scholarly journals Sistem Pakar Mendiagnosis Penyakit Pada Ayam Broiler Menggunakan Metode Teorema Bayes Berbasis Web

2021 ◽  
Vol 4 (2) ◽  
pp. 138-142
Author(s):  
Achmad Subana ◽  
R. Fanry Siahaan
Keyword(s):  
Economic Growth ◽  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Broiler Chickens ◽  
Bayes Theorem ◽  
Chicken Meat ◽  
Web Based ◽  
Meat And Eggs

The need for chicken cannot be denied in Indonesian society, especially in the consumption of eggs and chicken meat so that it will affect economic growth. To produce healthy meat and eggs free of disease, breeders must pay attention to the health of their pet chickens. Starting from providing rations, vaccination and cage maintenance. Chicken disease is very susceptible to cage cleanliness and consumption of the food given. As for the scope of the problem in this study, namely disease in broiler chickens. The system used is a web-based expert system with the Bayes Theorem method. By applying the Bayes theorem method to expert systems in diagnosing broiler disease and designing an expert system application in determining broiler disease. Aims to assist breeders in dealing with diseases specifically broiler chickens and add to the list of references in applying the Bayes Theorem method to expert systems. Using testing with the PHP MYSQI application with the supporting tools.

scholarly journals IDENTIFIKASI PENYAKIT PADA TERUMBU KARANG MENGGUNAKAN RIPPLE DOWN RULES

2018 ◽  
Vol 1 (2) ◽  
pp. 165-174
Author(s):  
Agus Cahyo Nugroho
Keyword(s):  
Coral Reef ◽  
Expert System ◽  
Expert Systems ◽  
Specific Problem ◽  
Specific Knowledge ◽  
Web Based ◽  
Human Thinking ◽  
Ripple Down Rules

Along with the development of technology, people developed a system that capable of adopting processes and human thinking as an expert system that contains specific knowledge so that everyone can use it to solve a specific problem, namely the diagnosis of coral reef disease. The purpose of this study is to develop an expert system for diagnosing coral reef disease  in the form of websites using PHP with a MySQL database. Expert system for diagnosing coral reef disease problem is using Ripple Down Rules (RDR) method has a goal to discover symptoms that appear in the form of questions that can diagnose the coral reef disease based on website. Web based expert system is able to recognize types of coral reef disease after consultation by answering a few questions that are displayed by the application of expert systems and can infer some types of coral  reef disease. Data coral reef disease that already known adapt to rules which are made for matching the symptoms of coral reef disease.

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 Android Based Expert System Application for Diagnose COVID-19 Disease: Cases Study of Banyumas Regency

2020 ◽  
Vol 1 (2) ◽  
pp. 26
Author(s):  
Rosyid Ridlo Al Hakim ◽  
Erfan Rusdi ◽  
Muhammad Akbar Setiawan
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Confidence Level ◽  
Certainty Factor ◽  
Global Pandemic ◽  
Android Os ◽  
The Status

Since being confirmed by WHO, the status of COVID-19 outbreak has become a global pandemic, the number of cases has been confirmed positive, cured, and even death worldwide. Artificial intelligence in the medical has given rise to expert systems that can replace the role of experts (doctors). Tools to detect someone affected by COVID-19 have not been widely applied in all regions. Banyumas Regency, Indonesia is included confirmed region of COVID-19 cases, and it’s difficult for someone to know the symptoms that are felt whether these symptoms include indications of someone ODP, PDP, positive, or negative COVID-19, and still at least a referral hospital handling COVID-19. Expert system with certainty factor can help someone make a self-diagnose whether including ODP, PDP, positive, or negative COVID-19. This expert system provides ODP diagnostic results with a confidence level of 99.96%, PDP 99.99790%, positive 99.9999997%, negative 99.760384%, and the application runs well on Android OS

A REVIEW OF WEB BASED EXPERT SYSTEMS FOR FLEXIBLE PAVEMENT MAINTENANCE

2016 ◽  
Vol 78 (6) ◽  
Author(s):  
Abdalrhman Milad ◽  
Noor Ezlin Ahmad Basri ◽  
Muhamad Nazri Borhan ◽  
Riza Atiq Abdullah O. K. Rahmat
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Flexible Pavement ◽  
Web Based ◽  
Tropical Regions ◽  
Highway Engineering ◽  
Pavement Maintenance ◽  
Decision Making Processes ◽  
Pavement Construction ◽  
Tropical Climates

This paper reviews the application of expert systems in a flexible pavement (ESFP). It involves a brief introduction to expert systems explaining how technology plays a role in the creation of latest approaches to highway engineering, development, and maintenance. The paper provides an outline for possibilities of future researches. The purpose of this paper is to summarise the latest outcomes of researches related to the process of engineering, developing and implementing an expert scheme for flexible pavement construction. Moreover, the paper shows the necessity to develop an expert system that can help to control damage in tropical regions. The current expert system does not accommodate the needs for damages and repairs for tropical climates. The tropical region’s highway’s flexible pavements are based on the knowledge of experts who analysed and maintained highway pavements. This system enables the performance engineers to analyse, determine and customise information to help relevant parties during decision-making processes.

scholarly journals The Suitability of Expert System Application in Czech Small and Medium‑Sized Enterprises

2017 ◽  
Vol 65 (2) ◽  
pp. 653-660
Author(s):  
Ekaterina Khitilova
Keyword(s):  
Czech Republic ◽  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Customer Relations ◽  
Customer Relationship ◽  
Literature Analysis ◽  
Suitability Analysis ◽  
Future Work ◽  
The Relationship

Small and medium-sized enterprises play an important role in the economy of Czech Republic. Expert systems are one of the alternatives evaluated the effectiveness of the relationship between supplier and customer. Currently, measurement and increase in efficiency of supplier-customer relations is very topical subject. The requirements for tools the improvement supplier- customer relationship can be specified on the base the literature analysis. The article defines basic requirements for expert system. The presentation of expert system and its suitability in the surroundings of small and medium sized enterprises is the part of this article. The comparison of the expert system possibilities and the compiled requirements leads to suitability analysis of selected solution. Actual questions and the way of future work are derived from current results, presented in the paper. The article defined the directions of development this expert system.

scholarly journals Expert System for Diagnosing Liver Disease Using Web-Based Bayes Theorem Method Metode

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Fandy Rachmatulloh ◽  
Ade Eviyanti
Keyword(s):  
Liver Disease ◽  
Expert System ◽  
Liver Diseases ◽  
Bayes Theorem ◽  
Web Based ◽  
Prevention And Treatment ◽  
Risks Prevention

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.

scholarly journals Developing an Expert System Application to Detect Childs' Lung Disease

2020 ◽  
pp. 285-290
Author(s):  
Sulis Sandiwarno
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Support Vector Machine ◽  
Expert System ◽  
Expert Systems ◽  
Lung Disease ◽  
System Application ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Support Vector

The development of information technology has supported many activities, especially in terms of health. Artificial Intelligence (AI) is the application of information technology that is currently developing well. Several previous studies have evaluated models from expert systems to diagnose lung disease in children using Naïve Bayes (NB) and Support Vector Machine (SVM). However, in conducting these evaluations they do not try to make an integrated application to facilitate evaluation. In this study we propose to build a system that integrates NB and SVM classifiers. Furthermore, in this study we used a sample of data from a clinic in Indonesia. The results of this study, we conclude that the existence of this system will make it easier to evaluate the lung disease experienced by children.

scholarly journals Implementasi Metode Dempster Shafer Pada Sistem Pakar Diagnosis Penyakit Ginjal Berbasis Web Dengan Menggunakan Php Dan Mysql

2018 ◽  
Vol 7 (2) ◽  
pp. 143-152
Author(s):  
Muhammad Hafizh ◽  
Teri Ade Putra
Keyword(s):  
Information Technology ◽  
Expert System ◽  
System Application ◽  
Inference Process ◽  
Web Based ◽  
Propagation Of Uncertainty ◽  
Technology Sector ◽  
Information Technology Sector ◽  
Disease Analysis ◽  
The Way

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.

scholarly journals Sistem Pakar Diagnosa Penyakit Tanaman Rambutan dengan Metode Forward Chaining dan Certainty Factor Berbasis Android

2020 ◽  
Vol 5 (3) ◽  
pp. 329
Author(s):  
Bayu Abrianto Risnadi ◽  
Fauziah Fauziah ◽  
Ratih Titi Komala Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Confidence Level ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Calculation Results ◽  
Manual Calculation

The purpose of this research is to create an expert system application to diagnose diseases in the rambutan plant that can be accessed anytime and anywhere so that the handling of the disease can be done appropriately. The Forward Chaining and Definity Factor methods are used because they are very suitable for expert systems that diagnose something that is uncertain so that the manual calculation results from the symptom data and the existing expert values result in a 98.91% confidence level percentage, and solutions are given to treat disease-stricken plants. The implementation uses Android Studio so that the application can run dynamically on various devices so that farmers can immediately find out what is happening with the conditions of their rambutan plants directly.Keywords:Rambutan Plant, Expert System, Android, Forward Chaining, Certainty Factor.

DESIGN AND BUILT AN EXPERT SYSTEM APPLICATION FIR DIAGNOSING HUMAN EYE DISEASES BY USING FORWARD CAHINING METODH WEB-BASED

KOMTEKINFO ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 73-77
Author(s):  
Harkamsyah Andrianof
Keyword(s):  
Expert System ◽  
System Application ◽  
Human Life ◽  
Eye Diseases ◽  
Human Vision ◽  
Web Based ◽  
Human Eye ◽  
Forward Chaining ◽  
Disease Information ◽  
Five Senses

The eye is one of the five senses that has a very important role in human life, namely as the organ of vision. If there is interference with the eye or there is a disease, it is very influential on human vision. Its mean that we can conclude that eye is very important in our lie and must be keep for our body.  The purpose of this research to planning and develop the diagnose of expert system about diagnosing of diseases in the eye which include disease information about symptoms or the solution and have role to replace and imitate the process of the reason from an expert in solve the specification problem. the method used for reasoning is forward chaining method. The result of this research is expert system of diagnosing eyes diseases in humans which computerized who can be used for giving information and have benefit in diagnosing disease.

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