| Issue |
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
|
|
|---|---|---|
| Article Number | 04022 | |
| Number of page(s) | 4 | |
| Section | Information System, Big Data, Design Application, IOT | |
| DOI | https://doi.org/10.1051/e3sconf/202132804022 | |
| Published online | 06 December 2021 | |
Studi On Big Data Analytics Framework in Smart City Context
Smart City Islands Research Group Laboratory of Faculty of Engineering, Universitas Khairun, Ternate, Indonesia
* Corresponding author : dinda26kc@gmail.com
The issue of global urbanization, which is a separate problem faced by the government, is the very rapid growth of population density in cities. To face this challenge, the government launched a smart city project by targeting sustainable economic growth and improving the quality of life. Information and Communication Technology governance is the key to realizing a smart city. However, each of these I.C.T. tools produce large amounts of data known as Big Data. Data processing with the Big Data approach is becoming a trend in information systems to provide better public services and provide references in the policy-making process. However, to obtain important information in the scope of big data, a Big Data Analytics process is needed, also known as Big Data Value Chain. Extracting knowledge from the related literature can identify the characteristics of the big data analytic framework for smart cities. This paper reviews several big data analytic frameworks applied to smart cities. This paper is to find the advantages and disadvantages of each framework so that it can be a direction for future research
Key words: Big Data Analytic / Framework / Smart City / Big Data Value Chain
© The Authors, published by EDP Sciences, 2021
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