Analisis Penerapan Metode Bayesian Network Untuk Mendiagnosa Penyakit Gangguan Mental pada Anak

Aryanti, Lisdan (2018) Analisis Penerapan Metode Bayesian Network Untuk Mendiagnosa Penyakit Gangguan Mental pada Anak. S1 thesis, Universitas Mataram.

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Abstract

–Mental illness does not only occur in adults but also in children. Children who have mental illness usually behave differently from other children such as, being hyperactive, having an emotional disorder, or even separate themselves from others.In this research, we built a system that can diagnose mental illness in children using the Bayesian Network method. Each symptom of mental illness has its own weight as the initial value to be used to do the Bayesian Network calculation. The testing process was done by two experts by comparing the system's diagnosis results with the medical record of real cases. From 40 medical record data, the accuracy obtained from both experts was 95%. We also compared the calculation done by the system with the manual calculation. The result showed that the calculation done by the system is in accordance with the manual calculation.

Item Type: Thesis (S1)
Keywords (Kata Kunci): Diagnose System,Mental Disoder, Bayesian Network.
Subjects: L Education > L Education (General)
Divisions: Fakultas Keguruan dan Ilmu Pendidikan
Depositing User: Saprudin Saprudin
Date Deposited: 07 Jan 2019 01:39
Last Modified: 07 Jan 2019 01:39
URI: http://eprints.unram.ac.id/id/eprint/11496

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