scholarly journals Expert System Diagnose Disease Persian cat with Bayes Theorem Method

Author(s):  
Yustrida Yanti ◽  
Sulindawaty Sulindawaty

Lack of knowledge of the disease and the limitations Pesia cat disease management is often experienced by the owners of Persian cats. Therefore it is necessary to act / respond quickly to prevent infection with the disease more serius.Teorema Bayes is a method used to predict the probability. Therefore, in this study will be analyzed Persian cat disease data using Bayes theorem using four diseases areFeline Leukemia Virus, Worms, Cat Flu and Mushrooms Cryptococus. Based on these descriptions, we need a system that can represent an expert who has the knowledge base and experience of the Persian cat disease, which is an expert system. Developments in information technology more widely and rapidly. So much in use in various fields. That accompanied the information technology internet support each other resulting in increased web-based technologies

2021 ◽  
Vol 1 (01) ◽  
pp. 1
Author(s):  
Ahmat Yusuf ◽  
Bagus Satrio Waluyo Poetro

The state of Indonesia, especially in the area of Central Java, is one of the largest producers of water guava. Some farmers rely on the results of guava cultivation as the basis for the family's economy because the guava harvest is quite promising. However, in certain seasons, water guava plants are often attacked by various kinds of pest and disease season disturbances. So that it can reduce crop yields or even cause crop failure. To overcome this problem, fast and precise action is needed so that the guava plant is protected from various kinds of pests and diseases. The method of developing an expert system for disturbance in water guava plants is the best solution in order to identify disturbances in water guava plants as early as possible. The method used in this expert system is the certainty factor method. With this method, several experts are needed to provide data related to disturbances in water guava plants. The expert system for guava plant disorders is designed using a web-based PHP programming language. In designing the knowledge base, which is the core of this system, is made dynamically to make it easier to add new data.


SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Rusdiansyah Rusdiansyah ◽  
Santoso Setiawan ◽  
Mohammad Badrul

Diabetes Mellitus Diagnosis Expert System with Web-Based Forward Chaining Method. An expert system is one branch of artificial intelligence technology that combines the knowledge of an expert with tracing data to solve problems that are normally carried out by an expert. The development of information technology now makes it possible to access information from anywhere and anytime. So the role of information technology is increasingly useful to be able to develop in various fields including in the health sector. One of them is the system used to diagnose diabetes mellitus. Diabetes Mellitus is one of the most common diseases in the world. The inability of the pancreas to produce insulin normally becomes one of the reasons a person has this disease. In this research, the method used is Forward Chaining which sorts all data obtained before getting the final conclusion. The final results obtained from this study is an expert system application for diagnosing diabetes with a forward chaining method, where the user answers questions based on perceived symptoms, then the results obtained in the form of disease and explanation of the disease.


2020 ◽  
Vol 3 (2) ◽  
pp. 1-15
Author(s):  
Putri Taqwa Prasetyaningrum ◽  
Juwita Juwita

The development of information technology is indispensable to help in the sharing of areas of life, one of which is in the field of agriculture. The use of information technology in agriculture can help a wide range of issues, especially the need to get information quickly. The farm is currently the largest community in Indonesia is rice that became staples in the country. Local rice production should be maximized by optimizing the farm itself, but problems in the cultivation of rice, one of the largest pest attacking the rice. Pest identification and handling shall be dealt with as quickly as possible in order not to experience a failed harvest.On this research designed an expert system for rice pest identification with method of bayes theorem and forward chaining to handle. The system is built to provide information on the pests of rice and penangananya on the basis of the symptoms that arise. The success of this research is 85%.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Fandy Rachmatulloh ◽  
Ade Eviyanti

Many people still do not know the risks, prevention, and treatment solutions related to liver disease. Therefore, many Indonesian people are affected by liver diseases such as hepatitis and other liver diseases because they are not aware of the symptoms they are experiencing. Therefore, this expert system is designed to help diagnose the symptoms experienced by people or patients who have liver disease. With this expert system, it can help overcome delays in handling so that it is not severe later. This expert system is created using the Bayes theorem method where in each symptom there is a probability or possibility which then gets the final result in the form of how big the event occurred. This expert system diagnoses the symptoms selected by the patient. After that, get the value of the possibility of a disease suffered by the patient. The results of this study are to produce an expert system for diagnosing liver disease using the website-based Bayes theorem method. This system can help diagnose a patient’s symptoms quickly and is used anywhere.


2018 ◽  
Vol 7 (2) ◽  
pp. 143-152
Author(s):  
Muhammad Hafizh ◽  
Teri Ade Putra

Technology is rapidly growing, moreover in Information Technology sector. Many other sectors cannot avoid from the changes IT created, including healthcare. To tackle the rapidly developing IT and combine it with healthcare advancement, one of many solutions to apply is the usage of expert system to simplify disease analysis. The writer develops an expert system application aiming at diagnosing Kidney Illness. The application is web-based expert system application, which means the users can access it anywhere and anytime. Inference process uses dempster shafer method which is a representation, combination and propagation of uncertainty, where this theory has several characteristics that are instinctively in accordance with the way of thinking of an expert, This theory can distinguish uncertainty and ignorance. Users can instantly know the possibility of disease they might have, so they can take immediate action.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ayu Anggilina ◽  
Ade Eviyanti

Health is a very expensive thing, so it takes an awareness to protect it. The human body has many limbs, one of which is the stomach. Gastric disease is a disease that cannot be accommodated, because if left untreated it can cause other diseases to arise and can also cause death if it is not immediately supported. Gastric disease can be caused by an inappropriate diet, a burden on the mind and also an infection caused by bacteria. The author took the initiative to create a web-based gastric disease diagnosis expert system using the Bayes theorem method which is useful for gastric disease sufferers in diagnosing their own gastric disease. The method used by researchers is the Bayes theorem method. The data collection technique used is quantitative data techniques. The results that have been achieved from this research are that it can prevent and minimize the risk of gastric disease in sufferers or the community.


Tech-E ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 22
Author(s):  
Ricky Tri Utomo ◽  
Ceng Giap Yo

Expert Systems are computer-based applications that are used to solve problems as the expert thinks. Many college students majoring in Information Technology are difficult to get the thesis title topic even though it has been reading many journals and looking for some references. Therefore to make it easier college students, then the author wants to create an application where college students majoring in Information Technology can more easily get the thesis title topic so the work of thesis becomes more fluent and not obstructed. This app is web based. In system design, the author used several methods in his research that is method of Analyze, Design, and Implementation. Methods in the design of this expert system even this also used forward chaining method as tracking ahead and best first search method. And also using data collection method mean literature study and questionnaire from system that has been created. The result of Expert System of Thesis Title Topic Selection with Forward Chaining method web based expected to be useful and helpfully college students in getting the thesis title topic. Based on questionnaire that has been shared and filled, it can be said that the Expert System of Thesis Title Topic Selection with Forward Chaining Method Web Based is helpful and beneficial for the college students because it helps college student Information Technology in getting Thesis Title.


2012 ◽  
Vol 1 (2) ◽  
Author(s):  
A. F. Arbie ◽  
Hans F. Wowor ◽  
Jimmy R. Robot ◽  
Rizal Sengkey

Growing technology in the field of cars as well as the more expensive new cars sold by each automaker. It makes people switch to buy old cars. The conditions of new and used cars are very different. When the new car is only doing engine maintenance each month with an oil change or other types of treatment, while an did car should check the condition of the engine every month. If there is a damage to this cars, the costs to enter the workshop is more higher then new cars. Because of the high cost if the car into the workshop, then the old cars owner must think to look for the other alternatives in repairing damage to the engine. According to identify the type of Expert System for Damage Engine In Car Suzuki Carry based on a Web-based tools to diagnose the type of damage to the engine Suzuki Carry and provide solutions in repairing the damage. The interaction between the system and the user uses the question of the causes that have appeared on the perceived condition of the driver and the performance of the car which the user will be asked to answer questions based on the condition of the car. Knowledge base is structured in such a database table, it is a table with some damage, the cause of the table and the table relationships to facilitate the performance of the inference system. Keyword : Expert System, Damage Diagnosis, Web-based Abstrak Dengan semakin berkembangnya teknologi dalam bidang mobil serta semakin mahalnya mobil baru yang dijual oleh tiap produsen mobil. Membuat banyak orang beralih untuk membeli mobil dalam keadaan bekas. Tentu kondisi antara mobil baru dan bekas sangat berbeda. Bila mobil baru hanya melakukan perawatan mesin setiap bulannya dengan mengganti oli atau jenis perawatan lainnya, maka untuk mobil bekas harus mengecek kondisi mesin setiap bulannya. Bila terjadi kerusakan maka biaya yang dikeluarkan untuk masuk bengkel juga sangat besar dalam memperbaikinya. Dengan biaya yang mahal bila mobil masuk bengkel, maka pemilik mobil bekas pasti berpikir untuk mencari alternatif lain dalam memperbaiki kerusakan mesin mobil. Sistem Pakar Dalam Mengidentifikasi Jenis Kerusakan Mesin Pada Mobil Suzuki Carry Berbasis Web dirancang sebagai alat bantu untuk mendiagnosa jenis kerusakan mesin Suzuki carry serta memberikan solusi dalam memperbaiki kerusakan. Interaksi antara sistem dan user menggunakan pertanyaan berupa penyebab yang sudah tampak berdasarkan kondisi yang dirasakan pengemudi dan kinerja dari mobil dimana user akan diminta untuk menjawab pertanyaan berdasarkan kondisi mobil tersebut.Basis pengetahuan disusun sedemikian rupa ke dalam suatu database diantaranya dengan beberapa tabel yaitu tabel kerusakan, tabel penyebab dan tabel relasi untuk mempermudah kinerja sistem dalam penarikan kesimpulan. Kata kunci : Sistem Pakar, Diagnosa Kerusakan, Berbasis Web


1987 ◽  
Vol 26 (04) ◽  
pp. 185-188 ◽  
Author(s):  
T. Chard

SummaryA model system has been described which generates “cases” of vaginal discharge. The system was used to define a knowledge base for the application of Bayes’ theorem to the diagnosis of individual cases; this simulation is equivalent to self-learning in an expert system. By using different numbers of cases to define the knowledge base, it was possible to estimate the minimum size of knowledge base required for consistent and accurate diagnosis. The minimum size was found to vary according to the aspect of diagnosis examined. Thus, for overall correct diagnoses at least 200 cases were required, while failure to identify “non-specific” cases was eliminated with only 20 cases in the knowledge base. A simulation of this type is of potential practical value in determining the number of cases required in the knowledge base for a Bayesian system.


2021 ◽  
Vol 9 (1) ◽  
pp. 29-44
Author(s):  
Henderi Henderi ◽  
Efana Rahwanto ◽  
Tri Wahyuningsih ◽  
Achmad Badrianto

Many organizations are making changes by using information technology to support their business activities. Routine and uncomplicated activities tend to be carried out supported by computer-based applications. These activities include diagnosing damage and performing maintenance on the printer. This study aims to develop an Excel system application for fault diagnosis and maintenance of printers. The expert system printer damage diagnosis application in this study was developed based on a knowledge base. The research was conducted through the stages of needs analysis, design, implementation and testing. The test results show that the application developed is able to diagnose and display printer defects and provide solutions and fixed it.


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