Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/118797
Title: Sistem Pakar Diagnosa Jenis Gangguan Jiwa Skizofrenia Berbasis Website Menggunakan Metode Dempster Shafer
Authors: MAULIDA, Ratna Syavira
Keywords: Schizophrenia
Dempster Shafer
Issue Date: 23-Jun-2023
Publisher: Fakultas Ilmu Komputer
Abstract: Schizophrenia is a mental illness that has become a problem in recent decades. According to the Ministry of Health, the incidence of mental disorders in Indonesia in 2020, especially various schizophrenic mental disorders, ranked second. This data was collected based on 2018 data. There were 58,520 people with schizophrenia in East Java Province, and 1,878 people lived in Jember. Schizophrenia itself is a psychiatric disorder that affects brain function—the patient's normal cognitive, emotional, and behavioral functions. The number of people affected in 2018, especially in Jember, is due to a lack of knowledge and concerns about mental health issues, which remain under-represented. Based on this, an expert system based on the Dempster-Schafer method was created to help people get an early diagnosis of schizophrenia and at the same time get information about the diversity of schizophrenia. This website-based system diagnoses people with schizophrenia using calculations based on weightings of disease symptom scores determined by experts. This web-based system can diagnose the type of schizophrenia you've had before, minimizing the impact on patients of delayed treatment. Expert systems are a form of artificial intelligence (artificial intelligence) development based on computer programs aimed at bringing knowledge, perception, and human knowledge into computers. The DempsterSchafer theory is a mathematical theory used as a belief function and a plausible inference-based proof for combining pieces of information used to calculate the probability of an event. The system divides six types of schizophrenia into 43 symptoms and identifies them by interviewing experts about the belief value of each symptom. The results of this study were 100% accuracy using the Dempster-Schafer method for early diagnosis of schizophrenia patients.
Description: Finalisasi unggah file repositori tanggal 21 November 2023_Kurnadi
URI: https://repository.unej.ac.id/xmlui/handle/123456789/118797
Appears in Collections:UT-Faculty of Computer Science

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