SISTEM PAKAR DIAGNOSIS PENYAKIT MENULAR DENGAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR

2018 ◽  
Vol 4 (2) ◽  
pp. 171
Author(s):  
Widyalelisa Army
Keyword(s):  
Expert System ◽  
Infectious Diseases ◽  
Health Workers ◽  
Working Hours ◽  
First Aid ◽  
Certainty Factor ◽  
On Certainty ◽  
Forward Chaining ◽  
Available Information ◽  
Harmful Effects

<p><strong><em>Abstract </em></strong><strong><em></em></strong></p><p><em>Infectious diseases have harmful effects if left unchecked. The limited number and working hours of health workers and the queue of patients makes handling and provision of first aid for patients to be not optimal. Then an expert system was developed which can help in diagnosing and allowing patients based on the facts experienced by the patient and cannot be directly with the doctor. In this study the method of forward chaining method to compile rules and based on certainty factor (CF) method is used to calculate the value of certainty so that the results are decided more clearly. The development phase of this method begins by gathering knowledge from experts or experts from various organizations and facts that build the knowledge base and provide CF values for each type of disease. Available information and problems based on the symptoms experienced by the patient. From the results of system testing, trials were conducted on 20 users, which resulted from the trial and compared with expert claims. This is 85% accurate with error 15%, showing the results of this infectious expert system can help doctors diagnose infectious diseases. based on the events experienced by patients and can provide first aid or early diagnosis by providing solutions to users.</em></p><p><strong><em>Keywords:</em></strong><em> Expert System, Health, Forward Chaining, Certainty Facto</em><em>r.</em></p><p><strong> </strong></p><p><strong> </strong></p><p><strong><em>Abstract </em></strong><strong><em></em></strong></p><p>Penyakit menular mempunyai efek yang berbahaya jika dibiarkan. Terbatasnya jumlah dan jam kerja tenaga kesehatan dan banyaknya antrian pasien membuat penanganan dan pemberian pertolongan pertama kepada pasien menjadi tidak optimal. Maka dibuat sistem pakar yang dapat membantu dalam mendiagnosis dan memberikan solusi kepada pasien berdasarkan gejala penyakit menular yang dialami pasien sehingga pasien tidak harus berkonsultasi langsung dengan dokter. Pada penelitian ini digunakan metode forward chaining untuk penyusunan rule dan ditambahkan metode certainty factor (CF) yang digunakan untuk menghitung nilai kepastian agar hasil yang diputuskan lebih jelas. Tahapan pembangunan metode ini dimulai dengan mengumpulkan pengetahuan dari tenaga ahli atau pakar berupa nama penyakit dan gejala penyakit kemudian membangun basis pengetahuan dan memberikan nilai CF pada setiap jenis penyakit. Sehingga didapatkan informasi dan solusi berdasarkan gejala-gejala yang dialami pasien. Dari hasil pengujian sistem yang dilakukan ujicoba kepada 20 orang user dengan tingkat error sebesar 15%, dimana hasil dari ujicoba tersebut dan dibandingkan dengan pendapat dokter diperoleh nilai akurasi dari sistem ini adalah 85% akurat, menunjukan bahwa hasil sistem pakar penyakit menular ini sudah dapat membantu dokter dalam mendiagnosis jenis penyakit menular berdasarkan gelaja-gejala yang dialami pasien dan dapat memberikan pertolongan pertama atau diagnosis dini dengan memberikan solusi kepada user.</p><strong>Kata Kunci :</strong> Sistem Pakar, Kesehatan, Forward Chaining, Certainty Factor

scholarly journals Kombinasi Metode Certainty Factor dan Forward Chaining untuk Identifikasi Jenis Kulit Wajah Berbasis Android

2021 ◽  
Vol 5 (1) ◽  
pp. 74
Author(s):  
Syavira Cahyaningsih ◽  
Agung Triayudi ◽  
Ira Diana Sholihati
Keyword(s):  
Expert System ◽  
System Application ◽  
Normal Skin ◽  
Skin Care ◽  
Skin Type ◽  
Facial Skin ◽  
Certainty Factor ◽  
Dry Skin ◽  
Forward Chaining ◽  
Level Of Confidence

Using skincare and facial skin care must be in accordance with the type of facial skin, because if it is not suitable, it can cause problems such as facial skin breakouts, dry skin, irritated skin, and acne prone skin. To find out the type of facial skin, you have to do an examination with a skin and genital specialist, but the high cost of consultation and the long queue process is an obstacle for everyone. Therefore, the authors created an expert system to identify facial skin types using a combination of certainty factor methods with forward chaining techniques. The diagnostic results from calculations using an expert system application and the results of manual calculations from one of the respondent data from 100 respondent data, namely producing the same level of confidence, each of which produces a percentage of 99.45% and the diagnostic results state that the user has a normal skin type.

scholarly journals SISTEM PAKAR FORWARD CHAINING , FUZZY-MAX DAN CERTAINTY FACTOR AYAM PEDAGING

2021 ◽  
Vol 21 (1) ◽  
pp. 65-73
Author(s):  
Asep Afandi ◽  
Dwi Marisa Efendi
Keyword(s):  
Expert System ◽  
Disease Outbreaks ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Factor Method ◽  
System Method

Chicken farming is one of the promising business potentials, but in management and care, it is very important to determine the success of chicken farming. Often in the care of negligent employees so that they are exposed to disease outbreaks. With various types of diseases that attack the symptoms are very similar and even the same as other diseases, therefore an expert system can be used to diagnose a disease by looking at the characteristics of the disease suffered, and how the solution is to treat or prevent the disease In the study, it discusses 8 types of broiler diseases, where the expert system method used is the Fuzzy Max method, Forward Chaining, and Certainty Factor. From the results of the Fuzzy Max method, the results showed an accuracy of 80% - 90% for all types of diseases, while the Certainty Factor method showed 96% - 99% for all types of diseases.Keywords— Expert System, Fuzzy Max, Certainty Factor,  Forward Chaining.

scholarly journals Sistem Pakar untuk Mendiagnosis Gangguan Mental pada Anak Menggunakan Metode Forward Chaining dan Certainty Factor

2020 ◽  
Vol 2 (2) ◽  
pp. 280-291
Author(s):  
Salma Nabilla Ulpa ◽  
Fitri Bimantoro
Keyword(s):  
Expert System ◽  
Mental Disorders ◽  
Mental Health Problems ◽  
Health Problems ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Physical Health Problems ◽  
Artificial Intelligence Technology ◽  
Calculation System ◽  
As Stress

Mental health problems in children, such as stress, anxiety, or depression are real and these problems are as important as physical health problems, but many children do not get the care they need so an artificial intelligence technology such as an expert system can help diagnose the disorder mentally in children early. This research developed an expert system to diagnose mental disorders in children using the mobile-based Forward Chaining and Certainty Factor method that diagnoses 7 types of mental disorders in children from 46 symptoms obtained based on the knowledge of 3 experts. Based on the results of the black box testing states that the expert system that was built has had compatibility in terms of functionality. The results of the theoretical calculation test states that the calculation system of an expert diagnosis of a child's mental disorder is in accordance with the results of calculations done manually. In testing the accuracy of the system from 30 cases tested on 3 experts, the expert system that was built succeeded in producing system accuracy values ​​based on the final belief value of the three experts, based on the belief values ​​of experts 1, 2, and 3, respectively 91.11%, 96.67%, 96.67% and 80%. Furthermore, the results of MOS testing conducted on 35 respondents produce MOS of 4.12 from a scale of 5 where based on that value the expert system built is categorized into a good system.

scholarly journals PERANCANGAN DAN IMPLEMENTASI SISTEM PAKAR DIAGNOSIS PERTOLONGAN PERTAMA PENYAKIT AKIBAT GIGITAN NYAMUK MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS ANDROID

2020 ◽  
Vol 12 (1) ◽  
pp. 27
Author(s):  
Abdi Pandu Kusuma ◽  
Agung Sugiarto
Keyword(s):  
Expert System ◽  
Dengue Fever ◽  
First Aid ◽  
Certainty Factor ◽  
Literature Study ◽  
Tropical Country ◽  
The Public ◽  
Factor Method ◽  
Diagnosis Of Diseases

Mosquitoes are insects that often make us worried because of the bite. One of the dangers caused by mosquito bites is a variety of diseases that can even cause death. Indonesia is a tropical country that is endemic in diseases that are spread by mosquitoes, such as dengue fever, malaria, and filariasis (elephantiasis). The expert system of first aid diagnosis of diseases caused by mosquito bites will be an alternative to overcome the problems that occur so that later the public can find out about information and do first aid to diseases caused by mosquito bites. This system was built using the Certainty Factor method and implemented into an Android-based application to determine the type of disease suffered due to mosquito bites. Knowledgebase was obtained from interviews with Dr. Andik Setiawan, literature study, and browsing. The results of testing the expert system of first aid diagnosis of diseases caused by mosquito bites is known that the Certainty Factor method is able to determine the type of disease from the symptoms mentioned by 40.8%.

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.

APLIKASI SISTEM PAKAR UNTUK MENDIAGNOSA PENGGUNA NARKOBA MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB PADA BADAN NARKOSTIKA NASIONAL PROVINSI SUMATERA BARAT

2017 ◽  
Vol 2 (2) ◽  
pp. 001
Author(s):  
Rifa Turaina ◽  
Nelfira Nelfira ◽  
Rahmat Saputra
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Drug User ◽  
Prevention And Control ◽  
Technological Development ◽  
Certainty Factor ◽  
Web Based ◽  
Forward Chaining ◽  
To Come ◽  
And Control

When seeking a consultation to diagnose drugs and find out the solutions of prevention and control over drugs, users need time, money and energy to come and consult a doctor or rehabilitation officer at the National Narcotics Board of West Sumatera Province. Expert System to diagnose this drug user using Forward Chaining Method in selecting symptoms - symptoms that appear on the drug user and using the Certainty Factor Method to determine the amount of confidence or expert beliefs against the diagnosis results. Expert System is one of the implementation of technological development that can solve a problem like a human being. This system has the ability to diagnose the types of drugs used along with prevention and how to overcome them. Expert System is designed web-based using the programming language PHP (Hypertext Preprocessor) and MySQL databases, as well as internet connected that can facilitate people to diagnose the type of drugs and know the prevention and prevention of drug use.

scholarly journals SISTEM PAKAR PENDIAGNOSA PENYAKIT MENULAR PADA ANJING

2013 ◽  
Vol 2 (1) ◽  
pp. 42
Author(s):  
KADEK RISNA WITARI ◽  
I G.K. GANDHIADI ◽  
I PUTU EKA NILA KENCANA
Keyword(s):  
Infectious Disease ◽  
Expert System ◽  
Infectious Diseases ◽  
Physical Characteristics ◽  
Certainty Factor ◽  
Inference Method ◽  
Web Based ◽  
The Media ◽  
The Relationship ◽  
Web Based System

The closeness of the relationship between dogs and human makes the dog can be trained, played together, lived together with human and are invited to socialize with human and other dogs. But, despite its this relationship, the dogs can also have a contagious disease that may be harmful to human. Diagnostic expert system for infectious disease in dogs for as web-based system with the media android used as a tool for diagnosing infectious diseases in dogs based on physical characteristics or symptoms that can be seen or felt without through examination of the specifics. The diagnostics final results are expected to be a reference for further examination and handling of dogs that contract the disease is detected to prevent the disease for humans. This expert system uses a forward chaining inference method and Certainty Factor to infer.

scholarly journals Assessment of Occupational Stress on Health Workers in Maternal and Infant Hospitals

2021 ◽  
Vol 6 (1) ◽  
pp. 7-15
Author(s):  
Devi Angeliana Kusumaningtiar ◽  
Siti Nuraini
Keyword(s):  
Occupational Stress ◽  
Work Stress ◽  
Health Workers ◽  
Sampling Technique ◽  
Working Hours ◽  
The Body ◽  
Cross Sectional ◽  
High Workload ◽  
Cross Sectional Design ◽  
Harmful Effects

Background: Stress is a distortion of the body and mind caused by changes and demands of life. During the Covid 19 pandemic it was shown that the highest levels of stress occurred in health workers, nurses and teachers. Excessive amounts of stress can have harmful effects on the body, mind and psychology. The purpose of this study was to determine the description of the occurrence of work stress on health workers in the inpatient room at Hospital. Methods: The study used a cross sectional design, with a sample of 42 health workers. The sampling technique uses total side method with univariate data analysis.  Results: Results with the highest proportion were health workers who experienced work stress as many as 24 respondents (57.1%) which were more dominantly influenced by factors of high workload variation of 31 respondents (73.8%). Conclusions: The hospital is expected to be more aware of the workload and working hours of health workers in order to minimize the risk of work stress.

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