scholarly journals Expert System for Diagnosis Chicken Disease using Bayes Theorem

2019 ◽  
Author(s):  
HENGKI TAMANDO SIHOTANG
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Visual Basic ◽  
Bayes Theorem ◽  
Disease Diagnosis ◽  
The Body ◽  
Human Knowledge ◽  
Inference Process ◽  
Forward Chaining

Chicken disease is a condition in which the body organs of chickens cannot function normally. Diagnosing a disease requires symptoms that appear on the chicken's body. To conduct a disease diagnosis, further examination is needed by specialists (experts). An expert system is a system that uses human knowledge that is entered into a computer to solve problems that are usually resolved by experts. The system created in solving problems uses the Bayes Theorem method in which the inference process uses Forward Chaining. The application was developed using the visual basic 2010 programming language and MySQL database.

scholarly journals A Web Based Expert System for Identifying Bloomed Plants

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Anny Kartika Sari ◽  
Adriana Sari Aryani
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Future Development ◽  
Management System ◽  
Database Management ◽  
Database Management System ◽  
Inference Process ◽  
Web Based ◽  
Forward Chaining ◽  
Starting Point

This research discusses the development of a web based expert system for identifying bloomed plants. The identification is based on the seven visible features of a bloomed plant, i.e. the root type, the type of the plant, the shape of the flowers, the shape of the leaves, the height of the plant, and the length and the width of the leaves. For inference process, the forward chaining method is used. The system is developed using PHP as the programming language and MySQL as the database management system. Based on some testing conducted to the system, it can be concluded that the system can identify bloomed plants with the accuracy of 100%. The system can accommodate the update on its knowledge as long as the update is only on the available features in the system. This drawback can be used as starting point for the future development of the system.

scholarly journals SISTEM PAKAR PENGENALAN BAKAT DAN MINAT ANAK DENGAN METODE FORWARD CHAINING

SAINTEKBU ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 10-18
Author(s):  
Siti Uzlifatul Asma ◽  
Muhyiddin Zainul Arifin ◽  
Tholib Hariono
Keyword(s):  
Expert System ◽  
Multiple Intelligences ◽  
Programming Language ◽  
Visual Basic ◽  
Human Being ◽  
Special Interests ◽  
Forward Chaining ◽  
Child Intelligence ◽  
Visual Basic 6.0 ◽  
Alternative Decision

Every human being has an interest, and a different talent. Interest is a strong impetus for a person to do something he wants. Talent itself is an existing ability or innate or the ability that can be trained to master the things that interest. The potential of the child should be stimulated in advance so that it can be seen as a skill, knowledge and skillfulness that becomes the provision of his life. One way to recognize the child's talents and interests requires a test to understand the temperament and personality of the child, to understand multiple intelligences and to recognize the direction of the child's interest. The test is applied to an expert system using the Forward Chaining method to help determine the type of intelligence in the child. Each type of child intelligence has several potential talents and special interests of the child. The expert system is implemented in a Visual Basic 6.0 programming language. The results of this study in obtaining an alternative decision to recognize the type of intelligence of children who show potential talents and interests of children. So that talent can be further developed. Keywords: Talent and Interests, Forward Chaining, Expert System

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 Sistem Pakar Diagnosa Penyakit Kista Ovarium dengan Metode Forward Chaining

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 8-18
Author(s):  
Aggy Pramana Gusman ◽  
Dian Maulida ◽  
Eva Rianti
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Ovarian Cyst ◽  
Public Knowledge ◽  
Forward Chaining

Ovarian cyst disease can only attack women after 25 years old of age and above the lack of public knowledge about the symptoms of ovarian cyst disease is the problem, therefore the authors make an expert system diagnosing ovarian cyst disease with a forward chaining method where patients consults with how to answer a number of questions related to the symptoms of an ovarian cyst and the patients answers questions according to the symptoms felt by the patient. This expert system is created using the PHP programming language and MYSQL database. It is expected that with an expert system of diagnosing ovarian cyst disease, later it can facilitate patients in consulting about his ovarian cyst disease and can increase knowledge for the patient

scholarly journals Aplikasi Sistem Pakar Diagnosa Penyakit Pada Anak Bawah Lima Tahun Menggunakan Metode Forward Chaining

2017 ◽  
Vol 3 (1) ◽  
pp. 61 ◽  
Author(s):  
Bagus Fery Yanto ◽  
Indah Werdiningsih ◽  
Endah Purwanti
Keyword(s):  
Expert System ◽  
System Application ◽  
Disease Diagnosis ◽  
Information Collection ◽  
Forward Chaining ◽  
Second Stage ◽  
Children Health ◽  
Third Stage ◽  
Testing Data ◽  
Three Stages

Abstrak— Anak-anak pada usia 2 bulan sampai 5 tahun (Balita) lebih rentan terkena penyakit. Lingkungan sangat mempengaruhi kesehatan Balita. Penelitian ini bertujuan untuk membuat sebuah aplikasi sistem pakar diagnosa penyakit pada Balita berbasis mobile. Penelitian ini terdiri dari tiga tahap. Tahap pertama adalah pengumpulan data dan informasi dari Manajemen Terpadu Balita Sakit (MTBS) dan wawancara dengan Bidan. Dari pengumpulan data dan informasi tersebut ditemukan fakta penyakit, keluhan, gejala dan saran penanganan. Tahap kedua adalah pembuatan rule dengan 18 penyakit. Tahap ketiga adalah implementasi aplikasi sistem pakar berbasis mobile dengan fitur diagnosa penyakit, riwayat diagnosa dan kumpulan penyakit. Aplikasi sistem pakar yang dibuat dapat mendiagnosa penyakit dan memberikan saran penanganan. Hasil evaluasi dari 50 data uji coba menghasilkan tingkat akurasi sebesar 82%, dimana 41 hasil diagnosa yang benar dan 9 diagnosa yang salah. Kata Kunci— Sistem Pakar, Forward Chaining, Diagnosa Penyakit, Manajemen Terpadu Balita Sakit, Knowladge BaseAbstract— Children at the age of 2 months to 5 years (toddlers) are more susceptible to disease contagious. Environmental condition significantly influences the children health. This  research aimed to create a mobile-based expert system application to diagnose disease in toddlers. This research consist of three stages. The first stage were data and information collection from Manajemen Terpadu Balita Sakit  (MTBS) and interview with medical staffs. From the first stage, we can discover the disease facts, signs, symptoms and treatment advices. The second stage was the construction of rules for 18 diseases. The third stage was the implementation of mobile-based expert system application with features of disease diagnosis, diagnosis history and collection of disease diagnosis. Expert system application made able to diagnose the disease and provide treatment advice. The results of evaluation using 50 testing data provides the level of accuracy of 82%, where 41 diagnosis result were true and 9 diagnosis were false. Keywords— Expert System, Forward Chaining, Disease Diagnosis, Manajemen Terpadu Balita Sakit, Knowledge Base

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 Sistem Pakar dalam Mendiagnosis Penyakit Mata dengan Menggunakan Metode Forward Chaining

2021 ◽  
pp. 128-133
Author(s):  
Budi Permana Putra ◽  
Yuhandri Yunus ◽  
Sumijan
Keyword(s):  
Expert System ◽  
Human Life ◽  
The Body ◽  
Eye Disease ◽  
Early Prevention ◽  
The Public ◽  
Forward Chaining ◽  
Eye Health ◽  
Eye Problems ◽  
Visual Disturbances

The eye is one of the organs in the body that has an important role in human life, because the eye is one of the organs that has a function as vision in carrying out every activity. Eye health really needs to be maintained by diligently consulting or having your eyes checked by a doctor so that vision remains clear and there are no eye problems when looking at objects around us. However, eye health is often neglected, so that many various diseases can attack the eye. If not handled properly, diseases that attack the eye can cause visual disturbances and lead to blindness. Therefore, the eye must be kept healthy and kept clean because it is a very important organ of the human body. The purpose of building this expert system is to assist the public in diagnosing eye diseases from the symptoms that are being felt. This expert system will be a way out of eye problems that are suffered by the community, In this way people no longer have trouble going to the doctor. All data and facts to be processed are obtained from an expert, the method used in diagnosing this eye disease is the forward chaining method to apply the rules of the 28 symptoms and 8 diseases described by the expert. The results of the diagnosis using the Forward Chaining method is a very good level of accuracy in determining the type of eye disease that is suffered by the community and can provide early prevention for users who use this expert system.

APLIKASI SISTEM PAKAR UNTUK MENDIAGNOSA PENGGUNA NARKOBA MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB PADA BADAN NARKOSTIKA NASIONAL PROVINSI SUMATERA BARAT

2017 ◽  
Vol 2 (2) ◽  
pp. 001
Author(s):  
Rifa Turaina ◽  
Nelfira Nelfira ◽  
Rahmat Saputra
Keyword(s):  
Expert System ◽  
Programming Language ◽  
Drug User ◽  
Prevention And Control ◽  
Technological Development ◽  
Certainty Factor ◽  
Web Based ◽  
Forward Chaining ◽  
To Come ◽  
And Control

When seeking a consultation to diagnose drugs and find out the solutions of prevention and control over drugs, users need time, money and energy to come and consult a doctor or rehabilitation officer at the National Narcotics Board of West Sumatera Province. Expert System to diagnose this drug user using Forward Chaining Method in selecting symptoms - symptoms that appear on the drug user and using the Certainty Factor Method to determine the amount of confidence or expert beliefs against the diagnosis results. Expert System is one of the implementation of technological development that can solve a problem like a human being. This system has the ability to diagnose the types of drugs used along with prevention and how to overcome them. Expert System is designed web-based using the programming language PHP (Hypertext Preprocessor) and MySQL databases, as well as internet connected that can facilitate people to diagnose the type of drugs and know the prevention and prevention of drug use.

scholarly journals SISTEM PAKAR BERBASIS LOGIKA FUZZY UNTUK DETEKSI LEVEL PENYAKIT SCABIES

CCIT Journal ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 186-196
Author(s):  
Muhamad Safi’i ◽  
Hanny Haryanto
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Skin Disease ◽  
Direct Contact ◽  
Disease Diagnosis ◽  
The Body ◽  
Infected Person ◽  
History Of ◽  
Short Time

Scabies is a skin disease that is easily transmitted, either through direct contact or through intermediaries such as clothes, bed sheet, and water. The disease causes itching on the body, especially at night. Transmission of the scabies disease is very fast and can develop into an outbreak in a community. Obstacles that occur in the treatment of this disease is not all people with the disease could check it for a variety of reasons, such as too busy with work and economic limitations. This research using fuzzy Tsukamoto to develop an expert system for the detection of scabiesdisease. The use of expert systems is very important because it can be a tool to substitute the expert, the expert system is easy to use, and can make decisions in a short time. Scabies disease diagnosis process carried out by way of input symptoms  that suffered by patients. Symptoms that are used as input is a scratchy, itchy location, number of lesions or spots, and an extensive history of itching or the number of infected person. The outcome of this process is the level of scabies from mild to severe

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