Pemetaan Riset Teknologi 5G [5G Technology Research Mapping]

Awangga Febian Surya Admaja

Abstract


This study aims to provide an overview of how the 5G technology study evolved from the range of 2013 to 2017. The publication mapping is expected to illustrate the next step in determining the contribution of 5G technology. The mapping is done by taking online databases from a source, in this study using a Scopus database. The obtained databases are sorted based on predetermined keywords then the results are visualized in accordance with the relationship of each data. The results are elaborated qualitatively by looking at the level of contributions, the number of citation collaborations of authors, and so on. Based on the keywords processing, Massive MIMO is the most widely chosen topic in doing research, although according to the telecommunication industry perspective in Indonesia, it is challenging to adopt due to various limitations.

 *****

Kajian ini bertujuan untuk memberikan gambaran bagaimana kajian teknologi 5G berkembang dari rentang tahun 2013 sampai dengan tahun 2017. Pemetaan tersebut diharapkan dapat memberi gambaran langkah ke depan dalam menentukan kontribusi di teknologi 5G. Pemetaan dilakukan dengan cara mengambil basis data online dari salah satu sumber, dalam kajian ini menggunakan basis data Scopus. Data tersebut di-query berdasarkan kebutuhan antar data dan hubungan dari masing-masing data tersebut divisualisasikan. Hasil tersebut dijabarkan secara kualitatif dengan melihat tingkat kontribusi, jumlah sitasi kolaborasi penulis, dan sebagainya. Berdasarkan pengolahan kata kunci, Massive MIMO merupakan topik yang paling banyak dipilih dalam melakukan riset, meskipun dari sudut pandang industri telekomunikasi di Indonesia hal ini sangat susah diadopsi karena berbagai keterbatasan.


Full Text:

PDF

References


Bogale, T. E., Le, L. B., & Member, S. (n.d.). Massive MIMO and Millimeter Wave for 5G Wireless HetNet : Potentials and Challenges.

Eric T. Meyer. (n.d.). What is Bibliometrics and Scientometrics? | TIDSR: Toolkit for the Impact of Digitised Scholarly Resources. Retrieved December 7, 2017, from http://microsites.oii.ox.ac.uk/tidsr/kb/48/what-bibliometrics-and-scientometrics

Felita, C., & Suryanegara, M. (2013). 5G key technologies: Identifying innovation opportunity. In 2013 International Conference on QiR (pp. 235–238). IEEE. http://doi.org/10.1109/QiR.2013.6632571

Ge, X., Yang, J., Gharavi, H., & Sun, Y. (2017). Energy Efficiency Challenges of 5G Small Cell Networks, (May), 184–191.

Hamadicharef, B., Fischl, B. R., & Nichols, T. E. (2010). Scientometric Study of the Journal NeuroImage 1992 – 2009, 201–204. http://doi.org/10.1109/WISM.2010.166

Heilig, L., & Vob, S. (2014). A Scientometric Analysis of Cloud Computing Literature. IEEE Transactions on Cloud Computing, 2(3), 266–278. http://doi.org/10.1109/TCC.2014.2321168

Leydesdorff, L., & Milojević, S. (2015). Scientometrics. International Encyclopedia of the Social & Behavioral Sciences (Second Edition), 322–327. http://doi.org/http://dx.doi.org/10.1016/B978-0-08-097086-8.85030-8

MediaLab. (n.d.). ScienceScape. Retrieved December 7, 2017, from http://tools.medialab.sciences-po.fr/sciencescape/index.php

PRICE, D. J. (1965). NETWORKS OF SCIENTIFIC PAPERS. Science (New York, N.Y.), 149(3683), 510–5. http://doi.org/10.1126/SCIENCE.149.3683.510

Santhanakarthikeyan, S., Padma, P., Veeramani, M., & Ravikrishnan, D. (2013). Scientometrics Study on Web : Tools and Techniques, 4(March), 40–45.

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. http://doi.org/10.1007/s11192-009-0146-3




DOI: http://dx.doi.org/10.17933/bpostel.2018.160103

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


Published by R&D Center for Post and Informatics, MCIT, Indonesia. Powered by OJS