Tugas Pemodelan - Model Regresi Polinomial

download Tugas Pemodelan - Model Regresi Polinomial

of 14

Transcript of Tugas Pemodelan - Model Regresi Polinomial

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    1/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    Tugas pemodelan

    Membuat model regresi polinomial dari data berikut

    No. Solids reduction x (%) Chemical oxygen demand, y (%)

    1 3 5

    2 7 11

    3 11 21

    4 15 16

    5 18 16

    6 27 28

    7 29 27

    8 30 25

    9 30 35

    10 31 30

    11 31 40

    12 32 32

    13 33 34

    14 33 32

    15 34 34

    16 36 37

    17 36 38

    18 36 34

    19 37 36

    20 38 38

    21 39 37

    22 39 36

    23 39 45

    24 40 39

    25 41 41

    26 42 40

    27 42 44

    28 43 37

    29 44 44

    30 45 46

    31 46 4632 47 49

    33 50 51

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    2/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    Membuat model dari persamaan polinomial dengan metode Least Square

    Input : x

    [

    ]

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    3/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    Polinomial orde satu

    H =

    [ 1 3 ]

    1 7

    1 111 15

    1 18

    1 27

    1 29

    1 30

    1 30

    1 31

    1 31

    1 32

    1 33

    1 33

    1 34

    1 36

    1 36

    1 36

    1 37

    1 38

    1 39

    1 39

    1 39

    1 40

    1 41

    1 421 42

    1 43

    1 44

    1 45

    1 46

    1 47

    1 50

    ....

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    4/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro [ 6.5406 ]

    10.1551

    13.7697

    17.3843

    20.0952

    28.2280

    30.0353

    30.9389

    30.9389

    31.8426

    31.8426

    32.7462

    33.6499

    33.6499

    34.5535

    36.3608

    36.360836.3608

    37.2644

    38.1681

    39.0717

    39.0717

    39.0717

    39.9754

    40.8790

    41.7826

    41.7826

    42.686343.5899

    44.4936

    45.3972

    46.3009

    49.0118

    Akumulasi kuadrat error : .

    Persamaan Polinomial orde empat :

    y = -7E-06x4+ 0.0009x

    3- 0.0407x

    2+ 1.5074x + 2.0835

    persamaan polinomial orde dua :

    =

    [1.5406]

    -0.8449

    -7.2303

    1.3843

    4.0952

    0.2280

    3.0353

    5.9389

    -4.0611

    1.8426

    -8.1574

    0.7462

    -0.3501

    1.6499

    0.5535-0.6392

    -1.6392

    2.3608

    1.2644

    0.1681

    2.0717

    3.0717

    -5.9283

    0.9754

    -0.1210

    1.7826

    -2.2174

    5.6863

    -0.4101

    -1.5064

    -0.6028

    -2.6991

    -1.9882

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    5/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro H =[ 1 3 9 ]

    1 7 49

    1 11 121

    1 15 2251 18 324

    1 27 729

    1 29 841

    1 30 900

    1 30 900

    1 31 961

    1 31 961

    1 32 1024

    1 33 1089

    1 33 1089

    1 34 11561 36 1296

    1 36 1296

    1 36 1296

    1 37 1369

    1 38 1444

    1 39 1521

    1 39 1521

    1 39 1521

    1 40 1600

    1 41 1681

    1 42 1764

    1 42 1764

    1 43 1849

    1 44 1936

    1 45 2025

    1 46 2116

    1 47 2209

    1 50 2500

    ...

    .. .Persamaan polinomial orde dua :

    y = 0.0028x2+ 0.7504x + 5.4281

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    6/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    [ 7.7047]

    10.8196

    14.0252

    17.321519.8532

    27.7546

    29.5728

    30.4904

    30.4904

    31.4137

    31.4137

    32.3426

    33.2772

    33.2772

    34.217536.1151

    36.1151

    36.1151

    37.0724

    38.0354

    39.0040

    39.0040

    39.0040

    39.9783

    40.9583

    41.9439

    41.9439

    42.9352

    43.9322

    44.9349

    45.9432

    46.9572

    50.0332

    =

    [ 2.7047 ]

    -0.1804

    -6.9748

    1.3215

    3.8532

    -0.2454

    2.5728

    5.4904

    -4.5096

    1.4137

    -8.5863

    0.3426-0.7228

    1.2772

    0.2175

    -0.8849

    -1.8849

    2.1151

    1.0724

    0.0354

    2.0040

    3.0040

    -5.99600.9783

    -0.0417

    1.9439

    -2.0561

    5.9352

    -0.0678

    -1.0651

    -0.0568

    -2.0428

    -0.9668

    .

    Akumulasi kuadrat error :

    Error rata-rata :

    9.6117

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    7/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    Persamaan Polinom orde tiga : H = [ 1 3 9 27 ]

    1 7 49 343

    1 11 121 1331

    1 15 225 3375

    1 18 324 5832

    1 27 729 19683

    1 29 841 24389

    1 30 900 27000

    1 30 900 27000

    1 31 961 29791

    1 31 961 29791

    1 32 1024 32768

    1 33 1089 35937

    1 33 1089 359371 34 1156 39304

    1 36 1296 46656

    1 36 1296 46656

    1 36 1296 46656

    1 37 1369 50653

    1 38 1444 54872

    1 39 1521 59319

    1 39 1521 59319

    1 39 1521 59319

    1 40 1600 64000

    1 41 1681 68921

    1 42 1764 74088

    1 42 1764 74088

    1 43 1849 79507

    1 44 1936 85184

    1 45 2025 91125

    1 46 2116 97336

    1 47 2209 103823

    1 50 2500 125000

    .... .. . .

    Persamaan Polinomial orde tiga :

    y = 0.0002x3- 0.0153x

    2+ 1.1741x + 3.2189

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    8/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    [ 6.6097 ]

    10.7640

    14.5763

    18.1303

    20.6768

    28.0817

    29.7467

    30.5897

    30.5897

    31.4414

    31.4414

    32.3033

    33.1765

    33.176534.0624

    35.8775

    35.8775

    35.8775

    36.8094

    37.7592

    38.7282

    38.7282

    38.7282

    39.7178

    40.729241.7638

    41.7638

    42.8229

    43.9078

    45.0198

    46.1602

    47.3304

    51.0322

    =

    [ 1.6097 ]

    -0.2360

    -6.4237

    2.1303

    4.6768

    0.0817

    2.7467

    5.5897

    -4.4103

    1.4414

    -8.5586

    0.3033

    -0.8235

    1.17650.0624

    -1.1225

    -2.1225

    1.8775

    0.8094

    -0.2408

    1.7282

    2.7282

    -6.2718

    0.7178

    -0.27081.7638

    -2.2362

    5.8229

    -0.0922

    -0.9802

    0.1602

    -1.6696

    0.0322

    .Akumulasi kuadrat error :Error rata-rata :

    9.4609

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    9/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    Dengan cara yang sama maka untuk mencari nilai error terkecil polinomial berikut adalah :

    Orde empat :

    Orde lima :

    [4]

    [.....]

    .

    .. . . .4y = -7E-06x

    4+ 0.0009x

    3- 0.0407x

    2+ 1.5074x + 2.0835

    Akumulasi kuadrat error :

    Error rata-rata :

    9.4354

    [

    45] [

    ...... ]

    ... . . .4 .5y = 4E-06x

    5- 0.0005x

    4+ 0.0249x

    3- 0.5597x

    2+ 6.0305x - 8.9618

    Akumulasi kuadrat error :

    Error rata-rata :

    8.6126

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    10/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    orde enam :

    GRAFIK

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = 0.9*x + 3.8

    data1

    linear

    [

    456]

    [....... ]

    .

    .. . . .4 .5 .6y = -1E-07x

    6+ 2E-05x

    5- 0.0018x

    4+ 0.0656x

    3- 1.1678x

    2+ 10.017x - 16.964

    Akumulasi kuadrat error :

    Error rata-rata :

    8.405

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    11/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = 0.0028*x2+ 0.75*x + 5.4

    data1

    quadratic

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = 0.00022*x3- 0.015*x2+ 1.2*x + 3.2

    data1

    cubic

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    12/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = - 6.6e-06*x4+ 0.00093*x3- 0.041*x2+ 1.5*x + 2.1

    data1

    4th degree

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = 3.5e-06*x

    5

    - 0.00049*x

    4

    + 0.025*x

    3

    - 0.56*x

    2

    + 6*x - 9

    data1

    5th degree

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    13/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = - 1.3e-07*x

    6

    + 2.5e-05*x

    5

    - 0.0018*x

    4

    + 0.066*x

    3

    - 1.2*x

    2

    + 10*x - 17

    data1

    6th degree

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = - 2.6e-08*x7

    + 4.7e-06*x6

    - 0.00035*x5

    + 0.013*x4

    - 0.24*x3

    + 2.2*x2- 7.1*x + 12

    data1

    7th degree

  • 7/25/2019 Tugas Pemodelan - Model Regresi Polinomial

    14/14

    Afham Ramadhan Kuliah Pemodelan dan Rekayasa Sistem

    S2 Teknik Elektro

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = 1.5e-09*x8- 3.6e-07*x7+ 3.5e-05*x6- 0.0018*x5+ 0.054*x4-

    0.91*x3+ 8.2*x2- 33*x + 51

    data1

    8th degree

    0 5 10 15 20 25 30 35 40 45 505

    10

    15

    20

    25

    30

    35

    40

    45

    50

    55

    y = - 1.8e-10*x

    9

    + 4.6e-08*x

    8

    - 5e-06*x

    7

    + 0.0003*x

    6

    - 0.011*x

    5

    + 0.25*x4- 3.4*x3+ 26*x2- 1e+02*x + 1.4e+02

    data1

    9th degree