Expert System for Diagnosing Dental and Mouth Diseases with a Website-Based Certainty Factor (CF) Method

Pasaribu, Sutrisno Arianto; Sihombing, Poltak; Suherman, Suherman

doi:10.1109/mecnit48290.2020.9166635

Cited by 13 publications

(12 citation statements)

References 10 publications

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“…Sehingga hasil diagnosa yang dihasilkan berupa penalaran cerdas. Penelitian diagnose penyakit gigi dan mulut menggunakan metode certainty factor menunjukkan tingkat akurasi diagnosa sebesar 99% [3].…”

Section: Pendahuluanunclassified

Perancangan Sistem Pakar Diagnosa Penyakit Otitis Menggunakan Metode Forward Chaining Dan Certainty Factor

Jufri

Caniago²

2022

JTEKSIS

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The ear is the five senses and is the external organ that most often interacts with external objects, the most common disturbance in the ear organs is an infection in the ear called otitis, otitis is an inflammation that causes an infection in the ear. Otitis itself has many types such as external, media, internal and others. with research using an Expert System, utilizing the Forward Chaining and Certainty Factor methods, it is hoped that it can help patients to be able to consult the system, as appropriate to consult an ENT-KL specialist, with an accuracy of up to 94%.

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Section: Pendahuluanunclassified

Perancangan Sistem Pakar Diagnosa Penyakit Otitis Menggunakan Metode Forward Chaining Dan Certainty Factor

Jufri

Caniago²

2022

JTEKSIS

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“…Berdasarkan permasalahan tersebut diperlukan teknologi dalam mengefektifitaskan kegiatan tersebut, yaitu dengan perancangan sebuah sistem pakar. Sistem pakar merupakan teknologi berbasis cerdas yang dapat menganalisa dan memecahkan permasalahan tertentu dengan tools berupa program komputer yang dapat meniru proses berpikir dari ahli terhadap domain pengetahuan [6]. Sistem pakar merupakan suatu sistem yang dapat menirukan kemampuan seorang pakar di implementasikan ke dalam sebuah perangkat komputer berbasis aturan [7].…”

Section: Kualitasunclassified

Implementasi Metode Certainty Factor Dalam Sistem Pakar Untuk Mengidentifikasi Penyakit Tanaman Lada

Muslimin¹,

Sugiartawan²

2021

SINTECH Journal

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Pepper is an agricultural commodity that has a high selling value and is resistant to disease. Identifying the disease in pepper requires knowledge from agricultural experts to evaluate the symptoms of the disease being experienced. Involving an agricultural expert certainly has drawbacks in terms of slow handling, less effective management of large amounts of data. So we need a system that can accommodate these problems. Expert system is one of the sub-branches of science in the field of artificial intelligence, where expert knowledge is expressed in a model with an intelligent-based system. The expert system serves as an interactive consultant media in diagnosing pepper plant diseases based on symptoms. In producing the right decision, a process model is needed in the form of tracing rules and knowledge preference values based on input values in the form of probabilistic data / uncertainty for each symptom. Certainty factor modeling method has the ability to evaluate the preference value of expert knowledge. Based on the model and the weight value of each measure and level of symptoms, it can produce a high level of accuracy decision analysis. Expert systems have advantages that can accommodate expert knowledge in diagnosing pepper plant diseases in time series. This research can help farmers, researchers, experts or agencies in the field of agriculture to identify common diseases of pepper, so that it can provide basic knowledge about various types of diseases and treatment solutions to support the growth of pepper plants.

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“…An expert system is an application that is used to provide problem-solving solutions that usually require human intelligence and use human knowledge [1]. Coronavirus 2019 (Covid-19) better known as a severe acute respiratory syndrome can pose a significant danger to human life in all countries [2].…”

Section: Introductionmentioning

confidence: 99%

Expert System for Diagnosing Early Symptoms of COVID-19 Using the Certainty Factor Method

Julianti

Nurmaesah

Prayogo

2022

JSG

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Coronavirus Disease 2019 (Covid-19) is a pathogenic virus that is the main cause of respiratory tract diseases that can cause respiratory problems such as lung infections and can cause death. Based on data from the health department, the city of Tangerang said that the level of transmission of Covid-19 in the Tangerang Raya area was included in the red zone category, where the spread of Covid-19 averaged 130 additional cases per day. The main problem found is the difficulty of detecting early symptoms that arise as an indication of being infected with Covid-19 and tools to assist in detecting early symptoms felt by the general public. In this study, a rule-based knowledge representation process for the initial clinical symptoms of Covid-19 infection was carried out using an expert system with the certainty factor method, which aims to measure the level of certainty that has been confirmed by Covid-19 against the initial clinical symptoms felt by the user and makes it easier for users to detect the early symptoms of Covid-19 and helps the government, in this case, the health service center through the availability of the expert system application. Based on the results and discussions that have been carried out in this study, it can be concluded that the results of experiments to detect early clinical symptoms that were implemented using an expert system with the certainty factor method showed empirical calculations in the range of 81-85% confidence level on the results given by the system in initial clinical symptoms entered by the user. The results of the research above were obtained through a process of validating the suitability of initial clinical symptoms to the level of Covid-19 infection by using the forward chaining method and then measuring the level of confidence in the results that have been given based on the established rules. The expert system application with the proposed certainty factor method is the basis for developing mobile-based applications that can be used easily for the wider community

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Expert System for Diagnosing Dental and Mouth Diseases with a Website-Based Certainty Factor (CF) Method

Cited by 13 publications

References 10 publications

Perancangan Sistem Pakar Diagnosa Penyakit Otitis Menggunakan Metode Forward Chaining Dan Certainty Factor

Perancangan Sistem Pakar Diagnosa Penyakit Otitis Menggunakan Metode Forward Chaining Dan Certainty Factor

Implementasi Metode Certainty Factor Dalam Sistem Pakar Untuk Mengidentifikasi Penyakit Tanaman Lada

Expert System for Diagnosing Early Symptoms of COVID-19 Using the Certainty Factor Method

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