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Unlocking the Power of Big Data

Digital Transformation of Public Policy in DPRD Dki Jakarta

Bibliographic Data

ID21848598
AuthorsIlham Gemiharto (0009-0009-3350-5527, Padjadjaran University, corresponding author)
Year2023
Volume16
Issue2
Pages336-353
Publication date2023-12-15
Open AccessYes
TypeARTICLE
VenueProfetik Jurnal Komunikasi (JOURNAL)
Journal identifiersISSN: 1979-2522 • E-ISSN: 2549-0168
PublisherAl-Jamiah Research Centre (PUBLISHER)
DOI10.14421/pjk.v16i2.2631
OpenAlexW4390236817
LanguageEN
References cited2

This research delves into the prospects and obstacles associated with utilizing large-scale data in developing public policies within the Indonesian context. Integrating big data technology holds promise as a tool for government agencies aiming to refine the public policy formulation process, ultimately providing enhanced services to the populace. Despite its inherent complexity and costliness, incorporating big data offers the government a means to furnish the most up-to-date, precise, and granular information pertinent to developmental issues. For instance, in the agricultural sector, big data can offer an intricate understanding of the diverse requirements of farmers in distinct regions, such as the differentiation between rice varieties sought by farmers in Kalimantan compared to those in Java. Furthermore, the expansive reservoirs of geophysical and meteorological big data hold the capacity to significantly bolster the government's initiatives concerning natural disaster mitigation policies. Nonetheless, the practical integration of big data still needs to be improved by a dearth of comprehensive regulations governing its application. Additionally, the perils of recurrent data breaches in the Indonesian context pose a formidable challenge. This comprehensive analysis concludes that using big data in policy formulation within Indonesia encounters substantial hurdles that threaten to overshadow the potential advantages this technology could offer in enhancing public policy crafting

Big data · Business · Economic growth · Economics · Expansive · Geography · Indonesian · Political science · Public policy · Computer Science · Data Mining and Machine Learning Applications · Information Retrieval and Data Mining · SMEs Development and Digital Marketing

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