scholarly journals Tuberculosis Disease Diagnosis Expert System Method of Certainty Factor

2020 ◽  
Vol 2 (1) ◽  
pp. 129-134
Author(s):  
Betti Mastaria Br Sembiring ◽  
Paska Marto Hasugian
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Disease Diagnosis ◽  
Certainty Factor ◽  
Disease Symptoms ◽  
System Method ◽  
Tuberculosis Disease Diagnosis ◽  
Tuberculosis Disease

Nowadays computers are widely used in the medical world to aid in the diagnosis of a disease. The most frequently encountered Penyakityang adalahpenyakitTuberculosis. Therefore, prevention of tuberculosis disease begins with diagnosing dini.Salah a technique in diagnosing tuberculosis disease is an expert system. Therefore research inibertujuan construct an expert system that is used for early diagnosis of Tuberculosis disease by gejalayang in anguish. The system displays the amount of credence to the possibility of disease symptoms yangdiderita users. The value of these beliefs using Certainty Factor, because the CF is able to determine the value of trust in a greater uncertainty and be able to demonstrate absolute confidence.

scholarly journals An Expert System for Pneumococcal Prognosis

2018 ◽  
Vol 2 (3-2) ◽  
pp. 204
Author(s):  
Nurnadzirah Othman ◽  
Nureize Arbaiy ◽  
Hamijah Mohd Rahman
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Knowledge Sharing ◽  
Body Condition ◽  
Pneumococcal Disease ◽  
Preventive Measures ◽  
Child Death ◽  
Disease Diagnosis ◽  
Access To Information ◽  
System Method

Threats and viruses are particularly alarming for children with low immunization levels. Pneumococcal disease is the world's most important cause of child death and has claimed many lives. Since awareness of the dangers of Pneumococcal viruses among parents is low in Malaysia, preventive measures such as vaccine intake cannot be done comprehensively. Hence, in order to communicate information about Pneumococcal disease, a pneumococcal disease diagnosis system for children is developed. This system employs expert system method and apply forward chaining technique for its reasoning. Knowledge base of the system is stored in the database for data management. This alternative system allows access to information as well as early diagnosis of early symptoms can be detected. This system is expected to benefit users in terms of knowledge sharing, and self-checking on their body condition, especially parents, to prevent any possible diseases that may infect children's.

scholarly journals An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time

2018 ◽  
Vol 114 ◽  
pp. 65-77 ◽  
Author(s):  
Antesar M. Shabut ◽  
Marzia Hoque Tania ◽  
Khin T. Lwin ◽  
Benjamin A. Evans ◽  
Nor Azah Yusof ◽  
...  
Keyword(s):  
Expert System ◽  
Real Time ◽  
Disease Diagnosis ◽  
Tuberculosis Disease Diagnosis ◽  
Tuberculosis Disease

scholarly journals Tuberculosis Disease Diagnosis Using Artificial Immune Recognition System

2014 ◽  
Vol 11 (5) ◽  
pp. 508-514 ◽  
Author(s):  
Shahaboddin Shamshirband ◽  
Somayeh Hessam ◽  
Hossein Javidnia ◽  
Mohsen Amiribesheli ◽  
Shaghayegh Vahdat ◽  
...  
Keyword(s):  
Recognition System ◽  
Disease Diagnosis ◽  
Immune Recognition ◽  
Artificial Immune ◽  
Artificial Immune Recognition System ◽  
Tuberculosis Disease Diagnosis ◽  
Tuberculosis Disease

scholarly journals Perancangan Aplikasi Sistem Pakar Penyakit Roseola Dengan Menggunakan Metode Certainty Factor

2020 ◽  
Vol 1 (2) ◽  
pp. 107
Author(s):  
Lola Fida Putri
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Low Income ◽  
Acute Illness ◽  
Brain Inflammation ◽  
Not Given ◽  
Certainty Factor ◽  
Factor Method ◽  
Applied Knowledge

Measles Roseola usually attacks infants with transmission from a sprinkling of sufferers' saliva. Roseola must be treated quickly because it can cause liver and brain inflammation. Roseola's disease for people whose economy is low is not given much attention because it is often diagnosed in severe or acute illness. This is because the red rash in infants is a common measles. Early diagnosis of Roseola's disease is a good way to avoid adverse consequences for the baby's health. The Roseola disease expert system is able to help low-income people to self-diagnose the disease. Roseola's disease expert system is applied knowledge gained from experts, namely specialist dermatologists in children. Processing of symptoms based on facts with the value and calculation of the Certainty Factor method. Certainty Factor determines good results by combining expert values and user values.

scholarly journals Perancangan Sistem Diagnosa Penyakit Campak Dengan Menggunakan Certainty Factor

2021 ◽  
Vol 6 (2) ◽  
pp. 96
Author(s):  
I Wayan Rangga Pinastawa ◽  
Ema Utami ◽  
M. Rudyanto Arief
Keyword(s):  
Expert System ◽  
System Design ◽  
Disease Diagnosis ◽  
Design System ◽  
Rule Base ◽  
Certainty Factor ◽  
Activity Diagram ◽  
System Disease ◽  
Engine Design ◽  
Output System

Penyakit campak merupakan salah satu penyakit menular yang masih menjadi masalah kesehatan di Indonesia, karena sering dilaporkan dibeberapa daerah. Menurut data IDAI insiden campak pada balita sebesar 582/10.000. Metode yang digunakan adalah metode Certainty Factor atau Metode Kepastian. Tujuan penelitian ini adalah membuat perangkat lunak sistem pakar yang diharapkan dapat membantu masyarakat dalam mendiagnosa jenis penyakit campak dan rubella. Perangkat lunak sistem pakar ini meliputi analisis kebutuhan user, analisis kebutuhan sistem dan perancangan rekayasa pengetahuan dimana dalam pembuatan rekayasa perangkat lunak ini, data yang terkumpul direpresentasikan sebagai basis pengetahuan keputusan, basis aturan dan perancangan mesin inferensi, selanjutnya perancangan sistem, yang merancang pembuatan pemodelan proses yang terdiri usecase dan activity diagram, pemodelan data yang terdiri dari perancangan table, pengembangan proses selanjutnya adalah implementasi menggunakan berbasis website. Hasil penelitian berupa program aplikasi sistem pakar yang mampu mendiagnosa penyakit Campak. Keluaran sistem berupa hasil diagnosis meliputi tentang penyebab penyakit, penularan penyakit, pencegahan penyakit dan solusi penyakit campak pada anak. Dan juga dilengkapai dengan MB, MD dan nilai C.F yang diperoleh dengan perhitungan menggunakan metode Certainty Faktor.Kata Kunci— Diagnosa, Campak, Rubella, Certainty FactorMeasles is a contagious disease that is still a health problem in Indonesia , as often reported in some areas . According to data SKR (1996 ) the incidence of measles in infants at 582/10.000. The method used is the Certainty Factor method or methods Kepastian.Tujuan this research is to create a software expert system that is expected to assist the community in diagnosing type measles expert system software include user needs analysis, requirements analysis and system design engineering knowledge which in pmbuatan this software engineering, data collected represented as a knowledge base, decision, rule base and inference engine design, system design further, the design creation process use case and activity diagram, data modeling which consists of designing Table Mapping, designing go round the table next process inplementasi development using website based. The results in the form of an expert system application program that is able to diagnose diseases such as measles output system disease diagnosis include the value of MB and CF values obtained by calculation using the method of Certainty factors, causes and solutions.Keywords—Diagnosis, Measles, Rubella, Certainty Factor

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 BAWANG DAYAK SEBAGAI OBAT ALTERNATIF

2020 ◽  
Vol 2 (2) ◽  
pp. 122-130
Author(s):  
Joan Angelina Widians ◽  
Novianti Puspitasari ◽  
Tri Basuki Kurniawan
Keyword(s):  
Expert System ◽  
Medicinal Plants ◽  
Early Diagnosis ◽  
Alternative Medicine ◽  
Alternative Treatment ◽  
General Public ◽  
Medicine Information ◽  
Certainty Factor ◽  
East Kalimantan

The medicinal plants that have been developed especially in East Kalimantan is the dayak onion (Eleutherine palmifolia (L.) Merr). The Dayak onion herb has long been used by the Dayak tribe as an alternative medicine.  Information of  the possibility of people affected by the disease and how to process Dayak onion ingredients , an expert system needs to build that is able to diagnose the disease and how to process Dayak onion ingredients. The result of this research is an expert system with Certainty Factor that helps the general public in early diagnosis of  ten diseases and provides alternative treatment solutions and ways of Dayak onion as an alternative medicine.

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