Pelaksanaan Inovasi Daerah di Bidang Pelayanan dimasa Pandemi Covid-19

Ruli Deswanto* -  Universitas Muhammadiyah Buton, Indonesia
Karman Karman -  Universitas Muhammadiyah Buton, Indonesia
Sri Adhi Ningsi -  Universitas Muhammadiyah Buton, Indonesia
Anwar Sadat -  Universitas Muhammadiyah Buton, Indonesia
Indonesian society does not take for granted modern information technology that was not even accessible a few decades ago. During this pandemic, Artificial Intelligence (AI) models and innovations are very much needed, during quiet times it is now very necessary to deal with the COVID-19 pandemic. Now there are a variety of digital technologies that can be used to add to and improve work, learning and public health strategies. During the COVID-19 pandemic, technology plays an important role in keeping community activities functioning during Large-Scale Social Restrictions (PSBB). The purpose of this study report is to find out how the public uses Artificial Intelligence (AI) as a medium to continue activities that cannot be done face-to-face and technology that can be used for medical activities during the COVID-19 pandemic. This research method is described in a descriptive qualitative manner. The author uses observational data collection techniques. The results obtained from this study, the community uses Artificial Intelligence for Work From Home, School From Home activities and information for medical purposes. It can be concluded that the community uses Artificial Intelligence to continue carrying out activities because the facilities and features of information and communication technology have advantages and are easy to use by various groups of people.
  1. Ahmad, T. (2020). Corona Virus (COVID-19) Pandemic and Work from Home: Challenges of Cybercrimes and Cybersecurity. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3568830.
  2. Anih, E. (2016). Modernisasi Pembelajaran di Perguruan Tinggi Berbasis Teknologi Informasi dan Komunikasi. Jurnal Pendidikan Unsika, 7(1), 185–196.
  3. Haris Budiman. (2014). Peran Teknologi Informasi Dan Komunikasi Dalam Pendidikan. Al-Tadzkiyyah: Jurnal Pendidikan Islam, 8(I), 31–43.
  4. Ismail, D. F. T. (2015). Dinamika AS dengan RRC Dalam Persaingan untuk Kepemimpinan Global di Bidang Artificial Intelligence tahun 2016-2019 Dimas. Dk, 53(9), 1689–1699. https://doi.org/10.1017/CBO9781107415324.004
  5. Komalasari, R. (2020). Manfaat Teknologi Informasi dan Komunikasi di Masa Pandemi Covid 19. Jurnal Teknologi Informasi Dan Komunikasi, Vol. 7 No., 86–99.
  6. Littlejohn, S. W., Foss, K. A., & Oetzel, J. G. (2005). The communicator. Theories of Human Communication. Part, 79–80.
  7. Neuman, L. W. (2007). Social Research Methods, 6/E. Pearson Education India.
  8. Rizky, C., Chia, U., & Susanti, W. (2019). Rancang Bangun Aplikasi Virtual Classroom Berbasis Android dan Webhost. 1(3), 160–165.
  9. Rourke, M., Eccleston-Turner, M., Phelan, A., & Gostin, L. (2020). Policy opportunities to enhance sharing for pandemic research. Science, 368(6492), 716–718. https://doi.org/10.1126/science.abb9342
  10. Rusyida, W. Y., & Pratama, V. Y. (2020). Prediksi Harga Saham Garuda Indonesia di Tengah Pandemi Covid-19 Menggunakan Metode ARIMA. Square : Journal of Mathematics and Mathematics Education, 2(1), 73. https://doi.org/10.21580/square.2020.2.1.5626
  11. Sadat, A. (2016). Sinergi Birokrasi, Swasta Dan Masyarakat Dalam Proses Formulasi Kebijakan Perencanaan Pada Bappeda Dan Penanaman Modal Kabupaten Buton. Kybernan: Jurnal Studi Kepemerintahan, 1(2), 18–37. https://doi.org/10.35326/kybernan.v1i2.170
  12. Saragih, B. (2020). Gambaran Kebiasaan Makan Masyarakat Pada Masa Pandemi Covid-19. 19(April).
  13. Ting, D. S. W., Lin, H., Ruamviboonsuk, P., Wong, T. Y., & Sim, D. A. (2020). Artificial intelligence, the internet of things, and virtual clinics: ophthalmology at the digital translation forefront. The Lancet Digital Health, 2(1), e8–e9. https://doi.org/10.1016/S2589-7500(19)30217-1
  14. Wilkins, K. G. (2000). Redeveloping communication for social change: Theory, practice, and power. Rowman & Littlefield.
  15. Zein, A. (2020). Pendeteksian VIirus Corona Dalam Gambar X-Ray Menggunakan Algoritma Artifical Intelligence Dengan Deep Learning Python. Jurnal Teknologi Informasi ESIT, XV(01), 19–23.

Full Text:
Article Info
Submitted: 2025-02-25
Published: 2024-12-25
Section: Articles
Article Statistics: