TY - JOUR
T1 - Smart Technologies, Artificial Intelligence, Robotics, and Algorithms (STARA) competencies during COVID-19
T2 - Universitas Riau International Conference on Science and Environment 2021, URICSE 2021
AU - Yudiatmaja, Wayu Eko
AU - Salomo, Roy Valiant
AU - Prasojo, Eko
N1 - Funding Information:
This paper is based on a partial part of the first author's doctoral thesis at the Faculty of Administrative Sciences, Universitas Indonesia. The research is financially supported by the Institute of Research, Community Service, and Quality Assurance (LP3M) of Universitas Maritim Raja Ali Haji through Grant No. 02/UN53.02/Kontrak-PADD/2021.
Publisher Copyright:
© 2021 Institute of Physics Publishing. All rights reserved.
PY - 2021/10/25
Y1 - 2021/10/25
N2 - Public sector organisations have changed to be online offices and services while the COVID-19 outbreak attacked. The transformations also shift not only the paradigm but also the working methods of public sectors into an online system requiring a capacity to use smart technologies, artificial intelligence, robotics, and algorithms (STARA). Nevertheless, the research on the issue is still rare. This paper bridging the gap by analysing a confirmatory factor of STARA competencies of public employees during COVID-19 pandemic in Indonesia. We tested twelve items that relied on STARA competencies. The research used a survey method on 305 public servants in the Province of Special Region of Jakarta. A structural equation modelling (SEM) was utilised to assess the data. An SEM analysis suggests that the twelve indicators are valid and reliable in predicting STARA competencies' constructs. Our findings may be used by the subsequent researchers in examining STARA competencies.
AB - Public sector organisations have changed to be online offices and services while the COVID-19 outbreak attacked. The transformations also shift not only the paradigm but also the working methods of public sectors into an online system requiring a capacity to use smart technologies, artificial intelligence, robotics, and algorithms (STARA). Nevertheless, the research on the issue is still rare. This paper bridging the gap by analysing a confirmatory factor of STARA competencies of public employees during COVID-19 pandemic in Indonesia. We tested twelve items that relied on STARA competencies. The research used a survey method on 305 public servants in the Province of Special Region of Jakarta. A structural equation modelling (SEM) was utilised to assess the data. An SEM analysis suggests that the twelve indicators are valid and reliable in predicting STARA competencies' constructs. Our findings may be used by the subsequent researchers in examining STARA competencies.
UR - http://www.scopus.com/inward/record.url?scp=85119268619&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2049/1/012014
DO - 10.1088/1742-6596/2049/1/012014
M3 - Conference article
AN - SCOPUS:85119268619
SN - 1742-6588
VL - 2049
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012014
Y2 - 11 September 2021
ER -