Open Access
Issue
E3S Web Conf.
Volume 448, 2023
The 8th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2023)
Article Number 02018
Number of page(s) 7
Section Information System
DOI https://doi.org/10.1051/e3sconf/202344802018
Published online 17 November 2023
  1. Undang-Undang Republik Indonesia Nomor 20 Tahun, “Undang-Undang Republik Indonesia Nomor 20 Tahun 2008,” no. 1, 2008. [Google Scholar]
  2. F. Taghizadeh-Hesary, H. Phoumin, and E. Rasoulinezhad, “COVID-19 and regional solutions for mitigating the risk of SME finance in selected ASEAN member states,” Econ. Anal. Policy, vol. 74, pp. 506–525, 2022, doi: 10.1016/j.eap.2022.03.012. [CrossRef] [Google Scholar]
  3. PERATURAN MENTERI PERTAHANAN REPUBLIK INDONESIA, “Berita Negara,” Menteri Kesehat. Republik Indones. Peratur. Menteri Kesehat. Republik Indones., vol. 69, no. 555, pp. 1–53, 2020. [Google Scholar]
  4. “Provinsi Jawa Timur Dalam Angka Tahun 2022,” BPS Provinsi Jawa Timur, [Online]. Available: https://www.ptonline.com/articles/how-to-get-better-mfi-results [Google Scholar]
  5. K. Rijswijk et al., “Digital transformation of agriculture and rural areas: A socio-cyber-physical system framework to support responsibilisation,” J. Rural Stud., vol. 85, no. August 2020, pp. 79–90, 2021, doi: 10.1016/j.jrurstud.2021.05.003. [CrossRef] [Google Scholar]
  6. Z. Yang, J. Chang, L. Huang, and A. Mardani, “Digital transformation solutions of entrepreneurial SMEs based on an information error-driven T-spherical fuzzy cloud algorithm,” Int. J. Inf. Manage., vol. 69, no. December 2020, p. 102384, 2023, doi: 10.1016/j.ijinfomgt.2021.102384. [CrossRef] [Google Scholar]
  7. A. Belorkar, Interactive Data Visualization with Python - Second Edition. 2020. [Google Scholar]
  8. A. M. Hilal, H. Alsolai, F. N. Al-Wesabi, M. A. Al-Hagery, M. A. Hamza, and M. Al Duhayyim, “Artificial intelligence based optimal functional link neural network for financial data Science,” Comput. Mater. Contin., vol. 70, no. 3, pp. 6289–6304, 2022, doi: 10.32604/cmc.2022.021522. [Google Scholar]
  9. T. Lv, J. Zhang, and Y. Chen, “Research and application on storage and visualization of big data in manufacturing,” AIP Conf. Proc., vol. 2185, no. December, 2019, doi: 10.1063/1.5137848. [Google Scholar]
  10. D. Hwang and S. Do Noh, “3D Visualization System of Manufacturing Big Data and Simulation Results of Production for an Automotive Parts Supplier,” IFIP Adv. Inf. Commun. Technol., vol. 567, pp. 381–386, 2019, doi: 10.1007/978-3-030-29996-5_44. [Google Scholar]
  11. H. Ahyar et al., Buku Metode Penelitian Kualitatif & Kuantitatif, no. March. 2020. [Google Scholar]
  12. R. Chang, C. Ziemkiewicz, T. M. Green, and W. Ribarsky, “Defining insight for visual analytics,” IEEE Comput. Graph. Appl., vol. 29, no. 2, pp. 14–17, 2009, doi: 10.1109/MCG.2009.22. [CrossRef] [Google Scholar]
  13. J. Lu, L. Cairns, and L. Smith, “Data science in the business environment: customer analytics case studies in SMEs,” J. Model. Manag., vol. 16, no. 2, pp. 689–713, 2020, doi: 10.1108/JM2-11-2019-0274. [Google Scholar]
  14. S. García, J. Luengo, and F. Herrera, Instance selection, vol. 72. 2015. doi: 10.1007/978-3-319-10247-4_8. [Google Scholar]
  15. J. Grobelny and R. Michalski, “Effects of scatter plot initial solutions on regular grid facility layout algorithms in typical production models,” Cent. Eur. J. Oper. Res., vol. 28, no. 2, pp. 601–632, 2020, doi: 10.1007/s10100-019-00632-1. [CrossRef] [Google Scholar]

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