A standard-based smart city assessment model has been developed in Indonesia by considering government services (urban services), regional characteristics, and community needs. The smart city assessment is carried out on these services by combining the indicators of SNI ISO 37122:2019 Sustainable cities and Communities - Indicators for Smart Cities. However, the supporting data for indicators of SNI ISO 37122:2019 may vary and its availability depends on the city governance. The purpose of this study is to identify supporting data for SNI ISO 37122: 2019 indicators through a review approach to the Regional Government Administration Report (LPPD). This research used a descriptive analysis method using secondary data (smart city standards, LPPD, and regulations related to regional government and minimum service standards). Based on the results shown that the identification of supporting data for SNI ISO 37122: 2019 indicators have not been fully implemented through the LPPD review approach. From the total supporting data needs of 44 data, only 19 data (43,18%) are available in Key Performance Indicators (IKK) LPPD for government services. Supporting data for the requirements of the SNI ISO 37122: 2019 indicator can be supplemented with data originating from relevant technical departments in the regions.
CITATION STYLE
Mulyono, A. B., Tampubolon, B. D., Isharyadi, F., Ayuningtyas, U., Purwanto, E. H., & Basuki, B. (2022). Identification of Indicator Data in SNI ISO 37122:2019 Supporting Smart City Maturity Assessment Model Development. In AIP Conference Proceedings (Vol. 2664). American Institute of Physics Inc. https://doi.org/10.1063/5.0109969
Mendeley helps you to discover research relevant for your work.