Implementasi Metode Certainty Factor Pada Sistem Pakar Diagnosa Dini Penyakit Skizofrenia Berbasis Website

Awara, Weka Bagas (2025) Implementasi Metode Certainty Factor Pada Sistem Pakar Diagnosa Dini Penyakit Skizofrenia Berbasis Website. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

People with schizophrenia are two to three times more likely to die prematurely, especially because they are prone to suicidal ideation. Concerns about discrimination and the negative stigma that schizophrenia equates to insanity make people reluctant to seek psychiatric care, leading to many cases of delayed intervention. Delayed or inappropriate intervention can result in the need for long-term care. Early detection of schizophrenia can enable timely intervention to control symptoms, prevent relapses, and improve quality of life, allowing sufferers to live a normal life. A website-based expert system using the Certainty Factor (CF) method can be a possible solution for early detection of schizophrenia anywhere and anytime. This study developed a website-based expert system with CF using PHP. System testing using the Confusion Matrix yielded 52% accuracy, 51% precision, and 100% recall, concluding that the system can perform reasonably well for early detection.

Item Type: Thesis (Undergraduate)
Student ID: 201810370311292
Keywords: Certainty Factor, Confusion Matrix, Expert System, Schizophrenia
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
T Technology > TT Handicrafts Arts and crafts
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201810370311292 wekabagas
Date Deposited: 08 Aug 2025 04:16
Last Modified: 08 Aug 2025 04:16
URI: https://eprints.umm.ac.id/id/eprint/21534

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