Proceedings of the 2nd International Conference on Social Science, Humanities, Education and Society Development (ICONS 2021)

Digital Civil Servant Recruitment Model

(Adaptive Policy for Covid-19 Pandemic)

Authors
In’amul Mustofa*, Suswanta Suswanta, Muchamad Zaenuri
Master of Government Affairs and Administration, Universitas Muhammadiyah Yogyakarta, Indonesia
*Corresponding author. Email: inam.mustofa71@gmail.com
Corresponding Author
In’amul Mustofa
Available Online 5 January 2022.
DOI
10.2991/assehr.k.220101.001How to use a DOI?
Keywords
Civil Servant; Covid-19; Digital Recruitment; New Innovation
Abstract

This study aims to find system innovations and procedures for digitally recruiting civil servants during the Covid-19 pandemic. The current recruitment system still uses the Computer Assist Test (CAT) with computer equipment provided by the committee, so that participants use it interchangeably. Simultaneous testing also has the potential for crowds of participants, even though currently the virus variant is getting stronger and more easily transmitted. The research method uses a literature review from various library sources related to public policy, recruitment models, digital innovation, and government regulations. This study found innovation in the digital civil servant recruitment system. The digital system allows prospective civil servant participants to take a series of administrative tests, basic skills tests, field proficiency tests, to online filing. The system is equipped with sophisticated features so that it does not provide opportunities for participants to cheat. In addition, the system needs to be equipped with protection for privacy and data security.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Social Science, Humanities, Education and Society Development (ICONS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
5 January 2022
ISBN
10.2991/assehr.k.220101.001
ISSN
2352-5398
DOI
10.2991/assehr.k.220101.001How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - In’amul Mustofa
AU  - Suswanta Suswanta
AU  - Muchamad Zaenuri
PY  - 2022
DA  - 2022/01/05
TI  - Digital Civil Servant Recruitment Model
BT  - Proceedings of the 2nd International Conference on Social Science, Humanities, Education and Society Development (ICONS 2021)
PB  - Atlantis Press
SP  - 1
EP  - 7
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220101.001
DO  - 10.2991/assehr.k.220101.001
ID  - Mustofa2022
ER  -