Arief, Assaf and Abbas, M. Yunus and Wahab, Iis Hamsir Ayub and Latif, Lita and Abdullah, Saiful Do and Sensuse, Dana Indra (2020) The Smart Islands Vision: Towards Smart City Readiness in Local Government of Archipelagos. In: International Conference on Science and Technology.
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Abstract
Today, the smart city has become a trend in the world and in the city's governments in Indonesia. The typical geographic condition of the city, municipality and district government in Indonesia is more directed to the governance of island governments that have own factors, challenges and opportunities. One of the visions of the archipelago's government is the Smart Islands vision, which is to make the islands become a smart city with connected islands, integrated, collaborations between stakeholders and improved public services with own local wisdom. However, the readiness level, the actual problems found in the existing conditions are not yet evaluated and measured. In this study, we conducted a smart city readiness assessment with the adoption of the Nusantara Smart Government Model (NS-GM), which was combined with the Model SPBE instrument on Presidential Regulation No. 95 on 2018 as the official regulation of the Indonesian government. We choose 2 case studies as an example of an archipelago's government in Indonesia, namely Ternate City and district's government of Southern Halmahera because the area has the criteria as a government of an island region that has a vision of smart islands. Smart cities readiness assessment results show that 2 case studies that are measured in readiness, are generally still in the pilot stage with values in the 2 towards 3 phase model that we used.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Dr iis hamsir ayub wahab |
| Date Deposited: | 12 Dec 2022 07:43 |
| Last Modified: | 12 Dec 2022 07:43 |
| URI: | http://repository.unkhair.ac.id/id/eprint/220 |
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