Implementasi Business Intellegence untuk Menganalisis Hasil Panen dan Produktivitas Padi di Indonesia Menggunakan Tableu
Keywords:
business intelligence, tableau, riceAbstract
Indonesia is an agricultural country where the majority of the population works in agriculture. Agriculture has an important role in Indonesia in developing the local economy as well as meeting basic human needs. One of Indonesia's largest agricultural products is rice. During the process of collecting data on agricultural products, especially rice, with a large amount of recorded data such as harvested area and annual productivity, it can cause errors in compiling information for the analysis process as well as for evaluation by the ministry of agriculture. Thus, the purpose of this research is to find out how much the harvested area and productivity of rice harvests in Indonesia have increased or decreased. The method used in this article is to process a dataset of harvested area, production, and productivity of rice by province in Indonesia from www.bps.go.id using Tableau. The results of this article are a visualization of a dataset of harvested area and rice productivity by province in Indonesia that can be used for policy making by the ministry of agriculture.
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References
R. J. Sahri et al., “Tanaman Pangan Sebagai Sumber Pendapatan Petani Di Kabupaten Karo,” J. Inf. Penelit., vol. 2, no. 10, pp. 3223– 3230, 2022.
Mergono Adi Ningrat, Carolina Diana Mual, and Yohanis Yan Makabori, “Pertumbuhan dan Hasil Tanaman Padi (Oryza sativa L.) pada Berbagai Sistem Tanam di Kampung Desay, Distrik Prafi, Kabupaten Manokwari,” Pros. Semin. Nas. Pembang. dan Pendidik. Vokasi Pertan., vol. 2, no. 1, pp. 325–332, 2021, doi: 10.47687/snppvp.v2i1.191.
F. N. Hasan, “Implementasi Sistem Business Intelligence Untuk Data Penelitian di Perguruan Tinggi,” Pros. Semin. Nas. Teknoka, vol. 4, no. 2502, pp. I1–I10, 2019, doi: 10.22236/teknoka.v4i1.3943.
P. Afikah, I. R. Affandi, and F. N. Hasan, “Implementasi Business Intelligence Untuk Menganalisis Data Kasus Virus Corona di Indonesia Menggunakan Platform Tableau,” Pseudocode, vol. 9, no. 1, pp. 25–32, 2022, doi: 10.33369/pseudocode.9.1.25-32.
E. Marvaro and R. Sefina Samosir, “Penerapan Business Intelligence dan Visualisasi Informasi di CV. Mitra Makmur Dengan Menggunakan Dashboard Tableau,” KALBISCIENTIA J. Sains dan Teknol., vol. 8, no. 2, pp. 37–46, 2021, doi: 10.53008/kalbiscientia.v8i2.197.
A. L. Antunes, E. Cardoso, and J. Barateiro, “Incorporation of Ontologies in Data Warehouse/Business Intelligence Systems - A
Systematic Literature Review,” Int. J. Inf. Manag. Data Insights, vol. 2, no. 2, 2022, doi: 10.1016/j.jjimei.2022.100131.
D. Delen and S. Ram, “Research challenges and opportunities in business analytics,” J. Bus. Anal., vol. 1, no. 1, pp. 2–12, 2018, doi: 10.1080/2573234X.2018.1507324.
Vidgen, R., Hindle, G., & Randolph, I. (2020). Exploring the ethical implications of business analytics with a business ethics canvas. European Journal of Operational Research, 281(3),491–501. https://doi.org/10.1016/J.EJOR.2019.04.036
L. Beard and N. Aghassibake, “Tableau (version 2020.3),” J. Med. Libr. Assoc., vol. 109, no. 1, pp. 2020–2022, 2021, doi: 10.5195/jmla.2021.1135.
S. Haymond, “Create laboratory business intelligence dashboards for free using R: A tutorial using the flexdashboard package,” J. Mass Spectrom. Adv. Clin. Lab, vol. 23, no. July 2021, pp. 39–43, 2022, doi: 10.1016/j.jmsacl.2021.12.002.
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