scholarly journals Expert System in Accuracy to Identify Gingivitis in Humans Using the Certainty Factor Method

2020 ◽  
pp. 97-103
Author(s):  
Cyntia Lasmi Andesti ◽  
Sumijan Sumijan ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Connective Tissue ◽  
Medical Records ◽  
Negative Impact ◽  
Dental Health ◽  
The Body ◽  
Certainty Factor ◽  
Know How ◽  
Factor Method ◽  
Accuracy Level ◽  
Processing Steps

Gingivitis is a common inflammatory disease of the gums, which is a condition where bacteria develop in the mouth that causes damage to the connective tissue cells that are attached to the teeth. Lack of awareness in caring for teeth will have a negative impact not only on dental health but also on the health of the body. At present many people do not know how to accurately identify gingivitis in humans so that the condition is worsened and can even cause the paralysis of the existing connective tissue. This study aims to determine the level of accuracy in identifying gingivitis by using the Certainty Factor method precisely and accurately. The data processed in this study are fifty data sourced from expert interviews at Rahmatan Lil Alamin Clinic, Padang Indonesia. There are several types Symptoms refer to gingivitis in humans. The data is obtained from the results of medical records of patients who carry out examinations in the clinic. The data will be processed to identify the type of gingivitis based on the direction of the expert. The processing steps are solving rules, determining the weight value of each symptom and calculating the Certainty Factor value. The results of the processing were continued by calculating the level of accuracy. The results of the testing of this method were that 96% of them had gingivitis, the type most often suffered by marginal gingivitis patients. Based on the signs entered by the user. The results of this test have been able to specifically identify gingivitis, using the Certainty Factor method, the results of the accuracy level obtained are quite accurate and can be recommended to help dentists improve their accuracy in identifying gingivitis in humans.

scholarly journals Sistem Pakar Menggunakan Metode Certainty Factor dalam Menganalisis Penyakit Karies Gigi pada Manusia

2021 ◽  
pp. 209-214
Author(s):  
Fajri Ilhami Andrean ◽  
Y Yuhandri
Keyword(s):  
Dental Caries ◽  
Medical Records ◽  
Tooth Enamel ◽  
Dental Health ◽  
Data Sets ◽  
Test Results ◽  
Severe Damage ◽  
Certainty Factor ◽  
Processing Steps ◽  
Method Show

Caries is a dental disease that is often found, which is a disease of the hard tissues of the teeth in the form of continuous loss of mineral ions on the surface of tooth enamel, which is mostly caused by bacterial metabolism. A low level of awareness in caring for teeth causes a bad impact on dental health and on body health. At present time, people generally do not have knowledge of analyzing dental caries disease, which can later cause severe damage to teeth, such as the death of the dental pulp. This study aims to analyze caries disease using the Certainty Factor method. In this study, 50 data sets were processed, obtained from interviews with experts at the Rahmatan Lil Alamin Clinic, Padang, Indonesia. They found several factors that cause dental caries disease in humans. The data was obtained from the medical records of patients who had undergone an examination at the clinic. The data is used to analyze the type of caries disease based on the guidance of the expert. The processing steps carried out are solving the rule, determining the weight value of each symptom and calculating the Certainty Factor value. The results obtained after testing this method show that there are 94% of people who suffer from caries disease, the type most often suffered by patients with superficial caries. The test results can analyze caries disease specifically, thus the expert system used can be recommended to help dentists analyze dental caries disease in humans.

scholarly journals Sistem Pakar Menggunakan Metode Certainty Factor dalam Akurasi Identifikasi Penyakit Panleukopenia pada Kucing

2020 ◽  
pp. 108-114
Author(s):  
Dyan Mardinata Putra ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Bone Marrow ◽  
Blood Cells ◽  
Digestive System ◽  
White Blood Cells ◽  
System Software ◽  
Certainty Factor ◽  
Know How ◽  
Factor Method ◽  
Weight Value ◽  
Feline Parvovirus

Feline Panleukopenia is a disorder caused by inflammation of Feline Parvovirus. This viral inflammation can trigger inflammation of the digestive system in cats and can also attack the cat's bone marrow, and the total white blood cells in the cat's body will decrease. At this time, many people do not know how to accurately identify the disease Feline Panleukopenia in cats and as a result of that cats who suffer from it experience illness and even death. This study aims to determine the level of accuracy in identifying Panleukopenia in cats. There are several types of symptoms that refer to Feline Panleukopenia. Furthermore, the data is processed manually with the Certainty Factor method and continued by using a website-based expert system software. The processing stages are rule solving, determining the weight value of each symptom and calculating the Certainty Factor value with the rule formula. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 5 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of feline panleukopenia. Expert testing systems have been able to specifically identify Feline Panleukopenia. Through the Certainty Factor method, the level of accuracy that can be obtained is quite accurate and can help veterinarians improve their accuracy to identify Feline Panleukopenia in cats.

scholarly journals Aplikasi Pendiagnosa Penyakit Mata Dengan Menggunakan Metode Certainty Factor

2018 ◽  
Vol 2 (1) ◽  
pp. 85
Author(s):  
Muhammad Yasin Simargolang ◽  
Sri Rahmawati
Keyword(s):  
Information Technology ◽  
Rapid Development ◽  
Eye Diseases ◽  
The Body ◽  
Certainty Factor ◽  
Recent Information ◽  
Important Resource ◽  
Factor Method ◽  
Medicine Today

Abstract - In today's information technology era, the need for faster and more recent information is needed, considering that information has become a very important resource for organizations that need special handling such as other resources. The eye is a member of the body that needs to be maintained in daily health. Along with the rapid development of technology, in the field of medicine today it has also utilized technology to help improve better service to the wider community. The Certainty Factor method is used to be able to make a diagnosis quickly, accurately and accurately to the symptoms of the disease caused and this method is expected to be able to help patients, especially eye diseases, without first going to the hospital. This method makes it easy for users to provide answers related to the amount of trust in the symptoms experienced. Keywords - Technology, Information, Eyes, Method of 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 Sistem Pakar dalam Menganalisis Penyakit Kelenjar Getah Bening Menggunakan Metode Certainty Factor

2021 ◽  
pp. 269-274
Author(s):  
Sri Layli Fajri ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Lymph Node ◽  
Expert System ◽  
Lymph Nodes ◽  
System Analysis ◽  
The Body ◽  
Certainty Factor ◽  
Accuracy Rate ◽  
Factor Method ◽  
Analysis Process ◽  
Node Disease

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.

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 Sistem Pakar Menggunakan Metode Certainty Factor Dalam Akurasi Identifikasi Penyakit Panleukopenia Pada Kucing

2020 ◽  
Author(s):  
Dyan Mardinata Putra ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Bone Marrow ◽  
Blood Cells ◽  
Digestive System ◽  
White Blood Cells ◽  
System Software ◽  
Certainty Factor ◽  
Know How ◽  
Factor Method ◽  
Weight Value ◽  
Feline Parvovirus

Feline Panleukopenia is a disorder caused by inflammation of Feline Parvovirus. This viral inflammation can trigger inflammation of the digestive system in cats and can also attack the cat's bone marrow, and the total white blood cells in the cat's body will decrease. At this time, many people do not know how to accurately identify the disease Feline Panleukopenia in cats and as a result of that cats who suffer from it experience illness and even death. This study aims to determine the level of accuracy in identifying Panleukopenia in cats. There are several types of symptoms that refer to Feline Panleukopenia. Furthermore, the data is processed manually with the Certainty Factor method and continued by using a website-based expert system software. The processing stages are rule solving, determining the weight value of each symptom and calculating the Certainty Factor value with the rule formula. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 5 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of feline panleukopenia. Expert testing systems have been able to specifically identify Feline Panleukopenia. Through the Certainty Factor method, the level of accuracy that can be obtained is quite accurate and can help veterinarians improve their accuracy to identify Feline Panleukopenia in cats.

ESTIMATION OF THE DENTAL STATUS IN PERSONS IN THE INVESTIGATIVE INSULATOR

2021 ◽  
pp. 129-135
Author(s):  
Uspenskaya O.A. ◽  
Plishkina A.A. ◽  
Zhdanova M.L. ◽  
Goryacheva I.P. ◽  
Kuz'micheva E.E.
Keyword(s):  
Oral Health ◽  
Oral Cavity ◽  
Negative Impact ◽  
Periodontal Diseases ◽  
Dental Health ◽  
The Body ◽  
Number Of Factors ◽  
Medical Institutions ◽  
High Prevalence ◽  
High Level

This study assessed the level of dental health in the special contingent, identified the main factors that had a negative impact on the condition of the prisoners' oral cavity, the main diseases of the oral cavity, and also revealed a high prevalence of HIV infection and hepatitis among them. Analyzing the survey data of 150 prisoners in the remand prison, the following conclusion can be drawn. For the most part, persons in prison have a low social status and a high level of dental morbidity. Caries, periodontal diseases, leukoplakia, xerostomia were noted among the most common diseases of the oral cavity. In prisons, inmates are exposed to a number of factors that have a negative impact on their oral health and the body as a whole. The high prevalence of HIV and hepatitis among them also affects the oral health of prisoners. In the course of the study, it was found that the prevalence of leukoplakia (K13.2) is 40% (N = 60), xerostomia (K11.7) - 32% (N = 48), the prevalence of periodontal disease (K05.3) among prisoners is 76% (N = 114), caries was diagnosed in every prisoner patient in the study group. Due to the lack of the necessary resources in the medical institutions of the SIZO, it is impossible to give a full assessment of the prevalence and intensity of various dental diseases among prisoners in comparison with those at large. In this regard, the results of our research should make it possible to develop a program to optimize dental care in the system of the Federal Service for the Execution of Punishments, to contribute to an increase in the level of dental health among persons in penitentiary institutions.

Situsparu: Sistem Pakar Untuk Deteksi Penyakit Tuberkulosis Paru

2018 ◽  
Vol 10 (1) ◽  
pp. 41-47
Author(s):  
Ricky Surya ◽  
Dennis Gunawan
Keyword(s):  
Expert System ◽  
Tuberculosis Patient ◽  
The Body ◽  
Certainty Factor ◽  
Good Reliability ◽  
Delone And Mclean ◽  
The World ◽  
Index Terms ◽  
Manual Calculation ◽  
Tuberculosis Prevalence

Tuberculosis is an infectious disease caused by mycobacterium tuberculosis. It can affect some parts of the body: lungs, lymph nodes, intestines, kidneys, endometrium, bones, and brain. According to the survey of tuberculosis prevalence conducted by Republic of Indonesia Ministry of Health in 2013-2014, Indonesia was the second country in the world with the most case of tuberculosis. It makes Indonesia become a country with emergency in lungs tuberculosis. An expert system for lungs tuberculosis detection is built to help people detecting the possibility of suffering from lungs tuberculosis. Therefore, it is hoped that the lungs tuberculosis patient can have early treatment. Certainty factor is used to solve the uncertainty problem delivered by the doctor when examining the patient. Thus, certainty factor is an appropriate method to be used in the expert system for detecting certain disease. This method has been correctly implemented, proved by comparing system detection result to manual calculation result. The expert system has 81.25% accuracy, 83.49% success using DeLone and McLean model, and a cronbach alpha of 0.82 which indicates a good reliability based on the indicators used in the questionnaire. Index Terms— Certainty Factor, Disease Detection, Expert System, Pulmonary Tuberculosis, Situsparu

Adrenergic and Cholinergic Uterine Innervation and the Impact on Reproduction in Aged Women

2020 ◽  
Vol 26 (3) ◽  
pp. 358-362 ◽  
Author(s):  
Ioannis P. Kosmas ◽  
Antonio Malvasi ◽  
Daniele Vergara ◽  
Ospan A. Mynbaev ◽  
Radmila Sparic ◽  
...  
Keyword(s):  
Negative Impact ◽  
Smooth Muscles ◽  
Nerve Fibers ◽  
The Body ◽  
Autonomous Nervous System ◽  
Childbearing Age ◽  
Assisted Reproductive Technique ◽  
Aged Patients ◽  
Post Menopause ◽  
The Impact

: In recent years, the development of Assisted Reproductive Technique, the egg and embryo donation changed substantially the role of the uterus in recent years. It provided a higher chance for a pregnancy even in women over 45 years or post-menopause. In fact, the number of aged patients and in peri/post-menopause in pregnancy is nowadays increasing, but it increases obstetrical and neonatal related problems. The human uterus is richly innervated and modified especially during pregnancy and labor, and it is endowed with different sensory, parasympathetic, sympathetic and peptidergic neurofibers. They are differently distributed in uterine fundus, body and cervix, and they are mainly observed in the stroma and around arterial vessel walls in the myometrial and endometrial layers. Many neurotransmitters playing important roles in reproductive physiology are released after stimulation by adrenergic or cholinergic nerve fibers (the so called sympathetic/parasympathetic co-transmission). Immunohistochemical study demonstrated the localization and quantitative distribution of neurofibers in the fundus, the body and cervix of young women of childbearing age. : Adrenergic and cholinergic effects of the autonomous nervous system are the most implicated in the uterine functionality. In such aged women, the Adrenergic and AChE neurofibers distribution in the fundus, body and cervix is progressively reduced by increasing age. Adrenergic and AChE neurotransmitters were closely associated with the uterine arteries and myometrial smooth muscles, and they reduced markedly by ageing. The Adrenergic and AChE neurofibers decreasing has a dramatical and negative impact on uterine physiology, as the reduction of pregnancy chance and uterine growth, and the increase of abortion risk and prematurity.

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