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    Perencanaan Transport Model DCGR

    Uploaded by

    Kurnia Utami
    The document describes the DCGR (Metode DCGR) matrix model. It provides the β value, cost matrix Cid, and results of iterations to calculate the attraction values (Ai), destination values (Dd), and balancing factors (Bd). Over 5 iterations, the Ai, Dd, and Bd values are recalculated until the model converges on a solution.

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    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd

    Perencanaan Transport Model DCGR

    Uploaded by

    Kurnia Utami
    176 views7 pages
    The document describes the DCGR (Metode DCGR) matrix model. It provides the β value, cost matrix Cid, and results of iterations to calculate the attraction values (Ai), destination values (Dd), and balancing factors (Bd). Over 5 iterations, the Ai, Dd, and Bd values are recalculated until the model converges on a solution.

    Original Description:

    transport- sipil - untad Palu

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    The document describes the DCGR (Metode DCGR) matrix model. It provides the β value, cost matrix Cid, and results of iterations to calculate the attraction values (Ai), destination values (Dd), and balancing factors (Bd). Over 5 iterations, the Ai, Dd, and Bd values are recalculated until the model converges on a solution.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    176 views7 pages

    Perencanaan Transport Model DCGR

    Uploaded by

    Kurnia Utami
    The document describes the DCGR (Metode DCGR) matrix model. It provides the β value, cost matrix Cid, and results of iterations to calculate the attraction values (Ai), destination values (Dd), and balancing factors (Bd). Over 5 iterations, the Ai, Dd, and Bd values are recalculated until the model converges on a solution.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    of 7

    Metode DCGR

    diketahui:
    =
    0.09004

    exp =

    2.718282
    Fcid
    Matriks exp (-.Cid)

    Tabel Matriks Biaya (Cid)


    Zona
    1
    2
    3
    4

    1
    6
    20
    15
    28

    2
    18
    10
    25
    22

    3
    37
    42
    10
    36

    4
    28
    27
    15
    6

    Zona
    1
    2
    3
    4

    1
    0.58261
    0.16517
    0.25908
    0.08037

    2
    0.19776
    0.40641
    0.10529
    0.13795

    3
    0.03574
    0.02278
    0.40641
    0.03911

    4
    0.08037
    0.08794
    0.25908
    0.58261

    Tabel MAT hasil akhir model DCGR


    iterasi 1
    cari Ai ; Bd = 1
    Zona
    1
    2
    1
    459.244
    53.445
    2
    219.889 185.505
    3
    143.364
    19.976
    4
    24.480
    14.406
    Dd
    846.978 273.333
    Dd'
    700
    240
    Ed
    0.82647 0.87805
    Bd
    1.00000 1.00000

    Tid O i .D d .A i .Bd .f(C


    3
    5.634
    6.067
    44.977
    2.382
    59.061
    140
    2.37045
    1.00000

    4
    31.676
    58.539
    71.682
    88.731
    250.628
    350
    1.39649
    1.00000

    oi
    550
    470
    280
    130
    1430

    A1 = 1/[B1.D1.exp(-bC11)+ B2.D2.exp(-bC12)+ B3.D3.exp(-bC13)+ B4.D4.exp(-bC14)

    O i .D d .A i .Bd .f(Cid )
    Oi
    550
    470
    280
    130

    Ei
    1
    1
    1
    1

    1430
    1

    .exp(-bC13)+ B4.D4.exp(-bC14)]

    Ai
    0.00205
    0.00405
    0.00282
    0.00335

    Tid O i .D d .A i .B

    Tabel MAT hasil akhir model DCGR


    iterasi 2
    cari Bd ; pakai nilai Ai
    Zona
    1
    2
    3
    1
    607.972 153.999
    79.153
    2
    291.101 534.518
    85.224
    3
    189.794
    57.560
    631.833
    4
    32.408
    41.511
    33.468
    Dd
    1121.275 787.588 829.678
    Dd'
    700
    240
    140
    Ed
    0.62429 0.30473 0.16874
    Bd
    1.32385 2.88142 14.04791

    4
    83.738
    154.753
    189.498
    234.568
    662.557
    350
    0.52826
    2.64359

    B1 = 1/[A1.O1.exp(-bC11)+ A2.O2.exp(-bC21)+ A3.O3.exp(-bC31)+ A4.O

    Tid O i .D d .A i .Bd .f(Cid )


    oi
    924.861
    1065.596
    1068.685
    341.955
    3401.098

    Oi
    550
    470
    280
    130

    Ei
    0.595
    0.441
    0.262
    0.380

    Ai
    0.00205
    0.00405
    0.00282
    0.00335

    1430
    0.420

    C21)+ A3.O3.exp(-bC31)+ A4.O4.exp(-bC41)]

    Tid O i .D d

    Tabel MAT hasil akhir model DCGR


    iterasi 3
    cari Ai ; Bd diketahui
    Zona
    1
    2
    3
    1
    361.551
    91.580
    47.071
    2
    128.395 235.759
    37.589
    3
    49.727
    15.081
    165.543
    4
    12.321
    15.781
    12.723
    Dd
    551.994 358.201 262.927
    Dd'
    700
    240
    140
    Ed
    1.26813 0.67001 0.53247
    Bd
    1.32385 2.88142 14.04791

    A1 = 1/[B1.D1.exp(-bC11)+ B2.D2.exp(-bC12)+ B3.D3.exp(-bC1

    Tid O i .D d .A i .Bd .f(Cid )


    4
    49.798
    68.257
    49.649
    89.175
    256.879
    350
    1.36251
    2.64359

    oi
    550
    470
    280
    130
    1430

    Oi
    550
    470
    280
    130

    Ei
    1
    1
    1
    1

    1430
    1

    D2.exp(-bC12)+ B3.D3.exp(-bC13)+ B4.D4.exp(-bC14)]

    Ai
    0.00122
    0.00178
    0.00074
    0.00127

    Tabel MAT hasil akhir model DCGR


    iterasi 4
    cari Bd, pake nilai Ai
    Zona
    1
    2
    1
    458.494
    61.360
    2
    162.822 157.962
    3
    63.060
    10.104
    4
    15.624
    10.574
    Dd
    700.000 240.000
    Dd'
    700
    240
    Ed
    1.00000 1.00000
    Bd
    1.67882 1.93059

    B1 = 1/[A1.O1.exp(-bC11)+ A2.O2.exp(-bC21)+

    model DCGR

    Tid O i .D d .A i .Bd .f(Cid )


    3
    25.064
    20.015
    88.146
    6.775
    140.000
    140
    1.00000
    7.48006

    4
    67.850
    93.001
    67.648
    121.502
    350.000
    350
    1.00000
    3.60192

    oi
    612.768
    433.799
    228.959
    154.474
    1430.000

    Oi
    550
    470
    280
    130

    Ei
    0.898
    1.083
    1.223
    0.842

    1430
    1.000

    bC11)+ A2.O2.exp(-bC21)+ A3.O3.exp(-bC31)+ A4.O4.exp(-bC41)]

    Ai
    0.00122
    0.00178
    0.00074
    0.00127

    Tabel MAT hasil akhir model DCGR


    iterasi 5
    cari Ai ; Bd diketahui
    Zona
    1
    1
    411.529
    2
    176.409
    3
    77.118
    4
    13.149
    Dd
    678.205
    Dd'
    700
    Ed
    1.03214
    Bd
    1.67882

    A1 = 1/[B1.D1.exp(-bC11)+ B2.D2.exp

    hasil akhir model DCGR

    2
    55.075
    171.144
    12.357
    8.898
    247.474
    240
    0.96980
    1.93059

    1.D1.exp(-bC11)+

    Tid O i .D d .A i .Bd .f(Cid )


    3
    22.496
    21.685
    107.797
    5.701
    157.680
    140
    0.88787
    7.48006

    4
    60.900
    100.762
    82.728
    102.252
    346.641
    350
    1.00969
    3.60192

    oi
    550
    470
    280
    130
    1430

    Oi
    550
    470
    280
    130

    Ei
    1
    1
    1
    1

    1430
    1

    B2.D2.exp(-bC12)+ B3.D3.exp(-bC13)+ B4.D4.exp(-bC14)]

    Ai
    0.00109
    0.00193
    0.00090
    0.00107

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