@thesis{thesis,
		author={Fitrah  Afdal},
		title ={Analisis Pengaruh Pemberian Kompensasi Finansial Dan Nonfinansial Terhadap Kepuasan Kerja Karyawan Studi Pada Karyawan Divisi Sumber Daya Manusia (SDM), Admistrasi, Dan Keuangan PT Hanazono Engineering Indonesia},
		year={2012},
		url={http://repository.ibs.ac.id/1423/},
		abstract={To win the competition in the business world enterpreneur must compete with one another  in  improving  their  competitive  advantage.  The  key  to  winning  this  competition can be done by increasing the standard and quality of human resources that are owned by the firm. To the quality of human resources, the company must take into account the needs  of  employees  with  the  best.  One  way  of  compensation  related  to  both  financial compensation and non-financial compensation for the employees to achieve the level of job  satisfaction  they  expect  and  employees  will  feel  comfortable  with  the  job  in  which they live. To  determine  the  relationship  between  financial  compensation  and  nonfinancial compensation  to  employee  job  satisfaction  in  this  study  using  a  statistical  calculation using multiple regression analysis. Multiple regression analysis was used to measure the influence of financial compensation (X1) and non-financial compensation (X2) which is the independent variable employee job satisfaction (Y) which is the dependent variable. This  calculation  is  done  to  see  how  that  will  occur  in  which  the  relationship  between these variables partially or simultaneously. The formula used in this regression is Y = a + b1 X1 + b2 X2, where (Y) as job satisfaction, (a) as a constant, (b1 X1) as financial compensation,  and  (b2  X2)  as  non-financial  compensation.  T  results  will  be  compared with  the  t  table  to  determine  whether  the  independent  variables  have  significant relationship has no significant effect on the dependent variable.             The  results  of  multiple  regression  analysis  is  Y  =  1.417  +  0.549  +  0.549  X1  + 0.001 X2. From the results of those calculations can be concluded that the variable (X1) has  a  significant  positive  relationship  (Y)  because  the  value  of  t  greater  than  t  table, while  for  the  variable  (X2)  has  no  significant  relationship  terhdap  (Y)  due  to  a  lower value of t value t tables.}
		}