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

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.

User Interface Design for DIVAYANA Evaluation Application Based on Positive-Negative Discrepancy

“…At this stage, a priority ranking of recommendations is carried out. The formula used for ranking calculations is the DIVAYANA formula which consists of three equations [19][20][21][22]. Equation ( 1) is to determine the weighted average improvement, Equation ( 2) is to determine the D-vector value as the normalization value, and Equation ( 3) is to determine the R-vector value as the ranking value.…”

Qualitative Data Requirements in the Divayana Evaluation Model

“…That calculation process is not explained fully in this study. The calculation process can be seen in literature studies about the DIVAYANA formula in reputable international journals (Divayana, 2020(Divayana, , 2021. Some of the interview questions needed to determine the calculation process effectiveness in searching for priority aspects that need improvement can be seen in Table 4.…”

“…However, the limitations of those models are not able to show recommendations in the form of priority aspects that need improvements. One of the innovations in the education evaluation model that can show priority aspects that need improvements is called the DI-VAYANA model (Divayana, 2020(Divayana, , 2021Divayana et al, 2021). According to the model's name, this model consists of eight evaluation components, including Description component, Input component, Verification component, Action component, Yack component, Analysis component, Nominate component, and Actualization component.…”