scholarly journals Sistem Pakar Deteksi Penyakit pada Anak Menggunakan Metode Forward Chaining

2020 ◽  
pp. 130-135
Author(s):  
Meilinda Sari ◽  
Sarjon Defit ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Expert System ◽  
Decision Rules ◽  
Working Hours ◽  
Childhood Diseases ◽  
Forward Chaining ◽  
Number Of Patients ◽  
Children's Diseases ◽  
System Calculation ◽  
The Many ◽  
Decision Tables

Health is the most valuable thing for humans, because anyone is vulnerable to health problems. Especially in children, children are very susceptible to germs and sensitivity to symptoms of a disease is a fear for parents themselves. However, with the convenience of having an expert doctor, sometimes there are also weaknesses such as limited working hours or doctor's practice hours and the number of patients who have to wait for queues and also the many parents who do not know about the symptoms and types of children's diseases, a system is built to facilitate the medical team and system users. The purpose of this study was to detect children's diseases using the Forward Chaining method precisely and accurately. The data that were processed were 25 symptoms and 5 types of childhood diseases which were sourced from patient medical records and interviews with experts at the Ibnu Sina Simpang Empat Islamic Hospital. The symptoms and types of disease are entered into the Expert System using the rules of rules and the Forward Chaining method. To diagnose a child's disease, a Forward Chaining method is needed with the following stages: Preparing input data, determining decision tables, determining rules, tracking processes, making decision trees. The results of the study with 25 symptom data obtained as many as 5 decision rules, namely which type of childhood disease the patient has and the initial treatment that must be done. Based on the analysis carried out, it can be seen the types of diseases suffered by children so that it can be used as a reference for making decisions to diagnose diseases in children. This expert system calculation shows the percentage of success from the expert.

scholarly journals Sistem Pakar Deteksi Penyakit pada Anak Menggunakan Metode Forward Chaining

2020 ◽  
Author(s):  
Meilinda Sari ◽  
Sarjon Defit ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Expert System ◽  
Decision Rules ◽  
Working Hours ◽  
Childhood Diseases ◽  
Forward Chaining ◽  
Number Of Patients ◽  
Children's Diseases ◽  
System Calculation ◽  
The Many ◽  
Decision Tables

Health is the most valuable thing for humans, because anyone is vulnerable to health problems. Especially in children, children are very susceptible to germs and sensitivity to symptoms of a disease is a fear for parents themselves. However, with the convenience of having an expert doctor, sometimes there are also weaknesses such as limited working hours or doctor's practice hours and the number of patients who have to wait for queues and also the many parents who do not know about the symptoms and types of children's diseases, a system is built to facilitate the medical team and system users. The purpose of this study was to detect children's diseases using the Forward Chaining method precisely and accurately. The data that were processed were 25 symptoms and 5 types of childhood diseases which were sourced from patient medical records and interviews with experts at the Ibnu Sina Simpang Empat Islamic Hospital. The symptoms and types of disease are entered into the Expert System using the rules of rules and the Forward Chaining method. To diagnose a child's disease, a Forward Chaining method is needed with the following stages: Preparing input data, determining decision tables, determining rules, tracking processes, making decision trees. The results of the study with 25 symptom data obtained as many as 5 decision rules, namely which type of childhood disease the patient has and the initial treatment that must be done. Based on the analysis carried out, it can be seen the types of diseases suffered by children so that it can be used as a reference for making decisions to diagnose diseases in children. This expert system calculation shows the percentage of success from the expert.

scholarly journals Expert System in Accuracy of Detection of Bleeding in Pregnancy Using Forward Chaining Method

2020 ◽  
Author(s):  
Rivo Stephano ◽  
Yuhandri Yunus
Keyword(s):  
Expert System ◽  
Emergency Room ◽  
Pregnant Women ◽  
Decision Trees ◽  
Medical Records ◽  
Input Data ◽  
Limited Knowledge ◽  
Forward Chaining ◽  
Decision Tables ◽  
In Pregnancy

The occurrence of bleeding in pregnancy is one of the most complications experienced by pregnant women. The limited knowledge possessed by pregnant women about the risks and dangers of bleeding during pregnancy and wrong or late handling when bleeding occurs is one of the factors that cause bad conditions that occur, namely fetuses and pregnant women can die due to bleeding experienced. This study aims to determine the level of accuracy in diagnosing bleeding that occurs in pregnancy by using the Forward Chaining method precisely and accurately. The data processed in this study were as many as 20 data which came from patient medical records and interviews with experts at RSKIA Sukma Bunda Payakumbuh. The processing stages consist of preparing input data, determining decision tables, creating rules, tracking processes, making decision trees, and tracking results. The results of testing this method are that there are 90% of patients who experience bleeding in pregnancy are based on the results of the consultation entered by the user. The results of this test have been able to diagnose bleeding in pregnancy quickly and accurately using the Forward Chaining method and can be recommended to help the doctor in the emergency room to diagnosing bleeding in pregnancy.

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 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.

Expert System of Quail Disease Diagnosis using Forward Chaining Method

2017 ◽  
Vol 5 (1) ◽  
pp. 206 ◽  
Author(s):  
B. Herawan Hayadi ◽  
Kasman Rukun ◽  
Rizky Ema Wulansari ◽  
Tutut Herawan ◽  
Dahliyusmanto Dahliyusmanto ◽  
...  
Keyword(s):  
Expert System ◽  
Disease Diagnosis ◽  
Coverage Area ◽  
Great Demand ◽  
Forward Chaining ◽  
The Many

<p class="Normal1">Expert system applications were in great demand in various circles since 1950, with a coverage area that was large. Expert System on the organization was aimed at adding value, increasing productivity as well as the area of managerial can make decisions quickly and accurately. Neither with organizations that did business quail, which was very promising, but needed to be alert for the presence of disease in quail healthy, as in the case in birds quail were highly vulnerable to various kinds of diseases caused by viruses or bacteria. the benefits of the expert system that was able to diagnose quickly and accurately to the symptoms of the disease caused was expected to helped the farmers in of anticipation the many losses caused by disease. Required accuracy and the accuracy of the counting in diagnosing the symptoms of the disease in order to summarized the results by using forward chaining method.</p>

Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

2019 ◽  
Vol 1 ◽  
pp. 444
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Plant Diseases ◽  
Accurate Information ◽  
Forward Chaining ◽  
Web Programming ◽  
Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

SISTEM PAKAR MENU MAKANAN SEHAT BAGI PENDERITA KOLESTEROL DENGAN METODE FORWARD CHAINING

2017 ◽  
Vol 3 (2) ◽  
pp. 72
Author(s):  
Gusnita Darmawati
Keyword(s):  
Expert System ◽  
Cholesterol Level ◽  
Blood Group ◽  
Healthy Food ◽  
Healthy Diet ◽  
Blood Type ◽  
Forward Chaining ◽  
Cholesterol Levels ◽  
Microsoft Office ◽  
Visual Basic 6.0

<p>Penelitian ini membangun suatu sistem pakar untuk menentukan menu makanan sehat berdasarkan golongan darah dan tingkat kadar kolesterol pasien dengan metode Forward Chaining. Tujuan untuk membantu orang awam dalam menentukan menu makanan sehat untuk pasien kolesterol. Sistem ini menganalisa masalah penentuan menu makanan sehat berdasarkan golongan darah dan tingkat kadar kolesterol pasien. Hasil yang diperoleh dari sitem pakar ini adalah berupa informasi makanan sehat yang akan dikonsumsi oleh pasien kolesterol dengan jenis golongan darah dan tingkat kadar kolesterol yang berbeda. Analisa dilakukan dengan cara mengetahui jenis golongan darah dan tingkat kadar kolesterol pasien yang ditampilkan oleh program sistem pakar ini, rancangan sistem ini menggunakan inference forward chaining, dengan implementasi sistem menggunakan sistem database Microsoft Office Access dan bahasa pemrograman Visual Basic 6.0. Dari rancangan aplikasi sistem pakar yang dibuat, maka orang awam yang memderita kolesterol dapat menentukan menu makanan sehat untuk di konsumsi berdasarkan golongan darah dan tingkat kadar kolesterol dengan menjalankan aplikasi sistem pakar.</p><p><em><br /></em></p><p><em><em>This study builds an expert system to determine the healthy food menu based on blood type and cholesterol levels of patients with Forward Chaining method. The goal is to help the layman in determining a healthy diet for cholesterol patients. This system analyzes the problem of determining healthy food menu based on blood group and patient cholesterol level. The results obtained from this expert system is in the form of healthy food information that will be consumed by cholesterol patients with the type of blood group and different cholesterol levels. From the design of expert system applications created, the layman who memderita cholesterol can determine the healthy diet to be consumed by blood type and cholesterol level by running an expert system application.<br /> <br /> </em></em></p>

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>

Henry Drysdale Dakin 1880-1952

1952 ◽  
Vol 8 (21) ◽  
pp. 128-148 ◽  
Keyword(s):  
Working Hours ◽  
Good Deal ◽  
Later Life ◽  
School Life ◽  
Iron And Steel ◽  
The North ◽  
Modern School ◽  
Sugar Refinery ◽  
The Many ◽  
The University

Henry Drysdale Dakin was born at 60 Fitzjohn’s Avenue, Hampstead, London, on 12 March 1880. He was the youngest of a family of eight, there being five brothers and three sisters of whom one brother and two sisters now survive. His father, Thomas Burns Dakin, had previously owned a sugar refinery in London, and when this came to an end he acquired an iron and steel business in Leeds, and the whole family removed to Yorkshire. After a brief spell at Merchant Taylors’ School, H. D. Dakin entered Leeds Modern School in 1893 and remained there for the rest of his school life. Five of the old boys of this school became University professors, and of these may be mentioned H. H. Turner, Savilian Professor of Astronomy at Oxford, and H. M. Dawson, who was the first Professor of Physical Chemistry at Leeds, both of whom were elected to the Fellowship of this Society, and the latter, who was a few years senior to Dakin at school, became his personal friend at the University. Some years ago this school, which was formerly in the centre of Leeds, moved to the north of the city and was organized as four Houses, one of which is known as ‘Dakin House’; and thus Dakin’s memory is kept green in the school, and his story and prestige have become a part of the school’s history. Assistant to analyst After leaving school Dakin was apprenticed to the Leeds City Analyst, Mr T. Fairley. He remained in Fairley’s laboratory for four years and in later life he ascribed a great importance to the experience which he gained there. An analyst in this position held many public appointments which brought a great variety of work to the laboratory. Among other offices Fairley held that of official gas referee, and this involved a good deal of analytical work—such as tests for sulphur content—involving attendance at gas works, and this work usually fell to the lot of the senior apprentice of the time. Accordingly, much of Dakin’s early life was spent in the precincts of gas works. In spite of long working hours, however, he found time to become an angler. One of his holidays in later years was spent fishing in Ireland with his friend, Harold Dudley. Dakin was inclined to trace a connexion between this period in Fairley’s laboratory and his later interest in biochemistry, because of the experience he gained from the many analyses of water, foods and fertilizers which came his way, as well as from the examinations made for a number of poisons. He admitted, indeed, that he had revelled in books on medical jurisprudence; but he claimed that all this had helped him to realize that chemistry had a biological side.

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