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Evaluasi Tarif Parkir Menginap Di Stasiun Kereta Api Kebon Kawung Bandung - MCUrepository

   ! "# $ % $

  !" #$ % "$ & & $ '& #$ % $#$ ' (

$ $" ) * ! $#$#& & $ '& + , $#$#&

& $ '& $ %-

  • . ' % / ! $ '" ' " "' #

    • 1 + 2+222 %

  • . '" "$ & ! % / +++++++++++++++++ ' ) ' % * ' " ! '

  0. $ 0 3 ( +

  • ' " ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ! ' & $ )

    • . ' & & ' " "' # $ & ' & ' "

      • 2 '

    • + . & & $#$ ! $ ' $ ! % ' & &0 $

      ' $ & ' )" !"' ' $" & " "' " ' $ ! % ' & & &

      • . ' & & '& " !#$ %' " "' ' $" & 0 & ! & 2 4 ' "$ ++++++++++++++++++++++++++++++++++++++++++++++++ ' % & % !"' ' $" & 0 3 +++++++++++++++++++ +

    • . ! $ " ) & " " ' ' $" & & ' $ & ! $"

  5 ' & & '& " 0 " & % ' ( " ' ' ) + ' ' ' $" & & ' ' "$ ( ) '

  • & $ $" ' &"' & 6+ ' % & & $#$ ! $ ) $# ) ' " ' ( " "' ) ' ) ( ' ' ! % $#' & ' +++++++++++++++++++ 2+ ' % " " $" ' ' / $ ' ++++++++++++++++++++++++++++++++ ' % $ * ' " ' ' ) ' ' +

  / ' ! $ 0 . $" +++++++

  6

  • + ' % % $ ' " ' " '

    "$ ( ' ' & & ' "$ ' ! '" " " &

    ' ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  • + . ' $ & $ '"' &

    ' &"' & /# "$ ( % $ )" & ' $" + 7# "$ & !" ! & ' '

    & $ ' ( ) #$ % ' " &

    & +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  • + . ' $" & 0 ' "$ (

    ' " & '%"&"& & $ & +++++++++++++++++++++++++++++++++

  • + . # #$ ' " " &

    ) ' +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
  • $ & "! % / ! $ '" 0 ' $#$

    & 5 #/ & # $ ) / $ ' "% $ & '# #

    ' +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

    6+ ' % )" " ' $ & '# # $ ' ' /

    0 3 ' " ' $ & '# # +++++++++++++++++++++++++++++++++++++++++++++++ 2+ ' % " , " " " & ' ' / %" & ' " , " "

  

% $ "( ) ' ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  • ' % ' "! % / & &" ' 0 3 & $ & &" ++++++++++++++++++++++++++++++++++++++++++++
  • . $" ' % $ ! % ! & ' 0 3 ' &" % & & ( & $ & % ! &

    ' & & +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  • + ' % ! * $ '"' ) " !"$ " "' & "

    # !"$ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  • + . )" $ % & / $#$ ' ' '

    & 5 & ' ' ' $" ' & !" +++++++++++++++

  2

  • + . %"!" $ ' & & " 0 ! %"!" $ $"

    '# ' &" % & ")" ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

    ' % 5# % ' & & " ' $#$ 0 3 +++++++++++ +
  • . ! & 0 / ' ' !" ' "

    $ '# ' % ' & & " ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

    6+ 8 $ $#$ ' & ! & &

    ' ( ' % "! % 0 3 ++++++++++++++++++++++++++++++++++++++++++++++++++

    2+ ' % ' ! ' ) & #$ & 0 3 ' ! ' ) & #$ & ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  • + . ! $ ) ' "& ' & " ' ) & '

    ( $ '"' ' " ' "& ' " ' % $ ' ( " ' " &" & + " ' $ '"' $ % $ & ' ' ' $" " ! $ ' ! % & $ ! " ' $ & ' $ # ' ' #$ & +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

  ' % " % ' $#$ 0 . & " + ' "& ' ( ' ' ' ! ! &

  • "

    • 8 $ ' ) " ) * !' ' "& ' &" ' ' ' & &" &" & +++++++++++++++++++++++++++++++++++++++++++++++

    • + . ' % $ ' 0 3 ' ' "

      & ) "% " ' ' ! +++++++ " $ # ' % ' ' #$ & ' % + " &" &" & +++++++++++++++++++++++++++++++++++++ ' % ' ! ' / & $ + & ' " "'

      ) ' '0 ' +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

      ' %

  5 + ! % $" & ' 0 3 ! $ '# '

  • ' % ' & & " )

  7 '" & " ' ) & ' & & " ' ' !# ' *" ! " !"$ -

  • ' $ 5+ ' $ !+ ' $ + ' $
  • $ , $ 99999 . $ * ' " ' ! & "
  • % 5+ % !+ % + %
  • $ , $ 9999 . ! & ' $" ' " "' ' $ & " ' $ '

    • 2+222 5+ 2+222 !+ 2+222 + 2+222

    >$ , $ 99999+ " " / ! $ '" & ' % -
  • % $ 5+ " % !+ :"'" " " / ! $ '" & &" % & &" / & $ & ! ' ' % -
  • . $" 5+ &" !+ & % '" & &" + $ , $ 9999 " " ! / & &" / & $ & ' & & "

    ' ' !# ' *" ! " -99999999999999999++

    & ' & & "

  " "

  ! " # " $ $ % $ & ' (

  $ ) & ,-./.. -0.12 +

  0.-. * 2* +2 -03/1 -. ,4 0.-. ,* +, -03.. -41,1 0.-. 3* +3 2-20,, -/113 0.-. 0* +0 2- 2/1 -50,1 0.-. /* +/ 2-42.. -2425 0.-.

  6% $ $ $ & 7 6%

  6 6 !

  6 ) ) & )

  .-,5/1 /-34,5 %- 2 3 -, 4, +

  • 2 -4... 0-,02, -,.4/ %- /4/
  • , -4./1 0-,1,5 -,,31 %- 52/
  • 3 - 4,, 5- 41, %-2 2, -2,/,
  • 0 -,2.. /-/35/ - .,3 -.0.4
  • / .-02/1 /-,1 5 %-.,22 - 5,1

  & # & 8 0.-. #

  6 8 /

  • 8

  2

  " " ' "

  ! " # " $ $ % $ & ' (

  $ ) & * +2 -03/1 -. ,4 0.-. 2* +, -03.. -41,1 0.-.

  6% $ $ $ & 7 6%

  6 6 !

  6 ) ) & )

  • 2 -03.. -435 -4,/, *
  • , -03/1 -.25. -4,/, *

  & # & 8 0.-. #

  6

  8

  2 8 -4//1

  " " # $ & TOTAL

  X2 X3 TOTAL Pearson Correlation 1,000 ,618** ,625** Sig. (2 tailed)

  , ,000 ,000 N 150 150 150

  

X2 Pearson Correlation ,618** 1,000 ,936**

Sig. (2 tailed) ,000 , ,000 N

  150 150 150

  X3 Pearson Correlation ,625** ,936** 1,000 Sig. (2 tailed) ,000 ,000 , N 150 150 150

  • .

  Correlation is significant at the 0.01 level (2 tailed).

  6 X2. Y No. Y

  1

  1

  24

  1

  1

  1

  1

  25

  1

  1

  1

  1

  26

  1

  1

  1

  1

  27

  1

  1

  1

  1

  1

  1

  1

  1

  1

  20

  1

  1

  1

  21

  23

  1

  1

  1

  1

  22

  1

  1

  1

  1

  1

  1

  1

  2

  1

  1

  1

  1 146

  1

  1

  1

  1 147

  2

  1

  4

  4 148

  2

  2

  4

  4 149

  1

  1

  1

  1 145

  1

  28

  4

  2

  2

  4

  4

  29

  2

  2

  4

  30

  1

  2

  2

  4

  4

  31

  2

  2

  4

  4 144

  19

  1

  X2 X2

  7

  1

  1

  1

  6

  2

  1

  1

  2

  1

  5

  1

  1

  1

  8

  1

  1

  1

  1

  9

  1

  5

  1

  1

  2

  1

  1

  1

  1

  1

  2

  2

  1

  25

  2

  3

  1

  1

  1

  1

  4

  1

  5

  1

  1

  1

  1

  9

  9

  15

  1

  1

  1

  1

  16

  1

  3

  1

  1

  17

  1

  1

  1

  1

  18

  1

  3

  14

  1

  1

  10

  1

  1

  1

  1

  11

  1

  1

  1

  1

  12

  1

  1

  1

  1

  13

  1

  1

  1

  1

  2 Variables Variables

  Model Entered Removed Method a

  All requested variables entered.

  b.

  Dependent Variable: X3 Adjusted Std. Error of Model R R Square R Square the Estimate a

  1 ,936 ,877 ,876 ,34 a.

  Predictors: (Constant), X2 Sum of Model Squares df Mean Square F Sig. a

  1 Regression 123,826 1 123,826 1051,159 ,000 Residual

  

17,434 148 ,118

Total 141,260 149 a. Predictors: (Constant), X2 b. Dependent Variable: X3 Standardi zed Unstandardized Coefficien

  Coefficients ts Model B Std. Error Beta t Sig. 1 (Constant) ,149 ,051 2,915 ,004

  X2 ,899 ,028 ,936 32,422 ,000 a. Dependent Variable: X3

  ! " # " Frequency Percent Valid Percent Cumulative Percent Valid

  1 37 24,7 24,7 24,7

  2 25 16,7 16,7 41,3

  3 9 6,0 6,0 47,3

  4 50 33,3 33,3 80,7

  5 29 19,3 19,3 100,0 Total 150 100,0 100,0 $ " ! " % #

  Frequency Percent Valid Percent Cumulative Percent Valid 1 102 68,0 68,0 68,0

  2 32 21,3 21,3 89,3

  3 4 2,7 2,7 92,0

  4 6 4,0 4,0 96,0

  5 6 4,0 4,0 100,0 Total 150 100,0 100,0

  & ' ( Frequency Percent Valid Percent Cumulative Percent Valid

  1 100 66,7 66,7 66,7

  2 35 23,3 23,3 90,0

  3 4 2,7 2,7 92,7

  4 6 4,0 4,0 96,7

  5 5 3,3 3,3 100,0 Total 150 100,0 100,0

  • * )

  Frequency Percent Valid Percent Cumulative Percent Valid 1 19 12,7 12,7 12,7

  2 72 48,0 48,0 60,7

  3 59 39,3 39,3 100,0 Total 150 100,0 100,0

  6 ) (

  Frequency Percent Valid Percent Cumulative Percent Valid 1 46 30,7 30,7 30,7

  2 39 26,0 26,0 56,7

  3 65 43,3 43,3 100,0 Total 150 100,0 100,0 ' " +

  ! Frequency Percent Valid Percent Cumulative Percent Valid

  1 36 24,0 24,0 24,0

  2 23 15,3 15,3 39,3

  3 8 5,3 5,3 44,7

  4 83 55,3 55,3 100,0 Total 150 100,0 100,0

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