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 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 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.

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.

scholarly journals Implementation constraints and opportunities in developing expert system solutions for diagnosis of common diseases found in Taraba State

2018 ◽  
Vol 4 (3) ◽  
pp. 18
Author(s):  
Aliyu Sani Ahmad
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Clinical Observation ◽  
Fuzzy Expert System ◽  
Medical Field ◽  
Common Diseases ◽  
Information And Communication

Digital age has reform decision making especially in medical field through information and communication technology which become inevitable part of our lives. this paper illustrates the implementation constraint that encompasses developing Fuzzy Expert System (FES) for diagnosis of common diseases usually found in Taraba State. The paper, shows how fuzzy expert works through four distinct phases. It is discovered that the ratio of doctors to patients and the ratio of hospitals to doctors in Taraba is too low. Different literature that discussed how expert systems for diagnosing various diseases were reviewed; Interview, clinical observation, asking question and internet services were used as methodology for accomplishing this paper.  Result were illustrated and finally conclusion was drowned which shows that e-medical solution for diagnosing disease would do well in Taraba because of the opportunities it offers but it loaded with challenges and implementation constraint.

Parallel Processing Applications in Expert Systems in Power Systems

1995 ◽  
Vol 32 (2) ◽  
pp. 154-162
Author(s):  
J. P. Wang ◽  
J. Trecat
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Parallel Processing ◽  
Power Systems ◽  
Expert Systems ◽  
Inference Method ◽  
Problem Size ◽  
Rule Based ◽  
Model Based

Parallel processing applications in expert systems in power sytems Parallel processing is widely used to reduce computation times. In its application to non-numerical problems, such as expert systems, inference method and problem size must be considered. A fault diagnosis expert system is considered as an example, with either a model-based or a rule-based inference, applied to power systems of various sizes.

scholarly journals Sistem Pakar Menentukan Maksimal Kalori Harian Berbasis Mobile

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Teddy Santya ◽  
Cosmas Eko Suharyanto ◽  
Pastima Simanjuntak ◽  
Alex Alfandianto
Keyword(s):  
Expert System ◽  
Everyday Life ◽  
Dietary Habit ◽  
Test Results ◽  
Inference Method ◽  
Web Based ◽  
Forward Chaining ◽  
Server Side ◽  
Registered User ◽  
Flow Of Time

The study was conducted because of many concerning event happened in purpose of losing weight in improper methods. By the flow of time with technologies developed in this century, Smartphone became one of necessity because of the feature by many applications which helps a lot in our everyday life of humanity. The Researcher conducted this research of mobile-based application expert system which helps people properly losing their weight, this expert system is a supporting utility for taking care of dietary habit based on the amount of calorie limit calculated by this system, and recommends suitable and healthy food for users. This system is built with React Native framework. The calculation in this system is based on information of weight, height, and age provided by users, and all prediction will not be done without the provided information and every calculation is handled by web-based server-side processing which is developed using Laravel Framework. Inference method used by the researcher is Forward Chaining. This expert system will validate user's requirement to start working on losing weight by using Forward Chaining Inference method. Every successfully registered user will be able to view their calculated information by this system which is maximum calorie value, and list of healthy and recommended foods information provided by the expert herself. From the test results, the Expert System can solve the problem of giving a way to run a proper diet program by adjusting the diet with the calories needed.

scholarly journals PENGGUNAAN METODE FORWARD CHAINING DALAM MENDIAGNOSA PENYAKIT PADA KALKUN

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Corie Mei Hellyana ◽  
Ina Maryani ◽  
Eva Argarini Pratama
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Input Data ◽  
High Protein ◽  
Low Fat ◽  
Income Levels ◽  
Forward Chaining ◽  
Prevention And Treatment ◽  
Advanced Development ◽  
It Expert

Abstrak - Kalkun merupakan sejenis unggas yang memiliki ukuran lebih besar yang berasal dari ordo Galliformes, genus Meleagris bukanlah hewan asli Indonesia. Dikarenakan kalkun mempunyai nilai jual tinggi terutama dagingnya yang berprotein tinggi dan rendah lemak serta kolesterol, maka kalkun mulai dibudidayakan di Indonesia. Banyak peternak kalkun menganggap bahwa penyakit yang menyerang kalkun sama dengan hewan unggas yang lain, hal ini yang menyebabkan tingkat pendapatan peternak menjadi berkurang/merosot. Dengan semakin majunya perkembangan teknologi, banyak aplikasi yang sudah diterapkan untuk dapat menyelesaikan suatu masalah salah satunya dengan menggunakaan. Sistem pakar dibuat untuk dapat menyelesaikan masalah tanpa harus mendatangkan ahli/pakarnya. Dalam penelitian ini, digunakan metode forward chaining (runtut maju) dimana proses dimulai dari pencarian premis atau data masukan yang berupa gejala sehingga didapat kesimpulan penyakit pada kalkun serta memberikan solusi mengenai pencegahan dan pengobatan berdasarkan gejala-gejala yang telah teramati. Jenis penyakit yang akan didiagnosis sebanyak 10 penyakit dengan jumlah gejala penyakit sebanyak 14 gejala.Kata kunci : penyakit kalkun, sistem pakar, forward chainingAbstract -Turkey is a type of bird that has a larger size that comes from the order Galliformes, the genus Meleagris is not native to Indonesia. Because turkey has a high selling value, especially high-protein and low-fat meat and cholesterol, turkeys are cultivated in Indonesia. Many turkey breeders consider that diseases that attack turkeys are the same as other poultry animals, which causes the farmer's income levels to decrease/decline. With the increasingly advanced development of technology, many applications have been implemented to solve a problem, one of them is by using it. Expert systems are made to solve problems without having to bring in experts/experts. In this study, a forward chaining method was used in which the process starts from the search for premise or input data in the form of symptoms so that conclusions can be reached on turkeys and provide solutions for prevention and treatment based on observed symptoms. The types of diseases that will be diagnosed are 10 diseases with 14 symptoms of the disease.Keywords: turkey, expert system, forward chaining

scholarly journals Sistem Pakar Diagnosa Penyakit Tanaman Rambutan dengan Metode Forward Chaining dan Certainty Factor Berbasis Android

2020 ◽  
Vol 5 (3) ◽  
pp. 329
Author(s):  
Bayu Abrianto Risnadi ◽  
Fauziah Fauziah ◽  
Ratih Titi Komala Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Confidence Level ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Calculation Results ◽  
Manual Calculation

The purpose of this research is to create an expert system application to diagnose diseases in the rambutan plant that can be accessed anytime and anywhere so that the handling of the disease can be done appropriately. The Forward Chaining and Definity Factor methods are used because they are very suitable for expert systems that diagnose something that is uncertain so that the manual calculation results from the symptom data and the existing expert values result in a 98.91% confidence level percentage, and solutions are given to treat disease-stricken plants. The implementation uses Android Studio so that the application can run dynamically on various devices so that farmers can immediately find out what is happening with the conditions of their rambutan plants directly.Keywords:Rambutan Plant, Expert System, Android, Forward Chaining, Certainty Factor.

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.

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