Artificial Intelligence for COVID- 19

Fitria, Sartika and Mahyudin, Ritonga and Ahmad, Lahmi and Aguswan, Rasyid and Suci, Rahmadhanti Febriani (2021) Artificial Intelligence for COVID- 19. Studies an System,Decision dan Control 358, Springer.

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Abstract

Abstract • Reveal planning that done in low internet areas in following online learning. • Get information about strategy done by students and college student following the online learning. • Finding problems and offering possible solutions can be a reference for students, college students or teachers in experiencing learning in areas of the low internet. Objectives: Areas with low internet need special attention from various parties especially in the condition of covid-19 which require that activities be held online as well as education. Through this research is expected to inform about the planning, strategy as well as the problems faced and solutions offered for the continuity of education in low internet areas. Method: This research was conducted in two sub-districts in Solok Regency,West Sumatra, Indonesia, data collection techniques are surveys, and observations, data sources are students and college students and teachers who are at the research location. Data analysis this researcher performed qualitative data analysis procedures, namely reducing data, displaying data, clarifying, and drawing conclusions. Findings: the local government which has lowinternet area has not done enough planning to support the continuity of online learning for the community, the implementation of online learning activities in low internet areas requires different preparation, less maximum implementation, and various difficulties or obstacles that can not be avoided such as the cost of online learning a lot, WiFi signal is not strong, electricity is often extinguished. As a result of this condition, students and college students living in low-internet areas have to struggle to find specific locations that are reached by signal, affordable locations must be reached for 15 min by motorcycle. Keywords Low internet · Learning problem · Planning · Covid-19

Item Type: Other
Subjects: L Education > L Education (General)
Divisions: Library of Congress Subject Areas > B Philosophy. Psychology. Religion > S2 Pendidikan Agama Islam
Library of Congress Subject Areas > T Technology > Fakultas Pasca Sarjana > S2 Pendidikan Agama Islam
Fakultas Pasca Sarjana > S2 Pendidikan Agama Islam
Depositing User: Unnamed user with email repo@umsb.ac.id
Date Deposited: 08 Apr 2023 08:22
Last Modified: 08 Apr 2023 08:22
URI: http://eprints.umsb.ac.id/id/eprint/1670

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