| Title |
Measuring Smart Cities: Identification of Smart Society Indicators in Indonesia |
| ID_Doc |
38844 |
| Authors |
Pangestuti, DD; Susanto, TD; Trisunarno, L |
| Title |
Measuring Smart Cities: Identification of Smart Society Indicators in Indonesia |
| Year |
2021 |
| Published |
|
| DOI |
10.1109/IEEM50564.2021.9672779 |
| Abstract |
In building Smart City in urban and village supported by information and communication technology and also government or commonly called e-Government. In recent years, there has been a drastic increase in the complexity of the internet, digitization and Artificial intelligence [24]. In the utilization of ICT technology in the region in Indonesia, there are many benefits of technology have positive impacts on Indonesian society. In one dimension Smart City is smart society that depends on human resources owned. In measuring the success of smart society in the smart city, variables and supporting indicators are required. This research aims to identify the variables and indicators of the smart society in the smart city, especially the intelligent technology that becomes the Smart City enabler dimension. Qualitative methods through literature studies, interviews or focus group discussion (FGD). Researchers found of these informants and papers are 4 variables are prioritized in smart society position in smart city concept. The four variables found were community, learning, security, and creativity. |
| Author Keywords |
Smart City; Smart Society; Qualitative Method; Indicator |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000821855600240 |
| WoS Category |
Engineering, Industrial; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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