scholarly journals IMPLEMENTASI SISTEM PAKAR BERBASIS WEBSITE UNTUK MENGIDENTIFIKASI HAMA TANAMAN PADI BESERTA PENANGANANNYA

2020 ◽  
Vol 3 (2) ◽  
pp. 1-15
Author(s):  
Putri Taqwa Prasetyaningrum ◽  
Juwita Juwita
Keyword(s):  
Information Technology ◽  
Expert System ◽  
Bayes Theorem ◽  
Rice Production ◽  
Forward Chaining ◽  
Wide Range ◽  
Rice Pest

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%.

scholarly journals Penalaran Berbasis Aturan Untuk Diagnosa Awal Penyakit Anjing Menggunakan Teorema Bayes

2018 ◽  
Vol 2 (2) ◽  
pp. 530-535 ◽  
Author(s):  
Sella Marselena ◽  
Ause Labellapansa ◽  
Abdul Syukur
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Rural Areas ◽  
Medical Personnel ◽  
Bayes Theorem ◽  
Search Method ◽  
Early Symptoms ◽  
Forward Chaining

Many pets can be played with, socialize and even live together with humans. Numbers of animal clinics have increased to provide care for pets. This study focuses on Dog as pet. Desease and improper treatment of dog will adversely affect the Dog. In dealing with the problem of Dog disease, Dog owners may experience difficulties due to limited number of clinics and veterinarians, especially in rural areas. As a solution, Artificial Intelligence is used by using expert systems that can help inexperienced medical personnel diagnose early symptoms of Dog disease. The search method used in this research is Forward Chaining and Bayes Theorem method to handle uncertainties that arised. Based on knowledge acquisition, 3 diseases were obtained with 38 simptoms and 60 cases. Based on the tests conducted then obtained the sensitivity value of 80%, the value of accuracy of 88.6% indicates that this expert system is able to diagnose dog diseasesKeywords: Dog, Expert System, Forward Chaining, Bayes Theorem.  

scholarly journals Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Rusdiansyah Rusdiansyah ◽  
Santoso Setiawan ◽  
Mohammad Badrul
Keyword(s):  
Diabetes Mellitus ◽  
Information Technology ◽  
Expert System ◽  
Health Sector ◽  
Final Conclusion ◽  
Web Based ◽  
Forward Chaining ◽  
Diabetes Mellitus Diagnosis ◽  
Artificial Intelligence Technology

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.

scholarly journals IMPLEMENTASI FORWARD CHAINING UNTUK DIAGNOSA DEFISIENSI VITAMIN LARUT DALAM LEMAK BERBASISKAN WEB

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Nina Sevani ◽  
Melvin Joshua
Keyword(s):  
Information Technology ◽  
Expert System ◽  
The Internet ◽  
Inference System ◽  
Forward Chaining ◽  
Knowledge Based ◽  
The World

The growth of information technology is increasing lately. People can get the actual information from websites. The combination between website and expert system will help people to make an application that can think like an expert and spread it all around the world using the internet. The technology can be used to solve the availability problem of expert nutrient in Indonesia. The application was developed using forward chaining method as the inference system. It will make the application work like a nutrient expert, which asks the patient from general to specified symptoms. The knowledge based of the application was collected from trusted resources like nutrient experts and nutrient books. The application was tested by the nutrient expert. The result shows that the application can work properly like an expert.

scholarly journals Bayes Theorem and Forward Chaining Method On Expert System for Determine Hypercholesterolemia Drugs

2019 ◽  
Vol 6 (1) ◽  
pp. 116-124 ◽  
Author(s):  
Anna Adi Perbawawati ◽  
Endang Sugiharti ◽  
Much Aziz Muslim
Keyword(s):  
Expert System ◽  
Computer Science ◽  
Medical Record ◽  
Bayes Theorem ◽  
Training Data ◽  
Drug Selection ◽  
Forward Chaining ◽  
Testing Data ◽  
Human Thinking ◽  
Selection Of

The development of technology capable to imitating the process of human thinking  and led to a new branch of computer science named the expert system. One of the problem that can be solved by an expert system is selecting hypercholesterolemia drugs.  Drug selection starts from find the symptoms and then determine the best drug for the patient. This is consist with the mechanism of forward chaining which starts from searching for information about the symptoms, and then try to illustrate the conclusions. To accommodate the missing fact, expert systems can be complemented with the Bayes theorem that provides a simple rule for calculating the conditional probability so the accuracy of the method approaches the accuracy of the experts. This reseacrh uses 30 training data and 76 testing data of medical record that use hypercholesterolemia drugs from Tugurejo Hospital of Semarang. The variable are common symptoms and some hypercholesterolemia drugs. This research obtained a selection of hypercholesterolemia drugs system with 96.05% accuracy

scholarly journals Expert System for Diagnosis Chicken Disease using Bayes Theorem

2019 ◽  
Author(s):  
HENGKI TAMANDO SIHOTANG
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Visual Basic ◽  
Bayes Theorem ◽  
Disease Diagnosis ◽  
The Body ◽  
Human Knowledge ◽  
Inference Process ◽  
Forward Chaining

Chicken disease is a condition in which the body organs of chickens cannot function normally. Diagnosing a disease requires symptoms that appear on the chicken's body. To conduct a disease diagnosis, further examination is needed by specialists (experts). An expert system is a system that uses human knowledge that is entered into a computer to solve problems that are usually resolved by experts. The system created in solving problems uses the Bayes Theorem method in which the inference process uses Forward Chaining. The application was developed using the visual basic 2010 programming language and MySQL database.

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

2020 ◽  
Vol 2 (1) ◽  
pp. 149-157
Author(s):  
Yustrida Yanti ◽  
Sulindawaty Sulindawaty
Keyword(s):  
Information Technology ◽  
Expert System ◽  
Disease Management ◽  
Knowledge Base ◽  
Leukemia Virus ◽  
Bayes Theorem ◽  
Web Based ◽  
Internet Support ◽  
Lack Of Knowledge

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

scholarly journals Expert System Selection Topics Thesis Title With Forward Chaining Method Web-Based

Tech-E ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 22
Author(s):  
Ricky Tri Utomo ◽  
Ceng Giap Yo
Keyword(s):  
College Students ◽  
Information Technology ◽  
Expert System ◽  
Literature Study ◽  
Web Based ◽  
Forward Chaining ◽  
Computer Based ◽  
Student Information ◽  
Using Data ◽  
System Selection

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.

An Expert System for Diagnosing Leptospirosis Disease Using Forward Chaining and Bayes Theorem

2019 ◽  
Author(s):  
Mikha Dayan Sinaga ◽  
Frinto Tambunan ◽  
Charles Jhony Mantho Sianturi ◽  
Andrian Syahputra ◽  
Fithry Tahel ◽  
...  
Keyword(s):  
Expert System ◽  
Bayes Theorem ◽  
Forward Chaining

scholarly journals Application of Recommendations for Diagnosis of Diseases in the Field of Hematology and Oncology With Forward Chaining Algorithm

CCIT Journal ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 92-99
Author(s):  
Abiel Filetus ◽  
Ricky Raymond ◽  
Prittania Friska Octavia ◽  
Halim Agung
Keyword(s):  
Information Technology ◽  
Expert System ◽  
Medical History ◽  
Confidence Level ◽  
Test Cases ◽  
Forward Chaining ◽  
The Past ◽  
To Come ◽  
Diagnosis Of Diseases

The COVID-19 pandemic has made many changes in everything, both from the industrial world and human habits. Illness is one of the things that cannot be postponed in its completion, so that people can consult a doctor to be able to recognize the disease suffered by the community In the past, consultations had to come to the hospital, nowadays there are innovations in the field of Information Technology that make it easier for people to consult. The expert system is one of the fastest growing innovations. The expert system is one of the fastest growing innovations. Forward chaining is one of the algorithms of an expert system to get a conclusion through existing facts / data based on predetermined rules. Forward chaining can provide good disease conclusions with a 100% percentage of 30 diseases and 15 test cases. However, a diagnosis based on symptoms according to doctors only has a confidence level of 50-60%. So other assessment factors are needed to increase the percentage of these beliefs such as gender, age, medical history, supporting examinations, and others.

Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

2019 ◽  
Vol 1 ◽  
pp. 444
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Plant Diseases ◽  
Accurate Information ◽  
Forward Chaining ◽  
Web Programming ◽  
Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

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