scholarly journals Implementasi Sistem Pakar menggunakan Metode Certainty factor Untuk Mendiagnosa Penyakit Herpes Zoster

2020 ◽  
Vol 4 (2) ◽  
pp. 110
Author(s):  
Ikhsan Romli ◽  
E Romansyah ◽  
Andika Permana
Keyword(s):  
Herpes Zoster ◽  
Skin Disease ◽  
Skin Diseases ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Long Time ◽  
Expert Analysis

Herpes Zoster is a skin disease that is very difficult to treat and everyone can certainly experience it, the characteristics of this disease are characterized by unilateral vesicles in groups with pain characterized by radicular around the dermatome. This study aims to establish a Web-based Certainty factor method as a tool to diagnose skin diseases. With this application, it doesn’t need long time to find out what type of herpes zoster is suffering. To use this application  is that the patient answers the questions which are provided by the system, then the system will process all the patient answers using the certainty factor method, after that, the system will produce output as the results of the diagnosis of the type of shingles. The system built can help patients to know the type of disease that is being suffered by the patients and in accordance with expert analysis of skin diseases.Keywords:Certainty factor, Herpes zoster, web.

scholarly journals Computer Troubleshooting Expert System Damage Certainty Factor Method Using Web Based

2020 ◽  
Vol 2 (2) ◽  
pp. 171-176
Author(s):  
Fitri Mijaswari ◽  
Sulindawaty Sulindawaty
Keyword(s):  
Expert System ◽  
Computer Technology ◽  
Computer Use ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Long Time

The problems are most common in essence PT.Sinar Blessings Prosperity is still much work to be done manually, as is the case particularly in the logistics department of administration calculations using a single computer, use the computer that is still its own random origin are still common will of computer technology , where if there is damage to require a long time to fix his computer. Therefore, in this study using expert system troubleshooting computer malfunction with the methods certanty factor to help PT. Sinar Inti Sejahtera Blessing in detecting damage to the computer, so as to minimize the company's performance, minimize expenditures on computer repair, thus better able to improve the performance of employees in PT.Sinar Inti Sejahtera Blessing.

scholarly journals Sistem Pakar Menggunakan Metode Certainty Factor untuk Estetika Kulit Wanita dalam Menjaga Kesehatan

2020 ◽  
Author(s):  
Subrianto Chandra ◽  
Yuhandri Yunus ◽  
Sumijan Sumijan
Keyword(s):  
Human Body ◽  
Skin Diseases ◽  
Trial Data ◽  
Certainty Factor ◽  
Processing Stage ◽  
Factor Method ◽  
Self Confidence ◽  
Lack Of Information

The skin is an important organ located on the outside of the human body that needs to be kept healthy. Good skin health will certainly increase self-confidence, especially for women. Lack of information about diseases and treatment solutions and the small number of professional estheticians means that women end up not consulting when skin problems arise. If left untreated, skin problems will be more serious. The purpose of this study was to identify the accuracy of skin problems in women so that a solution in caring for the skin was obtained. The data processed in this study are the results of an interview from an aesthetic doctor about skin problems in women and the solutions and symptoms experienced by patients. Then the data obtained manually were processed using the Certainty Factor method and tested with a website-based system. The processing stage of this method is the compilation of symptoms into rules, giving weight values ​​for each symptom and calculating based on the Certainty Factor rule formula. The results of testing this method were 13 data on aesthetic skin diseases identified from 15 trial data. So that the level of accuracy is 86.67%. The results of this test have been able to identify well. The Certainty Factor method used can identify quite specifically and can be recommended to skin aesthetic doctors in increasing accuracy for identifying skin problems in women.

scholarly journals Expert System for Diagnosing Human Skin Diseases Using Web-Based Naïve Bayes Method

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Khoirunnisa devita Sari ◽  
Ade Eviyanti
Keyword(s):  
Expert System ◽  
Human Skin ◽  
Skin Disease ◽  
Skin Diseases ◽  
Naive Bayes ◽  
Expert Knowledge ◽  
Naïve Bayes ◽  
Bayes Method ◽  
Web Based ◽  
Naive Bayes Method

Skin disease is a disease that often found in tropical countries like Indonesia. According to the survey, skin disease is the third of the ten most outpatient diseases. Lack of public knowledge about skin diseases and how to prevent and treat them can cause a person to develop acute skin diseases. The purpose of this research is to create an expert system application for diagnosis of human skin diseases using the web-based naïve Bayes method. With expert system, it hoped that human skin diseases can be detected early and can minimize the occurrence of more dangerous diseases. The calculation in this expert system uses the naïve Bayes method. This expert system makes diagnosis by analyzing input of symptoms experienced by patient and then processing it using certain rules according the expert knowledge that has been stored in the knowledge base. The result of this research is to build an expert system for diagnosing human skin diseases using website-based naïve Bayes. The results of the system trial of 20 respondents were the website could provide diagnosis results based on the inputted rules and could diagnose skin diseases properly. This website can used as an alternative use of technology so it can be used to diagnose skin diseases quickly, precisely and accurately. So in the future the handling of skin diseases can be faster and more efficient.

scholarly journals SISTEM PAKAR MENDIAGNOSA PENYAKIT HERPES ZOSTER DENGAN MENGGUNAKAN METODE TEOREMA BAYES

2019 ◽  
Author(s):  
HENGKI TAMANDO SIHOTANG ◽  
Erwin Panggabean ◽  
Herlina Zebua
Keyword(s):  
Herpes Zoster ◽  
Skin Diseases ◽  
Visual Basic ◽  
Bayes Theorem ◽  
Bayes Method ◽  
Expert Analysis

Herpes Zoster disease is one of the most difficult skin diseases to treat and everyone can experience it, the characteristic of this disease is marked by unilateral vesicular grouped with pain marked with radicular around the dermatome. This study aims to build bayes theorem method using Visual Basic 2008 as a tool to diagnose skin diseases. With this application does not have to wait long to anticipate treatment quickly and precisely. How to use this application is the admin input questions in the form of symptoms experienced by the patient, then the system will process all the patient answers using Bayes method a nd the system will output the results of the diagnosis of the type of disease. The built system can help the patient in knowing the type of illness that is being suffered by the patient and in accordance with the expert analysis of skin diseases.

scholarly journals Sistem Pakar dalam Menganalisis Gangguan Jiwa Menggunakan Metode Certainty Factor

2021 ◽  
pp. 227-232
Author(s):  
Rafi Septiawan Putra ◽  
Y Yuhandri
Keyword(s):  
Expert System ◽  
Mental Disorders ◽  
Scientific Data ◽  
Problem Solver ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Certainty Level ◽  
And Behavior ◽  
Attitudes And Behavior

People with Mental Disorders (ODGJ) as a trigger for people who suffer from disorders of thought, feeling and behavior cause changes in attitudes and behavior that hinder normal human functioning. Mental disorders as a syndrome characterized by a change in a person's behavior that will be associated with symptoms such as difficulties or disorders, as well as psychological functions and behavior that are not confident in dealing with people but can also be with that person. An expert system is an intelligent computer technology that is based on solving problems using inferential knowledge and procedures. As a problem solver, expert systems will also find it easier to make decisions or policies like humans do. This study aims to produce an expert system that is used to analyze mental disorders who can make similar decisions, as well as psychiatric specialists. The data processed in this study is scientific data on mental disorders ranging from types of mental illness, early symptoms of disease and patient diagnosis data by mental health specialists, then the data is processed using the Certainty Factor method and displayed in the form of a web-based application using the PHP programming language. and MySQL databases. The results obtained from testing the expert system using the Certainty Factor method show that there is a match between the results of an expert diagnosis of depression with a certainty level of 73%. An expert system for analyzing mental disorders using the Certainty Factor method can make it easier for sufferers to understand the type of mental disorder they are experiencing.

Sistem Pakar Diagnosis Penyakit Jamur pada Manusia Menggunakan Input Suara Berbasis Android

2019 ◽  
Vol 3 (3) ◽  
pp. 435-442
Author(s):  
Feriantano Sundang Pranata ◽  
Jufriadif Na’am ◽  
Sumijan
Keyword(s):  
Expert System ◽  
Early Detection ◽  
Skin Disease ◽  
Skin Diseases ◽  
Initial Diagnosis ◽  
Test Results ◽  
Certainty Factor ◽  
Early Diagnose ◽  
The Tropics

Fungal skin disease is a type of disease that is often suffered people in the tropics. Phenomena in the community often assume that this disease will heal by itself. However, if left the effects of fungal skin disease can worsen the sufferer condition. The importance of early detection and treatment is very necessary, but this requires patients go to hospital or doctor so that patients spend a lot of time and money. For this reason, was build an android expert system with speech to early diagnose fungal skin diseases. From this initial diagnosis will save time and money and provide alternative prevention for sufferers. The method used in this study is the Certainty Factor of 20 patients. The accuracy of the test results to the system compared to the results of the doctor's diagnosis is 95%. So that, this expert system can be an early alternative in diagnose fungal skin diseases in humans.

scholarly journals Akurasi dalam Mendeteksi Penyakit Kulit Menular menggunakan Gabungan Metode Forward Chaining dengan Certainty Factor

2020 ◽  
pp. 48-55
Author(s):  
Deosa Putra Caniago ◽  
Sumijan
Keyword(s):  
Expert System ◽  
Skin Disease ◽  
Skin Diseases ◽  
Medical Personnel ◽  
Certainty Factor ◽  
Natural Conditions ◽  
Forward Chaining ◽  
The Right ◽  
Infectious Skin Diseases

The skin is the outer protective organ for humans. Skin is the most interacting layer with the environment. Interactions that occur are not always safe against bacteria, viruses, fungi and parasites, so they will cause harm. Poor interactions will result in skin diseases. This skin disease is often considered normal, but can be dangerous and deadly and contagious. Due to the natural conditions and lack of medical personnel, sufferers of skin diseases have problems in examining their skin diseases. So this research was conducted by using an Expert System (Expert System) to help sufferers of skin diseases and help get solutions to these diseases. The solution obtained from the symptoms felt by sufferers. The method used in this study is Forward Chaining (FC) and processed using the Certainty Factor (CF) Method. The results of this study can determine the right initial steps in dealing with infectious skin diseases. So this research is very helpful for sufferers in knowing the type of skin disease, the solution in its prevention and its prevention precisely.

scholarly journals Media Konsultasi Penyakit Kulit Pada Balita Menggunakan Metode Certainty Factor

2020 ◽  
Vol 3 (1) ◽  
pp. 10-17
Author(s):  
Sudi Utari ◽  
Uky Yudatama ◽  
Bambang Pujiarto
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Body ◽  
Skin Diseases ◽  
The Body ◽  
The Sun ◽  
Test Results ◽  
Certainty Factor ◽  
Factor Method ◽  
The One

The skin, which is the largest part  of the human body, is the body's first defense against bacterial and virus attacks. When the skin is exposed to the sun, dry weather, or bacteria, the reaction will spread to other parts of the body, and can even result in death if it is too late to be handled especially if the sufferers are children who are very vulnerable to disease. In this study an expert system was implemented to diagnose skin diseases in infants using the certainty factor method. certainty factor method is very suitable for expert systems that diagnose something that is uncertain. This system makes a diagnosis based on the symptoms felt by the user and then calculates certainty factors based on existing symptoms. Based on the test results by making comparisons between manual calculations and the one carried out by the system it is known that 90.22% of the diagnosis results get the same results so that the system is said to be suitable for use.  

scholarly journals Rancang Bangun Sistem Pakar untuk Penanganan Penyakit Pada Durian Berbasis Web

2021 ◽  
Vol 2 (1) ◽  
pp. 167-172
Author(s):  
Alfi Syahrinur Sitorus ◽  
Juna Eska ◽  
Sumantri Sumantri
Keyword(s):  
Expert System ◽  
Qualitative Approach ◽  
Plant Diseases ◽  
Certainty Factor ◽  
Web Based ◽  
Existing Problems ◽  
Factor Method ◽  
System Method ◽  
Manual Methods ◽  
The Web

Abstract :In cultivating durian farmers often suffer losses because durian plants are always attacked by pests and durian plant diseases because farmers still use manual methods to find out in dealing with durian plant diseases. From the existing problems, the purpose of this study is to design an expert system with Certainty factor method in handling web-based durian plant diseases that can be accessed by anyone. The benefits of this research provide convenience and help farmers to consult those who have activities worthy of a very experienced system such as experts. The expert system method used is using Certainty factor. The research methodology used by using a qualitative approach. The location of this research was conducted at the Asahan District Agriculture Service specifically in the field of plantations. The design model uses the Rad model, the programming language used by PHP and MySQL as its database. The results of this study are expected by the application of an expert system using the web-based Certainty factor method to diagnose diseases in durian plants and provide treatment solutions so that it can make it easier for farmers and communities to deal with diseases in the durian plants.                                       Keywords: Expert System; Durian; Certainty factor  Abstrak: Dalam membudidayakan durian petani selalu merasa rugi disebabkan tanaman durian selalu diserang para hama dan penyakit tanaman durian dikarenakan mereka tetap memakai cara yang kuno saat mendeteksi serta mengatasi penyakit tanaman durian. Dari permasalahan tersebut jadi tujuan penelitian ini agar merancang sistem pakar dengan metode Certainty factor pada penanganan penyakit tanaman durian berbasis web yang dapat diakses oleh siapa saja. Manfaat dari penelitian ini memberikan serta mempermudah juga menolong para petani ketika bertanya, juga mempunyai aktifitas seperti sistem yang handal bagaikan para ahli. Metode sistem pakar yang digunakan menggunkan Certainty factor. Metodeologi penelitian yang dipakai dengan mengguna-kan kualitatif. Tempat penelitian ini berada pada Dinas Pertanian kabupaten Asahan khusus nya dibidang perkebunan. Model perancangan menggunakan model Rad, bahasa pemograman yang dipakai php dan MySQL menjadi penyimpanan data nya. Hasil akhir dari penelitian ini diharapkan dengan adanya aplikasi sistem pakar memakai cara Certainty factor berjalan di web dapat mendiagnosa penyakit pada tanaman durian dan memberikan solusi penanganannya sehingga dapat lebih memudahkan petani dan masyarakat dalam menangani penyakit pada tanaman durian tersebut. Kata Kunci : Sistem Pakar; Durian; Certainty Factor

scholarly journals Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT

2018 ◽  
Vol 10 (1) ◽  
pp. 30-35 ◽  
Author(s):  
Khairina Eka Setyaputri ◽  
Abdul Fadlil ◽  
Sunardi Sunardi
Keyword(s):  
Decision Making ◽  
Infected Person ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Two Factors ◽  
Clear Information ◽  
Nose And Throat ◽  
Require Information

There are two factors that cause a disease, called  Congenital and Acquired. Congenital refers to a disease a person is born with, while Acquired refers to a disease acquired after a person was born such as infection, trauma, and neoplasm. The infected person will sometimes require information on the disease before going to the doctor or a hospital. Such information may be found from a system which receives input on the symptoms and gives a clear information on the corresponding disease. This may be achieved via a system of experts, in which the expert refers to an ENT (Ear, Nose, and Throat) specialist. Such information is hoped to provide a solution on the disease. The system of ENT specialists designed and research in this paper used the certainty factor method. The method will overcome the uncertainty in decision making depending on the symptoms described by the user. This paper is successfully applied certainty factor method used as an instrument of decision making in the system of ENT specialists. The system is web-based, enabling the user to access and choose the symptoms of the disease as well as acquiring information on ENT diseases  easly.

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