Proceedings of the International Conference on Public Organization (ICONPO 2021)

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Artificial Intelligence in Realizing Smart City through City Operation Center

Authors
Irfandi Pratama1, *, Suswanta Suswanta2
1Student of Master’s Program of Government Affairs and Administration, Universitas Muhammadiyah Yogyakarta, Indonesia
2Lecturer of Master’s Program of Government Affairs and Administration, Universitas Muhammadiyah Yogyakarta, Indonesia
*Corresponding author. Email: irfandipratama1998@gmail.com
Corresponding Author
Irfandi Pratama
Available Online 1 March 2022.
DOI
10.2991/aebmr.k.220209.008How to use a DOI?
Keywords
Smart City; Artificial Intelligence; City Operation Center; Government
Abstract

The presence of technology in life provides the convenience of information for the community. The tendency to integrate data in life brings forth a smart city concept which is a big issue globally. In theory, a smart city develops and manages a city by leveraging information technology to more effectively and efficiently connect, monitor, and regulate existing resources inside the city to maximize services to its residents and support sustainable growth. Artificial Intelligence (AI) can be a solution in public services to realize bureaucratic reform to be more effective, active, and efficient. The Jambi Municipal Government is among the pioneers in implementing smart cities and AI in public services. AI-related findings related to public services are 15 applications and websites integrated with the Jambi City Operation Center (JCOC) as a control room to monitor activities in Jambi City for 24 hours. Thus Jambi Municipal Government is able to respond to community needs more quickly, with SIKESAL as a complaint application. The SIKOJA application provides various services such as correspondence, hospital locations, and traffic CCTV. Regarding smart mobility, Jambi City applies an integrated Area Traffic Control System (ATCS) to conduct Electronic Traffic Law Enforcement (E-TLE. This study employed descriptive qualitative, in which the data were obtained from websites, government service applications, mayor’s social media, report documents, and journalism related to the research topic. The obtained data were then analyzed using the Nvivo 12 plus data processing application.

Copyright
© 2022 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 Public Organization (ICONPO 2021)
Series
Advances in Economics, Business and Management Research
Publication Date
1 March 2022
ISBN
10.2991/aebmr.k.220209.008
ISSN
2352-5428
DOI
10.2991/aebmr.k.220209.008How to use a DOI?
Copyright
© 2022 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

risenwbib
TY  - CONF
AU  - Irfandi Pratama
AU  - Suswanta Suswanta
PY  - 2022
DA  - 2022/03/01
TI  - Artificial Intelligence in Realizing Smart City through City Operation Center
BT  - Proceedings of the International Conference on Public Organization (ICONPO 2021)
PB  - Atlantis Press
SP  - 53
EP  - 60
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220209.008
DO  - 10.2991/aebmr.k.220209.008
ID  - Pratama2022
ER  -