Please use this identifier to cite or link to this item: https://repositori.uma.ac.id/handle/123456789/31231
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dc.contributor.authorNasution, Chairika-
dc.contributor.authorBarlian, Noer Aisyah-
dc.contributor.authorKhaerani, Thalita Rifda-
dc.contributor.authorZulfikar, Dian Hafidh-
dc.contributor.authorYanti, Dewi-
dc.date.accessioned2026-09-11T04:20:10Z-
dc.date.available2026-09-11T04:20:10Z-
dc.date.issued2025-
dc.identifier.urihttps://repositori.uma.ac.id/handle/123456789/31231-
dc.description13 Halamanen_US
dc.description.abstractThe use of big data has become a key driver in smart city development in Southeast Asia, with Jakarta and Singapore serving as compelling examples of how to navigate the dynamics of modern urbanization. Both cities continue to address the complexities of urban governance through the use of data technology, despite facing distinct challenges in infrastructure, regulations, and community preparedness. The development of big data has also sparked debate about the extent to which this technology can ensure long-term sustainability and inclusiveness. This study aims to analyze the challenges and prospects of utilizing big data to support sustainable smart city management in Jakarta and Singapore. The research method used is a qualitative literature study, focusing on an in-depth review of academic publications, official government reports, and various policy documents related to big data and smart cities. A comparative analysis was conducted to understand the differences in context, strategy, and implementation across the two cities. The results show that Jakarta still faces significant challenges in infrastructure and public digital literacy, while Singapore is more systemically prepared but faces long-term sustainability issues. The differences in preparedness between the community and government in the two cities reflect variations in the technology adaptation process, which directly impacts the effectiveness of data management. On the other hand, the potential for utilizing big data is considered capable of creating a more inclusive smart city model if coupled with cross-sector collaboration and strengthened regulations. Cross-city learning also presents a significant potential for the Southeast Asian region to strengthen shared strategies for building more equitable and sustainable data-driven urban governance.en_US
dc.language.isoenen_US
dc.publisherLex Localis Journal of Self Governmenten_US
dc.subjectBig Dataen_US
dc.subjectSmart Citiesen_US
dc.subjectJakartaen_US
dc.subjectSingaporeen_US
dc.titleThe Role Of Big Data In Managing Smart Cities: Acomparative Study Of Jakarta And Singaporeen_US
dc.title.alternativePeran Big Data dalam Pengelolaan Kota Cerdas: Studi Komparatif Jakarta dan Singapuraen_US
dc.typeKarya Tulis Dosenen_US
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