Preferences Analysis of Engineering Students on Choosing Learning Media using Support Vector Machine (SVM) Model

DOI

10.2991/icovet-18.2019.15How to use a DOI?

Keywords

Preferences Analysis; Engineering Students; Learning Media, Artificial Neural Network

Abstract

This research aims to perform preferences analysis of engineering students on choosing learning media using Support Vector Machine (SVM) model. Data is collected using questionnaire. The questionnaire consists of four items related to students profile and 17 items related to students preferences on learning media. Respondents are students in Faculty of Engineering. The total number of usable respons are 1,911. Data were analyzed using Support Vector Machine Model and resulted in the accuracy of 98.48%. The results show that factors behind learning media choice and the using pattern of e-book as learning media are the most influence variables that affect engineering students preferences on choosing learning media.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Aisyah Larasati
AU  - Apif Miftahul Hajji
AU  - Anik Nur Handayani
PY  - 2019/01
DA  - 2019/01
TI  - Preferences Analysis of Engineering Students on Choosing Learning Media using Support Vector Machine (SVM) Model
BT  - Proceedings of the 2nd International Conference on Vocational Education and Training (ICOVET 2018)
PB  - Atlantis Press
SP  - 57
EP  - 59
SN  - 2352-5398
UR  - https://doi.org/10.2991/icovet-18.2019.15
DO  - 10.2991/icovet-18.2019.15
ID  - Larasati2019/01
ER  -