scholarly journals Expert System for Determination of Type Lenses Glasses Using Forward Chaining Method

2016 ◽  
Vol 3 (2) ◽  
pp. 177-188 ◽  
Author(s):  
Atikah Ari Pramesti ◽  
Riza Arifudin ◽  
Endang Sugiharti
Keyword(s):  
Expert System ◽  
Computer Science ◽  
Knowledge Base ◽  
Initial Information ◽  
Early Symptoms ◽  
Forward Chaining ◽  
Eye Disorders

One of the branches of computer science that is widely used by humans to help her work is the establishment of an expert system. In this study we will design an expert system for determining the type of spectacle lenses using a forward chaining method. In forward chaining method, starting with the initial information (early symptoms) and moved forward to fit more information to find the information in accordance with the rules of the knowledge base and production, and will be concluded in the form of the type of disorder diagnosis of eye disorders and provide solutions in the form of lenses of eyeglasses. Result from this study is that the match calculation of algorithm of forward chaining method between system and manual calculations produce the same output.

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 IMPLEMENTASI SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT TULANG PADA MANUSIA MENGGUNAKAN METODE FORWARD CHAINING

2019 ◽  
Vol 7 (1) ◽  
pp. 29-34
Author(s):  
Ferly Ardhy
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Bone Disease ◽  
Human Bone ◽  
Early Symptoms ◽  
The Public ◽  
Forward Chaining ◽  
Lack Of Knowledge

Bone disease is a condition that damages the skeleton and makes bones weak and vulnerable to fractures. The high disease is caused by ignorance and lack of knowledge about the disease. Therefore, an expert system was created to diagnose bone disease in humans. The method used in making this expert system is the forward chaining method, forward chaining method using the PHP programming language and MySQL database. The results of this study are the application of expert systems to diagnose human bone disease using a forward chaining method that can be accessed by the public at large to diagnose early symptoms of bone disease without limited distance and time used.

scholarly journals APLIKASI SISTEM PAKAR DIAGNOSA PENYAKIT GIGI METODE FORWARD CHAINING DI UPTD KESEHATAN PUSKESMAS BANGIL

JOUTICA ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 205
Author(s):  
Kurniawan Wahyu Haryanto ◽  
Ari Dwi Cahyono
Keyword(s):  
Expert System ◽  
Computer Science ◽  
Health Center ◽  
Dental Health ◽  
Computer Software ◽  
Patient Data ◽  
Search Method ◽  
Dental Disease ◽  
Medical Field ◽  
Forward Chaining

Teeth are organs that are very important and very vital. Therefore dental health is very important. Most of the Indonesian people, the appeal for dental examinations every six months is more often considered a breeze then, because they are more concerned with the health of other organs. Though diseases that attack teeth can have a very significant effect such as appearance problems. This research applies computer science in the medical field, especially for dental disease problems at the UPTD Health Center in Bangil using the expert system concept. Expert system is a system in the form of computer software where the computer is made as if - will think like an expert or expert in the field. The search method used is forward chaining, which is a search where facts are known to support conclusions. This expert system makes it easy for patients to conduct consultations, making it easier for the admin to manage symptom data and their illnesses and patient data, judging from the results of the questionnaire which states that it is very useful, can be used as a temporary doctor.

BRAINDEX: An Interactive, Knowledge-Based System Supporting Brain Death Diagnosis

1990 ◽  
Vol 29 (03) ◽  
pp. 193-199 ◽  
Author(s):  
G. Schwarz ◽  
R. Grims ◽  
E. Rumpl ◽  
G. Rom ◽  
G. Pfurtscheller ◽  
...  
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Natural Language ◽  
Brain Death ◽  
Knowledge Based System ◽  
Forward Chaining ◽  
Brain Death Diagnosis ◽  
Knowledge Based ◽  
Expert System Shell

AbstractBRAINDEX (Brain-Death Expert System) is an interactive, knowledge-based expert system offering support to physicians in decision making concerning brain death. The physician is given the possibility of communicating in almost natural language and, therefore, in terms with which he is familiar. This updated version of the system is implemented on an IBM-PC/AT with the expert system shell PC-PLUS and consists of about 430 rules. The determination of brain death is realized with backward chaining and for the optional coma-scaling a forward-chaining mechanism is used.

scholarly journals Bayes Theorem and Forward Chaining Method On Expert System for Determine Hypercholesterolemia Drugs

2019 ◽  
Vol 6 (1) ◽  
pp. 116-124 ◽  
Author(s):  
Anna Adi Perbawawati ◽  
Endang Sugiharti ◽  
Much Aziz Muslim
Keyword(s):  
Expert System ◽  
Computer Science ◽  
Medical Record ◽  
Bayes Theorem ◽  
Training Data ◽  
Drug Selection ◽  
Forward Chaining ◽  
Testing Data ◽  
Human Thinking ◽  
Selection Of

The development of technology capable to imitating the process of human thinking  and led to a new branch of computer science named the expert system. One of the problem that can be solved by an expert system is selecting hypercholesterolemia drugs.  Drug selection starts from find the symptoms and then determine the best drug for the patient. This is consist with the mechanism of forward chaining which starts from searching for information about the symptoms, and then try to illustrate the conclusions. To accommodate the missing fact, expert systems can be complemented with the Bayes theorem that provides a simple rule for calculating the conditional probability so the accuracy of the method approaches the accuracy of the experts. This reseacrh uses 30 training data and 76 testing data of medical record that use hypercholesterolemia drugs from Tugurejo Hospital of Semarang. The variable are common symptoms and some hypercholesterolemia drugs. This research obtained a selection of hypercholesterolemia drugs system with 96.05% accuracy

scholarly journals Development and evaluation of a urine protein expert system

1996 ◽  
Vol 42 (8) ◽  
pp. 1214-1222 ◽  
Author(s):  
M Ivandić ◽  
W Hofmann ◽  
W G Guder
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Test Strip ◽  
Diagnostic Value ◽  
Diagnostic Strategy ◽  
Urine Protein ◽  
Marker Proteins ◽  
Decision Supporting ◽  
Clinical Diagnoses

Abstract Based on the quantitative determination of creatinine, total protein, albumin, alpha 1-microglobulin, IgG, alpha 2-macroglobulin, and N-acetyl-beta, D-glucosaminidase in urine in combination with a test strip screening, the findings of hematuria, leukocyturia, and proteinuria can be assigned to prerenal, renal, or postrenal causes. Using this graded diagnostic strategy as a knowledge base, we developed a computerbased expert system for urine protein differentiation ("UPES") as a decision-supporting tool. The knowledge base was implemented as a combination of "if/then" rules and two-step bivariate distance classification of marker proteins. The knowledge for this form of pattern recognition was derived from the results for a set of 267 patients with clinically and histologically documented nephropathies. To determine the diagnostic value of UPES, we tested another set of data: results for 129 urine analyses from 94 patients. Using these data, the system reached 98% concordance with the clinical diagnoses for the patients and was superior to the diagnostic interpretations of four human experts. UPES has been successfully integrated into the laboratory routine process, including automated data import.

scholarly journals SISTEM PAKAR MENDIAGNOSA PENYAKIT FLU BURUNG SECARA ONLINE DENGAN METODE FORWARD CHAINING

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Arif Kurniawan
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Computer System ◽  
System Application ◽  
Computer Software ◽  
Health Conditions ◽  
Bird Flu ◽  
Forward Chaining ◽  
Patient Health ◽  
Best First Search

An expert system can be defined as a computer software that has a knowledge base for a particular domain and uses inference reasoning resembling an expert in solving a problem. Expert System to diagnose bird flu disease to discuss about how to create an expert system application that if able to diagnose bird flu disease and provide solutions of the disease. Where the expert system when associated with the ability of doctors in the early mediagnosa patient health conditions, can be created a computer system that is tasked to know and analyze the symptoms of illness suffered by patients to then provide direct advice to these patients. Inference technique that is done is forward tracking (forward chaining) with the method of search (Best First Search).

Towards an Expert System that Aids in the Diagnosis of Concrete Structures

2011 ◽  
Vol 61 ◽  
pp. 1-8
Author(s):  
Ali Messabhia ◽  
Naceur Hassounet
Keyword(s):  
Expert System ◽  
Mechanical Behavior ◽  
Knowledge Base ◽  
Environmental Conditions ◽  
Concrete Structures ◽  
Complex Matter

The concrete works, during their exploitation are exposed to operation or environmental conditions which can inflict certain degradations to them. Establishing a good diagnosis needs a particular knowledge of the behavior of concrete when exposed to aggressive agents, especially the mechanical behavior. The determination of the causes of degradation is a complex matter and the interaction between different pathologies makes it more difficult. The choice of the materials and techniques used to repair the damages is also very important to succeed in the intervention. Our objective is the development of a knowledge base which will be used as a base to formulate the rules used to organize, rationalize and optimize the diagnosis process of these pathologies. The knowledge base gathers the majority of known phenomena related to the degradation of the concrete works. It is organized according to a reasoning which enables to describe or to identify most damages and degradations of chemical or mechanical origins or of implementation. Used with an expert system it will enable us to evaluate the importance of the damage, the need to intervene and finally to propose recommendations about the appropriate procedures and materials needed to repair the damage.

Rancang Bangun Sistem Pakar Pendiagnosa Penyakit Demam Typhoid dan Demam Berdarah Dengue dengan Metode Forward Chaining

2012 ◽  
Vol 4 (1) ◽  
pp. 17-23
Author(s):  
Benny Wijaya ◽  
Maria Irmina Prasetiyowati
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Rule Based ◽  
Forward Chaining

Penyakit demam typhoid dan demam berdarah dengue merupakan penyakit yang umum di Indonesia. Kedua penyakit ini memiliki gejala yang hampir sama. Apabila pada saat menangani pasien, dokter salah mengetahui jenis penyakit yang diderita, hal ini dapat menyebabkan kematian. Oleh karena itu, dibuatlah Sistem pakar pendiagnosa penyakit demam typhoid dan demam berdarah dengue. Sistem pakar ini dibangun menggunakan metode inferensi forward chaining. Metode inferensi forward chaining ini diimplementasikan dengan menggunakan bahasa pemrograman C#. Sistem pakar yang dirancang dalam skripsi ini merupakan rule-based expert system. Dari hasil uji coba sistem dapat disimpulkan bahwa tingkat keakuratan sistem adalah 93,33%, rata – rata waktu yang dibutuhkan untuk mendiagnosa penyakit menggunakan sistem ini adalah 3,16 menit. Tingkat keakuratan sistem bergantung pada knowledge base yang disimpan dalam database

scholarly journals An Application of Expert System to Identify Trees Utilizing Leaf Images

2007 ◽  
Vol 1 (2) ◽  
Author(s):  
Muhammad Lhsan Sarita ◽  
Sri Hartati
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Data Base ◽  
Computer Programs ◽  
Forest Sector ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Almost All ◽  
User Friendly ◽  
Leaf Image

AbstractTree identification is a very important to support almost all activities in the forest sector. Unfortunately, the inavailability of data and computer programs that is user friendly have caused ineficiency in tree identification. This research tries to make an expert system to identify trees by using the leaf images. To store the data in the knowledge base one must choose one of the some leaf images that are in the data base available in the program according the characteristic of the leaf. Each leaf image has a code and the accumulation of all codes build a tree code then this code is saved in the knowledge base. The tree code is used to identify a tree by making the comparison between input chosen by user and the tree code in the knowledge base using forward chaining. User who has information about a tree can add to the knowledge base but this information must be validated by an expert before it is used in the system. Another task of an expert is to give a CF (certainty factor) for each tree.The result of this research shows that no more errors are found due to input mistakes and the program is more user friendly. Another advantage is that the knowledge base is more flexible, dynamic and well organized Validation of knowledge base by experts can increase the quality and accuracy of using the knowledge base system.Keywords : expert system, leaf image, knowledge base, forward chaining, CF

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