Analysis of Expert System for Early Diagnosis of Disorders During Pregnancy Using the Forward Chaining Method

Nowadays technological developments are increasingly having a positive influence on the development of human life, including in the health sector. One of them is an expert system that can transfer an expert's knowledge into a computer application to simplify and speed up the diagnosis of a disorder or disease in humans. The purpose of this final project is to design an application to diagnose diseases that occur during pregnancy which is caused by the existence of these pregnancies to simplify and speed up the diagnosis of diseases experienced by pregnant women. This study uses the forward chaining method. By involving experts in this expert system analysis according to current needs. Users are given easy access to information on several types of pregnancy disorders and their symptoms, as well as consultation through several questions that the user must answer to find out the results of the diagnosis. While experts are facilitated in system management, both the process of adding, updating and, deleting data.

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Sistem Pakar dalam Mendiagnosis Penyakit Mata dengan Menggunakan Metode Forward Chaining

Jurnal Informasi & Teknologi ◽

10.37034/jidt.v3i3.122 ◽

2021 ◽

pp. 128-133

Author(s):

Budi Permana Putra ◽

Yuhandri Yunus ◽

Sumijan

Keyword(s):

Expert System ◽

Human Life ◽

The Body ◽

Eye Disease ◽

Early Prevention ◽

The Public ◽

Forward Chaining ◽

Eye Health ◽

Eye Problems ◽

Visual Disturbances

The eye is one of the organs in the body that has an important role in human life, because the eye is one of the organs that has a function as vision in carrying out every activity. Eye health really needs to be maintained by diligently consulting or having your eyes checked by a doctor so that vision remains clear and there are no eye problems when looking at objects around us. However, eye health is often neglected, so that many various diseases can attack the eye. If not handled properly, diseases that attack the eye can cause visual disturbances and lead to blindness. Therefore, the eye must be kept healthy and kept clean because it is a very important organ of the human body. The purpose of building this expert system is to assist the public in diagnosing eye diseases from the symptoms that are being felt. This expert system will be a way out of eye problems that are suffered by the community, In this way people no longer have trouble going to the doctor. All data and facts to be processed are obtained from an expert, the method used in diagnosing this eye disease is the forward chaining method to apply the rules of the 28 symptoms and 8 diseases described by the expert. The results of the diagnosis using the Forward Chaining method is a very good level of accuracy in determining the type of eye disease that is suffered by the community and can provide early prevention for users who use this expert system.

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Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining

SinkrOn ◽

10.33395/sinkron.v3i2.10055 ◽

2019 ◽

Vol 3 (2) ◽

pp. 61

Author(s):

Rusdiansyah Rusdiansyah ◽

Santoso Setiawan ◽

Mohammad Badrul

Keyword(s):

Diabetes Mellitus ◽

Information Technology ◽

Expert System ◽

Health Sector ◽

Final Conclusion ◽

Web Based ◽

Forward Chaining ◽

Diabetes Mellitus Diagnosis ◽

Artificial Intelligence Technology

Diabetes Mellitus Diagnosis Expert System with Web-Based Forward Chaining Method. An expert system is one branch of artificial intelligence technology that combines the knowledge of an expert with tracing data to solve problems that are normally carried out by an expert. The development of information technology now makes it possible to access information from anywhere and anytime. So the role of information technology is increasingly useful to be able to develop in various fields including in the health sector. One of them is the system used to diagnose diabetes mellitus. Diabetes Mellitus is one of the most common diseases in the world. The inability of the pancreas to produce insulin normally becomes one of the reasons a person has this disease. In this research, the method used is Forward Chaining which sorts all data obtained before getting the final conclusion. The final results obtained from this study is an expert system application for diagnosing diabetes with a forward chaining method, where the user answers questions based on perceived symptoms, then the results obtained in the form of disease and explanation of the disease.

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Sistem Diagnosis Penyakit Hipokalemia menggunakan Gabungan Metode Forward Chaining dan Certainty Factor

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) ◽

10.35870/jtik.v5i2.180 ◽

2020 ◽

Vol 5 (2) ◽

pp. 213

Author(s):

Angga Pratama Surya ◽

Fauziah Fauziah ◽

Nurhayati Nurhayati

Keyword(s):

Expert System ◽

Initial Diagnosis ◽

Certainty Factor ◽

Forward Chaining ◽

Speed Up ◽

Early Diagnose

Hypokalemia can be a serious problem in humans which results in paralysis and causes death. This is caused by sufferers who are late in analyzing the symptoms and diseases. To facilitate. To speed up the process of diagnosis of these symptoms, an expert system can be done. This study aims for an initial diagnosis based on the symptoms experienced. This expert system can be used as a tool in making decisions. This study uses the method Forward Chaining and Certainty Factor (CF) to overcome the uncertainty of hypokalemia. The results of this expert system can help early diagnose hypokalemia, so that the disease can be treated as early as possible so as not to cause the disease to get worse in the future.Keywords:Forward Chaining, Diagnosis, Hypokalemia, Certainty Factor, Expert System.

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IDENTIFICATION OF DAMAGE GEAR LANDING SYSTEM OF CESSNA AIRCRAFT

Vortex ◽

10.28989/vortex.v2i1.933 ◽

2021 ◽

Vol 2 (1) ◽

pp. 39

Author(s):

Annga Ardi Anggoro

Keyword(s):

Expert System ◽

Damage Identification ◽

Unified Modeling Language ◽

Language Modeling ◽

Landing Gear ◽

Identification System ◽

Unified Modeling ◽

Forward Chaining ◽

Final Project ◽

Modeling Paradigm

Designing a system to identify damage based on damage symptom data, so as to get repair handling in accordance with the procedure using a forward chaining expert system, where the expert system is one of the computer systems that aims to solve problems by imitating the human mindset as an expert applied to one of them. Aircraft components that are frequently maintained and damaged are found, namely the landing gear of the Cessna Grand Caravan C208-B aircraft. In the process of making the damage identification system in this final project, the UML (Unified Modeling Language) modeling paradigm and the PHP programming language are used. From the research results, the landing gear damage identification system of the Cessna Grand Caravan C208-B aircraft using a forward chaining expert system can facilitate the search for damage and handling for users or technicians in dealing with a symptom that occurs in the landing gear of the Cessna Grand Caravan C208-B aircraft

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DESIGN AND BUILT AN EXPERT SYSTEM APPLICATION FIR DIAGNOSING HUMAN EYE DISEASES BY USING FORWARD CAHINING METODH WEB-BASED

KOMTEKINFO ◽

10.35134/komtekinfo.v8i1.1397 ◽

2021 ◽

Vol 8 (1) ◽

pp. 73-77

Author(s):

Harkamsyah Andrianof

Keyword(s):

Expert System ◽

System Application ◽

Human Life ◽

Eye Diseases ◽

Human Vision ◽

Web Based ◽

Human Eye ◽

Forward Chaining ◽

Disease Information ◽

Five Senses

The eye is one of the five senses that has a very important role in human life, namely as the organ of vision. If there is interference with the eye or there is a disease, it is very influential on human vision. Its mean that we can conclude that eye is very important in our lie and must be keep for our body. The purpose of this research to planning and develop the diagnose of expert system about diagnosing of diseases in the eye which include disease information about symptoms or the solution and have role to replace and imitate the process of the reason from an expert in solve the specification problem. the method used for reasoning is forward chaining method. The result of this research is expert system of diagnosing eyes diseases in humans which computerized who can be used for giving information and have benefit in diagnosing disease.

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Perpaduan Metode Certainty Factor dan Forward Chaining untuk Menentukan Tingkat Stres Mahasiswa Tingkat Akhir Berbasis Android

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) ◽

10.35870/jtik.v5i3.218 ◽

2021 ◽

Vol 5 (3) ◽

pp. 267

Author(s):

Nurholis Nurholis ◽

Fauziah Fauziah ◽

Novi Dian Natashia

Keyword(s):

Expert System ◽

System Application ◽

Confidence Level ◽

Bachelor's Degree ◽

Certainty Factor ◽

Forward Chaining ◽

Final Project ◽

Level Of Confidence ◽

Stress Levels ◽

Predetermined Time

Students who are taking the final semester are students who are completing all their subjects, can take the final project provided they have met the number of credits set to obtain a bachelor's degree. In the process of making a final project, students are required to complete it within a predetermined time, this demand causes students to be depressed, causing stress that affects them in completing their final project and study period. Based on this problem, an Expert System Application was made to Diagnose Stress Levels in Final Year Students by Combining Certainty Factor Methods and Android-Based Forward Chaining Techniques to find out more clearly the level of stress experienced by final year students. The results of the diagnosis on the expert system application and the results of manual calculations on one of the data which is representative of the 200 student data, which produce the same level of confidence, each of which produces a confidence level of 97.97% and was diagnosed with mild stress.Keywords:Android, Certainty Factor, Forward Chaining, Final Year Students, Expert System, Stress.

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Diagnosa Penyakit Tanaman Cabai menggunakan Metode Forward Chaining dan Naïve Bayes

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) ◽

10.35870/jtik.v5i2.208 ◽

2021 ◽

Vol 5 (2) ◽

pp. 164

Author(s):

Riyo Efendi ◽

Fauziah Fauziah ◽

Aris Gunaryati

Keyword(s):

Expert System ◽

Naive Bayes ◽

Naïve Bayes ◽

Plant Diseases ◽

Web Based ◽

Bayes Methods ◽

Forward Chaining ◽

Speed Up ◽

Handling Methods ◽

The Web

The purpose of this research is to design a web-based expert system application to provide information about chili plant diseases and to diagnose the symptoms of diseases that attack chili plants and to provide solutions for appropriate handling methods, which can be accessed anywhere and utilized by the wider community and can speed up the time to deal with diseases that attack chili plants. This study uses the Forward Chaining and Naïve Bayes Methods in order to know the facts/signs of chili disease so that you can get the best quality chili. Based on the results of the discussion and calculation of the web-based expert system for diagnosing chili disease using the Forward Chaining and Naïve Bayes methods, it can be concluded that a simple application it can make it easier for users to diagnose chili disease and find out the causes and solutions. And can find out the total number of all comparisons of the 2 methods.Keywords:Chili disease, Expert System, Forward Chaining, Naïve Bayes.

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SISTEM PAKAR PENDIAGNOSA PENYAKIT BERBASIS MOBILE

CCIT Journal ◽

10.33050/ccit.v11i1.560 ◽

2018 ◽

Vol 11 (1) ◽

pp. 69-81

Author(s):

Maimunah Maimunah ◽

Gagas Pandu Wibowo

Keyword(s):

Expert System ◽

Data Collection ◽

Mobile Devices ◽

Mobile Technology ◽

First Aid ◽

Easy Access ◽

Literature Study ◽

Forward Chaining ◽

Initial Stage ◽

The Impact

Some of the minor illnesses that often occur in the community are often ignored, if the disease is not treated immediately then the impact will be more severe and serious handling, therefore needed a system that can produce information about the possibility of disease in a person's body, so that can be handled more quickly to avoid dangerous diseases. In this study implemented the expert system to diagnose diseases based on mobile devices as the initial stage for first aid before consultation with the doctor. Therefore, it is necessary to design an expert system of mobile disease-based diagnostics, this system uses mobile technology for easy access and can be done anytime and anywhere, in addition to this system using a simple display that can facilitate the use. In this research, the researcher uses forward chaining method supported from data collection through observation and literature study. By simply selecting the age of the user and selecting the perceived symptoms, the user can immediately know the illness he or she is likely to suffer so that the handling of the disease can be done immediately.

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Perancangan Sistem Pakar Gejala Penyakit Saluran Pencernaan Dengan Pengobatan Tanaman Herbal Berbasis Web

Indonesian Journal on Software Engineering (IJSE) ◽

10.31294/ijse.v4i2.5974 ◽

2019 ◽

Vol 4 (2) ◽

pp. 14-18

Author(s):

Angga Ardiansyah ◽

Dany Pratmanto ◽

Aep Saprul Mujahid

Keyword(s):

Medical Education ◽

Expert System ◽

Software Package ◽

Psychotic Disorders ◽

Human Life ◽

Forward Chaining ◽

Digestive Diseases ◽

Herbal Plants ◽

Biomedical Field

Abstract - Expert system is a software package or computer program package that is intended as a provider of advice and help tools in solving problems in certain areas of specialization such as medical, education, and so on. The development of the development of expert systems in the biomedical field is one thing that is expected to improve the quality of human life. One of them is by applying an expert system by using the Forward Chaining method to diagnose psychotic disorders due to substances. This study aims to increase knowledge about how to make an inference engine to control the process of identifying solutions using the Forward Chaining method, as well as designing expert system applications using the Forward Chaining method to diagnose substance-induced psychotic disorders. Keywords: Expert System Programs, Digestive Diseases, Herbal Plants

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