Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020)

Mobile Phone Scanner Technology Adoption - A Comparison Analysis

Authors
Indra Surya Permana*
Department of Economic Science, Universitas Nahdlatul Ulama Cirebon, Cirebon, Indonesia
Taufik Hidayatthidayat.ft@unwir.ac.id
Department of Computer Engineering, Universitas Wiralodra, Indramayu, Indonesia
Rahutomo Mahardikorahutomo.mahardiko@gmail.com
Department of Software Service, Platinumetrix Pte. Ltd, Jakarta, Indonesia
Corresponding Author
Indra Surya Permana
Available Online 30 November 2021.
DOI
10.2991/aer.k.211129.071How to use a DOI?
Keywords
mobile phone; scanner technology; smartphone; comparison analysis
Abstract

With the development of smartphone technology becoming more sophisticated, more developers were trying to increase the capability of smartphone. One of such functionality was the use of camera technology not only as image capturing device, but also as scanner substitution device to increase productivity. This study compared characteristics of mobile scanner app’s user based on gender, age, and educational level among Indonesian citizen in some cities. The results showed that educational level was playing crucial of scanner mobile apps usage in Indonesia.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020)
Series
Advances in Engineering Research
Publication Date
30 November 2021
ISBN
10.2991/aer.k.211129.071
ISSN
2352-5401
DOI
10.2991/aer.k.211129.071How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Indra Surya Permana
AU  - Taufik Hidayat
AU  - Rahutomo Mahardiko
PY  - 2021
DA  - 2021/11/30
TI  - Mobile Phone Scanner Technology Adoption - A Comparison Analysis
BT  - Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020)
PB  - Atlantis Press
SP  - 336
EP  - 340
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.211129.071
DO  - 10.2991/aer.k.211129.071
ID  - Permana2021
ER  -