scholarly journals Sistem Pakar Diagnosa Kerusakan Mesin Sepeda Motor Transmission Automatic dengan Metode Forward Chaining Studi Kasus: AHASS 00955 Mitra Perdana

2019 ◽  
Vol 19 (3) ◽  
pp. 544
Author(s):  
Imron Imron ◽  
Miftah Nur Afidah ◽  
M Sinta Nurhayati ◽  
Sulistiyah Sulistiyah ◽  
Fatmawati Fatmawati
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Inference Method ◽  
Structured Decision Making ◽  
Forward Chaining ◽  
System Diagnosis ◽  
Computer Based ◽  
Technology Users ◽  
Motorcycle Engine

Implementation of Expert System Diagnosis of motorcycle engine damage is a solution of motorcycle service at AHASS 00955 Mitra Perdana, Expert System is a system that is related to the knowledge possessed by experts and technology users to solve a problem. This article, discusses the design of decision-making applications that have an important role in the process of diagnosing motor engine damage. Because the system is currently running the user only hands over the motorcycle to the technician. The use of computer-based artificial intelligence can be a solution to problems in structured decision making. The design of this expert system is designed using the forward tracking inference method and is designed in the form of a website to facilitate users in using it.

scholarly journals Implementasi Forward Chaining Dan Breadth First Pada Sistem Pakar Diagnosa Gangguan Kehamilan

2019 ◽  
Vol 2 (2) ◽  
pp. 154-158
Author(s):  
Sri Handani Widiastuti
Keyword(s):  
Expert System ◽  
Pregnant Women ◽  
Public Understanding ◽  
Diagnostic Process ◽  
Inference Method ◽  
Forward Chaining ◽  
Computer Based ◽  
Waterfall Model ◽  
Development Methods ◽  
Pregnancy Disorders

Expert system is a computer-based system that uses knowledge, facts and reasoning techniques in solving problems that can usually only be solved by an expert. Inference method is a thinking mechanism and reasoning patterns used by the system to reach conclusions, while forward chaining is an inference method that traces starting from a set of facts by looking for rules that match the guesswork / hypothesis that leads to conclusions. Expert systems can be applied in various fields, including in medicine, for example how to diagnose a disease. Pregnancy is a happy moment for a mother, but there are still many problems with pregnancy problems in pregnant women because many do not know about pregnancy disorders that usually occur. Puskesmas Bontang Utara I has a program to reduce mortality in pregnant women and infants, by providing guidance and socialization on how to maintain a correct pregnancy. To facilitate public understanding and provide information related to pregnancy disorders, the researchers made the application system expert pregnancy disorders built using the PHP programming language, Dreamweaver 8 as an editor and MySql as the database. Software development methods use the waterfall model and system testing using blackbox. The expert system application in this study provides information on diagnosing pregnancy disorders in pregnant women such as consulting with experts. The diagnostic process starts with the way the user selects or inputs the type of complaint that is felt in accordance with the symptoms provided by the system. By using the forward chaining method and breadth first search search technique, the complaints that have been entered will be matched with the symptoms and types of disturbances stored in the database. So that the results of the diagnosis will be produced as the results of the diagnosis of experts. With this information helps pregnant women recognize pregnancy disorders during pregnancy.

scholarly journals SISTEM PAKAR PENENTUAN JENIS PLANKTONIC FORAMINIFERA BERBASIS WEB DENGAN METODE FORWARD CHAINING

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Daniel Alexander Octavianus Turang
Keyword(s):  
Artificial Intelligence ◽  
Information System ◽  
Expert System ◽  
Planktonic Foraminifera ◽  
Identification Process ◽  
Relative Age ◽  
Forward Chaining ◽  
User Data ◽  
Computer Based ◽  
Age Range

[Id]Mikropaleontologi merupakan salah satu cabang dari ilmu paleontologi yang mempelajari mikrofosil. Salah satu pengetahuan yang terdapat pada ilmu mikropaleontologi adalah planktonic foraminifera (fosil plankton). Metode yang digunakan dalam penelitian ini adalah metode Forward Chaining. Sistem yang akan dibangun merupakan suatu sistem informasi yang berbasis komputer dengan memanfaatkan teknologi kecerdasan buatan (artificial intelligence) yang berfungsi sebagai sistem alat bantu atau pemberi rekomendasi dari proses identifikasi planktonic foraminifera kepada user. Data rekomendasi yang dihasilkan oleh sistem ini dilengkapi dengan nama spesies planktonic foraminifera, nama genus,? gambar planktonic foraminifera, beserta sifat-sifat fisik dari planktonic tersebut sehingga user dapat mengetahui spesies planktonic foraminifera apa yang ditemukan. Sistem akan menganalisa jawaban dari setiap pertanyaan yang diberikan, sehingga diperoleh hasil dari identifikasi berdasarkan basis pengetahuan yang ada dalam sistem pakar ini. Tugas dari user hanya memasukkan planktonic foraminifera apa saja yang terdapat pada batuan tersebut. Dan setelah itu, sistem akan menghitung range umur relatif berdasarkan range umur dari setiap planktonic foraminifera yang telah dimasukkan.[En]Micropaleontology is one of the branches of the science of paleontology which studies Microfossils. One of the knowledge contained on the planktonic foraminifera is micropaleontology science (fossils of plankton). The methods used in this research is a method of Forward Chaining. The system to be built is a computer-based information system by utilizing the technology of artificial intelligence that serves as the system tools or giver recommendations of the identification process planktonic foraminifera to the user. Data recommendations generated by the system is equipped with a planktonic foraminifera species name, genus name, images of planktonic foraminifera, along with the physical properties of the planktonic so the user can identify the species of planktonic foraminifera what was found. The system will analyze your answers to each question are given, so that the obtained results from identification based on the existing knowledge base in expert system. The task of the user only put in planktonic foraminifera anything contained on these rocks. And after that, the system will calculate the relative age range upon range of planktonic foraminifera of any age that have been entered.

scholarly journals SISTEM PAKAR DIAGNOSA KERUSAKAN SEPEDA MOTOR YAMAHA MATIC MENGGUNAKAN METODE FORWARD CHAINING

2020 ◽  
Vol 5 (2) ◽  
pp. 126-135
Author(s):  
Asep Syaputra ◽  
Dedi Setiadi
Keyword(s):  
Expert System ◽  
Forward Chaining ◽  
Computer Based ◽  
Motorcycle Engine

The expert system is a computer-based system that uses knowledge, facts, and reasoning techniques to solve problems that usually only experts in their field can solve. The development of an expert system is aimed to help Yamaha motorbike users to solve damage problems to a Yamaha Automatic motorcycle. Damage to a Yamaha Automatic motorcycle is a problem that requires experts (technicians) to rely on their knowledge to solve the problem. This system is built using the forward chaining method which is used to test the factors that have been entered by using the rules stored in the system until a conclusion is obtained. By using the forward chaining method, it is hoped that it can help the system in diagnosing the damage to the Yamaha Automatic motorcycle engine. Therefore, by applying an expert system for motorcycle engine damage, the problem of Yamaha Automatic motorcycle engine damage can be resolved.

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 Jurnal APLIKASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT CAMPAK DAN PENCEGAHAN DENGAN METODE FORWARD CHAINING BERBASIS WEB

2019 ◽  
Vol 8 (2) ◽  
pp. 53-59
Author(s):  
Refni Wahyuni
Keyword(s):  
Expert System ◽  
Data Storage ◽  
System Application ◽  
Tracking Method ◽  
Application Program ◽  
Forward Chaining ◽  
System Diagnosis ◽  
Lay People ◽  
Technology And Communication

ABSTRAK             Pada saat ini perkembangan teknologi dan komunikasi dari waktu ke waktu terasa semakin pesat. Salah satu aplikasi dibidang komunikasi adalah sistem pakar. Program aplikasi sistem pakar   yang dirancang adalah sistem pakar untuk mendiagnosa penyakit seperti penyakit campak. Dengan adanya program aplikasi ini diharapkan orang awam yang kurang pengetahuan tentang penyakit campak akan menjadi lebih mengetahuinya. Kemudian aplikasi ini mudah penggunaannya dalam mendiagnosa penyakit campak tanpa harus pergi ke dokter, serta mudah diakses dimana pun dan kapan pun. Metode pelacakan yang digunakan adalah metode penalaran forward chaining (pelacakan ke depan). Program ini dirancang dengan menggunakan media pemrograman PHP (Hypertext Preprosessor) dan menggunakan database MySQL sebagai penyimpanan data yang tujuannya agar tampilan dapat lebih menarik dan mudah dalam penggunaannya, juga bisa diakses internet.              Kata Kunci : Sistem Pakar, Diagnosa Campak, Forward Chaining                                                             ABSTRACT           At this time the development of technology and communication from time to time seem more rapidly. One application in the field of communication is an expert system. Expert system application program is an expert system designed to diagnose diseases such as measles. With the application program is expected to lay people who lack knowledge of measles will be more informed. Then the application is easy to use in diagnosing measles without having to go to the doctor, as well as easily accessible wherever and whenever. Tracking method used is a forward chaining reasoning method (tracking ahead). The program is designed using PHP programming media (Hypertext Preprosessor) and uses a MySQL database as a data storage objective that can display more attractive and easy to use, can also be accessed internet. Keywords : Expert System, Diagnosis Measles, Forward Chaining

scholarly journals Expert System for Diagnosis of Uterine Myomas using the Certainty Factor Method

2021 ◽  
Vol 1 (4) ◽  
pp. 103-108
Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Computer System ◽  
Decision Making Process ◽  
Certainty Factor ◽  
Uterine Myomas ◽  
Factor Method ◽  
Two Factors

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.

scholarly journals SISTEM PAKAR BERBASIS WEB MENGGUNAKAN METODE FORWARD CHAINING DALAM MENGANALISA KERUSAKAN MESIN FOTOKOPI DAN PENANNGGULANGANNYA (STUDY KASUS DI Q-EL COPIER SERVICE CENTER AND DISTRIBUTOR)

JURTEKSI ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 163-172
Author(s):  
Refli Noviardi
Keyword(s):  
Expert System ◽  
Spare Part ◽  
Damage Analysis ◽  
Service Center ◽  
Know How ◽  
Forward Chaining ◽  
Simple Machine ◽  
Computer Based ◽  
User Need

Abstract: Photo Copy Machine is a machine which used for duplicating data on paper for many purpose. So this Machine is very important for many people. Cause of it. This machine can be damage quickly. And photo copy’ s machine is not a simple machine, becase all spare part in this machine is connecting one another. This condition can be worst because the comparison between machine and  technicians not balance and this condition make user need more time to fix that machine. Expert System is Computer Based system which adopting the expert skill to solve the problem base on the expert. This system is very suitable to solve the problem because with expert system, the user can know the machine damage and know how to fix this machine. And this sistem can be useful for user.with forward Chaining method. And the purpose from this research to make an expert system to analize the problem which can be realize from the machine’s operational dan fix it. Keyword: Expert System; Damage analysis; Forward Chaining; Photocopy Machine Abstrak:Mesin fotokopi merupakan mesin yang digunakan untuk menggandakan dokumen dalam bentuk kertas yang akan digunakan untuk berbagai keperluan, tingginya kebutuhan akan mesin fotokopi ini membuat pengoperasionalan mesin sangat tinggi dalam waktu yang lama. Keadaan ini membuat kondisi mesin menjadi turun dan mudah mengalami kerusakan. Mesin fotokopi merupakan salah satu mesin yang kompleks yang saling berhubungan satu sama lain, sehingga perlu penanganan ahli dalam memperbaikinya. Keterbatasan jumlah teknisi membuat mesin yang rusak lama untuk diperbaiki, sehingga diperlukan sebuah sistem yang dapat menggantikan posisi pakar dalam memperbaiki mesin fotokopi. Sistem pakar merupakan sistem yang berbasis komputer yang mengadopsi cara kerja pakar dalam menganalisa suatu masalah dengan metode yang telah disesuaikan dengan masalah yang ada, berdasarkan masalah yang telah dijabarkan diatas. Tujuan dari penelitian ini adalah bagaimana menciptakan sebuah aplikasi sistem pakar dengan metode forward chaining untuk menganalisa kerusakan mesin dan memberikan solusi untuk memperbaiki mesin fotokopi tersebut.  Kata Kunci: Analisa Kerusakan; Forward Chaining; Fotokopi; Sistem Pakar. 

Artificial Intelligence in Medical Science

2014 ◽  
pp. 11-23 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Decision Making ◽  
Signal Processing ◽  
Expert System ◽  
Knowledge Base ◽  
Medical Diagnosis ◽  
Medical Science ◽  
Inference Engine ◽  
Medical Decision

Applying Artificial Intelligence (AI) for increasing the reliability of medical decision making has been studied for some years, and many researchers have studied in this area. In this chapter, AI is defined and the reason of its importance in medical diagnosis is explained. Various applications of AI in medical diagnosis such as signal processing and image processing are provided. Expert system is defined and it is mentioned that the basic components of an expert system are a “knowledge base” or KB and an “inference engine”. The information in the KB is obtained by interviewing people who are experts in the area in question.

Emerging Application of Fuzzy Expert System in Medical Domain

2015 ◽  
pp. 1-20 ◽  
Author(s):  
A. V. Senthil Kumar ◽  
M. Kalpana
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert System ◽  
Fuzzy Inference ◽  
Fuzzy Expert System ◽  
Inference Mechanism ◽  
Medical Practitioners ◽  
Fuzzy Operators ◽  
Decision Making Problem ◽  
Fuzzy Inference Mechanism

Fuzzy expert system is an artificial intelligence tool that helps to resolve the decision-making problem with the existence of uncertainty and plays an important role in medicine for symptomatic diagnostic remedies. In this chapter, construction of Fuzzy expert system is the focused, which helps to diagnosis disease. Fuzzy expert system is constructed by using the fuzzification to convert crisp values into fuzzy values. Fuzzy expert system consists of fuzzy inference, implication, and aggregation. The system contains a set of rules with fuzzy operators T-norm and of T-Conorm. By applying the fuzzy inference mechanism, diagnosis of disease becomes simple for medical practitioners and patients. Defuzzification method is adopted to convert the fuzzy values into crisp values. With crisp values, the knowledge regarding the disease is given to medical doctors and patients. Application of Fuzzy expert system to diagnosis of disease is mainly focused on in this chapter.

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.  

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