Jurnal Ilmu Komputer dan Sistem Informasi
Vol. 3 No. 1 (2024): Januari 2024

leman, D PENERAPAN METODE TEOREMA BAYES UNTUK DIAGNOSA GANGGUAN ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD) PADA ANAK

Leman, Dedi (Unknown)



Article Info

Publish Date
30 Jan 2024

Abstract

Attention Deficit Hyperactivity Disorder (ADHD) or in Indonesian called Attention Deficit and Hyperactivity Disorder is a psychiatric disorder that causes sufferers to have difficulty concentrating and have excessive activity or can't stay still compared to normal people. Many people are not yet aware that if a child's excessive behavior and low level of concentration could result in the child suffering from ADHD, Bayesian decision theory is a fundamental statistical approach in pattern recognition. This approach is based on quantifying the trade-offs between various classification decisions using the probability and costs involved. arising from these decisions. Bayes' theorem is a theory of probability conditions that calculates the probability of an event (hypothesis) which depends on other events (evidence). In this research, a web-based expert system was built with a knowledge base from 3 experts to make it easier for parents of children to diagnose possible symptoms. suffered by his son. The results of system testing on experts with an average percentage of 90% from 3 experts, show that the expert system that has been created is able to diagnose the type of ADHD behavior suffered by children along with the level of confidence in the diagnosis.

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Journal Info

Abbrev

jirsi

Publisher

Subject

Computer Science & IT Library & Information Science

Description

Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) dikelola secara profesional oleh LKP UNITY Academy dalam membantu para akademisi, peneliti dan praktisi untuk menyebarkan hasil penelitiannya dalam panduan Kemendikbud Ristek Dikti. Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI) Adalah sebuah ...