Analysis of the Compatibility of Student Satisfaction Index with Course Value Using Significance Correlation and Backpropagation Approach

Abstract

The implementation of the measurement of customer satisfaction is the measurement of service satisfaction of lecturers to students to lecturers carried out by the State Islamic University of Maulana Malik Ibrahim Malang during the pandemic using the IKM Online application. The competencies measured are pedagogic competence, professional competence, personality competence, and social competence. The measurement of the correlation of significance to the results of IKM Online compared with student scores as learning outputs is carried out to determine the relationship between the two variables. The coefficient of determination is also added to the measurement to determine the strength of the influence of one variable on another variable. The results show that the correlation between the 2 variables is strong and the subject value variable has an effect of 55.9504% on the IKM outcome variable. The data classification process using the backpropagation algorithm is used to strengthen the relationship between the two variables. The result is the 2-5-1 model with RMSE 0.028 being the best model and the strong data class being the first class. From this study, measurements are needed to determine other factors that affect the assessment of student satisfaction to lecturers and evaluation of survey instruments.