Wireless Local Area Network and Analytical Hierarchy Process: Technology Acceptance Model for Increasing Use of Online Learning

Authors

  • Rangga Firdaus Faculty of Teacher Training and Education, University of Lampung, Lampung, Indonesia
  • Yusri Abdullah Faculty of Computing and Meta-Technology, Sultan Idris University of Education, Perak, Malaysia
  • Satria Abadi Faculty of Computing and Meta-Technology, Sultan Idris University of Education, Perak, Malaysia
  • Muhamad Hariz Muhamad Adnan Faculty of Computing and Meta-Technology, Sultan Idris University of Education, Perak, Malaysia
  • Sri Rezeki Candra Nursari Faculty of Technology and Computing, Bakti Nusantara Institute, Lampung, Indonesia
  • Deshinta Arrova Dewi Faculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia

DOI:

https://doi.org/10.37934/araset.47.1.2938

Keywords:

WLAN, AHP, TAM, topology networking, online learning

Abstract

Online learning is currently very much needed for the development of science in schools, the covid 19 outbreak has made changes to learning methods. The change in the learning model must also be supported by supporting learning devices and media, including computer networks and the internet in schools, the network that is used to support online learning is currently widely used by schools using WLAN, because it can reach parts of the hard one. The use of WLAN learning devices and media as a support for online learning can be an obstacle for some teachers and students, this is because not all teachers and students can understand the online learning system and not all areas have a fast internet access network, with these constraints in need a technology acceptance measurement model (TAM) for online learning using WLAN, so that online learning can be carried out properly and the achievement of successful learning can be carried out.

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Author Biographies

Rangga Firdaus, Faculty of Teacher Training and Education, University of Lampung, Lampung, Indonesia

ranggaunila@gmail.com

Yusri Abdullah, Faculty of Computing and Meta-Technology, Sultan Idris University of Education, Perak, Malaysia

yusri.abdullah@meta.upsi.edu.my

Satria Abadi, Faculty of Computing and Meta-Technology, Sultan Idris University of Education, Perak, Malaysia

satria@meta.upsi.edu.my

Muhamad Hariz Muhamad Adnan, Faculty of Computing and Meta-Technology, Sultan Idris University of Education, Perak, Malaysia

mhariz@meta.upsi.edu.my

Sri Rezeki Candra Nursari, Faculty of Technology and Computing, Bakti Nusantara Institute, Lampung, Indonesia

srirezekicandra.n@univpancasila.ac.id

Deshinta Arrova Dewi, Faculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia

deshinta.ad@newinti.edu.my

Published

2024-06-21

Issue

Section

Articles