scholarly journals Perbandingan Metode Certainty Factor dan Theorema Bayes dalam Mendiagnosa Penyakit Kandidiasis pada Manusia Menggunakan Metode Perbandingan Eksponensial

2021 ◽  
Vol 5 (3) ◽  
pp. 1097
Author(s):  
Zaimah Panjaitan ◽  
Hafizah Hafizah ◽  
Rico Imanta Ginting ◽  
Amrullah Amrullah
Keyword(s):  
Infectious Disease ◽  
Expert System ◽  
Expert Systems ◽  
Bayes Theorem ◽  
Certainty Factor ◽  
Factor Method ◽  
Analysis Process ◽  
Cutaneous Candidiasis ◽  
Consultation Session ◽  
Answering Questions

Candidiasis is an infectious disease caused by the fungus candida. Research on this fungus has been widely carried out until several types of candida fungi are found that can attack and cause infections in humans. Types of candidiasis also vary, but can be classified in general into three types, namely attacking the mouth (Candidiasis Thrush), vagina (Vulvoginal Candidiasis), and skin (Cutaneous Candidiasis). Candidiasis is very susceptible to infection and infection, therefore a study is needed to diagnose candidiasis. Today, expert systems are often used to diagnose diseases. There are several methods commonly used in expertise, including the Certainty Factor method and the Bayes Theorem. However, the problem faced in implementing an expert system in any field is uncertainty. This is caused by the user's hesitation in answering questions during the consultation session or even the inaccuracy of the methods used in building the system. Therefore, it is necessary to study and compare the methods that can be used to build the system. Exponential is a simple comparison that can reduce bias in the analysis process. This study aims to apply and analyze both methods and the results compare with an exponential comparison in detecting candidiasis in humans. The results of this study showed that both methods achieved the same results, namely the lowest percentage level was Candidiasis Truth, then Vuvoginal Candidiasis, and the highest was Candidiasis Cutaneous. Of these two methods, Certanty Factor is more accurate in diagnosing candidiasis.

scholarly journals Diagnose Expert System Computer Malfunction Certainty Factor Method

2020 ◽  
Vol 2 (1) ◽  
pp. 63-71
Author(s):  
Djouking Kiray ◽  
Fricles Ariwisanto Sianturi
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Base ◽  
Base System ◽  
Certainty Factor ◽  
Factor Method ◽  
Knowledge Base System ◽  
Two Factors ◽  
Computer Based

An expert system is a knowledge base system that solves problems using an expert's knowledge that is entered into a computer, thereby increasing productivity, Because an expert can work faster than a human lay works like an expert. Expert systems Also solve problems by imitating the ways in the which an expert expert offer section with problems in his field, one of the which is in the field of computer repair, the problem of computer damage Becomes a fairly complicated problem, this problem is Generally experienced by individuals and institutions. One of them is in school institutions that have computer laboratories. to diagnose computer use can damage the certainty factor method that helps identify damage to the computer and find the cause of damage to the computer based on the symptoms that occur and the solution to repair it. Certainty Factor is one of the techniques used to deal with uncertainty in decision making. In dealing with a problem, answers are Often found that do not have full certainty. This uncertainty is influenced by two factors items, namely the uncertain rules and user uncertain answers. Uncertain rules are rules of symptoms that are determined for a damage.

Pest Plant Disease Prevention and Identification System Using Certainty Factor Method

2018 ◽  
Vol 7 (3.2) ◽  
pp. 763 ◽  
Author(s):  
Robbi Rahim ◽  
Nuning Nurna Dewi S ◽  
M Zamroni ◽  
Lilla Puji Lestari ◽  
Muh Barid Nizarudin Wajdi ◽  
...  
Keyword(s):  
Expert System ◽  
Disease Prevention ◽  
Expert Systems ◽  
Knowledge Base ◽  
Plant Disease ◽  
Expert Knowledge ◽  
Identification System ◽  
Certainty Factor ◽  
Factor Method

Diseases in plants are something that can happen to many plants either caused by pests or other factors, the disease in plants can be detected based on the symptoms that appear on the plant before spreading to all plants, to recognize the symptoms and types of diseases contained in plants require plant experts or also by applying expert systems with expert knowledge base applied to the system by using certain methods such as certainty factor method. Expected results with the availability of this expert system to the user can help many users to detect diseases in plants.  

scholarly journals Sistem Pakar Mendiagnosa Penyakit Saraf Pusat Manusia Dengan Metode Certainty Factor

2019 ◽  
Vol 4 (1) ◽  
pp. 28
Author(s):  
Nelasari Situmeang ◽  
Sulindawaty Sulindawaty
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Neurological Disorders ◽  
Certainty Factor ◽  
Nervous Disease ◽  
Factor Method ◽  
Use Of Technology ◽  
The Central Nervous System ◽  
The Brain ◽  
Nerve Disease

  Abstract— Central nervous disease is a group of neurological disorders that affect the structure or function of the brain or spinal cord, which collectively form the central nervous system. Society in general there are still many lay people who do not understand nerve health, so many of them ignore the symptoms experienced and may be a symptom of central nervous disease. This may be due to the high cost of consultation, and not to mention doctors who are difficult to find due to time invoices. In various fields the use of technology has developed rapidly, one of which is in the field of health, one of which is the use of expert systems. Expert systems are computer programs that present and reason with the knowledge of several experts to solve problems or provide solutions. The development of technology such as expert systems is of course also supported by methods of diagnosing, such as the Certainty Factor Method. To create an expert system that can help the community in consultation about the central nervous disease experienced by the Expert System to Diagnose Human Central Nerve Disease Using the Certainty Factor Method.

scholarly journals Expert System Design to Diagnos of Virus Infection Disease in Children with Certainty Factor Method

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Sentot Achmadi ◽  
Ali Mahmudi ◽  
Anggiana Nayang Gita
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Data Storage ◽  
Viral Infections ◽  
Human Life ◽  
Severe Disease ◽  
Computer Applications ◽  
Certainty Factor ◽  
Factor Method ◽  
Treatment And Prevention

Information technology that continues to grow can be utilized in the service of human life in the world of health. Infectious disease is a disease that is quite dangerous for children. Delay in treating the disease can cause more severe disease. So that a system that has the ability to diagnose diseases is needed. Expert systems are computer applications that try to adopt human knowledge to computer programs like an expert. Many expert systems have been developed including diagnosing stroke and others. In this study, the expert system was used as a tool to diagnose viral infectious diseases in children. In this study we will discuss the making of expert system applications for infectious viral infections in desktop-based children using the certanty factor (CF) method. This expert system was built to diagnose tropical diseases caused by viral infections. This system provides information about diagnosis, treatment and prevention. Methods of tracking the symptoms of each patient, matching them with existing rules, and producing a diagnosis based on the knowledge base. Knowledge based from this expert system was obtained from several pediatricians and reference books. This expert system application is designed based on desktop and MySQL database as data storage. The resulting output is the value of the possibility of child disease based on the symptoms that have been given by the user. The magnitude of the probability value is the result of calculations using the certainty factor method.

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 Expert System for Chili Plants Disease Detection using Certainty Factor Method

2019 ◽  
Vol 9 (1) ◽  
pp. 1145-1151
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Disease Detection ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Delone And Mclean ◽  
The Creation ◽  
Design And Manufacture

This paper describes the creation of an expert system that is used to diagnose diseases in chili plants using a web-based certainty factor method. This expert system is made based on the weight of symptoms by experts so that users can find out the disease suffered by chili plants based on symptoms that arise. The symptom weight was calculated using the certainty factor method. This method is used to accommodate uncertainties that are often expressed by experts when detecting a disease. The design and manufacture of this expert system are done using the PHP programming language, MySQL database, CSS and the CodeIgniter framework. The results of the analysis between expert and expert systems have 87.09% compatibility level, and based on the calculation of the feasibility of the system with the Delone and McLean model shows that 77.58% of respondents agree Pakarcabaiku.com is a successful system for detecting chili disease.

Penerapan Sistem Pakar Untuk Pengecekan Kerusakan CCTV Dengan Metode Certainty Factor

2018 ◽  
Vol 2 (2) ◽  
pp. 132-143
Author(s):  
Petrus Sibuea ◽  
Jijon Raphita Sagala ◽  
Asaziduhu Gea
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Certainty Factor ◽  
Hard Drive ◽  
Camera Lens ◽  
Factor Method ◽  
Electric Induction ◽  
Calculation Process

Abstrak   Penelitian ini adalah penelitian tentang sistem pakar yang dirancang untuk membantu atau mempermudah kinerja teknisi maupun costumer. Sistem ini dapat melakukan pengecekan ataupun mendiagnosa kerusakan pada CCTV. Sistem pakar yang dibangun ini mampu mendeteksi 14 jenis kerusakan yang terdapat pada CCTV. kerusakan yang dapat dilakukan untuk pengecekan antara lain chipset VGA/HDMI DVR rusak, tampilan chanel bercahaya terang, kabel HDMI/VGA terputus, adaptor camera mati, hardisk error, dvr mati, kabel putus atau rusak, connector bnc longgar, connector power rusak, adaptor kurang voltase, kabel CCTV induksi listrik, lensa camera kotor, infraret kamera rusak, listrik tidak stabil. Hasil pengecekan kerusakan CCTV adalah berupa jenis kerusakan, nilai persentase kerusakan, jenis gejala, beserta solusi yang ditawarkan oleh sistem pakar. Sistem pakar ini menerapkan atau mengaplikasikan metode certainty factor pada proses perhitungannya. Metode certainty factor merupakan salah satu metode yang terdapat pada sistem pakar yang dapat menghitung atau mengolah nilai-nilai probabilitas setiap gejala, yang dihitung menggunakan rumus certainty factor sehingga menghasilkan  kesimpulan berupa jenis kerusakan dan nilai persentase dari setiap gejala yang ada pada CCTV.   Kata Kunci: sistem pakar, kerusakan cctv, hikvision,  certainty factor   Abstract   This study is a research on expert systems designed to help or facilitate the performance of technicians and customers. This system can check or diagnose damage to CCTV. This expert system that is built is able to detect 14 types of damage found on CCTV. damage that can be done to check include VGA / HDMI DVR chipset broken, bright luminous channel display, HDMI / VGA cable disconnected, camera adapter off, hard drive error, DVR dead, cable broken or damaged, BNC connector loose, power connector broken, adapter less voltage, CCTV cable electric induction, dirty camera lens, infraret camera is damaged, electricity is unstable. The result of CCTV damage checking is in the form of type of damage, percentage damage value, type of symptom, along with solutions offered by expert systems. This expert system applies or applies the certainty factor method to the calculation process. The method of certainty factor is one of the methods found in the expert system that can calculate or process the probability values ​​of each symptom, which is calculated using the certainty factor formula to produce a conclusion of the type of damage and the percentage value of each symptom that is on CCTV.   Keywords: expert system, cctv damagee, hikvision, certainty factor

scholarly journals Expert System For Personal Computer Mendiagnosakerusakan Method Using Certainty Factor

2020 ◽  
Vol 2 (2) ◽  
pp. 195-202
Author(s):  
Yunus Simare-mare ◽  
Fristi Riandari
Keyword(s):  
Information Technology ◽  
Expert System ◽  
Expert Systems ◽  
Personal Computer ◽  
Personal Computers ◽  
Vocational School ◽  
Certainty Factor ◽  
Human Needs ◽  
Factor Method ◽  
Made In

Along with the development of information technology, computers today have developed rapidly so that they require a higher technology world. Nowadays computers can be made in the category of human needs, Because they can help or human Facilitate work in various fields. The use of computer laboratories at Sei Bamban YAPIM Private Vocational School is very dense, so the level of computer damage is greater, both in terms of hardware and software. Here the author will discuss Expert Systems to Diagnose Damage to Personal Computers, the Certainty Methods Method is one of the Expert System Methods to Be Able to diagnose damage to a Personal Computer. In this case the Certainty Factor method is used to diagnose damage to the Personal Computer through existing symptoms. The damage is taken from symptoms that may occur and then given a decision and provide Appropriate solutions to Overcome damage to the Personal Computer. The symptoms of damage to the Personal Computer will then be changed in the form of applications. To create an application the author uses Microsoft Visual Studio 2010. This thesis will explain the damage report and solutions for Personal Computer.

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 Sistem Pakar Diagnosa Error Sistem Pada “PT. Danaco Global Solusi – OXY System” Menggunakan Metode Certainty Factor Berbasis Web

2018 ◽  
Vol 1 (1) ◽  
pp. 61-69
Author(s):  
Ni Luh Wiwik Sri Rahayu Ginantra ◽  
Victor Ari Sandi
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Certainty Factor ◽  
Diagnosis System ◽  
Factor Method ◽  
Actual Event ◽  
Level Of Confidence ◽  
A Company

In building a system can’t be separated from an error where for a company that works in Building a software this will be very dangerous if not quickly Handled, certainly beside with quickly also need to be handled accurately. Expert systems can be a solution where the expert system is capable of recording a person's ability to think or reason. Thought or reasoning of an expert will be used to diagnose from some of the symptoms that exist to conclude error with expert's specified weight while the belief to symptoms that are not certain will be determined by the user and determined using Certainty Factor method that can calculate the value of uncertainty so that error fixed can be concluded. The results of the implementation is 2 diagnosis with the highest level of confidence and the step to handling. Other results is the system accuracy by performing a comparison between the results of the diagnosis system to the actual event so that the accuracy is 91.667%

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