TEACHING STRATEGIES FOR CREATIVE TEACHER EFFORT TO INCREASE LEARNING MOTIVATION OF STUDENTS AT STATE HIGH SCHOOL OF SURABAYA IN COVID-19 ERA

Purpose of this research analysed the teaching strategies for creative teachers in an effort to
increase student motivation in SMA Negeri Surabaya. This research was conducted with a
quantitative approach with the number of respondents 27 students. This research was conducted to
test hypotheses related to the relationship between the variables of creative teacher teaching
strategies on students' learning motivation. The selection of participants by purposive sampling was
based on the inclusion criteria set by the researcher. Data was collected through a Google form
using a closed questionnaire containing a number of written questions. Data analysis technique used
a simple linear regression analysis with the aim of finding whether there was a relationship or
influence between variables. The results showed that the correlation coefficient R that were
obtained as follows: From the Summary model table, R2
= 0.451 from the output, the termination
coefficient is 0.512 which implied that the influence of the independent variable on the dependent
variable is 5.12% that the calculated F value = 8,400 with a significance level of 0.02 < 0.05. The
regression test can be used to predict the environmental school variable (X) T on the dependent
variable (Y). With the form of the linear equation Y = a + Bx it can be used correctly. From the
ANOVA table, the F value was 8,400 with a significant test of 0.020. Since the significant test value
was less than 0.05 that can be concluded that the form of the linear equation Y = a + Bx was correct
and can be used. 3) Based on the coefficient, it was known that a) the constant number of
Unstandardized Coefficients with a value of 2,585. This was a constant number which meant that if
the teaching strategy effort was (X) then the consistent value of learning motivation was 2,585. b)
The number of regression coefficients, the value of 0.512 meant that for every 1% addition of r (X),
then (Y) can increase by 0.512.