| dc.description.abstract | SUPRIYATI IDI SOEPYANTO, Student Number: 12913072. Effect of
Leadership Motivation Discipline and Working Environment on Performance of
TK/RA Teachers at Pleret District Bantul Regency.
The problems of this study were formulated as: Do leadership, motivation,
discipline, and working environment significantly and simultaneously affect the
performance of TI?RA (Kindergarten) teachers in Pleret District?
This study was a quantitative statistics, i.e. making statistical analysis based
on the existing data and describing, in a systematic, factual, and accurate manner,
facts, characteristics, as well as relationship among phenomena being examined
without leaving the hypothesis testing. 2) The variables examined were only some
variables which could affect the performance of TICRA teachers, such as:
Leadership, Motivation, Discipline, and Working Environment. 3) The location of
this study was Pleret District in Bantul Regency.
The purposes of this study were: To find out about any significant effect of
Leadership, Motivation, Discipline and working environment on the performance of
TK/RA teachers in Pleret District. The object of this study was TK/RA Teachers in
Pleret District. The population was 150 people and the sample was 75 people.
Based on the results of this study, it can be concluded that: 1) The regression
test showed that the variables of Leadership, Motivation, Discipline and working
environment have positive effect on the performance of TI(RA teachers in Pleret
District. 2) The t-Test showed that Leadership, Motivation, Discipline and working
environment have positive effect on the performance of TK/RA teachers in Pleret
District. 3) The F-Test showed that Leadership, Motivation, Discipline and working
environment have positive effect on the performance of TK/RA teachers in Pleret
District. 4) The testing of estimation accuracy resulted in the value of Adjusted R
square of 0.862 or 86.20/o, meaning that the variability of the dependent variable
which can be explained by the variability of the independent variables is 86.2%o,
while the remaining (13.8%) is explained by other variables which are not included in
the regression model. | en_US |
