scholarly journals Sistem Diagnosis Penyakit Hipokalemia menggunakan Gabungan Metode Forward Chaining dan Certainty Factor

2020 ◽  
Vol 5 (2) ◽  
pp. 213
Author(s):  
Angga Pratama Surya ◽  
Fauziah Fauziah ◽  
Nurhayati Nurhayati
Keyword(s):  
Expert System ◽  
Initial Diagnosis ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Speed Up ◽  
Early Diagnose

Hypokalemia can be a serious problem in humans which results in paralysis and causes death. This is caused by sufferers who are late in analyzing the symptoms and diseases. To facilitate. To speed up the process of diagnosis of these symptoms, an expert system can be done. This study aims for an initial diagnosis based on the symptoms experienced. This expert system can be used as a tool in making decisions. This study uses the method Forward Chaining and Certainty Factor (CF) to overcome the uncertainty of hypokalemia. The results of this expert system can help early diagnose hypokalemia, so that the disease can be treated as early as possible so as not to cause the disease to get worse in the future.Keywords:Forward Chaining, Diagnosis, Hypokalemia, Certainty Factor, Expert System.

Sistem Pakar Diagnosis Penyakit Jamur pada Manusia Menggunakan Input Suara Berbasis Android

2019 ◽  
Vol 3 (3) ◽  
pp. 435-442
Author(s):  
Feriantano Sundang Pranata ◽  
Jufriadif Na’am ◽  
Sumijan
Keyword(s):  
Expert System ◽  
Early Detection ◽  
Skin Disease ◽  
Skin Diseases ◽  
Initial Diagnosis ◽  
Test Results ◽  
Certainty Factor ◽  
Early Diagnose ◽  
The Tropics

Fungal skin disease is a type of disease that is often suffered people in the tropics. Phenomena in the community often assume that this disease will heal by itself. However, if left the effects of fungal skin disease can worsen the sufferer condition. The importance of early detection and treatment is very necessary, but this requires patients go to hospital or doctor so that patients spend a lot of time and money. For this reason, was build an android expert system with speech to early diagnose fungal skin diseases. From this initial diagnosis will save time and money and provide alternative prevention for sufferers. The method used in this study is the Certainty Factor of 20 patients. The accuracy of the test results to the system compared to the results of the doctor's diagnosis is 95%. So that, this expert system can be an early alternative in diagnose fungal skin diseases in humans.

Penerapan Metode Forward Chaining dan Certainty Factor untuk Mendiagnosa Penyakit Sapi Perah Berbasis Android

2021 ◽  
Vol 5 (3) ◽  
pp. 238
Author(s):  
Wahyu Eka Mahendra ◽  
Septi Andryana ◽  
Winarsih Winarsih
Keyword(s):  
Expert System ◽  
Dairy Cows ◽  
System Application ◽  
Confidence Level ◽  
Initial Diagnosis ◽  
The Body ◽  
Diagnosis And Treatment ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Insight Into

Dairy cows are suitable livestock to be developed because they can produce milk as a source of beneficial protein for the body. One of the obstacles faced by farmers is the emergence of diseases in dairy cows such as mastitis. Often breeders feel confused about the illnesses their pets suffer; this is due to their lack of insight into the types of diseases of dairy cows. In this study, a solution was provided, namely providing a service by applying the forward chaining method and certainty factor in an Android-based expert system application. This study aims to broaden farmers' insight, as well as help breeders to facilitate faster, more practical initial diagnosis and treatment solutions. The results of this study indicate that, in calculating the sample, the diagnosis of mastitis has a confidence level of 99.92%. This number shows that this system can be applied to solve existing problems.Keywords:Certainty Factor; Dairy Cows; Expert System; Forward Chaining.

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 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 Analysis of Expert System for Early Diagnosis of Disorders During Pregnancy Using the Forward Chaining Method

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Basiroh Basiroh ◽  
Shahab Wahhab Kareem
Keyword(s):  
Expert System ◽  
System Analysis ◽  
Human Life ◽  
Health Sector ◽  
Positive Influence ◽  
Computer Application ◽  
Easy Access ◽  
Forward Chaining ◽  
Final Project ◽  
Speed Up

Nowadays technological developments are increasingly having a positive influence on the development of human life, including in the health sector. One of them is an expert system that can transfer an expert's knowledge into a computer application to simplify and speed up the diagnosis of a disorder or disease in humans. The purpose of this final project is to design an application to diagnose diseases that occur during pregnancy which is caused by the existence of these pregnancies to simplify and speed up the diagnosis of diseases experienced by pregnant women. This study uses the forward chaining method. By involving experts in this expert system analysis according to current needs. Users are given easy access to information on several types of pregnancy disorders and their symptoms, as well as consultation through several questions that the user must answer to find out the results of the diagnosis. While experts are facilitated in system management, both the process of adding, updating and, deleting data.

Sign in / Sign up

Export Citation Format

Share Document