MAPPING E-LEARNING RESEARCH TRENDS IN THE DIGITAL ERA: A BIBLIOMETRIC APPROACH WITH POP AND VOSVIEWER
DOI:
https://doi.org/10.23960/jrl.v4i3.71Abstract
Penelitian ini bertujuan untuk memetakan tren dan lanskap penelitian e-learning di era digital, yang relevansinya meningkat pesat akibat transformasi pendidikan. Dengan menganalisis data publikasi dari basis data ilmiah seperti Scopus atau Web of Science menggunakan perangkat lunak bibliometrik Publish or Perish (PoP) dan VOSviewer, studi ini akan mengidentifikasi tren volume publikasi, kontributor utama (penulis, institusi, negara), jurnal berpengaruh, serta tema-tema penelitian yang menonjol dan pola kolaborasi. Hasil yang diantisipasi mencakup peningkatan eksponensial publikasi, kontribusi global yang beragam, pergeseran tema menuju pedagogi digital dan AI dalam pendidikan, serta jaringan kolaborasi yang erat. Melalui pemetaan sistematis ini, penelitian ini diharapkan dapat memberikan wawasan strategis bagi peneliti untuk mengidentifikasi area menjanjikan, menemukan potensi kolaborator, dan bagi pembuat kebijakan serta praktisi untuk mendukung pengembangan inovasi e- learning di era digital.
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-, P. H., Utami, S. B., & Karlina, N. (2022). Analisis Bibliometrik: Perkembangan Penelitian Dan Publikasi Mengenai Koordinasi Program Menggunakan Vosviewer. Jurnal Pustaka Budaya, 9(1), 1–8. https://doi.org/10.31849/pb.v9i1.8599
Ahmed, N. (2018). Internet of Things (IoT) for Smart Precision Agriculture and Farming in Rural Areas. IEEE Internet of Things Journal, 5(6), 4890–4899. https://doi.org/10.1109/JIOT.2018.2879579
Alves, R. G. (2023). Development of a Digital Twin for smart farming: Irrigation management system for water saving. Journal of Cleaner Production, 388. https://doi.org/10.1016/j.jclepro.2023.135920
Friha, O. (2021). Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies. In IEEE Caa Journal of Automatica Sinica
(Vol. 8, Issue 4, pp. 718–752).
https://doi.org/10.1109/JAS.2021.1003925
Gowda, D. V. (2021). Smart Agriculture and Smart Farming using IoT Technology. In Journal of Physics Conference Series (Vol. 2089, Issue 1). https://doi.org/10.1088/1742-
/2089/1/012038
Javaid, M. (2022). Enhancing smart farming through the applications of Agriculture 4.0 technologies. International Journal of Intelligent Networks, 3, 150–164.
https://doi.org/10.1016/j.ijin.2022.09.004
Klerkx, L. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. In Njas Wageningen Journal of Life Sciences (Vol. 90). https://doi.org/10.1016/j.njas.2019.100315
Kularbphettong, K. (2019). An Automated Hydroponics System Based on Mobile Application. International Journal of Information and Education Technology, 9(8), 548–552. https://doi.org/10.18178/ijiet.2019.9.8.1264
Leduc, G. (2021). Innovative blockchain-based farming marketplace and smart contract performance evaluation. Journal of Cleaner Production, 306. https://doi.org/10.1016/j.jclepro.2021.127055
Liu, L. (2023). Ultra-high output hybrid nanogenerator for self- powered smart mariculture monitoring and warning system. Chemical Engineering Journal, 472.
https://doi.org/10.1016/j.cej.2023.145039
Madushanki, A. A. R. (2019). Adoption of the Internet of Things (IoT) in agriculture and smart farming towards urban greening: A review. International Journal of Advanced Computer Science and Applications, 10(4), 11–28. https://doi.org/10.14569/ijacsa.2019.0100402
Oh, S. (2023). Vertical farming - smart urban agriculture for enhancing resilience and sustainability in food security. In Journal of Horticultural Science and Biotechnology
(Vol. 98, Issue 2, pp. 133–140).
https://doi.org/10.1080/14620316.2022.2141666
Ray, P. P. (2017). Internet of things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9(4),
–420. https://doi.org/10.3233/AIS-170440
Rayhana, R. (2020). Internet of Things Empowered Smart Greenhouse Farming. IEEE Journal of Radio Frequency Identification, 4(3), 195–211.
https://doi.org/10.1109/JRFID.2020.2984391
Subashini, M. M. (2018). Internet of things based wireless plant sensor for smart farming. Indonesian Journal of Electrical
Engineering and Computer Science, 10(2), 456–468. https://doi.org/10.11591/ijeecs.v10.i2.pp456-468
Venkataramanan, C. (2021). LWBA: Levy-walk bat algorithm based data prediction for precision agriculture in wireless
sensor networks. Journal of Intelligent and Fuzzy
Systems, 41(2), 2891–2904. https://doi.org/10.3233/JIFS-20295
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