LEADERSHIP AND EDUCATION AFFECT ON SOLDIERS? PERFORMANCE IN SUPPORTING NATIONAL DEFENSE(STUDY IN AIR DEFENSE ARTILLERY BATTALION 2/2/K MALANG).

Rudi ariyanto 1 , z. Fanani 2 and mukhammad soleh 3 . 1. master student of brawijaya university. 2. postgraduate lecturer of brawijaya university. 3. postgraduate lecturer of wisnu wardhana university. ...................................................................................................................... Manuscript Info Abstract ......................... ........................................................................ Manuscript History Received: 12 October 2018 Final Accepted: 14 November 2018 Published: December 2018


ISSN: 2320-5407
Int. J. Adv. Res. 6 (12), 773-780 774 education. Many views of thinkers about the meaning of education, they see education in various perspectives so that the meaning of education depends on the perspective used.
In general, education is a conscious and systematic effort to achieve a standard of living or for better progress. An explanation of leadership and education above cannot be separated from performance due to the implementation of leadership and education in order to optimize performance. In order to achieve maximum performance, the work carried out must refer to the desire to achieve certain goals. Clarity of purpose in a job will determine the ways, methods, techniques and strategies used to do a job. Accumulation of various ways, methods, techniques and strategies that are prepared and used by someone to work to achieve the desired goal is a picture of one's performance.

Research problem.
Based on the description of the background above, a number of related Research problem are obtained including:  775 Data Retrieval Techniques:-Data collection techniques was used Questionnaire, Observation, Documentation and Interview. The data collected is in the form of answers to questions that have been prepared using the linkert scale Data analysis technique:-This research uses quantitative analysis technique with descriptive analysis approach. Meanwhile, to test associative hypotheses or relationships if the data are in the form of intervals, then the moment product correlation and multiple correlation tests are used.

RESEARCH RESULT AND DISCUSSION:-Data Analysis:a. Validity Test
Validity test was carried out on the questionnaire instrument to find out how far the correlation of items of questions / statements contained in the questionnaire to the total number of research variables. The formula used in calculating validity in this study is the Pearson Product Moment formula as follows: Based on the provisions of the formula, the criteria specified in determining whether a valid or not statement to be used as an instrument in this study are as follows: 1. If r XY 3 0,3, then the statement items are declared valid.
2. If r XY <0.3, then the statement items are declared invalid.
After obtaining data from the results of the questionnaire and then processing the data using the Pearson Product Moment formula, the following results are obtained: Based on the results above, data obtained that the overall r count for leadership, education and performance variables is greater than r critical. This means that each item in the questionnaire used in this study is valid.

b. Reliability Test
Reliability test was performed on the questionnaire instrument to determine the reliability of the measuring instrument used in the study using the Cronbach Alpha formula. Based on the provisions of the formula, the criteria specified in determining whether a statement is reliable or not to be used as an instrument in this study are if it gives Cronbach Alpha values r> 0.60. The Cronbach Alpha formula used in calculating reliability in this study is as follows: After obtaining data from the results of the questionnaire then the data processing was performed using the Cronbach Alpha formula above, so that the following results were obtained: Based on the data above, the results show that the overall r counts for leadership, education and performance variables greater than 0.6. This means that each item in the questionnaire used in this study is reliable.

The Relationship between Leadership and Soldiers Performance
Calculation of leadership variable correlation with performance using the Product Moment correlation formula as follows:

Relationship between Education and Soldier Performance
Calculation of leadership variable correlation with performance using the Product Moment correlation formula as follows: 1.034,52 = √ 1.570,71 x 4.824,29 = 0,38 So there is a positive correlation of 0.38 between leadership variables with performance variables. For next, it is necessary to find out about the level of significance, whether the price is significant or not. When using calculation with r table for n = 85 and error 5%, then obtained r table = 0.213 while for the value of r count = 0.38. The provisions is if r count value is smaller than r table value, then Ho is accepted and Hi is rejected But conversely if the value of r count is greater than r table (r h> r t) then Hi is accepted. From the results it can be seen that the value of r count is greater than the value of r table so Ha is accepted, thus the correlation of 0.38 is positive and significant.

Relationship between Leadership and Education with Soldiers Performance
The Calculation of correlation between both of leadership and education variables on the performance of soldiers on hypotheses used multiple correlation formula. But before calculating the correlation between leadership and education variables on performance variables, the correlation must be calculated among the independent variables, namely leadership and education. The correlation calculation uses the Product Moment correlation formula as follows: 1.388,82 = √ 5.718,89 x 1.570,71 = 0,46 After the results was obtained from the calculation of the correlation between 2 (two) independent variables above, then the results of the calculation of correlation are included in the multiple correlation formula. The correlation formula between variables is as follows: Var.
r Count r The calculation of the correlation variables of both leadership and education on performance using the multiple correlation formula are as follows: r 2 x 1 y + r 2 x 2 y -2 rx 1 y rx 2 y rx 1 x 2 R X 1 X 2 Y = 1r 2 x 1 x 2 0,51 2 +0,38 2 -(0,51)(0,38)(0,46) = 1 -0,46 2 = 0,535 Then, there is a positive correlation between leadership and education with a performance of 0.535. This relationship can be expressed qualitatively medium and the magnitude more than individual correlation between X1 and Y also X2 with Y. Correlation of 0.535 is only valid for the sample under the study. Whether the correlation coefficient can be generalized or not, the significance is must be tested. To test the significance used formula F. Calculation of significance of the correlation coefficient of leadership and education variables together on performance as follows: Based on the results of the calculation above using the formula F, the results obtained for F h = 16,441. This price is then consulted with F table (F t ), with the numerator dk = k and the denominator = (n -k -1) and the level of error set is 5%. F table obtained is F t = 3.11. In this case the provisions apply if F h is greater than Ft , so the multiple correlation coefficients tested are significant, i.e. can be applied to the entire population. From the calculation above, it turns out that F h is greater than Ft (16,441> 3,11) so it can be stated that the multiple correlation is significant and can be applied to the entire study population.