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.

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.

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 Knowledge Base Design for Diagnosis Pregnancy Problems

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Farah Rifdah Arzumni ◽  
Rina Dewi Indahsari
Keyword(s):  
Expert System ◽  
Pregnant Women ◽  
Disease Diagnosis ◽  
Test Results ◽  
Backward Chaining ◽  
Decision Factors ◽  
System Diagnosis ◽  
Performance System ◽  
System Requirements ◽  
Specific Symptoms

In Indonesia, the death rate of pregnant women was still very high. Lack of knowledge about the perceived symptoms during pregnancy make pregnant women regardless of the specific symptoms that can be harmful and disease records indicate the causes of indirect maternal death in pregnant.  Moreover, the risk of pregnant mother mortality is also higher due to the delay in taking the decision factors for referenced. Based on the fact, the proposed solution in the form of expert system diagnosis of diseases of pregnant women using the method of Backward Chaining that can help recognize diseases during pregnancy to take place based on the perceived symptoms of pregnant women as well as references that should be targeted by the patient. The methods of the Backward Chaining have a performance system that is capable of running the functional needs and high accuracy percentage results. With the existence of a system of experts on pregnancy problems that use the Backward Chaining method can describe the level of confidence of an expert on the problem at hand. Based on the test results, obtained results 100% functionality of disease diagnosis expert system of pregnant women worked in accordance with a list of system requirements and the system.

scholarly journals Design of the expert system to analyze disease in Plant Teak using Forward Chaining

2017 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Poningsih Poningsih
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Economic Value ◽  
Disease Diagnosis ◽  
High Quality ◽  
Web Based ◽  
Community Forests ◽  
Forward Chaining ◽  
Teak Wood

Teak is one kind of plant that is already widely known and developed by the wider community in the form of plantations and community forests. This is because until now Teak wood is a commodity of luxury, high quality, the price is expensive, and high economic value. Expert systems are a part of the method sciences artificial intelligence to make an application program disease diagnosis teak computerized seek to replace and mimic the reasoning process of an expert or experts in solving the problem specification that can be said to be a duplicate from an expert because science knowledge is stored inside a database  Expert System for the diagnosis of disease teak using forward chaining method aims to explore the characteristics shown in the form of questions in order to diagnose the disease teak with web-based software. Device keel expert system can recognize the disease after consulting identity by answering some of the questions presented by the application of expert systems and can infer some kind of disease in plants teak. Data disease known customize rules (rules) are made to match the characteristics of teak disease and provide treatment solutions.

scholarly journals Children Disease Diagnosis System Using Forward Chaining Method (Sistem Pakar Diagnosa Penyakit Ayam Dengan Menggunakan Metode Forward Chaining)

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 179-187
Author(s):  
Hari Marfalino ◽  
Mutiana Pratiwi ◽  
Randi
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Animal Husbandry ◽  
Disease Diagnosis ◽  
Ordinary People ◽  
Diagnosis System ◽  
Forward Chaining

Expert systems are widely used in various types of fields, one of which is in the field of animal husbandry. The number of chicken farms that appear is not comparable with information and knowledge about raising chickens, so dependence on experts is the only solution in handling chicken disease problems. Expert systems can be a solution to problems that arise in terms of handling chicken disease. Expert systems that are built using the forward chaining method can work like an expert who can deduce the problem from the symptoms given. With the existence of an expert system, dependence on experts is no longer a solution in dealing with the problem of chicken disease, because ordinary people can also provide action like an expert.

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>

Expert System: Vertigo Disease Diagnosis with Backward Chaining Method

2020 ◽  
Author(s):  
Beki Subaeki ◽  
Shinta Getri Lovelina ◽  
Hanhan Hanafiah Solihin ◽  
SW Pitara ◽  
Ahmad Munandar ◽  
...  
Keyword(s):  
Expert System ◽  
Disease Diagnosis ◽  
Backward Chaining

scholarly journals Penerapan Metode Forward-Backward Chaining pada Sistem Pakar Pencegahan dan Pengobatan Penyakit Sapi

2021 ◽  
Vol 11 (1) ◽  
pp. 14-25
Author(s):  
M D Irawan ◽  
A Widarma ◽  
Y H Siregar ◽  
Rudi Rudi
Keyword(s):  
Expert System ◽  
Backward Chaining ◽  
Forward Chaining ◽  
Cattle Disease ◽  
The Village

Increasing the population of cattle in Aek Nagali village, especially in hamlet V, really helps the economy of the community, the health of the livestock raised by breeders is important for the animals themselves. It is difficult for veterinarians in Aek Nagali village so that it is the custom of people in the village where when their cows are sick and dying they are immediately slaughtered and the meat is traded. Even though this does not mean that the cow is suitable for consumption or not because there is a cow disease that can be transmitted to humans when eating beef. The purpose of this research is to build an expert system-based system that can provide an overview or decision. The method used is Forward Chaining and Backward Chaining in diagnosing cow disease. The discussion is focused on applying Forward Chaining and Backward Chaining rules and applying them to the system. From the results of research, the backward and forward methods provide information on how to prevent and treat cattle disease so that breeders can know what steps to take.

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.  

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