JISA (Jurnal Informatika dan Sains)
Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)

The Classification of Anxiety, Depression, and Stress on Facebook Users Using the Support Vector Machine

Tsania Maulidia Wijiasih (Institute Technology Telkom Purwokerto)
Rona Nisa Sofia Amriza (Institute Technology Telkom Purwokerto)
Dedy Agung Prabowo (Institute Technology Telkom Purwokerto)



Article Info

Publish Date
20 Jun 2022

Abstract

Social media remains an essential platform for connecting people with friends, family, and the world around them. However, when events spread on social media are primarily negative, it will cause depression, anxiety, and stress that tend to increase. This study aims to classify depression, anxiety, and stress using the Support Vector Machine. The data in this study were obtained from active Facebook users using the Depression Anxiety Stress Scale (DASS 21) questionnaire. This study adopted the Knowledge Discover Database process. The result of this study is an evaluation of the performance of the Support Vector Machine classification of depression, anxiety, and stress. The accuracy of the Support Vector Machine in this study is 98.96%.

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Journal Info

Abbrev

JISA

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

JISA (Jurnal Informatika dan Sains) is an electronic publication media which publishes research articles in the field of Informatics and Sciences, which encompasses software engineering, Multimedia, Networking, and soft computing. Journal published by Program Studi Teknik Informatika Universitas ...