scholarly journals Sistem Pakar untuk Mendiagnosa Gangguan pada Sistem Hepatobiliaris Berbasis Android Mobile

2018 ◽  
Vol 3 (1) ◽  
pp. 98
Author(s):  
Redo Abeputra Sihombing
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Working Hours ◽  
Health Problems ◽  
Search Method ◽  
Forward Chaining ◽  
Best First Search ◽  
Client Side ◽  
Selection Of ◽  
The Way

Disturbances in the Hepatobiliaris system are health problems that are often encountered, even growing, so to know the diagnosis will be difficult. A better way is to consult an expert or an expert doctor. But there are also weaknesses such as working hours or limited experts. Expert system is one branch of artificial intelligence that learns how to adopt the way an expert thinks in solving a problem and make decisions and conclusions. The problem discussed is how to design a system that can be used to solve the above problems. The purpose and objective of the author in making this expert sisem is to assist the prospective physician in diagnosing disorders of the Hepatobiliaris system like an expert. Expert system using Best First Search method and using Forward Chaining technique. In this system poured knowledge of an expert in the can during research at Permata Ibu Hospital. An expert system developed based on Android on the client side, PHP and MySQL. This expert system displays a selection of symptoms that can be selected by the user, where each choice of symptoms that will lead the user to the next symptom option to get the conclusion.

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 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.

scholarly journals Sistem Pakar untuk Mendiagnosis Gangguan Mental pada Anak Menggunakan Metode Forward Chaining dan Certainty Factor

2020 ◽  
Vol 2 (2) ◽  
pp. 280-291
Author(s):  
Salma Nabilla Ulpa ◽  
Fitri Bimantoro
Keyword(s):  
Expert System ◽  
Mental Disorders ◽  
Mental Health Problems ◽  
Health Problems ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Physical Health Problems ◽  
Artificial Intelligence Technology ◽  
Calculation System ◽  
As Stress

Mental health problems in children, such as stress, anxiety, or depression are real and these problems are as important as physical health problems, but many children do not get the care they need so an artificial intelligence technology such as an expert system can help diagnose the disorder mentally in children early. This research developed an expert system to diagnose mental disorders in children using the mobile-based Forward Chaining and Certainty Factor method that diagnoses 7 types of mental disorders in children from 46 symptoms obtained based on the knowledge of 3 experts. Based on the results of the black box testing states that the expert system that was built has had compatibility in terms of functionality. The results of the theoretical calculation test states that the calculation system of an expert diagnosis of a child's mental disorder is in accordance with the results of calculations done manually. In testing the accuracy of the system from 30 cases tested on 3 experts, the expert system that was built succeeded in producing system accuracy values ​​based on the final belief value of the three experts, based on the belief values ​​of experts 1, 2, and 3, respectively 91.11%, 96.67%, 96.67% and 80%. Furthermore, the results of MOS testing conducted on 35 respondents produce MOS of 4.12 from a scale of 5 where based on that value the expert system built is categorized into a good system.

scholarly journals Sistem Pakar Diagnosa Penyakit THT Menggunakan Metode Dempster Shafer

Repositor ◽  
2020 ◽  
Vol 2 (9) ◽  
Author(s):  
Doni Yulianto ◽  
Yufiz Azhar ◽  
Nur Hayatin
Keyword(s):  
Expert System ◽  
Search Method ◽  
Rule Based ◽  
Forward Chaining ◽  
Lack Of Information ◽  
The Subject ◽  
The Right ◽  
Uncertainty Method ◽  
Development Step ◽  
Nose And Throat

AbstrakBerbagai penyakit pada manusia dapat menimbulkan masalah serius jika tidak cepat ditangani, seperti halnya penyakit THT (Telinga, Hidung, dan Tenggorokan). Penderita penyakit THT di Indonesia cukup tinggi, karena masyarakat sering menganggap remeh penyakit THT dan kurangnya informasi mengenai penyakit tersebut. Perlu adanya sistem yang memberikan informasi mengenai gejala pada penyakit THT dan jenis penyakit apa saja yang diderita, serta solusi apa yang tepat untuk menangani penyakit THT. Subjek dalam penelitian ini adalah sistem pakar untuk mendiagnosa penyakit THT. Pada penelitian ini menggunakan dua metode, yaitu metode ketidakpastian menggunakan Dempster Shafer dan metode penelusuran yaitu Forward Chaining. Langkah pengembangan diawali dari pengumpulan data, lalu pembuatan Rule Based, mengimplementasikan metode, dan melakukan pengujian akurasi pakar. Hasil penelitan ini adalah sistem pakar mendiagnosa penyakit THT sebanyak 7 jenis penyakit dengan gejala sebanyak 24 jenis. Penelitian ini juga menggunakan metode Dempster Shafer untuk mendapatkan nilai kepastian berupa persentase nilai kepastian pada hasil diagnosa penyakitnya. Berdasarkan hasil pengujian pakar, dapat disimpulkan bahwa sistem pakar memiliki tingkat kesamaan dengan pakar sebesar 85% yang berarti bahwa sistem pakar ini layak untuk digunakan.AbstractVarious diseases in humans can cause serious problems if not quickly handled, such as ENT diseases (ear, nose, and throat). People with ENT disease in Indonesia is quite high, because people often consider the condition of ENT disease and lack of information about the disease. There is a system that provides information about the symptoms in ENT diseases and what types of diseases suffered, as well as what is the right solution to handle ENT diseases. The subject in this study is an expert system for diagnosing ENT diseases. The study used two methods, namely the uncertainty method using Putty Shafer and the search method that is Forward Chaining. The development step starts from collecting data, then creating a Rule Based, implementing methods, and conducting expert accuracy testing. The results of this research is a system of experts diagnose ENT diseases as many as 7 types of diseases with the symptoms as much as 24 types. This research also uses the method of putty Shafer to get certainty of the percentage value of certainty in the diagnosis of diseases. Based on expert testing results, it can be concluded that an expert system has a level of similarity with experts at 85% which means that the expert system is worthy of use.

scholarly journals Sistem Pakar Hukum Tajwid Pada Kitab Suci Al-Qur’An dengan Metode Forward Chaining

2021 ◽  
Vol 1 (2) ◽  
pp. 33-38
Author(s):  
Marwan Hakim Marwan Hakim ◽  
Rusdan
Keyword(s):  
Expert System ◽  
Men And Women ◽  
Face To Face ◽  
Forward Chaining ◽  
The Law ◽  
Holy Book ◽  
The Way

Al-Qur'an is the holy book of Muslims that was revealed to the Prophet Muhammad and is one of his greatest miracles. Reading the Qur'an in Tartile is the way of reading that the Prophet taught to his companions as he was taught by Jibril. In order to read the Qur'an properly, one needs to learn the science of recitation. The scholars stated that the law of studying tajwid is fardhu kifayah but practicing tajwid when reading the Al-Qur'an is fardhu ain or obligatory for men and women who are mukallaf. This expert system was built and designed to make it easier to learn tajwid so that it is not boring, so that it can be learned without having to meet face to face with the Koran teacher and can be learned anywhere and anytime.

scholarly journals Expert System Diagnosis of Television Damage with Depth First Search Method Using Vb.Net Programming Language

Tech-E ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 50
Author(s):  
Dicky Surya Dwi Putra
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Base ◽  
Programming Language ◽  
System Analysis ◽  
Search Method ◽  
Depth First Search ◽  
Analysis Process ◽  
System Diagnosis

The expert system is part of an artificial intelligence consisting of the knowledge and experience of an expert who is included in the knowledge base. The expert system can help someone who is still lay in solving the problem. Television is a medium of communication that receives broadcasts of moving pictures and sounds. One example of an expert system created is an expert system to diagnose television damage using the Depth First Search method using the VB.NET programming language. With the application of expert systems in diagnosing television damage, expected in the analysis process becomes faster. Expert system analysis on the damage of television can be known directly to assist in knowing what damage experienced by television and what steps to improve television. In this case, the author has consulted with an expert in the field of television damage to build a knowledge base 

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

SISTEM PAKAR DIAGNOSIS PENYAKIT MENULAR DENGAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR

2018 ◽  
Vol 4 (2) ◽  
pp. 171
Author(s):  
Widyalelisa Army
Keyword(s):  
Expert System ◽  
Infectious Diseases ◽  
Health Workers ◽  
Working Hours ◽  
First Aid ◽  
Certainty Factor ◽  
On Certainty ◽  
Forward Chaining ◽  
Available Information ◽  
Harmful Effects

<p><strong><em>Abstract </em></strong><strong><em></em></strong></p><p><em>Infectious diseases have harmful effects if left unchecked. The limited number and working hours of health workers and the queue of patients makes handling and provision of first aid for patients to be not optimal. Then an expert system was developed which can help in diagnosing and allowing patients based on the facts experienced by the patient and cannot be directly with the doctor. In this study the method of forward chaining method to compile rules and based on certainty factor (CF) method is used to calculate the value of certainty so that the results are decided more clearly. The development phase of this method begins by gathering knowledge from experts or experts from various organizations and facts that build the knowledge base and provide CF values for each type of disease. Available information and problems based on the symptoms experienced by the patient. From the results of system testing, trials were conducted on 20 users, which resulted from the trial and compared with expert claims. This is 85% accurate with error 15%, showing the results of this infectious expert system can help doctors diagnose infectious diseases. based on the events experienced by patients and can provide first aid or early diagnosis by providing solutions to users.</em></p><p><strong><em>Keywords:</em></strong><em> Expert System, Health, Forward Chaining, Certainty Facto</em><em>r.</em></p><p><strong> </strong></p><p><strong> </strong></p><p><strong><em>Abstract </em></strong><strong><em></em></strong></p><p>Penyakit menular mempunyai efek yang berbahaya jika dibiarkan. Terbatasnya jumlah dan jam kerja tenaga kesehatan dan banyaknya antrian pasien membuat penanganan dan pemberian pertolongan pertama kepada pasien menjadi tidak optimal. Maka dibuat sistem pakar yang dapat membantu dalam mendiagnosis dan memberikan solusi kepada pasien berdasarkan gejala penyakit menular yang dialami pasien sehingga pasien tidak harus berkonsultasi langsung dengan dokter. Pada penelitian ini digunakan metode forward chaining untuk penyusunan rule dan ditambahkan metode certainty factor (CF) yang digunakan untuk menghitung nilai kepastian agar hasil yang diputuskan lebih jelas. Tahapan pembangunan metode ini dimulai dengan mengumpulkan pengetahuan dari tenaga ahli atau pakar berupa nama penyakit dan gejala penyakit kemudian membangun basis pengetahuan dan memberikan nilai CF pada setiap jenis penyakit. Sehingga didapatkan informasi dan solusi berdasarkan gejala-gejala yang dialami pasien. Dari hasil pengujian sistem yang dilakukan ujicoba kepada 20 orang user dengan tingkat error sebesar 15%, dimana hasil dari ujicoba tersebut dan dibandingkan dengan pendapat dokter diperoleh nilai akurasi dari sistem ini adalah 85% akurat, menunjukan bahwa hasil sistem pakar penyakit menular ini sudah dapat membantu dokter dalam mendiagnosis jenis penyakit menular berdasarkan gelaja-gejala yang dialami pasien dan dapat memberikan pertolongan pertama atau diagnosis dini dengan memberikan solusi kepada user.</p><strong>Kata Kunci :</strong> Sistem Pakar, Kesehatan, Forward Chaining, Certainty Factor

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).

scholarly journals Expert System To Identify Insomnia Problems In Adults Using Forward Chaining Method

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Ayu Dwi Ratna Ningsih ◽  
Ade Eviyanti
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Data Collection ◽  
Quantitative Data ◽  
Research Method ◽  
Forward Chaining ◽  
System A ◽  
The World ◽  
Waking Up ◽  
Data Collection Technique

Insomnia is a symptom that is often experienced by adults of productive age, such as having difficulty starting to sleep, often waking up at night. With the development of technology, most of the jobs have involved technology. Expert systems are artificial intelligence that is growing rapidly in the world of technology. With an expert system, a person can be helped according to their needs when it is difficult to meet directly with the expert. The purpose of this study was to make it easier for researchers to identify insomnia problems based on the symptoms experienced by the adults around them. The research method used is the forward chaining method. while the data collection technique is quantitative data technique. The desired result of this study is the reduction of a person affected by insomnia problems and the Expert System can provide solutions to reduce Insomnia Problems such as relaxation music before consulting a doctor.

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