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People-Centric Smart City Services Measurement Using Garuda Smart City Framework
Nowadays, there is a paradigm shift in smart city development from technology-centric to people-centric. The aim is to serve people’s needs to improve their welfare and quality of life. Smart city service measurement needs to be developed to remain aligned with this paradigm. The aspects measured in this people-centric smart city service measurement include three aspects: smart city service functionality (related to its fulfillment of human life needs and level of intelligence), quality of life indicators, and citizen perception (on issues related to service clusters). Measurements were carried out in 30 participating cities including 7 large cities, 15 medium cities and 8 small cities. The respondents were the relevant bureaucracy in the local government. The measurement stages include planning, data collection, data processing, data analysis, and lastly interpretation and reporting. The combined results of all measurement aspects produce the highest score in the education cluster, then in the industry and small business cluster, and lastly in the urban planning cluster. This research can be used as a good basis for measuring smart city services in other clusters, or even comprehensively at the smart city level. The results of this research contribute insight and ideas for improving smart city services in Indonesia or even the world.
People-Centric Smart City Services Measurement Using Garuda Smart City Framework
Nowadays, there is a paradigm shift in smart city development from technology-centric to people-centric. The aim is to serve people’s needs to improve their welfare and quality of life. Smart city service measurement needs to be developed to remain aligned with this paradigm. The aspects measured in this people-centric smart city service measurement include three aspects: smart city service functionality (related to its fulfillment of human life needs and level of intelligence), quality of life indicators, and citizen perception (on issues related to service clusters). Measurements were carried out in 30 participating cities including 7 large cities, 15 medium cities and 8 small cities. The respondents were the relevant bureaucracy in the local government. The measurement stages include planning, data collection, data processing, data analysis, and lastly interpretation and reporting. The combined results of all measurement aspects produce the highest score in the education cluster, then in the industry and small business cluster, and lastly in the urban planning cluster. This research can be used as a good basis for measuring smart city services in other clusters, or even comprehensively at the smart city level. The results of this research contribute insight and ideas for improving smart city services in Indonesia or even the world.
People-Centric Smart City Services Measurement Using Garuda Smart City Framework
Santosa, Iqbal (author) / Supangkat, Suhono Harso (author) / Akhmad Arman, Arry (author)
2024-05-02
613927 byte
Conference paper
Electronic Resource
English
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