Big Data Pada Smart City : Konsep dan Manfaat

Vhania Mutiara Sinaga

Abstract

Smart cities emerge as demands for the development of cities that are livable, controlled and easily accessible. The purpose of this writing is to explain the concept and benefits of big data in implementing smart cities. Through a literature review, the smart city concept takes the form of city development and management by utilizing information and communication technology as a link, monitoring and controlling a city's resources effectively and efficiently. In addition, big data with the main characteristics of volume, velocity and variety is identified as a wealth of information that can improve decision making and overcome the challenges of data integration in the smart city concept. Thus, the importance of using big data in smart cities can be seen in solving environmental problems in city development. By understanding and knowing the concepts and benefits of big data in smart cities, a city government can adopt concepts and examples of the use of big data in smart city components in accordance with the culture and conditions of its people in order to improve city performance and make public services more feasible in realizing sustainable development.

Keywords

big data, smart city, data integration, sustainable development

Full Text:

PDF

References

Al Nuaimi, E., Al Neyadi, H., Mohamed, N., & Al-Jaroodi, J. (2015). Applications of big data to smart cities. Journal of Internet Services and Applications, 6(1), 1–15. https://doi.org/10.1186/s13174-015-0041-5

Chen, M., Ma, Y., Song, J., Lai, C. F., & Hu, B. (2016). Smart clothing: Connecting human with clouds and big data for sustainable health monitoring. Mobile Networks and Applications, 21(5), 825–845.

El, M., Conoras, B., Hikmawati, N. K., Dewan, ), Informasi, T., Komunikasi, D., Papua, P., & Apikom -Amikom, P. (2018). Smart city peluang dan tantangan untuk Papua bangkit, mandiri, dan sejahtera. Konferensi Nasional Sistem Informasi, 399–404.

Fujimura K; Ogata, H; Okubo, F; Shimada, A; Yamada, M; Yin, C;, N. K. (2014). Smart phone based data collecting system for analyzing learning behaviors. 575–577.

Gartner. (n.d.). What Is big data? - Gartner IT Glossary - Big Data. Retrieved January 2, 2019, from https://www.gartner.com/it-glossary/big-data/

Hassanain, E., Rahman, M. A., Alhamid, M. F., Hossain, M. S., Guizani, M., & Rashid, M. M. (2019). Blockchain and iot-based cognitive edge framework for sharing economy services in a smart city. IEEE Access, PP(c), 1–1. https://doi.org/10.1109/access.2019.2896065

Istepanian, R. S. H., & Al-Anzi, T. (2018). m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics. Methods, 151(May), 34–40. https://doi.org/10.1016/j.ymeth.2018.05.015

Kim, B. G., Trimi, S., & Chung, J. (2014). Big data application in government sector. https://doi.org/10.1145/2500873

Li, Y., Zhao, L., Yu, Z., & Wang, S. (2017). Traffic flow prediction with big data : A learning approach based on sis-complex networks, 16(2), 550–554.

Manshur, A. (2021). Satu data, big data dan analitika data: Urgensi pelembagaan, pembiasaan dan pembudayaan. Bappenas Working Papers, 4(1), 30–46. https://doi.org/10.47266/bwp.v4i1.82

McAfee, A. and Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review. 90(10). pp.60-68.

Mehmood, R., & Graham, G. (2015). Big data logistics: A health-care transport capacity sharing model. Procedia Computer Science, 64, 1107–1114.

Niu, X., Zhu, Y., Cao, Q., Zhang, X., Xie, W., & Zheng, K. (2015). An online-traffic- Prediction based route finding mechanism for smart city. International Journal of Distributed Sensor Networks, 2015

Nur, S. K. (2020). Pemanfaatan big data pada konsep: Kajian pustaka. Jurnal Instek Informatika Sains Dan Teknologi, 5(1), 27–36.

Porter, M.E. and Heppelmann, J.E. (2014). How smart, connected products are transforming competition. Harvard Business Review. 92(11). pp. 64-88.

Roessobiyatno, Anggoro, T. P., Nainggolan, B., & Purwandesi, E. (2016). Social media analysis supporting smart city implementation (Practical study in Bandung district). 2016 International Conference on ICT for Smart Society, ICISS 2016, (July), 80–86. https://doi.org/10.1109/ICTSS.2016.7792853

Shao, F., & Yao, J. (2018). The establishment of data analysis model about e- commerce's behavior based on hadoop platform. Proceedings - 3rd International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2018, 2018–Janua, 436–439.

Sirait, E. R. E. (2016). Implementasi teknologi big data di lembaga pemerintahan Indonesia. Jurnal Penelitian Pos Dan Informatika, 6(2), 113. https://doi.org/10.17933/jppi.2016.060201

Stanivlas, S., Bojic, I., & Belyi, A. (2015). Scaling of city attractiveness for foreignvisitors through big data of human economical and social media activity accessed senseable city lab : Massachusetts Institute of Technology

Susanti, R. (2021). Industri 4.0 dan implementasi smart city di Indonesia. In Revolusi industri 4.0 - Perspektif teknologi, manajemen, dan edukasi (pp. 130–158).

Wang, Y., Ram, S., Currim, F., Dantas, E., & Sabóia, L. A. (2016). A big data approach for smart transportation management on bus network. IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings, 0–5. https://doi.org/10.1109/ISC2.2016.7580839

Wu, Y., Zhang, W., Shen, J., Mo, Z., & Peng, Y. (2018). Smart city with Chinese characteristics against the background of big data : Idea , action and risk The increase of Chinese urban population

Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65.

Yanchun, L., & Lin, L. (2017). The optimization design of pro-poor tourism information system in sichuan area with introduction of big data analysis. Proceedings - 2016 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2016, 3, 482–485.

Yang, C., Su, G., & Chen, J. (2017). Using big data to enhance crisis response and disaster resilience for a smart city. 2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017, 504–507.

Yin, C. T., Xiong, Z., Chen, H., Wang, J. Y., Cooper, D., & David, B. (2015). A literature survey on smart cities. Science China Information Sciences, 58(10), 1–18. https://doi.org/10.1007/s11432-015-5397-4

Zhou, K., Fu, C., & Yang, S. (2016). Big data driven smart energy management: From big data to big insights. Renewable and Sustainable Energy Reviews, 56(2016), 215–225. https://doi.org/10.1016/j.rser.2015.11.050

Zikopoulos, P. Eaton, C. de Roos, D. Deutsch, T. Lapis, G. (2012). Understanding big data: Analytics for enterprise class hadoop and streaming data. New York. McGrawHill.

Zook, M. (2017). Crowd-sourcing the smart city: Using big geosocial media metrics in urban governance. Big Data & Society, 4(1), 205395171769438. https://doi.org/10.1177/2053951717694384

DOI: https://doi.org/10.5281/zenodo.10408647

Refbacks

  • There are currently no refbacks.