scholarly journals Sistem Pakar Diagnosa Kerusakan Playstation2 Berbasis Web Dengan Metode Forward Chaining

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ludfi Sanjaya ◽  
Belsana Butar Butar
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Video Games ◽  
Expert Systems ◽  
Major Influence ◽  
Damage Diagnosis ◽  
Web Based ◽  
Hard Drive ◽  
Forward Chaining ◽  
Technological Advances

Abstract - Playstation2 is the best console of all time and has a major influence on the development of video games. So from that playstation2 until now still in demand in the community in all the game lovers. Basically the problem of damage to playstation2 is the most common case found in playstation2 and private rental employers who have playstation2. This damage requires fast and correct handling, as it can be quite detrimental to playstation2 rental entrepreneurs. Current technological advances to facilitate the work of man, because nowadays we can create an artificial intelligence that one of them called expert systems. For the development of expert systems requires hardware (hardware) such as a monitor, a processor, a minimum of 214 GB hard drive, 320 GB of memory, mouse and keyboard. Perangkat (software) consists Adove CS8 Dreamweaver, MySQL, XAMPP, Browser such as Mozilla. This application was designed with a web and an attractive appearance that can be used online for consultation. The results of this research is the application of playstation2 damage diagnosis expert system based on the indication symptoms of playstation2 problems. Keyword: Expert System, Forward Chaining, Playstation2 Diagnose, Web Based

scholarly journals Design of the expert system to analyze disease in Plant Teak using Forward Chaining

2017 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Poningsih Poningsih
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Economic Value ◽  
Disease Diagnosis ◽  
High Quality ◽  
Web Based ◽  
Community Forests ◽  
Forward Chaining ◽  
Teak Wood

Teak is one kind of plant that is already widely known and developed by the wider community in the form of plantations and community forests. This is because until now Teak wood is a commodity of luxury, high quality, the price is expensive, and high economic value. Expert systems are a part of the method sciences artificial intelligence to make an application program disease diagnosis teak computerized seek to replace and mimic the reasoning process of an expert or experts in solving the problem specification that can be said to be a duplicate from an expert because science knowledge is stored inside a database  Expert System for the diagnosis of disease teak using forward chaining method aims to explore the characteristics shown in the form of questions in order to diagnose the disease teak with web-based software. Device keel expert system can recognize the disease after consulting identity by answering some of the questions presented by the application of expert systems and can infer some kind of disease in plants teak. Data disease known customize rules (rules) are made to match the characteristics of teak disease and provide treatment solutions.

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 Sistem Pakar Untuk Mendeteksi Kerusakan Pada Sepeda Motor Dengan Menggunakan Metode Forward Chaining Berbasis Web

2018 ◽  
Vol 9 (1) ◽  
pp. 42-58
Author(s):  
Januardi Nasir ◽  
Zefly Haposan Gultom
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
System Design ◽  
Programming Language ◽  
Production System ◽  
Web Based ◽  
Forward Chaining ◽  
Knowing That ◽  
System Method ◽  
System Data

Kebanyakan pengendara cenderung menyerahkan sepeda motor kepada mekanik tanpa mengetahui sebenarnya kerusakan tersebut merupakan kerusakan sederhana atau terlalu rumit untuk diperbaiki. Untuk menangani permasalahan tersebut maka dibutuhkan sebuah sistem pakar yang mampu untuk menganalisa, menemukan dan memberikan solusi. Kemampuan seorang mekanik sepeda motor dapat diimplementasikan kedalam sebuah sistem pakar. Data-data yang berkaitan dengan kerusakan sepeda motor 4-tak dianalisa kemudian diolah menggunakan metode sistem pakar forward chaining. Model representasi pengetahuan yang digunakan dalam sistem pakar adalah berbasis kaidah produksi. Desain sistem dilakukan menggunakan bantuan aplikasi starUML. Sistem pakar dibuat menggunakan bahasa pemrograman PHP dan database MySQL sehingga menghasilkan sebuah sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak menggunakan metode forward chaining berbasis web. Berdasarkan hasil pengujian dan percobaan yang telah dilakukan menunjukkan bahwa sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak berfungsi dengan baik. Sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak menggunakan metode forward chaining berbasis web dapat digunakan untuk membantu mekanik dalam menangani permasalahan yang berkaitan dengan sepeda motor dan juga dapat digunakan sebagai sumber pengetahuan mengenai hal-hal yang berhubungan dengan sepeda motor 4-tak seperti gejala kerusakan sepeda motor 4-tak, penyebabnya serta solusi untuk mengatasinya.  Abstract Most rider tend to give motorcycles to mechanics without knowing that the damage is simple or too complicated to repair. To handle these problems then needed an expert system that is able to analyze, find and provide solutions. The ability of a motorcycle mechanic can be implemented into an expert system. Data related to 4-stroke motorcycle damage were analyzed and then processed using forward chaining expert system method. The model of knowledge representation used in expert systems is based on the rules of production. System design is done using the help of starUML application. Expert systems are created using the PHP programming language and MySQL database so as to generate an expert system to detect 4-stroke motorcycle damage using web-based forward chaining method. Based on the results of tests and experiments that have been done show that the expert system to detect the damage 4-stroke motorcycle is not working properly. The expert system for detecting 4-stroke motorcycle damage using a web-based forward chaining method can be used to assist mechanics in dealing with motorcycle-related issues and can also be used as a source of knowledge on matters relating to 4-stroke motorcycles such as symptoms 4-stroke motorcycle damage, its causes and solutions to overcome them.     

A Mobile Phone-Based Expert System for Disease Diagnosis

2013 ◽  
pp. 220-235 ◽  
Author(s):  
Olufemi Moses Oyelami
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Computer Literacy ◽  
Disease Diagnosis ◽  
Machine Intelligence ◽  
Web Based ◽  
The World

Medicine is one of the areas that has benefited from the use of artificial intelligence since the advent of machine intelligence. Different expert systems for diagnosing diseases have been developed; however, they are either standalone or Web-based systems. This puts a vast majority of Africans in general and Nigerians in particular at a disadvantage, because of computer literacy, accessibility, and usage are very low in this region of the world. Recent advances in the capabilities of mobile phones and increased usage, however, have opened up new opportunities for innovative and complex applications that can be accessed via mobile phones. This chapter presents a disease diagnosis system that can be accessed via mobile phones to cater to the needs of the vast majority of users in places where healthcare is inadequate.

scholarly journals SISTEM PAKAR MENDIAGNOSA PENYAKIT CAMPAK DAN RUBELLA DENGAN METODE FORWARD CHAINING BERBASIS WEB

2020 ◽  
Vol 3 (1) ◽  
pp. 51
Author(s):  
Asep Herman ◽  
Fungki Darmawan
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Research Methods ◽  
Human Activities ◽  
Research Method ◽  
System Analysis ◽  
Web Based ◽  
Know How ◽  
Forward Chaining ◽  
The Web

Abstract:The development of technology is growing rapidly, one of which is to facilitate human activities by continuing to create new things such as Artificial Intelligence (AI) Systems that can help solve problems easily from the help of computers. The problem that will be discussed in this study is "The expert system for diagnosing measles and rubella using the web-based forward chaining method" is one part of AI, namely Expert System with the intend that users can know how much percentage of the disease they feel it.The research method used in this case refers to the journal "Pemanfaatan Sistem Inferensi Fuzzy pada Aplikasi Pendiagnosis Penyakit Kulit pada Anak" which is only to determine the value weight of symptoms of Measles and German Measles (Rubella) and for prevention or solutions that have been used briefly which comes from the source of articles on measles and rubella from alodokter.com and has been reviewed by Dr. Marianti. For research methods of system analysis using forward chaining method is useful for the running of symptom selection along with the weight of the values that have been determinedAt this conclusion the case discussed is useful for users who feel symptoms of Measles and Rubella and how to prevent it by using a website-based application. It should be noted that the discussion in this case is not to be the main reference in diagnosing measles and rubella and is not recommended to users who have measles and rubella with conditions that must be handled in an emergency.           Keywords : Expert system, Measles and German Measles (Rubella), forward chainingAbstrak: Perkembangan teknologi bertumbuh dengan cepat salah satu nya untuk mempermudah kegiatan manusia dengan terus menciptakan hal yang baru seperti Artificial Intelligence (AI) Sistem yang dapat membantu dalam menyelesaikan masalah dengan mudah dari bantuan komputer. Pada masalah yang akan di bahas pada penelitian kali ini adalah “Sistem pakar mendiagnosa penyakit campak dan rubella dengan metode forward chaining berbasis web” salah satu bagian dari AI yaitu Sistem Pakar dengan tujuan supaya pengguna dapat mengetahui seberapa peresentase penyakit yang dialami pengguna.Metode penelitian yang di gunakan pada kasus ini mengacu pada jurnal “Pemanfaatan Sistem Inferensi Fuzzy pada Aplikasi Pendiagnosis Penyakit Kulit pada Anak” yang hanya untuk mengetahui bobot nilai dari gejala Campak dan Campak jerman (Rubella) dan untuk pencegahan atau solusi yang di gunakan sudah di ringkas yang berasal dari sumber artikel campak dan rubella dari alodokter.com dan sudah ditinjau oleh dr. Marianti. Untuk metode penelitian pada analisis sistem menggunakan metode Forward Chaining berguna untuk berjalannya pemilihan gejala beserta bobot nilai yang sudah di tentukanPada kesimpulan kali ini kasus yang di bahas berguna bagi pengguna yang mengalami gejala pada penyakit Campak dan Rubella dan cara pencegahan nya dengan menggunakan aplikasi berbasiskan website. Perlu di ketahui pembahasan pada kasus ini tidak untuk menjadi acuan utama dalam mendiagnosa penyakit campak dan rubella dan tidak di anjurkan kepada pengguna yang mempunyai penyakit Campak dan Rubella dengan kondisi-kondisi yang harus di tangani secara darurat.Katakunci : Sistem Pakar, Campak dan Rubella, forward chaining

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)

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>

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 The Performance of Stock Portfolios formed using Fuzzy Logic

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Amit K. Sinha 1 ◽  
Andrew J. Jacob 2
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Expert System ◽  
Expert Systems ◽  
Fuzzy Membership ◽  
Thought Process ◽  
Membership Functions ◽  
Fuzzy Membership Functions ◽  
Stock Portfolios ◽  
Financial Securities

Expert systems, a type of artificial intelligence that replicate how experts think, can aide unskilled users in making decisions or apply an expert’s thought process to a sample much larger than could be examined by a human expert. In this paper, an expert system that ranks financial securities using fuzzy membership functions is developed and applied to form portfolios. Our results indicate that this approach to form stock portfolios can result in superior returns than the market as measured by the return on the S&P 500. These portfolios may also provide superior risk-adjusted returns when compared to the market.

Fundamentals of creating MIVAR expert systems

2021 ◽  
Author(s):  
Oleg Varlamov
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Expert System ◽  
Expert Systems ◽  
Decision Support Systems ◽  
Intelligent Systems ◽  
Autonomous Robots ◽  
Support Systems ◽  
Knowledge Bases ◽  
Computer Engineering

Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.

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