Hybrid Learning Predictions on Learning Quality Using Multiple Linear Regression.

Sudrajat, Dadang; Purnamasari, Ade Irma; Dikananda, Arif Rinaldi; Kurnia, Dian Ade; Efendi, Dwi Marisa

Indonesia declares COVID-19 Pandemic by the World Health Organization (WHO) from March 2020. This has a very impact, one of which is on the continuity of the world of education. This research aims to foretell the impact of hybrid teaching methods used at SMK Cendikia Cirebon City during the COVID-19 period on student achievement. Teachers' materials, honesty, enthusiasm, and IT backing are all factors in determining the quality of education. Multiple linear regression with root-mean-squared error as the dependent variable is used in this study (RMSE). Experiments conducted on 122 participants yielded an RMSE of 0.375 and a correlation level of 0.440 for each attribute, with test samples comprising 10% and training samples comprising 90%. As a result, the use of this multiple linear regression model can be suggested for foreseeing the introduction of a hybrid learning model to enhance educational quality.

INDONESIA; BLENDED learning; WORLD Health Organization

Ingénierie des Systèmes d'Information, 2023, Vol 28, Issue 1, p155

1633-1311

Academic Journal

10.18280/isi.280116