VLH Development as Implementation Support for SFH (Study from Home) Policy during Covid-19 Pandemic: Analysis of Validity and Effectivity

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A. Kholiq, I. Sucahyo, Dzulkiflih, M. Yantidewi

2021 Journal of Physics: Conference Series Vol. 1805 Issue 1 Conference paper Cited by 1 Quartile

Abstract

There has been a paradigm shift due to the Covid-19 pandemic that has hit the world, including Indonesia, therefore the Indonesian government issues policies of working from home, studying from home, and worshipping at home. The developing V-learn HOTS is in line with the studying from home policy launched by the Indonesian government. V-Learn HOTS was developed by combining v-learn and high order thinking (HOTS) which was useful for supporting 21st century skill. The objective of this research is to analyse the feasibility level of developed VLH in terms of the validity and effectivity of VLH use in long distance lecture in order to obtain appropriate VLH media that can be used in lectures for students. This study used a development research method with the DDD-E design which could be defined as decide, design, develop, and evaluate [1]. Data collection techniques used validation data collection techniques with validation instruments and assessment of student HOTS skills improvement, pre-test and post-test instruments which were then analysed using quantitative descriptive data analysis. Based on the data analysis that had been performed, it was found that the developed VLH had an average validity level of 79.44% with valid criteria. As for effectiveness, it was obtained from the results of the pre-test and post-test analysis so that the n-gain results were 0.43 in the moderate category. The conclusion that can be drawn from the analysis is that the VLH is valid and effective so as it is suitable for long distance lecture on basic electronics 1 in accordance with the Indonesian government policies in handling Covid-19. © Published under licence by IOP Publishing Ltd.

Affiliations

Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Surabaya, Jl. Ketintang Surabaya, 60231, Indonesia