Penerapan Metode Certainty Factor untuk Mendiagnosa Penyakit THT

2021 ◽  
Vol 1 (2) ◽  
pp. 46-50
Author(s):  
Kristian Siregar ◽  
Paska Marto Hasugian
Keyword(s):  
Expert System ◽  
Inner Ear ◽  
Middle Ear ◽  
Paranasal Sinuses ◽  
Olfactory Organ ◽  
Human Knowledge ◽  
Certainty Factor ◽  
Specialist Doctor ◽  
Nose And Throat

Expert system is a system that seeks to adopt human knowledge into computers, so that computers can solve problems like experts do. ENT (ears, nose, and throat) are organs that are closely interconnected. Abnormalities in these organs are diagnosed and treated by a specialist doctor. One of the functions of these organs such as the ear. The ear is an organ for hearing and balance consisting of the outer ear, middle ear and inner ear. The function of the nose, the nose is the olfactory organ and the main way in and out of air, the nose also provides additional sound resonance and is a place for paranasal sinuses and tear ducts. While the function of the throat is a muscular duct where the food goes to the esophagus and where the air travels to the lungs. In this study, an expert system was built to detect and be equipped with a certainty value of the diagnosis. The certainty value is obtained using the Certainty Factor (CF) method.

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

2020 ◽  
Author(s):  
Ayu Prima Siska ◽  
Yuhandri Yunus ◽  
S Sumijan
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Lung Disease ◽  
Pulmonary Disease ◽  
Human Knowledge ◽  
Certainty Factor ◽  
Human Organ ◽  
Factor Method ◽  
Disease Identification ◽  
Certainty Level

Lungs are a very importand part of the human organ, which functions as a place for oxygen  exchange. This organ that is located under the ribs has a very heavy task, as well as the pollution of the air we breathe everyday which will cause various diseases in the lungs. Lung disease is a disease that is common to everyone, and there are still many who are less concemed with lung healty, so that is causes many indications of lung diseas. Expert  system is a system that uses human knowledge recorded in a computer to solve a problem. The purpose og this study was to datermine the accuracy of disease identification in the lungs using the Certainty Factor method. The date obtained is datae about the symptoms that prove wherher a person has lung disease or not and conduct an analysis of the date, so that later conclusions can be abtained from the facts found using an expert system of the Certianty Factor method. The date obtained is date about the sympyoms thet prove whethera person has lung as a problem solving metric which is a parameter value to show the amount of trust. The result of the research from an expert system on pulmonary disease with pulmonary  tuberkolosis (TBC) with a certainty level  og 68%. Expert system on lung disease using the Certainty Factor method can make it easien for sufferes to know and handle prevention and handling.

scholarly journals Comparative Analysis of Certainty Factor Method and Bayes Probability Method on ENT Disease Expert System

2018 ◽  
Vol 5 (2) ◽  
pp. 205-212
Author(s):  
Khairina Eka Setyaputri ◽  
Abdul Fadlil ◽  
Sunardi Sunardi
Keyword(s):  
Comparative Analysis ◽  
Expert System ◽  
Expert Knowledge ◽  
Probability Method ◽  
Certainty Factor ◽  
User Input ◽  
Factor Method ◽  
Weight Value ◽  
Systematic Knowledge ◽  
Nose And Throat

Expert system is computer programs that mimic the thought process and expert knowledge in solving a particular problem. Basically, an expert system has various methods to diagnose various kinds of diseases experienced by humans, animals, and plants. This research analyzes the comparison of Certainty Factor method and Bayes Probability method in the expert system of Ear, Nose, and Throat (ENT) diseases. Both methods have the same basic theory of overcoming uncertainties with existing variables. The Certainty Factor method has many variables that are used as systematic knowledge, namely the weight value of the expert which is the basis of knowledge of the system and the user input weight value, while the Bayes Probability method uses only expert knowledge in the calculation. Based on a comparative analysis of the methods obtained with 10 patients data on the ENT disease expert system, the Certainty Factor method has accuracy in diagnosing the disease by 100%, while the Probability Bayes method of system accuracy is 80%. So it can be concluded that the Certainty Factor method is more accurate in diagnosing ENT than the Bayes Probability method.

Ear, nose, and throat

2016 ◽  
pp. 534-581
Author(s):  
Andrew Baldwin ◽  
Nina Hjelde ◽  
Charlotte Goumalatsou ◽  
Gil Myers
Keyword(s):  
Hearing Loss ◽  
Middle Ear ◽  
Paranasal Sinuses ◽  
Nasal Polyps ◽  
Nerve Palsy ◽  
Laryngeal Nerve ◽  
Childhood Deafness ◽  
Acute Airway Obstruction ◽  
Nasal Injury ◽  
Nose And Throat

This chapter outlines ear, nose and throat diseases. It includes ENT examination, prevalence of ENT symptoms, the ear, audiology, painful ears, discharging ears, fluid in the middle ear, childhood deafness, cochlear implants, deafness in adults, tinnitus, acoustic neuroma, noise induced hearing loss, vertigo, rhinosinusitis and nasal polyps, the paranasal sinuses, nasal injury and foreign bodies, nosebleed (epistaxis), throat infections, stridor, acute airway obstruction, hoarseness, laryngeal nerve palsy, head and neck cancers, dysphagia, facial palsy, lumps in the neck, the salivary glands, dry mouth (xerostomia), and dentistry for doctors.

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

2021 ◽  
pp. 64-69
Author(s):  
Ayu Prima Siska ◽  
Y Yuhandri ◽  
S Sumijan
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Lung Disease ◽  
Pulmonary Disease ◽  
Human Knowledge ◽  
Certainty Factor ◽  
Human Organ ◽  
Factor Method ◽  
Disease Identification ◽  
Certainty Level

Lungs are a very importand part of the human organ, which functions as a place for oxygen  exchange. This organ that is located under the ribs has a very heavy task, as well as the pollution of the air we breathe everyday which will cause various diseases in the lungs. Lung disease is a disease that is common to everyone, and there are still many who are less concemed with lung healty, so that is causes many indications of lung diseas. Expert  system is a system that uses human knowledge recorded in a computer to solve a problem. The purpose og this study was to datermine the accuracy of disease identification in the lungs using the Certainty Factor method. The date obtained is datae about the symptoms that prove wherher a person has lung disease or not and conduct an analysis of the date, so that later conclusions can be abtained from the facts found using an expert system of the Certianty Factor method. The date obtained is date about the sympyoms thet prove whethera person has lung as a problem solving metric which is a parameter value to show the amount of trust. The result of the research from an expert system on pulmonary disease with pulmonary  tuberkolosis (TBC) with a certainty level  og 68%. Expert system on lung disease using the Certainty Factor method can make it easien for sufferes to know and handle prevention and handling

Ear, nose, and throat

2020 ◽  
pp. 384-431
Author(s):  
Nicholas Steventon
Keyword(s):  
Hearing Loss ◽  
Salivary Glands ◽  
Sore Throat ◽  
Otitis Media ◽  
Middle Ear ◽  
Acoustic Neuroma ◽  
Paranasal Sinuses ◽  
Noise Induced Hearing Loss ◽  
Nasal Injury ◽  
Nose And Throat

This chapter in the Oxford Handbook of Clinical Specialties explores the ear, nose, and throat (ENT) specialty. It outlines examination in the ENT in general and investigates each area in depth. The ear is explored including hearing tests, painful ears (otalgia), discharging ears, otitis media, and fluid in the middle ear. Deafness in childhood and adults is discussed, as well as tinnitus, acoustic neuroma, noise-induced hearing loss, and vertigo. The nose is explored, including the paranasal sinuses, nasal injury, foreign bodies, and nosebleed. The throat is investigated, including sore throat, stridor, hoarseness (dysphonia), dysphagia, cancer, palsy, neck lumps, and salivary glands. Dentistry for doctors is also explored.

scholarly journals Pengembangan Sistem Pakar Untuk Diagnosis Penyakit Hepatitis Berbasis Web Menggunakan Metode Certainty Factor

2015 ◽  
Vol 3 (1) ◽  
pp. 58
Author(s):  
Ahmad Ramdhani ◽  
R. Rizal Isnanto ◽  
Ike Pertiwi Windasari
Keyword(s):  
Hepatitis C ◽  
Expert System ◽  
Hepatitis B ◽  
Acute Hepatitis ◽  
Computer Technology ◽  
Blood Test ◽  
Hepatitis A ◽  
Human Knowledge ◽  
Certainty Factor ◽  
Factor Method

Expert System is a computer technology that can help people solving problems which are mostly applied in medicine. Expert System is system that trying to adopt human knowledge to the computer, so the computer can resolve the issue as done by an expert.. In this study, an Expert System to diagnose hepatitis disease consisting of Hepatitis A, Hepatitis B, and Hepatitis C will be created. This expert system to diagnose hepatitis disease is created using PHP programing language and MySQL database using Certainty Factor method. This expert system will ask for an input such as symtomps and blood test, then the result is the possibility of the disease suffered by the patient and an explanation of the disease and its treatment solution. This expert system is able to issue diagnosis results for Hepatitis A, Hepatitis B, and Hepatitis C.. Certainty Factor method can be applied to expert systems with simple disease or not complex, such as acute hepatitis disease that is done in this study.

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

Sistem Diagnosa Hama Dan Penyakit Pada Tanaman Wortel Menggunakan Metode Certainty Factor

2018 ◽  
Vol 2 (2) ◽  
pp. 99-108
Author(s):  
Imelda Telaumbanua ◽  
Erwin Panggabean ◽  
Asaziduhu Gea
Keyword(s):  
Expert System ◽  
Pest Control ◽  
Plant Disease ◽  
Alternative Solution ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Support Activity

Abstrak   Komputer saat ini merupakan perangkat yang sudah menjangkau hampir sebagian besar masyarakat. Kemajuan teknologi dalam bidang komputer telah menjadikan komputer sebagai alat bantu untuk memudahkan pekerjaan manusia dalam berbagai aspek. Salah satu contohnya menghasilkan suatu pendekatan utntuk dapat mengetahui jenis penyakit yang terserag pada tanaman dengan menggunakan metode Certainty Factor. Sistem ini, dapat membantu seseorang untuk mengetahui penyakit yang terserang berdasarkan gejala yang ada pada tanaman serta memberikan solusi untuk penaggulangan atau membasmi penyakit serta hama yang terdapat pada tanaman wortel dengan metode certainty Factor.Dalam  upaya pengendalian hama dan penyakit tanaman wortel secara strategis, seseorang pakar dibutuhkan  untuk bertindak sebagai media bantu, mengingat terbatasnya pengetahuan para praktisi petani wortel dalam mengetahui penyakit pada tanaman serta memberikan solusi kepada petani untuk membasmi penyakit yang terserang pada tanaman wortel.Sistem pakar tanaman memiliki tujuan mengetahui jenis hama dan penyakit, gejala, penyebab, pencegahan, dan menyediakan alternatif solusi penanggulangan hama dan penyakit pada setiap tanaman. Sistem pakar ini juga akan dapat membantu untuk mendukung aktivitas dalam pemecahan masalah.   Kata Kunci: Sistem Pakar, Wortel, Hama dan Penyakit, Certainty Factor, Web     Abstract   Computer current’s is device that has reach almost large part comumunity. Progress technology in subject computer has make computer as tool help for facilitate job human in various aspect. Either for example produce disease that stricken at plant with use method certinty factor. System’s, can help someone for know disease that stircken based on symptom that is at plant and give solution fo handling or eradicate disease and pest that there are at plant carrot with use method certainty factor. In effort pest control and plant disease carrot strategically, someone expert needed for act as media help, remember lomited knowedge some practitioner farmer carrot in know disease at plant and give solution to farmer to exterminate disease that stircken at plant carrot. Expert system plant have purpose know type pest and disease, symptom, cause, prevention and provide alternative solution handling pest and disease at every plant. Expert su=ystem this will can help for support activity in prevention problem.   Keywords: Expert System, Carrot, Pest and Disease, Certainty Factor, Web

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

2017 ◽  
Vol 3 (2) ◽  
pp. 108
Author(s):  
Dian Permata Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Inference Method ◽  
Medical Field ◽  
Forward Chaining ◽  
At Home

<p>Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi <em>forward chaining</em>. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga <em>user</em> akan mendapatkan solusi dari hasil pertanyaan tadi. </p><p><em><br /></em></p><p><em>Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.</em><em>Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.</em></p>

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