Implementation of the Certainty Factor Method for Early Detection of Cirrhosis Based on Android

Safira, Laura; Irawan, M.T Budhi

doi:10.1088/1742-6596/1201/1/012053

Cited by 13 publications

(12 citation statements)

References 2 publications

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“…Weight values (MB value and MD value) are needed for each symptom in each disease [25], [31]- [34]. The expert provides a scale of weight values for each symptom between 0 -1.0, the CF Rule, which contains the symptoms and the weight value of the expert for each disease.…”

Section: Resultsmentioning

confidence: 99%

Implementation of The Certainty Factor Method in The Expert System For Early Diagnosis of Dyslexia in Childhood

Ashidiqi

Widaningrum²,

Karaman³

2023

intensif

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Dyslexia is a condition in which a person has difficulty (especially) in areas related to learning abilities such as reading, writing, and arithmetic or matters relating to numbers. This condition is not the skills expected of people with chronological age and normal intelligence abilities or IQ (quality of intelligence). This condition is sometimes not realized by parents and only consider their child slightly delayed, even though it is under standard (minimum) abilities at his age. Therefore, a platform using an expert system with the Certainty Factor method was created to help parents detect early whether their child has dyslexia or not and find out what type of dyslexia the child is experiencing. The types of dyslexia that will be included in this study include surface dyslexia, phonological dyslexia, rapid naming deficit, dysgraphia, and dyscalculia. The white box results found that the system was in line with expectations because it had a low level of risk.

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Section: Resultsmentioning

confidence: 99%

Implementation of The Certainty Factor Method in The Expert System For Early Diagnosis of Dyslexia in Childhood

Ashidiqi

Widaningrum²,

Karaman³

2023

intensif

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“…The accuracy of the system depends on the quality of the rules used and the data used to train the system. The CF method can be used to identify areas where the system needs improvement and to make changes to improve its accuracy [16,17]. In addition to evaluating the accuracy of the diagnostic system, the CF method can also be used to evaluate the accuracy of other types of systems used to identify COVID-19, such as rapid diagnostic tests or imaging systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Certainty Factor Method Analysis for Identification of Covid-19 Virus Accuracy

Hayadi

2023

IJIIS Int. J. Informatics Inf. Syst.

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Corona virus or often called COVID-19 is a virus caused by SARS CoV 2, where the incident was uploaded in the world of health or we often call WHO. Even the World Health Organization (WHO) has declared that the corona virus outbreak is a Public Health Emergency of International Concern (PHEIC) or an international public health emergency. Not only has an impact on health, but this virus outbreak has also had a major impact in various sectors such as disrupting the country's economy, disrupting the education process and so on. This impact is caused by the very fast spread of the virus. Therefore, the author will analyze the level of accuracy in the covid-19 virus by using the certainty method model which aims to make it easier for local governments to monitor the spread of the COVID-19 virus and can determine future policies so that the spread is not more easily exposed to the community. this method will produce data analysis and diagnoses regarding identifying the covid-19 virus with results in the form of accuracy, namely someone is indicated as COVID-19 POSITIVE.

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“…Certainty Factor suatu faktor kepastian untuk membuktikan ketidakpercayaan pemikiran ahli pakar, dimana dalam menggambarkan tingkat kepercayaan pakar membutuhkan faktor kepastian, biasanya hasil dari metode faktor kepastian berupa persentase [15]. Certainty factor menggunakan nilai sebagai memperhitungan tingkat keyakinan seorang pakar terhadap suatu data [8].…”

Section: Pengumpulan Dataunclassified

Kombinasi Metode Certainty Factor dan Forward Chaining untuk Identifikasi Jenis Kulit Wajah Berbasis Android

Cahyaningsih

Triayudi

Sholihati

2021

mib

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Using skincare and facial skin care must be in accordance with the type of facial skin, because if it is not suitable, it can cause problems such as facial skin breakouts, dry skin, irritated skin, and acne prone skin. To find out the type of facial skin, you have to do an examination with a skin and genital specialist, but the high cost of consultation and the long queue process is an obstacle for everyone. Therefore, the authors created an expert system to identify facial skin types using a combination of certainty factor methods with forward chaining techniques. The diagnostic results from calculations using an expert system application and the results of manual calculations from one of the respondent data from 100 respondent data, namely producing the same level of confidence, each of which produces a percentage of 99.45% and the diagnostic results state that the user has a normal skin type.

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Implementation of the Certainty Factor Method for Early Detection of Cirrhosis Based on Android

Cited by 13 publications

References 2 publications

Implementation of The Certainty Factor Method in The Expert System For Early Diagnosis of Dyslexia in Childhood

Implementation of The Certainty Factor Method in The Expert System For Early Diagnosis of Dyslexia in Childhood

Certainty Factor Method Analysis for Identification of Covid-19 Virus Accuracy

Kombinasi Metode Certainty Factor dan Forward Chaining untuk Identifikasi Jenis Kulit Wajah Berbasis Android

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