Digital Government Integrating System Combining the Data Complexity
| dc.contributor.author | Kasiwi, Aulia Nur | |
| dc.contributor.author | Mutiarin, Dyah | |
| dc.contributor.author | Kumorotomo, Wahyudi | |
| dc.contributor.author | Nurmandi, Achmad | |
| dc.contributor.author | Agustiyara, Agustiyara | |
| dc.date.accessioned | 2025-04-09T07:34:34Z | |
| dc.date.available | 2025-04-09T07:34:34Z | |
| dc.date.issued | 2023 | |
| dc.identifier.isbn | 978-303149214-3 | |
| dc.identifier.issn | 1865-0929 | |
| dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85180535595&origin=recordpage | |
| dc.description.abstract | Government applications and technologies enabled by cloud computing, mobile computing, and the Internet of Things have resulted in an increase in the volume of data that must be processed, stored, and transferred. The complexity of data centers can be difficult to comprehend, but comprehension is critical to their success. The investigation employs a qualitative approach, with graphs and tables visualized using the NVivo software tool, to detect the reconfiguration of each government actor involved in the implementation of the Electronic-Based Government System. To achieve an integrated and comprehensive Electronic-Based Government System (SPBE), Central Agencies and Local Governments must work together closely. Cloud computing enables data center infrastructure to be supplied in an adaptable, load-sensitive, and integrated manner. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Communications in Computer and Information Science | en_US |
| dc.subject | Data Complexion | en_US |
| dc.subject | Digital Government | en_US |
| dc.subject | Integrating System | en_US |
| dc.title | Digital Government Integrating System Combining the Data Complexity | en_US |
| dc.type | Other | en_US |
| dc.link.scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85180535595&origin=recordpage |