[Perkembangan Penggunaan Big Data pada Bidang Pertanian di Indonesia] : Review

Yagus Wijayanto, Ika Purnamasari, Suci Ristiana, Tri Wahyu Saputra, Arthur FC Regar

Sari


Sektor pertanian menghadapi banyak masalah, terutama di negara berkembang, dan masalah ini sangat membutuhkan solusi yang sangat tergantung pada kemanfaatan teknologi seperti data besar, mesin pertanian, dan inovasi modern lainnya. Tujuan review ini adalah mengkaji perkembangan penggunaan data besar dalam bidang pertanian di Indonesia, beberapa keunggulan dan kelemahan dan memberikan saran pengembangan penggunaan data besar di Indonesia. Hasil review lima aplikasi teknologi big data di Indonesia (HARA, E-Tani, Keraba Tani, KATAM dan Tandhur) menunjukkan bahwa aplikasi yang memanfaatkan big data tersebut masih dalam taraf awal pengembangan. Review ini memberikan rekomendasi aspek aspek yang secara potensial bisa dikembangkan.

Kata Kunci


big data; rekomendas; review

Teks Lengkap:

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Referensi


Bran, N and Galdava, E. Engaging Youth in Agriculture through Information and Communication Technologies, dalam https://www.usaid.gov/sites/default/files/documents/15396/Feed-the-Future-CaseStudy-Youth-Ag-ICT.pdf

Chen, Jia, Shouwu He, and Xiaoying Li. (2021) "A Study of Big Data Application in Agriculture." In Journal of Physics: Conference Series, vol. 1757, no. 1, p. 012107. IOP Publishing, 2021.

Coble, K. H., Mishra, A. K., Ferrell, S., & Griffin, T. (2018). Big Data in agriculture: a Challenge for the Future. Applied Economic Perspectives and Policy, 40(1), 79-96.

ES, H.V and WOODARD, J., Innovation in Agriculture and Food Systems in the Digital Age, dalam FAO. (2015). Climate Change and Food Security: Risks and Response. FAO 2015

Foundation NS. Core Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA) (NSF-12-499). (2012). https://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf12499 (Diakses Januari 2022).

Furht, B., & Villanustre, F. (2016). Big Data Technologies and Applications. doi: 10.1007/978-3-319-44550-2.

Gupta, G.S. (2019). Land Degradation and Challenges of Food Security dalam Review of European Studies, 11(1), 63-72

Klerkx, L., Jakku, E., & Labarthe, P. (2019). A Review of Social Science on Digital Agriculture, Smart Farming, and Agriculture 4.0: New Contributions and a Future Research Agenda. NJAS-Wageningen Journal of Life Sciences, 90, 100315.

Kustanti, E. (2021). Big Data Implementation for Agriculture Commodity Knowledge Management. Jurnal Pustakawan Indonesia, 20(1), 1-9.

Ly, R., Dia, K., & Diallo, M. (2021). Remote Sensing and Machine Learning for Food Crop Production Data in Africa Post-COVID-19. arXiv preprint arXiv:2108.10054.

Muangprathub, J., Boonnam, N., Kajornkasirat, S., Lekbangpong, N., & Wanichsombat, A. (2019). IoT and agriculture data analysis for smart farm Computers and Electronics in Agriculture. doi: 10.1016/j.compag.2018.12.011.

Ahmed, N., De, D., & Hussain, I. (2018). Internet of Things (IoT) for smart precision agriculture and farming in rural areas. IEEE Internet of Things Journal, 5(6), 4890-4899.

Jouanjean, M. A. (2019). Digital Opportunities for Trade in the Agriculture and Food Sectors.

Oussous, A., Benjelloun, F. Z., Lahcen, A. A., & Belfkih, S. (2018). Big Data technologies: A survey. Journal of King Saud University-Computer and Information Sciences, 30(4), 431-448.

Rachmawati, R. R. (2021). Smart Farming 4.0 Untuk Mewujudkan Pertanian Indonesia Maju, Mandiri, Dan Modern. In Forum Penelitian Agro Ekonomi (Vol. 38, No. 2, pp. 137-154).

Utuk, I. O., & Daniel, E. E. (2015). Land Degradation: A Threat to Food Security: A Global Assessment. J Environ Earth Sci, 5(8), 13-21.

Pham, X., & Stack, M. (2018). How Data Analytics is Transforming Agriculture. Business horizons, 61(1), 125-133.

Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2013). Data Mining with Big Data. IEEE transactions on knowledge and data engineering, 26(1), 97-107.


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