SISTEM PENALARAN BERBASIS ATURAN DAN KASUS UNTUK DIAGNOSA GANGGUAN KEJIWAAN PSIKOSIS
| Main Authors: | , AUSE LABELLAPANSA, , Dra. Sri Hartati, M.Sc., Ph.D. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2013
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/125919/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=66101 |
Daftar Isi:
- Research on mental illness \"The Global Burden of Disease\" conducted by Murray (1996) in collaboration with WHO and the World Bank predicts that mental illnesses will occupy the second position after cardiovascular disease in 2020. One of the mental illness is a disease Psychosis. This resulted in a computer system that utilizes artificial intelligence methods to help professionals working in the field of psychiatric medicine becomes indispensable. This study uses a rule-based reasoning (RBR) to conduct an assessment consisting of psychosis Schizophrenia disorders, settled delusional disorders and acute transient psychotic disorders with Certainty Factor (CF) method to handle uncertanty and the use of case-based reasoning (CBR) for diagnosing types of Schizophrenia disorders. The process of diagnosis is done by entering the patients symptoms by paramedics. If the patient has a Schizophrenia disorder, then use CBR to diagnose kinds of Schizophrenia. Each Schizophrenia new case will be calculated using a rate of similarity Weighted Nearest Neighbor method. Results of tests performed by experts have shown that the system is able to diagnose correctly, while the tests results using medical records show that the system is able to correctly identify the kind of Skizofrenia with criteria similarity at 80% (0,8-1) and 20% (0,6-0,79).