scholarly journals Web-based Expert System Application to Recommend Computer Specifications for Gaming Using Backward Chaining Inference Method

2017 ◽  
Vol 13 (2) ◽  
pp. 110
Author(s):  
Gottfried Christophorus Prasetyadi ◽  
Mahfudin Mahfudin
Keyword(s):  
Expert System ◽  
System Application ◽  
General Purpose ◽  
Computer Hardware ◽  
Inference Method ◽  
Web Based ◽  
Backward Chaining ◽  
Server Side ◽  
Scripting Language ◽  
The Cost

This study aims to design and implement an expert system application to provide minimum computer hardware and operating system requirements, which are capable of running games with certain graphical settings. Backward chaining inference method is used to conclude the output, which the requirements are based on user’s input. The application is made using PHP general-purpose server-side scripting language and MySQL database. By using this application, a user can consult as well as to an expert to know the computer specifications capable of running a game with preferred graphical settings and to estimate the cost to build that computer. This application can also help sellers of computer parts to set price on the custom-built computers, to create category or sales package, as well as to provide information for potential buyers.

scholarly journals Sistem Pakar Menentukan Maksimal Kalori Harian Berbasis Mobile

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Teddy Santya ◽  
Cosmas Eko Suharyanto ◽  
Pastima Simanjuntak ◽  
Alex Alfandianto
Keyword(s):  
Expert System ◽  
Everyday Life ◽  
Dietary Habit ◽  
Test Results ◽  
Inference Method ◽  
Web Based ◽  
Forward Chaining ◽  
Server Side ◽  
Registered User ◽  
Flow Of Time

The study was conducted because of many concerning event happened in purpose of losing weight in improper methods. By the flow of time with technologies developed in this century, Smartphone became one of necessity because of the feature by many applications which helps a lot in our everyday life of humanity. The Researcher conducted this research of mobile-based application expert system which helps people properly losing their weight, this expert system is a supporting utility for taking care of dietary habit based on the amount of calorie limit calculated by this system, and recommends suitable and healthy food for users. This system is built with React Native framework. The calculation in this system is based on information of weight, height, and age provided by users, and all prediction will not be done without the provided information and every calculation is handled by web-based server-side processing which is developed using Laravel Framework. Inference method used by the researcher is Forward Chaining. This expert system will validate user's requirement to start working on losing weight by using Forward Chaining Inference method. Every successfully registered user will be able to view their calculated information by this system which is maximum calorie value, and list of healthy and recommended foods information provided by the expert herself. From the test results, the Expert System can solve the problem of giving a way to run a proper diet program by adjusting the diet with the calories needed.

scholarly journals Implementing Backward Chaining Method in Expert System to Detect and Treat Rice, Chilli, and Corn Plant’s Pests and Diseases

2018 ◽  
Vol 2 (02) ◽  
pp. 21-25
Author(s):  
Primaadi Airlangga ◽  
Anton Muhibuddin ◽  
M. Mirza Sulthoni ◽  
Aries Budi Wicaksana
Keyword(s):  
Expert System ◽  
System Application ◽  
Staple Food ◽  
Chilli Pepper ◽  
Web Based ◽  
Backward Chaining ◽  
Pests And Diseases ◽  
Corn Plants ◽  
Web Based System ◽  
Low Rate

Indonesia is an agrarian country which most of it’s citizens are farmer. There are various kind of decent plants to grow in Indonesia but most of them plant rice, corn, wheat, and sago as staple food. There other plants that is consumed not as main food but as subsidiaries, one of them are chilli pepper. Abundant variety of vegetation in Indonesia means that there are also many type of pests and diseases. An agriculture expert is needed to identify plant’s diseases and pest correctly. Meanwhile, the number of agriculture experts is insufficient to help massive amount of farmer whom have trouble in agriculture. This problem can be solved by using Expert System where farmers can detect the problem on their plants and finding treatment to cure their plants correctly them self. This research is mean to develop an Expert System Application in agriculture  to identify diseases and pests based on their symptoms especially rice, chilli, and corn plants. This Expert System is based on web program using Backward Chaining Inversion which is deemed necessary to solve the case study’s problem.  Responsive Web Based System can be  accessed by user or client from many devices especially their smart phoneto hel diagnose disease that occurs to their plant, more over, to solve the low rate of expert on agriculture.

scholarly journals Sistem Pakar Berbasis Web Menggunakan Metode Forward Chaining Untuk Mendiagnosa Penyakit Pulpa Dan Periapikal

2019 ◽  
Vol 5 (2) ◽  
pp. 177-193
Author(s):  
Irfan Mahendra ◽  
Fadhilah Fadhilah ◽  
Ilfa Khairina
Keyword(s):  
Quality Of Life ◽  
Expert System ◽  
Dental Care ◽  
System Application ◽  
Dental Health ◽  
Web Based ◽  
Low Level ◽  
Forward Chaining ◽  
The Cost

Pulp and periacal disease is happening in Indonesia. This is because knowledge and people awarness to take care their dental health is in low level, so that a few of people in Indonesia do not know types, symptoms, and the solution, how to resolve the problem. Altough pulp and periacal disease have a bad impact like the patient's quality of life. Besides the cost of expensive dental care and have an impact on a person's overall health, such as can cause catastrophic diseases such as stroke, heart desease, and kidney. Based on these conditions, very important to make a web-based expert system to diagnose this problem with forward chaining methode. The expert system is created using  Dreamweaver C56, PHP, CSS, and MySQL. Through this system application, people will find out the information and get consultations about pulp and periapical disease easily and quickly, so that it can be dealt with quickly and correctly.

scholarly journals Design and Application of Detection Damage Hardware to Your Computer with Certainty Factor

2021 ◽  
Vol 5 (10) ◽  
pp. 28-31
Author(s):  
Fitri Ayu ◽  
Dwi Sapta Aryatiningsih ◽  
Ambiyar . ◽  
Fahmi Rizal ◽  
Anita Febriani
Keyword(s):  
Expert System ◽  
Research Method ◽  
Factor Models ◽  
Black Box ◽  
Computer Hardware ◽  
Computer Users ◽  
Certainty Factor ◽  
Literature Study ◽  
Web Based ◽  
Black Box Testing

In this study, an expert system is used to detect symptoms of damage to computer hardware. With the application of certainty factor models, it is expected to be able to detect symptoms of damage to computer hardware starting with the symptoms of damage from the computer along with solutions for handling the damage. This study aims to produce a fault diagnosis application on web-based computer hardware. This application is expected to make it easier for users to find solutions regarding experienced hardware problems. This expert system application is made using the certainty factor method so that the resulting diagnosis will display symptoms that have more certainty factors. This application was designed using UML and the PHP programming language with black-box testing. The study was conducted by collecting data through literature study, browsing, and interviews. The research method used is the waterfall method. The time of the research is from September 2019 to February 2020. This research is in an application to diagnose damage to computer hardware. Computer Hardware Damage Detection Application can be a guide for computer users in overcoming the damage to hardware with certainty factor methods and can help users in caring for computer hardware so it is not easily damaged.

scholarly journals Identifying Severe Malnutrition in Children with an Expert System

2021 ◽  
pp. 15-20
Author(s):  
Devia Kartika ◽  
Rima Liana Gema ◽  
Mutiana Pratiwi
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Computer Program ◽  
System Application ◽  
Nutrition Status ◽  
Easy Access ◽  
Severe Malnutrition ◽  
Inference Method ◽  
Human Expert ◽  
System Method

Expert system is a computer program which is designed for modelling the ability of problem solving as it is an expert (human expert). The expert system method used is the forward chaining method which is the inference method that is doing logical reasoning from the problem to its solution. The aim of this research is to design and develop an expert system that is able to identify the severe malnutrition on children from the age of 0 - 5 years old. The knowledge is derived from the question askedto a nutrition expert. The data are taken from the questions asked to the user and when all of the questions has been answered, then the goal will be appeared which shows the nutrition status. This system application will enable the user to diagnose the nutrition/disease that affects children and get the solution. This system can be used by any kind of user due to the easy access. This system is also put the important information about the severe malnutrition and the recent news of children’s health so it will add more knowledge for the parents about the importance of severe malnutrition’s prevention.

scholarly journals SISTEM PAKAR PENDIAGNOSA PENYAKIT MENULAR PADA ANJING

2013 ◽  
Vol 2 (1) ◽  
pp. 42
Author(s):  
KADEK RISNA WITARI ◽  
I G.K. GANDHIADI ◽  
I PUTU EKA NILA KENCANA
Keyword(s):  
Infectious Disease ◽  
Expert System ◽  
Infectious Diseases ◽  
Physical Characteristics ◽  
Certainty Factor ◽  
Inference Method ◽  
Web Based ◽  
The Media ◽  
The Relationship ◽  
Web Based System

The closeness of the relationship between dogs and human makes the dog can be trained, played together, lived together with human and are invited to socialize with human and other dogs. But, despite its this relationship, the dogs can also have a contagious disease that may be harmful to human. Diagnostic expert system for infectious disease in dogs for as web-based system with the media android used as a tool for diagnosing infectious diseases in dogs based on physical characteristics or symptoms that can be seen or felt without through examination of the specifics. The diagnostics final results are expected to be a reference for further examination and handling of dogs that contract the disease is detected to prevent the disease for humans. This expert system uses a forward chaining inference method and Certainty Factor to infer.

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 Implementing Backward Chaining Method in Expert System to Detect and Treat Rice, Chilli, and Corn Plant’s Pests and Diseases

2018 ◽  
Vol 2 (02) ◽  
pp. 71-75
Author(s):  
Anton Muhibuddin ◽  
Primaadi Airlangga ◽  
M. Mirza Sulthoni ◽  
Aries Budi Wicaksana
Keyword(s):  
Expert System ◽  
Smart Phone ◽  
Staple Food ◽  
Chilli Pepper ◽  
Web Based ◽  
Backward Chaining ◽  
Pests And Diseases ◽  
Corn Plants ◽  
Web Based System ◽  
Low Rate

Indonesia is an agrarian country which most of it’s citizens are farmer. There are various kind of decent plants to grow in Indonesia but most of them plant rice, corn, wheat, and sago as staple food. There other plants that is consumed not as main food but as subsidiaries, one of them are chilli pepper. Abundant variety of vegetation in Indonesia means that there are also many type of pests and diseases. An agriculture expert is needed to identify plant’s diseases and pest correctly. Meanwhile, the number of agriculture experts is insufficient to help massive amount of farmer whom have trouble in agriculture. This problem can be solved by using Expert System where farmers can detect the problem on their plants and finding treatment to cure their plants correctly them self. This research is mean to develop an Expert System Application in agriculture  to identify diseases and pests based on their symptoms especially rice, chilli, and corn plants. This Expert System is based on web program using Backward Chaining Inversion which is deemed necessary to solve the case study’s problem.  Responsive Web Based System can be  accessed by user or client from many devices especially their smart phone help diagnose disease that occurs to their plant, more over, to solve the low rate of expert on agriculture.

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.

scholarly journals Sistem Pakar Diagnosa Gangguan Hiperaktif Pada Anak Dengan Metode Naive Bayes Berbasis Web

2019 ◽  
Vol 3 (2) ◽  
pp. 90
Author(s):  
Yunia Ervinaeni ◽  
Aziz Setyawan Hidayat ◽  
Eri Riana
Keyword(s):  
Expert System ◽  
System Application ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Bayes Method ◽  
Web Based ◽  
The Public ◽  
Hyperactivity Disorder ◽  
Psychiatric Problems ◽  
Naive Bayes Method

Disorder concentration attention or better known as ADHD (Attention Deficit Hyperactivity Disorder) is one of the main psychiatric problems that are often found in children. Hyperactive disorders are usually seen in children and as we get older the more difficult to deal with. There were 3 hyperactive disorders taken in this study namely hyperactivity, Impulsivity, Inattetion (Personality Problems). To help diagnose these hyperactive disorders, an expert system application is made to diagnose hyperactive disorders in children that can facilitate the public in diagnosing hyperactive disorders in children. Making this web-based expert system application uses the Naive Bayes method. The Naive Bayes method is a simple opportunity classification based on the application of the Bayes theorem with the assumption that between variables (independent) the presence or absence of a particular event from a group is not related to the presence or absence of other events. The final results are given in the form of a percentage of the diagnosis of hyperactivity in children.

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