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.

Dynamics in Knowledge

2012 ◽  
pp. 1595-1612 ◽  
Author(s):  
Shigeki Sugiyama
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Problem Solving ◽  
Small Area ◽  
Social Study ◽  
Engineering Science ◽  
The Past ◽  
Intelligent Software ◽  
System Method ◽  
Modern Engineering

Since the idea of “artificial intelligence with knowledge” had been introduced, so many thoughts, theories, and ideas in various fields of engineering, science, geology, social study, economics, and management methods have been proposed. Those things have been started as an extension of modern engineering control theories and practices. Firstly, expert system by using IF-Then rules came up to at a production spot in manufacturing, and then agent system method by using intelligent software programs for design, planning, scheduling, production, and management in manufacturing. And then after, the idea of “Knowledge” burst into the artificial intelligence field as a real aid for getting any purpose to be accomplished by having augmented the past key knowledge in terms of management (controlling). However, those augmented knowledge methods used to have usages only in a limited small area. In addition to this, lots of works have to be done before making the systems work for a target problem solving. And what is worse, lots of parts of systems have to be customized for a new application. This chapter introduces a new direction and a method in “Knowledge” by inaugurating the brand new idea of “Dynamics in Knowledge,” which will behave more flexibly and intelligently in real usages.

The Think Aloud Experiment of the Designing Process of an Expert

2010 ◽  
Vol 44-47 ◽  
pp. 4081-4083
Author(s):  
Qi Fan ◽  
Ying Zhang ◽  
Ling Hua Jiang ◽  
Yuan Li ◽  
Feng Hou
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Knowledge Acquisition ◽  
Cognitive Models ◽  
Think Aloud ◽  
Human Expert

Knowledge acquisition is the first step in building an expert system. However, it is very difficult to find out the problem-solving approaches from a human expert completely and correctly. Here we implemented the Think-aloud experiment with an expert in architecture. By coding and analyzing the designing process, other researchers could proceed our research and find out the cognitive models corresponded to the approaches and strategies of how experts solved the problems encountered during the normal designing process.

scholarly journals Sistem Pakar Mendiagnosis Penyakit Pada Tanaman Mentimun menggunakan Metode Dempster Shafer Berbasis Android

2021 ◽  
Vol 4 (2) ◽  
pp. 178-184
Author(s):  
Syaiful Amri ◽  
R. Fanri Siahaan
Keyword(s):  
Information Technology ◽  
Expert System ◽  
Problem Solving ◽  
Model Problem ◽  
Human Life ◽  
Human Expert

Abstrak— Teknologi informasi hampir tidak dapat dilepaskan dari berbagai aspek kehidupan manusia, dikarenakan kemudahan untuk mengakses informasi adalah salah satu pemanfaatannya. Minimnya pakar tumbuhan dan pengetahuan petani dalam menangani penyakit pada tanaman mentimun menyebabkan kerugian bagi petani khususnya petani mentimun. Selain daripada itu hal ini juga menjadi hambatan bagi para petani mentimun untuk mendiagnosa dan melakukan penanganan yang tepat terhadap penyakit mentimun yang menyerang tanaman yang mereka tanam. Petani kurang paham terhadap jenis penyakit pada tanaman mentimun, sehingga lambatnya proses penanganan pada tanaman mentimun. Dempster-Shafer dikenal adanya Frame of Discrement yang dinotasikan dengan dengan θ. Frame ini merupakan semesta pembicaraan dari sekumpulan hipotesis.Sistem pakar umumnya didefinisikan sebagai sebuah sistem yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar (human expert). Identifikasi masalah dalam penelitian ini yaitu kerusakan pada tanaman mentimun akibat sulitnya mengidentifikasi penyakit pada tanaman mentimun. ruang lingkup/batasan masalah dalam penelitian ini Data penyakit yang akan diteliti sebanyak 6 penyakit, data gejala yang akan diteliti sebanyak 12 gejala. Metode yang digunakan dalam mendiagnose penyakit pada tanaman mentimun ialah metode Dempster Shafer. Aplikasi yang digunakan adalah aplikasi Adobe Animate CC. Database yang digunakan adalah SQLite.Kata kunci: Penyakit Timun, Android, Sistem Pakar, Dempster Shafer Abstract— Information technology can hardly be separated from various aspects of human life, because the ease of accessing information is one of its uses. Farmers do not understand the types of diseases in cucumber plants, so the process of handling cucumber plants is slow. Dempster-Shafer is known for its Frame of Discrement which is denoted by θ. This frame is a universe of discussion from a set of hypotheses. An expert system is generally defined as a system designed to model problem-solving abilities like a human expert. Identification of the problem in this study is damage to cucumber plants due to the difficulty of identifying diseases in cucumber plants. the scope / limitation of the problem in this study. The disease data to be studied were 6 diseases, the symptom data to be studied were 12 symptoms. The method used in diagnosing diseases in cucumber plants is the Dempster Shafer method. The application used is the Adobe Animate CC application. The database used is SQLite.Keywords: Cucumber Disease, Android, Expert System, Dempster Shafer

Dynamics in Knowledge

2012 ◽  
pp. 102-119
Author(s):  
Shigeki Sugiyama
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Problem Solving ◽  
Small Area ◽  
Social Study ◽  
Engineering Science ◽  
The Past ◽  
Intelligent Software ◽  
System Method ◽  
Modern Engineering

Since the idea of “artificial intelligence with knowledge” had been introduced, so many thoughts, theories, and ideas in various fields of engineering, science, geology, social study, economics, and management methods have been proposed. Those things have been started as an extension of modern engineering control theories and practices. Firstly, expert system by using IF-Then rules came up to at a production spot in manufacturing, and then agent system method by using intelligent software programs for design, planning, scheduling, production, and management in manufacturing. And then after, the idea of “Knowledge” burst into the artificial intelligence field as a real aid for getting any purpose to be accomplished by having augmented the past key knowledge in terms of management (controlling). However, those augmented knowledge methods used to have usages only in a limited small area. In addition to this, lots of works have to be done before making the systems work for a target problem solving. And what is worse, lots of parts of systems have to be customized for a new application. This chapter introduces a new direction and a method in “Knowledge” by inaugurating the brand new idea of “Dynamics in Knowledge,” which will behave more flexibly and intelligently in real usages.

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 Mendiagnosa Penyakit Bawang Merah Dengan Metode Depthfirst Search Backward Chaining

2021 ◽  
Vol 4 (5) ◽  
pp. 356-362
Author(s):  
Johanes Perdamenta Sembiring ◽  
Jonson Manurung
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Powdery Mildew ◽  
Computer Program ◽  
Fusarium Wilt ◽  
Expert Advice ◽  
Test Results ◽  
Web Based ◽  
Backward Chaining ◽  
Inference Engines

There were 12 disease data obtained from the agriculture and horticulture department of Deli Serdang, namely earthworms, thrips pests, leaf caterpillars, armyworms, aphids, root namhodes, purple spots, powdery mildew, stem neck rot, anthracnose, fusarium wilt, rot. poor, dead shoots (phytopthora porri foister) and there are 30 Symptoms of disease in onion plants An expert system is a computer program that provides expert advice (decisions, recommendations or problem solving) as if people had been consulted. The backward chaining method is the opposite of forward chaining which starts with a hypothesis (an object) and asks for information to convince or ignore. Backward chaining inference engines are often called Object-Driven/Goal-Driven. In this study, a web-based expert system was designed using the backward chaining method which aims to detect the type of disease in shallot plants by paying attention to the symptoms experienced in shallot plants. By using the backward chaining method, the value of disease certainty in shallot plants will be obtained from the expert system designed. The test results concluded that the design of an expert system for diagnosing diseases in shallots using the backward chaining method was as expected.

EXPERT SYSTEMS: A PRIMER

2018 ◽  
Vol 8 (6) ◽  
pp. 59
Author(s):  
Matthew N. O. Sadiku ◽  
Yonghui Wang ◽  
Suxia Cui ◽  
Sarhan M. Musa
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Problem Solving ◽  
Expert Systems ◽  
Computer System ◽  
Problem Solving Skills ◽  
Human Expert ◽  
Body Of Knowledge ◽  
Intelligent Computer

Expert systems are one of the most exciting and promising applications of computers. An expert system (ES) is an intelligent computer system that contains an organized body of knowledge and emulates an expert problem solving skills. It is designed to emulate the decision-making ability of a human expert. This paper provides a primer on expert systems, their features, applications, benefits, and challenges.

ANDROID APPLICATION FOR DETECTION OF SKIN CANCER USING EXPERT SYSTEM

2018 ◽  
Vol 2 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Yogi Udjaja
Keyword(s):  
Risk Factor ◽  
Expert System ◽  
Skin Cancer ◽  
Cancer Cells ◽  
System Application ◽  
Ultraviolet Rays ◽  
The Sun ◽  
Android Application ◽  
Abnormal Growth ◽  
Skin Cells

Skin cancer is an abnormal growth of human skin that can damage skin cells. By knowing the symptoms of skin cancer as early as posssible, it is helpful in preventing the spread of cancer cells and treatment. There are many factors that cause skin cancer, but in general the cause is exposure to ultraviolet rays from the sun.  Therefore, an expert system application is required to detect skin cancer.  By using backward chining and probalility methode; which data is in form of someone’s risk factor and clinical sympthoms, then the application will provide temporary diagnosis.  This application is built in an android platfrom because in its development android is more used than other platforms. The accuracy obtained from this application is 96.67%.

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

2017 ◽  
Vol 3 (2) ◽  
pp. 108
Author(s):  
Dian Permata Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Inference Method ◽  
Medical Field ◽  
Forward Chaining ◽  
At Home

<p>Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi <em>forward chaining</em>. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga <em>user</em> akan mendapatkan solusi dari hasil pertanyaan tadi. </p><p><em><br /></em></p><p><em>Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.</em><em>Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.</em></p>

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