scholarly journals A Web Based Expert System for Milch Cow Disease Diagnosis System in China

2008 ◽  
pp. 1441-1445 ◽  
Author(s):  
Libin Rong ◽  
Daoliang Li
Keyword(s):  
Expert System ◽  
Disease Diagnosis ◽  
Web Based ◽  
Diagnosis System

scholarly journals Implementasi Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit Ayam Berbasis Android

2019 ◽  
Vol 5 (3) ◽  
pp. 185
Author(s):  
Muqorobin Muqorobin ◽  
Prabowo Budi Utomo ◽  
Muhammad Nafi’Uddin ◽  
Kusrini Kusrini
Keyword(s):  
Expert System ◽  
Mobile Application ◽  
Expert Knowledge ◽  
Disease Diagnosis ◽  
Android Application ◽  
Certainty Factor ◽  
Web Based ◽  
Diagnosis System ◽  
Forward Chaining ◽  
Web Based System

Penelitian ini dilakukan berdasarkan kebutuhan akan adanya alat bantu bagi peternak maupun penyuluh dalam mendiagnosis penyakit pada ayam. Basis pengetahuan sepenuhnya diambil dari pengetahuan pakar yang dapat mendiagnosa dan menentukan nama penyakit yang diderita oleh ayam. Penelitian ini dibuat berdasarkan hasil analisis dengan membandingkan 4 jurnal internasional yang berjudul “Expert system of quail disease diagnosis using forward chaining method, An Expert System for Management of Poultry Diseases, Developling Mobile Expert Web-based System Using Brainstroming Method, Disease Diagnosis System”. Berdasarkan keempat jurnal tersebut dapat dikembangkan inovasi baru berupa Sistem pakar diagnosa penyakit ayam menggunakan metode Certainty Factor. Metodologi penelitian menggunakan wawancara dan studi literature sehigga dapat menggumpulkan data yang lebih lengkap. Sistem Pakar ini akan di implementasikan kedalam sebuah aplikasi mobile berbasis android dengan harapan memudahkan user dalam menggunakan karena dibuat kedalam aplikasi android sehingga bisa di install dalam handphone. Hasil akhir berupa suatu informasi data penyakit dengan nilai Certainty Factor/kepastian.Kata Kunci — Diagnosa Penyakit Ayam, Sistem Pakar, Android, Certainty FectorThis study was conducted based on the need for tools for farmers and extension workers in diagnosingdiseases in chickens. The knowledge base is completely drawn from the expert knowledge that can diagnose and determine the name of the disease suffered by chickens. This study was based on the results of the analysis by comparing four international journals entitled "Expert system of quail disease diagnosis using forward chaining method, An Expert System for Management of Poultry Diseases, Developing Mobile Expert Web-based System Using Brainstroming Method, Disease Diagnosis System". Based on the four journals can be developed a new innovation in the form of expert system of chicken disease diagnosis using Certainty Factor method. The research methodology uses interviews and literature studies so that it can collect more complete data. Expert System will be implemented into an android-based mobile application with the hope of facilitating the user in using because it is made into the android application that can be installed in the mobile phone. The final result is an information of disease data with Certainty Factor value/certainty.Keywords — Diagnosis of Chicken Disease, Expert System, Android, Certainty Fector

scholarly journals Development of a Web Based Expert System for Rubber Crop Disease Diagnosis and Management

2018 ◽  
Vol 10 (3) ◽  
pp. 239-248
Author(s):  
S. Konyeha ◽  
F. A. Imouokhome
Keyword(s):  
Expert System ◽  
Disease Diagnosis ◽  
Field Extension ◽  
Rule Base ◽  
Destructive Effect ◽  
Web Based ◽  
Procedural Code ◽  
Base Engine ◽  
Crop Disease ◽  
User Friendly

An expert system imitates the decision–making adeptness of a human expert. They are intended to answer complicated questions characterized mainly as if–then rules instead of traditional procedural code. A major problem facing the cultivation of rubber (Hevea brasiliensis) in developing countries is the destructive effect of pathogens which result in about fifty percent (50%) loss in crop yield. This problem persists, due to a communication gap between agricultural researchers, such that field extension officers, and farmers are hampered by various operational and logistic challenges. This paper is an effort to bridge this gap, and hence features an expert system that can be accessed online by farmers.  The expert system allows farmers to select disease symptoms presented in categories from a JAVA based user friendly graphical interface. The output generated by the rule–base engine, diagnoses the diseases of the rubber crop, and suggests curative and preventive measures. The main source of information for developing the expert system’ knowledge–base was the Rubber Research Institute, Iyanomo, Edo State, Nigeria.

Fish-Expert: a web-based expert system for fish disease diagnosis

2002 ◽  
Vol 23 (3) ◽  
pp. 311-320 ◽  
Author(s):  
Daoliang Li ◽  
Zetian Fu ◽  
Yanqing Duan
Keyword(s):  
Expert System ◽  
Disease Diagnosis ◽  
Fish Disease ◽  
Web Based

Pig-vet: a web-based expert system for pig disease diagnosis

2005 ◽  
Vol 29 (1) ◽  
pp. 93-103 ◽  
Author(s):  
F ZETIAN ◽  
X FENG ◽  
Z YUN ◽  
Z XIAOSHUAN
Keyword(s):  
Expert System ◽  
Disease Diagnosis ◽  
Web Based

scholarly journals Swine-Vet: A Web-based Expert System of Swine Disease Diagnosis

2015 ◽  
Vol 63 ◽  
pp. 366-375 ◽  
Author(s):  
Chutchada Nusai ◽  
Sirisak Cheechang ◽  
Somkid Chaiphech ◽  
Goragot Thanimkan
Keyword(s):  
Expert System ◽  
Disease Diagnosis ◽  
Web Based ◽  
Swine Disease

scholarly journals INTESTINE DISEASE DIAGNOSIS SYSTEM USING CERTAINTY FACTOR METHOD

2019 ◽  
Vol 6 (1) ◽  
pp. 82-94
Author(s):  
Chandra - Kirana ◽  
Harrizki Arie Pradana ◽  
Rahmat - Sulaiman
Keyword(s):  
Expert System ◽  
Digestive Tract ◽  
Human Body ◽  
System Application ◽  
Digestive Disease ◽  
Disease Diagnosis ◽  
Intestinal Disease ◽  
Certainty Factor ◽  
Intestinal Diseases ◽  
Diagnosis System

Inside the human body there are many important organs, one of which is the intestine. Intestinal disease / digestive disease is a disease that most often attacks the digestive tract in humans. There are several intestinal diseases that are dangerous and there are also harmless intestinal diseases. In this research, researchers created an android-based expert system application that can provide information to the users about diseases that are being suffered through the symptoms experienced by the user. The process of making expert system applications using the certainty factor algorithm. The certainty factor algorithm is used to accommodate the uncertainty of an expert's. The mechanism that be used in the certainty factor algorithm on each symptom uses a measure of increased belief (MB) and measure of increased disbelief (MD). Expert system applications that have been built to detect intestinal diseases based on Android have been successfully implemented with a presentation of accuracy of 99.7265625%. by that percentage, it show us that the diagnosis of symptoms of the selected disease is in suitable by the experienced of user, and has the accuracy determined by the system

scholarly journals Web-Based Expert System for Diagnosing Gastric Disease Using Bayes Theorem Method

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ayu Anggilina ◽  
Ade Eviyanti
Keyword(s):  
Expert System ◽  
Data Collection ◽  
Human Body ◽  
Quantitative Data ◽  
Bayes Theorem ◽  
Disease Diagnosis ◽  
Gastric Disease ◽  
Web Based ◽  
Data Collection Technique ◽  
The Mind

Health is a very expensive thing, so it takes an awareness to protect it. The human body has many limbs, one of which is the stomach. Gastric disease is a disease that cannot be accommodated, because if left untreated it can cause other diseases to arise and can also cause death if it is not immediately supported. Gastric disease can be caused by an inappropriate diet, a burden on the mind and also an infection caused by bacteria. The author took the initiative to create a web-based gastric disease diagnosis expert system using the Bayes theorem method which is useful for gastric disease sufferers in diagnosing their own gastric disease. The method used by researchers is the Bayes theorem method. The data collection technique used is quantitative data techniques. The results that have been achieved from this research are that it can prevent and minimize the risk of gastric disease in sufferers or the community.

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