scholarly journals PERANCANGAN SISTEM PAKAR MENDIAGNOSA PENYAKIT KULIT PADA ANAK DENGAN MENGGUNAKAN METODE BACKWARD CHAINING

Jursima ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 6
Author(s):  
Nico Alvio Maiyendra
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Skin Diseases ◽  
Human Knowledge ◽  
Backward Chaining ◽  
Knowledge Based System ◽  
Knowledge Based

<p><em>Expert systems (expert systems) in general is trying to adopt a system of human knowledge into a computer, so the computer can resolve the problem as was done by the experts. Or in other words, the expert system is a system designed and implemented with the help of a specific programming language to be able to resolve the problem as done by experts.</em></p><p><em>In this case I tried to implement an expert system to diagnose </em><em>skin diseases for children</em><em> from the symptoms and the causes of </em><em>skin diseases for children</em><em>. The purpose of this paper is to build a knowledge-based system on </em><em>brain</em><em> cancer using backward chaining method that will be displayed in the form of a website using PHP programming and MySQL database.</em></p>

scholarly journals Design Of Expert System To Diagnose Sexually Infected Diseases In Human Using The Backward Chaining Method (Perancangan Sistem Pakar Untuk Mendiagnosa Penyakit Menular Seksual Pada Manusia Dengan Penerapan Metode Backward Chaining)

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 135-143
Author(s):  
Harkamsyah Andrianof
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Sexually Transmitted Disease ◽  
Transmitted Disease ◽  
Human Knowledge ◽  
Backward Chaining ◽  
Sexually Transmitted ◽  
Knowledge Based System ◽  
Knowledge Based

Expert systems (expert systems) in general is trying to adopt a system of human knowledge into a computer, so the computer can resolve the problem as was done by the experts. Or in other words, the expert system is a system designed and implemented with the help of a specific programming language to be able to resolve the problem as done by experts. In this case I tried to implement an expert system to diagnose sexually transmitted disease from the symptoms and the causes of Sexually Transmitted Disease. The purpose of this paper is to build a knowledge-based system on Sexually Transmitted Disease using backward chaining method that will be displayed in the form of a website using PHP programming and MySQL database.

Design of an Android-Based Tropical Disease Diagnosis Expert System Design Using a Combined Method of Forward Chanining and Backward Chaining

2015 ◽  
Vol 1 (1) ◽  
pp. 43-50
Author(s):  
Muhammad Fahmi Hidayah
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Disease Diagnosis ◽  
Reference Book ◽  
Combined Method ◽  
Specific Domain ◽  
Backward Chaining ◽  
Forward Chaining ◽  
Knowledge Based ◽  
Specific Symptoms

A doctor or medical scholar needs a reference book to learn how to diagnose tropical diseases. This reference book is sometimes a hassle if you have to carry it everywhere. This reference book is also impractical if you have to search it first to find the symptoms and diseases you want to study. So that we need a system to make it easier for doctors and medical scholars to study the science of diagnosis and look for symptoms and diseases. Expert systems are knowledge-based programs that provide expert quality solutions to problems in a specific domain. This expert system is used in the fields of medicine, agriculture, business, and others. Expert systems in the field of medicine make it easy to identify diseases suffered by patients through the symptoms present in the patient. This expert system helps doctors make diagnoses to convince doctors about the results of the diagnosis. The expert system in this study uses a combined method. The combined method is forward chaining and backward chaining. The forward chaining method is used to determine specific symptoms that appear, while the backward chaining method is used to trace general symptoms that arise from specific symptoms that have been previously selected. The result of combining these methods provides a diagnostic percentage of 100%. Meanwhile, the user's assessment of the system gives a good response.

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>

An Advisory Conceptual Design Tool for Mechanical Transmission Systems

1994 ◽  
Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Conceptual Design ◽  
Design Process ◽  
Design Tool ◽  
Mechanical Transmission ◽  
Transmission Systems ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Packaging Machine

Abstract This paper presents an advisory conceptual design tool for mechanical transmission systems. Space consideration was taken into account during the design process. A prototype function tree was built in the form of knowledge-based system to transfer a designer’s idea into a set of mechanical components. An advisory expert system was also developed to help a designer in decision making. As an example, a packaging machine is designed using the developed system.

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 Fasting Ontology in Pillars of Islam

2018 ◽  
Vol 12 (2) ◽  
pp. 562
Author(s):  
Sara Afiqah Mohd Zailani ◽  
Nurul Aswa Omar ◽  
Aida Mustapha ◽  
Mohd Hisyam Abdul Rahim
Keyword(s):  
Life Cycle ◽  
Expert System ◽  
Search Engine ◽  
Ontology Development ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Instance Search ◽  
The Individual

The development of Fasting Ontology in the Pillars of Islam is presented in this paper and has been built based on reliable sources of Islamic Knowledge. The METHONTOLOGY methodology is used for the ontology development, which include identifying motivation scenarios, creating the competency questions, implementation and evaluation. From the beginning of the development of life cycle, the ontology was appraised from the competency questions and the outcome were clear. Therefore, this ontology can link each concept specifically to the individual verse together with the Tafsir that is related to the topics. The ontology proposed will be part of a larger ontology on Five Pillars of Islam. This development of the ontology is intended to refer to the field of learning for other purpose. For instance, search engine, chatbot, expert system or knowledge-based system.

scholarly journals Sistem Diagnosa Penyakit THT Pada Balita Menggunakan Dempster Shafer

2018 ◽  
Vol 3 (1) ◽  
pp. 27
Author(s):  
Maura Widyaningsih
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Expert Systems ◽  
Expert Knowledge ◽  
Computing Systems ◽  
Knowledge Based System ◽  
Forward Chaining ◽  
Knowledge Based ◽  
Rule Changes ◽  
Auxiliary Program

Computer field supports the existence of auxiliary program in medical development that is expert knowledge-based system, this system is one branch of Artifical Intellegence (AI). Expert systems are knowledge in learning about estimation or decision-making ability of an expert. Problem solving in the identification of a disease by using auxiliary program is needed a method and concept. Calculation techniques in computing systems are so important, given the level of need for information and the settlement of cases quickly.The results of the study are expert applications that assist in providing results of diagnosis of symptoms managed  the system, with inference using forward chaining, and reasioning with Dempster Shafer. Dempster Shafer's method is not monotonous in solving uncertainty problems, due to the addition or subtraction of new facts. Rule changes will occur, allowing the system to do the work of an expert.Data changes will occur both to diseases, symptoms, solutions and rules, allowing the system to do the work of an expert. The results of manual calculations with the system gives results in accordance with the application of Dempster Shafer method. Management of rules in the database facilitates the search for symptoms within the system.

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.

Sistem Pakar Mendeteksi Penyakit Pada Tanaman Sayur Sawi Dengan Metode Bayes

2018 ◽  
Vol 2 (2) ◽  
pp. 109-118
Author(s):  
Friska Nainggolan ◽  
Harvei Desman Hutahaean ◽  
Asaziduhu Gea
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Plant Disease ◽  
Economic Value ◽  
Human Knowledge ◽  
Bayes Method ◽  
The People ◽  
Mustard Plant ◽  
Leaf Rot ◽  
Leaf Vegetables

Abstrak           Sayur sawi tergolong tanaman sayuran daun dari keluarga Crucifarea yang memiliki nilai ekonomi tinggi dan sudah sangat populer dikalangan masyarakat.Sayur sawi sering di gunakan masyarakat sebagai bahan olahan dalam berbagai jenis masakan.Pada umumnya sayur sawi di tanam di daerah dataran rendah hingga dataran tinggi dan panen di lakukan pada umur 30 -60 hari setelah tanam tergantung varietasnya.Sistem pakar merupakan sistem yang  berusaha mengadopsi pengetahuan manusia ke komputer, agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli . Metode bayes merupakan salah satu metode yang terdapat pada sistem pakar yang dapat menghitung  nilai-nilai probabilitas setiap gejala.Sistem pakar mendeteksi penyakit tanaman sayur sawi memilki 5 jenis penyakit yang terdapat pada tanaman sayur sawi yaitu Rebah semai,busuk daun, akar gada, bercak daun dan busuk alternaria.             Kata kunci : Sistem Pakar, Metode Bayes.Sayur sawi.   Abstract           Mustard vegetables are classified as leaf vegetables from the Cruciferaefamily which have high economic value and are very popular among the people. Mustard vegetables are often used by people as processed ingredients in various types of cuisine. In general, Vegetable Vegetables are planted in the lowlands to the highlands and harvest is done at the age of 30 - 60 days after planting, depending on the variety. Expert systems are systems that try to adopt human knowledge to computers, so that computers can solve problems as usual by experts. Bayes method is one of the methods found in expert systems that can calculate or process the probability values ​​of each symptom. The expert system detects mustard plant disease has 5 types of diseases found in mustard vegetable plants, namely seedlings, leaf rot, clubroot, leaf spot, alternaria rot.           Keywords: Expert System, Bayes Method, mustard greens.

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