Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Brillian Aristyo Rahadian
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Implementasi Genetic Algorithm Dan Artificial Neural Network Untuk Deteksi Dini Jenis Attention Deficit Hyperactivity Disorder Brillian Aristyo Rahadian; Candra Dewi; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1060.948 KB)

Abstract

ADHD (Attention Deficit Hyperactivity Disorder) is a psychomotor disorder that the patient is difficult to concentrate and do something excessively. Types of ADHD detection can be done by experts such as doctors, nurses and psychologists who has mastered and give solutions for therapy who affected by ADHD. However due to the limited expertise it's quite difficult to consultancy with an experts. Therefore can be made a system for early detection of ADHD. In this research, the implementation of GA-LVQ2 methods for early detection of ADHD types. Stages of implementation are population initialization, crossover, mutation, evaluation, elitism selection, and LVQ2 training. Using real coded genetic algorithm as the representation of solution. Chromosome length in this study was 45, which is a symptom of ADHD. The result of the testing has been done is the highest accuracy reached 95% in the test with 20 data testing with the parameter value of population size 10, crossover rate 0.9, mutation rate 0.1, generations 40, learning rate 0.1, the learning rate reducer 0.1, the constant value ε 0.35. System output is the best LVQ weights that have been tested and have high accuracy.
Co-Authors Bayu Rahayudi Candra Dewi