PEMANFAATAN BIG DATA PADA KONSEP SMART CITY : KAJIAN PUSTAKA

  • SRI KHAERAWATI NUR Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia
    (ID)

Abstract

Konsep mengelola kota dengan pemanfaatan Teknologi Informasi dan Komunikasi (TIK) yang saat ini dikenal dengan smart city. Pesatnya kemajuan teknologi menjadi tantangan pengelola kota untuk bertransformasi. Dibutuhkan solusi yang tepat untuk mendukung infrastruktur teknologi yang digunakan. Penggunan big data pada teknologi smart city merupakan salah satu cara yang dapat digunakan untuk menyelesaikan tantangan yang dihadapi. Big data dapat mengelola sumber daya secara efesien. Metode yang digunakan pada penelitian ini adalah sebuah kajian pustaka terkait pemanfaatan big data pada smart city. Penelitian ini menunjukkan beberapa model analitik yang sering digunakan dalam analisis big data pada smart city. Hal ini memungkinkan untuk solusi berbagai komponen di kota cerdas. Hasil penelitian ini menunjukkan potensi ataupun manfaat pada seluruh komponen smart city.

 

Kata kunci : Analytics, Big Data, Smart City, Teknologi Informasi

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Author Biography

SRI KHAERAWATI NUR, Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia
Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

References

Caragliu, A., Bo & Nijkamp, P. (2009). Smart cities in Europe, 45–59.

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.

Chen, T. M. (2010). Smart Grids, Smart Cities Need Better Networks, 2–3.

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/

Giffinger, R. (2007). Smart cities Ranking of European medium-sized cities. October, 16(October), 13–18.

Hall, R. E., Braverman, J., Taylor, J., & Todosow, H. (2000). The Vision of A Smart City. https://doi.org/10.1017/CBO9781107415324.004

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

Kataria, M., & Mittal, P. (2014). International Journal of Computer Science and Mobile Computing BIG DATA: A Review. International Journal of Computer Science and Mobile Computing, 3(7), 106–110.

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

Laney, D. (2001). Application Delivery Strategies from META Group. META Delta, 949(February 2001), 4. https://doi.org/10.1016/j.infsof.2008.09.005

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.

Manyika, J., Chui, M., B., B., Bughin, J., Dobbs, R., Roxburgh, C., & Hung Byers, A. (2011). Big data: The next frontier for innovation, competition and productivity.

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.

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.

Stanivlas, S., Bojic, I., & Belyi, A. (2015). Scaling of City Attractiveness for Foreign Visitors through Big Data of Human Economical and Social Media Activity Accessed Senseable City Lab : Massachusetts Institute of Technology

Supangat, S. H. (2018). Smart Province. https://doi.org/http://knsi2018.info/wp-content/uploads/2018/03/POWER-POINT-PROF.-SUHONO-SMART-PROVINCE.pdf

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.

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

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

Published
2020-01-18
Section
Volume 5, Nomor 1 April Tahun 2020
Abstract viewed = 3459 times