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The simulation of divayana formula calculation to determine the priority of recommendation in evaluation activities

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Abstract Evaluation activities are not carried out to determine whether to pass or not the program being evaluated. Evaluation activities tend to provide recommendations for improving or completion of the constraints that are still found in the program being evaluated. The problem that often occurs in the field is the difficulty in determining recommendation priority for each evaluation aspect. Therefore, a precise and accurate formula is needed to determine the recommendation priority in an evaluation activity. Hence, the evaluation results will be more optimal. The purpose of this study was to demonstrate a DIVAYANA formula calculation simulation in determining recommendation priority. This research approach was evaluative with research stages that follow the DIVAYANA model stages. This research focused on the DIVAYANA formula part which lies at the Nominate stage. The subjects involved in the initial data collection were ten students from the Department of Informatics Education, Universitas Pendidikan Ganesha. The subjects involved in determining the weight for the evaluation component were four experts. The tool used for initial data collection and expert weight determination was questionnaires. The analysis technique of this research was done by checking the correctness of the DIVAYANA formula calculation based on case proof. The results showed that the process of DIVAYANA formula calculating simulation had been running well as evidenced by the accuracy of the results of determining priority recommendation.
Title: The simulation of divayana formula calculation to determine the priority of recommendation in evaluation activities
Description:
Abstract Evaluation activities are not carried out to determine whether to pass or not the program being evaluated.
Evaluation activities tend to provide recommendations for improving or completion of the constraints that are still found in the program being evaluated.
The problem that often occurs in the field is the difficulty in determining recommendation priority for each evaluation aspect.
Therefore, a precise and accurate formula is needed to determine the recommendation priority in an evaluation activity.
Hence, the evaluation results will be more optimal.
The purpose of this study was to demonstrate a DIVAYANA formula calculation simulation in determining recommendation priority.
This research approach was evaluative with research stages that follow the DIVAYANA model stages.
This research focused on the DIVAYANA formula part which lies at the Nominate stage.
The subjects involved in the initial data collection were ten students from the Department of Informatics Education, Universitas Pendidikan Ganesha.
The subjects involved in determining the weight for the evaluation component were four experts.
The tool used for initial data collection and expert weight determination was questionnaires.
The analysis technique of this research was done by checking the correctness of the DIVAYANA formula calculation based on case proof.
The results showed that the process of DIVAYANA formula calculating simulation had been running well as evidenced by the accuracy of the results of determining priority recommendation.

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