PENGARUH KOMPENSASI, PENDIDIKAN, DAN SENIORITAS TERHADAP PRODUKTIVITAS KERJA Dl LINGKUNGAN DINAS KEBERSIHAN DAN PERTAMANAN KOTA SURAKARTA

ISSN 1411-3422. DAYA SAING, Vol.3 (No.2). pp. 75-85. 2002

AUTHOR:
Muhammad Wahyuddin
Diniah Damayanthi

ABSTRACT:

This research to know the compensation influence, education, and seniority to officer productivity environment on duty hygiene and gardening of Town Surakarta. Result of analysis know the value of thining of compensation variable equal to 6,225 and assess the t-hitung of education variable equal to 4,176 is significan at alpha = 1%, hence refused nul hypothesis and alternative hypothesis accepted, meaning variable of compensation and education individually influence the productivity variable at  alpha = 1%. Value of t-hitung of seniority variable equal to 2,530 is significan at alpha = 5%, hence refused nul hypothesis and alternative hypothesis accepted, meaning seniority variable individually influence the productivity variable. Asses the coefficient of regresi of compensation variable aqual to 1,016; value of coefficient of regresi of education variable equal to 0,898; and assess the coefficient of regresi of seniority variable equal to 0,294. Seen from value of coefficient regresi and t-hitung, biggest compensation variable, meaning influence individually strongest compensation variable. Assess the F-hitung to 87,527 significan at alpha= 1%, hence refused nul hypothesis and alternative hypothesis accepted, meaning compensation variable, education, and seniority together influence the productivity variable by significan. Assess the coefficient determinasi (R2) equal 0,804 meaning equal to 80,4 % compensation variable, education, and seniority can influence the productivity variable by sicnifican, while equal to 19,6 % influenced by other variable which is not packed into model. Result of calculation JB-test, value of JB equal 2,542679; then compared to tables of Chi Square with the free degree 2 at confidence level 99 % (11,3). Value of variable of intruder error smaller than 11,3 hence examinee data have normal distribution. Assess the Durbin Watson from data analysis obtained (by) equal tol,843 located between 1,5 and 2,5 hence is not happened the otokorelasi.Test the heterokedastisitas, assess the R2 equal 0,004 multipled the amount of data equal 68. 0,272 is smaller than 11,3 (value of Chi Square), it's meaning standard error (e) do not experience of the heterokedastisitas. Assess The VIF (Variance Inflation Factor) compensation variable equal 1,253 which is far from value 10; Value of VIF of education variable equal 3,424 which is far from value 10; value of VIF variable seniority equal 3,302 which is far from value 10; Seen from value VIF, hence data is not happened the problem multikolinieritas.

Keywords: kompensasi, senioritas, heteroskedastisitas, multikolinieritas

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