor ◽  
The People ◽  
Thought Patterns ◽  
The Many

Dental disease is one of the many health problems Complained of by the people of Indonesia. Dental health is a reflection of human health. Lack of knowledge and limited sources of information on oral health have the caused public awareness to maintain oral and dental health is still low .. The development of one of the fields of information technology namely artificial intelligence has been Widely applied in various fields of life. In this study, the dental and oral disease expert system uses the Dempster Shafer method to control inferences that Contain thought patterns and reasoning mechanisms used by experts in solving problems.

scholarly journals Diagnose Expert System Computer Malfunction Certainty Factor Method

2020 ◽  
Vol 2 (1) ◽  
pp. 63-71
Author(s):  
Djouking Kiray ◽  
Fricles Ariwisanto Sianturi
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Base ◽  
Base System ◽  
Certainty Factor ◽  
Factor Method ◽  
Knowledge Base System ◽  
Two Factors ◽  
Computer Based

An expert system is a knowledge base system that solves problems using an expert's knowledge that is entered into a computer, thereby increasing productivity, Because an expert can work faster than a human lay works like an expert. Expert systems Also solve problems by imitating the ways in the which an expert expert offer section with problems in his field, one of the which is in the field of computer repair, the problem of computer damage Becomes a fairly complicated problem, this problem is Generally experienced by individuals and institutions. One of them is in school institutions that have computer laboratories. to diagnose computer use can damage the certainty factor method that helps identify damage to the computer and find the cause of damage to the computer based on the symptoms that occur and the solution to repair it. Certainty Factor is one of the techniques used to deal with uncertainty in decision making. In dealing with a problem, answers are Often found that do not have full certainty. This uncertainty is influenced by two factors items, namely the uncertain rules and user uncertain answers. Uncertain rules are rules of symptoms that are determined for a damage.

scholarly journals SUCCESSFUL IMPLEMENTATION OF THE VOLUNTEER PROJECT “HAPPY SMILE” AT THE DENTAL FACULTY OF USMU AS A PART OF THE EDUCATIONAL PROCESS

2020 ◽  
Vol 16 (2) ◽  
pp. 164-171
Author(s):  
Elena Svetlakova ◽  
Yuliya Mandra ◽  
Sergey Zholudev ◽  
Marina Haritonova ◽  
Anastasiya Kotikova ◽  
...  
Keyword(s):  
Dental Health ◽  
Age Groups ◽  
Educational Process ◽  
Professional Competencies ◽  
Successful Implementation ◽  
Oral Diseases ◽  
Preventive Program ◽  
Dental Diseases ◽  
Medical University

Subject. In 2017, the “Happy Smile” project was developed at the dental faculty of the Ural State Medical University and its active implementation began, during which teachers and students conduct preventive measures in educational institutions, shopping centers, hospitals of the city. The goal is to increase the literacy of the population in relation to the prevention of oral diseases, as well as the quality of life of the population by reducing the level of dental morbidity, the formation of professional and super-professional competencies of a modern graduate dentist. Methodology. According to WHO, the prevalence of dental diseases does not tend to decrease. An urgent task today is the development of programs and projects aimed at the health of the population. Results. In 2017, the staff of the Department of Therapeutic Dentistry and Propaedeutics of Dental Diseases of the Ural State Medical University took the initiative to create a Happy Smile preventive project at the faculty. The main objectives of the project were: the creation of a comprehensive preventive program covering all age groups of the population; carrying out activities aimed at updating the preservation and maintenance of dental health; improving the quality of medical (dental) education by involving students in medical volunteering; expansion of the territory of events to nearby cities of the Sverdlovsk region. Conclusions. Participation in the project forms significant professional and supra-professional competencies of students, which helps to improve the quality of training of future dentists. The involvement of students in the implementation of the project will increase their relevance in the labor market. Implementation of the project is a health-saving technology that reduces dental incidence in Yekaterinburg and the Sverdlovsk Region.

scholarly journals Android Based Expert System Application for Diagnose COVID-19 Disease: Cases Study of Banyumas Regency

2020 ◽  
Vol 1 (2) ◽  
pp. 26
Author(s):  
Rosyid Ridlo Al Hakim ◽  
Erfan Rusdi ◽  
Muhammad Akbar Setiawan
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Confidence Level ◽  
Certainty Factor ◽  
Global Pandemic ◽  
Android Os ◽  
The Status

Since being confirmed by WHO, the status of COVID-19 outbreak has become a global pandemic, the number of cases has been confirmed positive, cured, and even death worldwide. Artificial intelligence in the medical has given rise to expert systems that can replace the role of experts (doctors). Tools to detect someone affected by COVID-19 have not been widely applied in all regions. Banyumas Regency, Indonesia is included confirmed region of COVID-19 cases, and it’s difficult for someone to know the symptoms that are felt whether these symptoms include indications of someone ODP, PDP, positive, or negative COVID-19, and still at least a referral hospital handling COVID-19. Expert system with certainty factor can help someone make a self-diagnose whether including ODP, PDP, positive, or negative COVID-19. This expert system provides ODP diagnostic results with a confidence level of 99.96%, PDP 99.99790%, positive 99.9999997%, negative 99.760384%, and the application runs well on Android OS

scholarly journals Implementasi Metode Forward Chaining, Certainty Factor dan Dempster Shafer pada Sistem Pakar Diagnosis Penyakit Gigi dan Mulut

2021 ◽  
Vol 5 (2) ◽  
pp. 92-102
Author(s):  
Siti Nurajizah ◽  
Ita Yulianti ◽  
Elin Panca Saputra ◽  
Rani Kurnia Dewi
Keyword(s):  
Information System ◽  
Expert System ◽  
Public Awareness ◽  
Oral Disease ◽  
Oral Diseases ◽  
Certainty Factor ◽  
Insufficient Information ◽  
Forward Chaining ◽  
The People ◽  
The Impact

Dental and oral disease is one of the diseases that has been felt by most of the people. Insufficient information and the limited level of public awareness of the prevention of dental and oral diseases make the impact quite dangerous if not handled properly. An appropriate information system is needed in overcoming and providing solutions for handling a disease as early as possible. Expert systems can be used as a means of information on the treatment of dental and oral diseases. The manufacture of the expert system in this study initially used the forward chaining method, which is a method that searches based on information that is made into a set of rules so as to get a conclusion. However, after re-analysis, two other methods, namely certainty factor and dempster shafer, were also applied in this study with the aim of overcoming the shortcomings of the forward chaining method, one of which is uncertainty in producing a conclusion or diagnosis of disease. Determining the type of dental and oral disease can be known by looking at the symptoms experienced by the patient. The use of an expert system for diagnosing dental and oral diseases can be used as an initial solution in helping someone to treat the disease. The existence of this expert system can be used as consideration in making decisions to determine the type of dental and oral disease quickly, precisely and accurately.

Pest Plant Disease Prevention and Identification System Using Certainty Factor Method

2018 ◽  
Vol 7 (3.2) ◽  
pp. 763 ◽  
Author(s):  
Robbi Rahim ◽  
Nuning Nurna Dewi S ◽  
M Zamroni ◽  
Lilla Puji Lestari ◽  
Muh Barid Nizarudin Wajdi ◽  
...  
Keyword(s):  
Expert System ◽  
Disease Prevention ◽  
Expert Systems ◽  
Knowledge Base ◽  
Plant Disease ◽  
Expert Knowledge ◽  
Identification System ◽  
Certainty Factor ◽  
Factor Method

Diseases in plants are something that can happen to many plants either caused by pests or other factors, the disease in plants can be detected based on the symptoms that appear on the plant before spreading to all plants, to recognize the symptoms and types of diseases contained in plants require plant experts or also by applying expert systems with expert knowledge base applied to the system by using certain methods such as certainty factor method. Expected results with the availability of this expert system to the user can help many users to detect diseases in plants.  

scholarly journals Expert System in Identifying Tooth Damage in Children Using Forward Chaining and Certainty Factor Methods

2020 ◽  
Vol 2 (3) ◽  
pp. 1-6
Author(s):  
Rahmad Dian ◽  
Sumijan Sumijan ◽  
Yuhandri Yunus
Keyword(s):  
Expert System ◽  
Dental Health ◽  
Tooth Decay ◽  
Prevention Measures ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Early Action ◽  
Long Term Effect ◽  
Disproportionate Number

Tooth decay in children is one of the most common problems found. This damage has a long-term effect on children's dental health. The limitation of expert doctor's service hours and the disproportionate number of doctors and patients makes the service to patients not optimal. Then we need an expert system to help the role of expert doctors in diagnosing tooth decay. One of them carried out treatment or prevention measures from the start. In this study forward chaining and certainty factor methods are used, in which this expert system can assist an expert in diagnosing tooth decay based on the symptoms experienced by the patient. The forward chaining method will be collaborated with the certainty factor method to calculate the accuracy of the type of tooth decay experienced. The use of these two methods aims to provide better results in overcoming or preventing tooth decay in children. From the test results obtained knowledge for patients in dealing with or preventing tooth decay with an accuracy rate of 91.20%. The application of an expert system can be used for early action in overcoming or preventing tooth decay in children.

scholarly journals Pengaruh Dental Health Education Cara Menyikat Gigi disertai Demonstrasi terhadap Tingkat Pengetahuan Kebersihan Gigi pada Siswa Kelas V SDN Padangdangan 1

2021 ◽  
Vol 18 (2) ◽  
pp. 65
Author(s):  
Zakiyah Yasin
Keyword(s):  
Health Education ◽  
Dental Hygiene ◽  
Dental Health ◽  
Sampling Technique ◽  
Oral Disease ◽  
Rank Test ◽  
Control Group ◽  
Oral Diseases ◽  
Dental Diseases ◽  
The Right

Dental and oral disease are still become health problem in Indonesia. Dental and oral diseases greatly affect the degree of health, growth process and even the future of children. Data about dental diseases on Indonesian children, indicates that condition is already at worried stage. Research of effective health education about dental hygiene to toddler children needed. This study aim is to determine the influence of DHE against knowledge of dental hygiene on Grade V students in SDN Padangdangan 1. The method of this study was quasi experiment, use Pretest- Postest Control design. This study was conducted in SDN Padandangan 1 with total population was all of Grade V students in SDN Padandangan 1. The sampling technique in this study was total sampling with number of respondents was 32 divided by two groups, there were control group and implementation group. The data collected by using questionnaires. The result of this study shows that before DHE applicated to implementation group, students have less knowledge, that was 9 students (56,2%) and after DHE applicated, value of students’ knowledge was increase, that was 16 students (50,0%). The result of Willcoxon Sign Rank Test detired P = 0,005 (p<α), administering DHE through good and correct teeth rushing demonstration to Grade V students can increase the value of students’ knowledge. Dental health education is the right way to brush your teeth by using an interesting tool, such as phantom mannequin that can make attention from educator. Direct practice echnique is also involves many senses so the material from educator was more touches long erm memory.

scholarly journals Sistem Pakar Mendiagnosa Penyakit Saraf Pusat Manusia Dengan Metode Certainty Factor

2019 ◽  
Vol 4 (1) ◽  
pp. 28
Author(s):  
Nelasari Situmeang ◽  
Sulindawaty Sulindawaty
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Neurological Disorders ◽  
Certainty Factor ◽  
Nervous Disease ◽  
Factor Method ◽  
Use Of Technology ◽  
The Central Nervous System ◽  
The Brain ◽  
Nerve Disease

  Abstract— Central nervous disease is a group of neurological disorders that affect the structure or function of the brain or spinal cord, which collectively form the central nervous system. Society in general there are still many lay people who do not understand nerve health, so many of them ignore the symptoms experienced and may be a symptom of central nervous disease. This may be due to the high cost of consultation, and not to mention doctors who are difficult to find due to time invoices. In various fields the use of technology has developed rapidly, one of which is in the field of health, one of which is the use of expert systems. Expert systems are computer programs that present and reason with the knowledge of several experts to solve problems or provide solutions. The development of technology such as expert systems is of course also supported by methods of diagnosing, such as the Certainty Factor Method. To create an expert system that can help the community in consultation about the central nervous disease experienced by the Expert System to Diagnose Human Central Nerve Disease Using the Certainty Factor Method.

scholarly journals Sistem Pakar Diagnosa Penyakit Tanaman Rambutan dengan Metode Forward Chaining dan Certainty Factor Berbasis Android

2020 ◽  
Vol 5 (3) ◽  
pp. 329
Author(s):  
Bayu Abrianto Risnadi ◽  
Fauziah Fauziah ◽  
Ratih Titi Komala Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Confidence Level ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Calculation Results ◽  
Manual Calculation

The purpose of this research is to create an expert system application to diagnose diseases in the rambutan plant that can be accessed anytime and anywhere so that the handling of the disease can be done appropriately. The Forward Chaining and Definity Factor methods are used because they are very suitable for expert systems that diagnose something that is uncertain so that the manual calculation results from the symptom data and the existing expert values result in a 98.91% confidence level percentage, and solutions are given to treat disease-stricken plants. The implementation uses Android Studio so that the application can run dynamically on various devices so that farmers can immediately find out what is happening with the conditions of their rambutan plants directly.Keywords:Rambutan Plant, Expert System, Android, Forward Chaining, Certainty Factor.

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