Open AccessClassification using Deep Learning based on selection optimizing counseling data
Author(s) -
Agus Budianto,
Mohd Fauzi Othman,
Yasmin Rahim
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1098/3/032065
Subject(s) - computer science , perceptron , artificial intelligence , machine learning , feature (linguistics) , support vector machine , selection (genetic algorithm) , deep learning , value (mathematics) , data classification , data mining , artificial neural network , linguistics , philosophy
Counseling is professional assistance given by counselors to clients directly, to solve problems and improve their behavior. In the future. The discussion of the problem in question is in-depth which concerns important matters about the client, broad covering various aspects of the client’s problem, and specifically to alleviate the client’s pressing problems. The Support Vector Machine and Multi Layer Perceptron algorithm is applied to classify counseling data provided by professionals to clients with an accuracy of 86.39%. Data from Vocational Research in Malang City in 2018. To improve the optimal accuracy of the type of counseling data classification, this study proposes an algorithm optimization feature for the Deep Learning algorithm. The results showed a significant increase in accuracy. The value of classification accuracy in counseling data generated by the Deep Learning algorithm has increased to 97.37% with a better level of accuracy.