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Use of DIVAYANA formula in determining Discrepancy Asuri Daiwi Sampad in the evaluation process of flipped learning
The purpose of this research was to show the process of calculating the DIVAYANA formula in obtaining alternatives that were the most dominant positive and negative imbalances supporting the effectiveness of the flipped learning implementation. Imbalance data in the flipped learning implementation r...
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Main Authors: | , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | The purpose of this research was to show the process of calculating the DIVAYANA formula in obtaining alternatives that were the most dominant positive and negative imbalances supporting the effectiveness of the flipped learning implementation. Imbalance data in the flipped learning implementation refers to the Daiwi Sampad and Asuri Sampad concepts. Positive imbalance refers to the Daiwi Sampad concept, while negative imbalance refers to the Asuri Sampad concept. The method used in this research was the simulation method of calculating the DIVAYANA formula in the evaluation process of flipped learning. The value of imbalance was obtained from the difference between the percentage of the respondents’ assessment and the percentage of the effectiveness standards. A total of 20 respondents were involved in conducting an assessment to obtain the percentage of respondents’ assessments. A total of four experts were involved in determining the percentage of effectiveness standards. The tools used to obtain the results of the respondents’ assessment and the percentage of effectiveness standards were questionnaires. This research was conducted at several IT vocational schools in Bali. The technique used to analyze the simulation results of the DIVAYANA formula calculation was by comparing the categorization of effectiveness based on the five’s scale with the percentage results of the effectiveness level of using that formula. The results of this research indicate the effectiveness of the DIVAYANA formula to determine which alternatives were the most dominant positive and negative imbalances in the flipped learning implementation. |
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ISSN: | 0094-243X 1551-7616 |
DOI: | 10.1063/5.0106203 |