scholarly journals PENERAPAN DEMPSTER-SHAFER PADA SISTEM PAKAR DIAGNOSA PENYAKIT AKIBAT VIRUS VARICELLA-ZOSTER

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Rohima Ritonga
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Direct Contact ◽  
Visual Basic ◽  
Varicella Zoster ◽  
Chicken Pox

Varicella-zoster is a virus that can cause varicella and shingles. This disease is referred to as chicken pox because bubbles or boils that form on the skin when it bursts out with water. This disease is very easy to spread to others, especially children who have never been exposed to varicella-zoster. The spread of this virus occurs through the air and direct contact with sufferers The expert system is one branch of AI that makes broad users specific to solving expert human-level problems. Varicella zoster is a virus that can cause varicella and shingles. The resulting software is able to diagnose certainty value calculations using the Dempster-Shafer method, using a visual basic programming language that can act like an expert. This system can be used as a consultation media.Keywords:  Expert System, Varicella Zoster, Dempster Shafer

scholarly journals Expert System for Diagnosing Types of Diseases in Human Intestine Organs Using the Certainty Factor Method

2019 ◽  
Vol 1 (2) ◽  
pp. 21
Author(s):  
Elis Nurhayatmi ◽  
Zaenal Muttaqin ◽  
Ahmad Sugiyarta ◽  
Ryan Naufal Hay’s
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Programming Language ◽  
Human Body ◽  
Digestive System ◽  
Food System ◽  
Visual Basic ◽  
Human Intestine ◽  
Certainty Factor ◽  
Factor Method

Intestine is one of the organs of the digestive system in the human body which is shaped like pipes and act as gatekeeper food system for our bodies. Many people do not noticed his intestines health because they are too busy with his activity, or lazy to go to the doctor, even when hospital were many visitors there is also felt a lot of to waste time to queue up because they want to get their turn to be checked and a lot of costs to be incurred. This research discusses about creating expert system to diagnose intestinal diseases using certainty factor method.  Applications developed with Visual Basic programming language with MySQL as its database. The results of this research able to do early diagnosis of the symptoms that is felt system users, and provide diagnostic results such as type of disease suffered, prevention and its information.

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 Sistem Pakar Mendiagnosa Penyakit Itp (Idiopathic Thormbocytopenict Purpura) Mengunakan Metode Variable Centered Intelligent Rule System (VCIRS)

2020 ◽  
Vol 1 (2) ◽  
pp. 94
Author(s):  
Mhd. Iskandar Romadon Hasibuan
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Programming Language ◽  
Visual Basic ◽  
Thrombocytopenic Purpura ◽  
System Method ◽  
Artificial Intelligence Technology ◽  
Computer Based ◽  
Rule System ◽  
Answering Questions

At this time the use of computer peripheral technology has grown rapidly and is popular in the community. Most people use it not only for commercial purposes, but also to obtain information on the detection of disease quickly and efficiently with computer-based applications that can help the general public to find out the causes and symptoms of these diseases. For this reason, we need a system designed to be able to mimic the expertise of an expert in answering questions and solving a problem in accordance with the knowledge of an expert entered into a computer system. The development of Artificial Intelligence technology that has occurred has enabled the Expert System to be applied in detecting diseases using the programming language. One of them is in providing information about various problems, especially ITP (Idiopathic Thrombocytopenic Purpura) disease. The expert system method used is the Variable Centered Intelligent Rule System (VCIRS) used to deal with diagnosing ITP disease. With the facilities provided for users and administrators, it allows both users and administrators to use this system according to their individual needs. Users are given the ease of knowing information about ITP disease, its causes and prevention. This Expert System was created using the Microsoft Visual Basic 2008 Programming Language.

Expert System for Designing Shaft-Bearing-Gear Transmission Assemblies

2012 ◽  
Vol 245 ◽  
pp. 156-161
Author(s):  
Eugen Valentin Butila
Keyword(s):  
User Interface ◽  
Expert System ◽  
Engineering Design ◽  
Programming Language ◽  
Data Transmission ◽  
Visual Basic ◽  
Programming Environment ◽  
Cad System ◽  
Information Type ◽  
Cam Software

An Intelligent Integrated CAD system applied in mechanical engineering design for selection, calculation and design embodiment of shaft-bearing-gear is presented in the paper. The CAD activities in correlation with the expert system are defined according to a given expertise domain, design of mechanical systems, which is supposed to take into account and operate with two information type: knowledge and data. Final results and concrete example are performed using CAD/CAE/CAM software, CATIA environment. Knowledge and databases processing for application presented in this paper use specific programming environment expert systems, Prolog – Flex. For user interface Visual Basic programming language is used, and Excel for data and knowledge base, which integrated in CATIA environment. Data transmission between the two performance programs CATIA and Prolog is made through the Excel files

scholarly journals SISTEM PAKAR PENGENALAN BAKAT DAN MINAT ANAK DENGAN METODE FORWARD CHAINING

SAINTEKBU ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 10-18
Author(s):  
Siti Uzlifatul Asma ◽  
Muhyiddin Zainul Arifin ◽  
Tholib Hariono
Keyword(s):  
Expert System ◽  
Multiple Intelligences ◽  
Programming Language ◽  
Visual Basic ◽  
Human Being ◽  
Special Interests ◽  
Forward Chaining ◽  
Child Intelligence ◽  
Visual Basic 6.0 ◽  
Alternative Decision

Every human being has an interest, and a different talent. Interest is a strong impetus for a person to do something he wants. Talent itself is an existing ability or innate or the ability that can be trained to master the things that interest. The potential of the child should be stimulated in advance so that it can be seen as a skill, knowledge and skillfulness that becomes the provision of his life. One way to recognize the child's talents and interests requires a test to understand the temperament and personality of the child, to understand multiple intelligences and to recognize the direction of the child's interest. The test is applied to an expert system using the Forward Chaining method to help determine the type of intelligence in the child. Each type of child intelligence has several potential talents and special interests of the child. The expert system is implemented in a Visual Basic 6.0 programming language. The results of this study in obtaining an alternative decision to recognize the type of intelligence of children who show potential talents and interests of children. So that talent can be further developed. Keywords: Talent and Interests, Forward Chaining, Expert System

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

Research on Mechanical Product Development Based on CAD Software

2014 ◽  
Vol 484-485 ◽  
pp. 933-937
Author(s):  
Fu Na Li ◽  
Lin Wei Yang ◽  
Ying Zeng
Keyword(s):  
Programming Language ◽  
Interface Design ◽  
Development Process ◽  
Visual Basic ◽  
Common Language ◽  
Test Results ◽  
Technology Application ◽  
Development System ◽  
Design And Implementation ◽  
Software Interface

This paper introduces analysis the development process of CAD technology, application of the AutoCAD software in engineering field and teaching as well as the significance of the development of two times the. This paper analyzes in detail the development of common language, and the use of Visual BASIC development and application of software based on AutoCAD. The author elaborates the software interface design and method calls AutoCAD in VB. Finally, the design and implementation of a programming language re-development system based on AutoCAD is concerned. The test results show that the developed AutoCAD two development system has good practical value.

scholarly journals Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Stroberi Menggunakan Metode Certainty Factor Berbasis Web

Repositor ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Nina Mauliana Noor Fajriah ◽  
Yufis Azhar ◽  
Gita Indah Marthasari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computer Science ◽  
Programming Language ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Factor Method ◽  
System Database ◽  
And Behavior

Expert system is one of the AI Development fields. AI (Artificial Intelligence) is part of a computer science which used the computer to imitate the human thoughts and behavior. The usage of a method in Expert System is very important. Thus, the most compatible method to use is the Certainty Factor method. This method is suitable to be used on Expert System to measure things and diagnosed it, will it be very sure or unsure. For example, Expert System to diagnose disease on strawberry plants. This software allows the user to diagnose the disease on strawberry plants before taking a further action. This software is using PHP programming language and store the data using MySQL system database. When the user consulting to the software, the software will show the symptoms of the disease and the user can choose the level of certainty from the chosen disease symptom. The final result from the software is a form which includes the guide of how to take the measurement of the disease based on the chosen symptoms.

scholarly journals Sistem Pakar Diagnosa Penyakit Kista Ovarium dengan Metode Forward Chaining

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 8-18
Author(s):  
Aggy Pramana Gusman ◽  
Dian Maulida ◽  
Eva Rianti
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Ovarian Cyst ◽  
Public Knowledge ◽  
Forward Chaining

Ovarian cyst disease can only attack women after 25 years old of age and above the lack of public knowledge about the symptoms of ovarian cyst disease is the problem, therefore the authors make an expert system diagnosing ovarian cyst disease with a forward chaining method where patients consults with how to answer a number of questions related to the symptoms of an ovarian cyst and the patients answers questions according to the symptoms felt by the patient. This expert system is created using the PHP programming language and MYSQL database. It is expected that with an expert system of diagnosing ovarian cyst disease, later it can facilitate patients in consulting about his ovarian cyst disease and can increase knowledge for the patient

Expert System of the Parameter Optimization in the Heavy-Duty Cutting Processing

2006 ◽  
Vol 532-533 ◽  
pp. 1140-1143
Author(s):  
Yu Quan Chen ◽  
Zhen Jia Li ◽  
Deng Hui Zhu ◽  
Zhen Bo Wang ◽  
Jin Xing Guo
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Programming Language ◽  
Parameter Optimization ◽  
Computer Technology ◽  
Metal Cutting ◽  
Processing Parameters ◽  
Heavy Duty ◽  
Sql Sever ◽  
Set Up

This paper is focused on using the method of computer technology combined with the knowledge of experts to determine heavy-duty cutting processing parameters according to the relevant theories of metal cutting. This “Expert System of the Parameter Optimization in the Heavy-duty Cutting Processing” is based on the VC++6.0 programming language and SQL Sever 2000. It is divided into two subsystems, turning and milling machining. Taking the turning machining subsystem for example, by using methods of generating expression combined with frame representation, this paper classifies and generalizes related knowledge, and combines the knowledge base with the data base to set up the knowledge base of the subsystem. Also this paper introduces the process of inferential mechanism of the optimizing modules of cutters and machining engagements.

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