Kajian Status hara Tanah Hubungannya dengan Produksi Tanaman Salak (Salacca Sumatrana )

  

Lampiran 1. Data Pengamatan Hasil Analisa Hara Tanah dan Produksi Pada

Tigapuluh Sampel Tanaman Salak.

PARAMETER PEUBAH HARA TANAH PEUBAH PRODUKSI Sampel Ph N P K Mg Bobot

Rataan 6.3018 0.2122 14.466 0.321197 0.5344 17.0196

  PT3B 6.07 0.200 16.2640 0.101 0.553 5.8500

  PT2E 6.190 0.200 14.369 0.216 0.561 14.560

  PT2F 6.190 0.290 17.600 0.359 0.489 12.050

  PT2G 5.850 0.232 14.369 0.359 0.497 11.580

  PT2H 5.860 0.240 17.600 0.499 0.552 11.500

  PT2I 5.910 0.232 18.161 0.434 0.576 11.865

  PT2J 5.930 0.232 14.369 0.359 0.577 12.610

  PT3A 5.84 0.240 18.1610 0.1772 0.577 5.8195

  PT3E 6.03 0.200 16.2640 0.1772 0.564 7.9500

  PT3C 6.25 0.200 20.0590 0.393 0.585 5.8195 PT3D 5.86 0.200 16.4397 0.254 0.449 6.6000

  PT2C 5.880 0.200 17.600 0.433 0.493 12.010

  PT3F 6.07 0.290 16.2640 0.1772 0.548 6.6250

  PT3G 6.1 0.150 16.2640 0.114 0.541 7.2000

  PT3H 6.43 0.240 18.1610 0.1772 0.581 5.6500

  PT3I 5.86 0.200 16.4397 0.141 0.427 6.0400

  PT3J 6.27 0.180 16.4397 0.279 0.563 7.3300

  Rataan 6.078 0.21 17.07561 0.19908 0.5388 6.6884

  PT2D 6.140 0.232 14.369 0.359 0.480 11.305

  PT2B 6.200 0.200 17.600 0.420 0.507 15.350

  (H

  6.44

  2 O) (%) (ppm) (me/100) (me/100) (Gr/Phn) PT 1A

  6.192

  0.24 14.37 0.279 0.525 16.700 PT1B

  6.42 0.226 15.32 0.338 0.593 16.650 PT1C

  6.192

  0.18 14.37 0.3417 0.592 17.850 PT1D

  6.192

  0.19 12.48 0.237 0.564 17.880 PT1E

  0.24 14.37 0.376 0.578 16.850 PT1F

  PT2A 6.220 0.240 16.264 0.216 0.580 11.850

  6.36

  0.25 16.26 0.30227 0.397 16.649 PT1G

  6.45

  0.19 15.32 0.386 0.515 17.670 PT1H

  6.15

  0.21 15.32 0.439 0.534 16.649 PT1I

  6.192 0.226 12.48 0.209 0.547 16.649 PT1J

  6.43

  0.17 14.37 0.304 0.499 16.649

Rataan 6.037 0.2298 16.2301 0.36548 0.5312 12.468

  

Lampiran 2. Data Hasil Pengamatan Produksi Salak Pada 30 Tanaman Sampel

SAMPEL Produksi/phn/3 bln (Gr) Produksi/phn/ thn(Kg) Produksi/ha/ tahun(Ton) PT1A 16.700 50,1 40,08

PT1B

PT1C

PT1D

PT1E

PT1F

PT1G

PT1H

PT1I

PT1J

PT2A

PT2B

PT2C

PT2D

PT2E

PT2F

PT2G

PT2H

PT2I

PT2J

PT3A

PT3B

PT3C

PT3D

PT3E

PT3F

PT3G

PT3H

PT3I

  7.3300 21,99 19,55 RATAAN 11.437 17,463 20.639

  16.650 49,95 39,96

  14.560 43,680 38,83

  17.850 53,55 42,91

  17.880 53,64 40,44

  16.850 50,55 39,96

  16.649 49,95 39,96

  17.670 53,01 42,41

  16.649 49,95 39,96

  16.649 49,95 39,96

  16.649 49,95 39,96

  11.850 35,550 31,60

  15.350 46,050 40,93

  12.010 36,030 32,03

  11.305 33,915 30,15

  12.050 36,150 32,13

  6.0400 18,12 16,11

  11.580 34,740 30,88

  11.500 34,500 30,67

  11.865 35,595 31,64

  12.610 37,830 33,63

  5.8195 15,52 12,41

  5.8500 17,55 15,60

  5.8195 17,46 15,52

  6.6000 19,8 17,60

  7.9500 23,85 21,20

  6.6250 19,88 17,67

  7.2000 21,6 19,20

  5.6500 16,95 15,07

PT3J

  

Lampiran 3. Rataan Hari hujan, Curah hujan dan Suhu Udara di desa

Lobulayan Kec. Angkola Barat Pada Bulan Juni – Agustus 2013 (BPP Angkola Barat, 2013) NO BULAN TAHUN 2013 SUHU UDARA(C o ) Curah Hujan Hari Hujan

  1 Juli 109

  11

  27

  2 Agustus 103

  10

  28

  3 September 124

  15

  28 Rataan 112 12 27,67

  

Lampiran 4. Neraca Air DalamPenentuanSurplus Dan Defisit Didesa

LobulayanKecamatan Angkola Barat

BULAN HH CH CP ET KA CA DN DA

  Januari 18 340 200 120 420 - 200 220 11 259 200 120 339 200 139

• Februari Maret

  15 310 200 - 120 390 200 190 11 254 200 120 334 200 134

• April Mei

  13

• 103 200 120 183 183 Juni

  14 143 183 120 206 200 6 -

• 15 106 200 120 186 186
• Juli Agustus

  

11 171 186 120 237s 200 -

  37 September 15 173 200 120 253 200

  53 - Oktober 15 213 200 120 293 - 200

  93 24 452 200 120 532 200 332

• November Desember

  24 244 200 - 120 324 200

  24 Keterangan : HH : Hari hujan CH : Curah hujan CP : Kapsitas Potensial ET : Evapotranspirasi KA : Kandungan Air tanah CA : Cadangan Air tanah DN : Drainase DA : Defisit Air

  

Lampiran5.Tabel Rataan Tah hari hujan dan Curah Hujan Di Kecamatan

Angkola Barat (BPP Angkola Barat, 2013)

TAHUN HARI HUJAN CURAH HUJAN (mm) SUHU (C o ) RH Rata- Rata (%)

  27

  71 2009 185 2448

  71

  26

  71 Rataan 172,1 173,7

  26

  71 2013 185 2085

  27

  71 2012 178 2390

  26

  72 2011 174 2910

  25

  71 2010 183 2740

  25

  25

  71 2002 124 2110

  2001 109 1604

  27

  72 2007 170 2362

  26

  74 2006 144 2036

  25

  73 2005 118 1705

  26

  72 2004 149 2422

  27

  71 2003 186 2802

  26

  71 2008 173 2594

Lampiran 6. Hasil Analisis Hubungan pH dengan Produksi pada Tanaman salak berproduksi Tinggi (PT1)

  Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .150 .022 -.100 .57119 1.763

  a. Predictors: (Constant), pH

  b. Dependent Variasble: Produksi

  b ANOVA Model Sum of Squares df Mean Square F Sig. a

  1 Regression .060 1 .060 .183 .680 Residual

  2.610 8 .326 Total

  2.670

  9

  a. Predictors: (Constant), pH

  b. Dependent Variable: Produksi

Coefficients

  Unstandardized Standardized Collinearity Coefficients Coefficients Statistics

  Model B Std. Error Beta T Sig. Tolerance VIF 1(Constant)

  21.049 9.418 2.235 .056 pH -.639 1.494 -.150 -.428 .680 1.000 1.000 a. Dependent Variable: Produksi

Lampiran 7.Hasil Analisis Hubungan pH dengan produksi padaTanaman salak berproduksi Sedang ( PT2)

Coefficients

  B Std. Error Beta Tolerance VIF 1(Constant)

  b. Dependent Variable: Produksi

  a. Predictors: (Constant), pH

  .233 .137 1.27356 2.853

  a

  Std. Error of the Estimate Durbin-Watson 1 .482

  Adjusted R Square

  a. Dependent Variable: Produksi Model R R Square

  4.083 2.622 .482 1.558 .158 1.000 1.000

  Collinearity Statistics

  Model Summary ANOVA b Model Sum of Squares Df Mean Square F Sig.

  Standardized Coefficients T Sig.

  Model Unstandardized Coefficients

  b. Dependent Variable: Produksi

  a. Predictors: (Constant), pH

  9

  Total 16.911

  Residual 12.976 8 1.622

  a

  1 Regression 3.935 1 3.935 2.426 .158

• 12.183 15.831 -.770 .464 pH

Lampiran 8. Hasil AnalisisHubungan pH dengan produkasi pada tanaman salak berproduksi Rendah ( PT3)

  Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .048 .002 -.122 .83484 1.551

  a. Predictors: (Constant), pH

  b. Dependent Variable: Produksi

  b ANOVA Model Sum of Squares Df Mean Square F Sig. a

  1 Regression .013 1 .013 .018 .896 Residual

  5.576 8 .697 Total

  5.588

  9

  a. Predictors: (Constant), pH

  b. Dependent Variable: Produksi

  Coefficients

  Unstandardize Standardized d Coefficients Coefficients Collinearity Statistics Model BStd. Error Beta T Sig. Tolerance

  VIF 1(Constant) 7.659

  8.643 .886 .401 pH -.193 1.421 -.048 -.136 .896 1.000 1.000 a. Dependent Variable: Produksi

Lampiran 9. Hasil Analisis Hubungan Nitrogen dengan Produksi pada tanaman salak berproduksi Tinggi (PT1). Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .590 .349 .267 .46626 1.106

ANOVA

  Sum Model of Squares Df Mean Square F Sig.

  a

  1 Regression .931 1 .931 4.281 .072 Residual

  1.739 8 .217 Total

  2.670

  Unstandardized Standardized Collinearity Coefficients Coefficients Statistics

  Model B Std. Error Beta T Sig. Tolerance VIF 1(Constant)

  19.438 1.178 16.498 .000 Nitrogen -11.398 5.509 -.590 -2.069 .072 1.000 1.000

  a. Dependent Variable: Produks

Lampiran 10.Hasil Analisis Regresi Hubungan Nitrogen dengan Produkasi salakPada tanaman berproduksi Sedang ( PT2)

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .547 .299 .211 1.21747 2.312

  a. Predictors: (Constant), Nitrogen

  b. Dependent Variable: Produksi

  b ANOVA Model Sum of Squares Df Mean Square F Sig. a

  1 Regression 5.053 1 5.053 3.409 .102 Residual

  11.858 8 1.482 Total

  16.911

  9

  a. Predictors: (Constant), Nitrogen

  b. Dependent Variable: Produksi

Coefficients

  Unstandardized Standardized Collinearity Coefficients Coefficients Statistics Std.

  Model B Error Beta t Sig. Tolerance VIF 1(Constant)

  18.867 3.487 5.410 .001 Nitrogen -27.848 15.083 -.547 -1.846 .102 1.000 1.000

  a. Dependent Variable: Produksi

  

Lampiran 11. Hasil Analisis Regresi Hubungan Nitrogen dengan produksi pada

tanaman salak berproduksi Rendah ( PT3).

  Model Summary

  Adjusted R Std. Error of the Durbin- Model R R Square Square Estimate Watson

  a

  1 .370 .137 .029 .77658 1.080

  a. Predictors: (Constant), Nitrogen

  b. Dependent Variable: Produksi

  b ANOVA Model Sum of Squares Df Mean Square F Sig. a

  1Regression .764 1 .764 1.266 .293 Residual

  4.825 8 .603 Total

  5.588

  9

  a. Predictors: (Constant), Nitrogen

  b. Dependent Variable: Produksi Coefficits

  Unstandardized Standardized Collinearity Coefficients Coefficients Statistics

  Model B Std. Error Beta T Sig. Tolerance VIF 1(Constant) 8.086

  1.441 5.613 .001 Nitrogen -7.607 6.759 -.370 -1.125 .293 1.000 1.000

  a. Dependent Variable: Produksi

  

Lampiran 12. Hasil Analisa hubungan Fosfor dengan Produksi pada tanaman

salak berproduksi tinggi ( PT1) Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .287 .082 -.032 .55340 1.583

  a. Predictors: (Constant), Fosfor

  b. Dependent Variable: Produksi

  ANOVA Model Sum of Squares Df Mean Square F Sig. a

  1 Regression .220 1 .220 .717 .422 Residual

  2.450 8 .306 Total

  2.670

  9

  a. Predictors: (Constant), Fosfor

  b. Dependent Variable: Produksi Unstandardized Standardized Coefficients Coefficients Collinearity Statistics

  Model B Std. Error Beta t Sig. Tolerance

  VIF 1(Constant)

  18.877 2.200 8.582 .000 Fosfor

• .128 .152 -.287 -.847 .422 1.000 1.000

  a. Dependent Variable: Produksi

  

Lampiran 13 .Hasil Analisis hubungan Fosfor dengan produksi pada tanaman

berproduksi Sedang (PT2).

  Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .005 .000 -.125 1.45389 2.466

  a. Predictors: (Constant), Fosfor Coefficients

  b. Dependent Variable: Produksi Standardized Collinearity

  Unstandardized Coefficients Coefficients Statistics sModel B Std. Error Beta T Sig. Tolerance VIF 1(Constant) 12.535

  4.733 2.648 .029 Fosfor -.004 .290 -.005 -.014 .989 1.000 1.000

  b ANOVA Model Sum of Squares Df Mean Square F Sig. a

  1 Regression .000 1 .000 .000 .989 Residual

  16.910 8 2.114 Total

  16.911

  9

  a. Predictors: (Constant), Fosfor

  b. Dependent Variable: Produksi

  

Lampiran 14. TabelHasil Analisishubungan Fosfor denganProduksi pada

Tanamanberproduksi Rendah(PT3) Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .578 .334 .251 .68212 2.305

  a. Predictors: (Constant), Fosfor

  a. Dependent Variable: Produksi ANOVA Model Sum of Squares Df Mean Square F Sig.

  a

  1 Regression 1.866 1 1.866 4.011 .080 Residual

  3.722 8 .465 Total

  5.588

  9

  a. Predictors: (Constant), Fosfor

  b. Dependent Variable: Produksi

Coefficie nts

  Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta T Sig.

  1 (Constant) 12.490 3.005 4.157 .003

  Fosfor -.351 .176 -.578 -2.003 .080

  a. Dependent Variable: Produksi

Lampiran 15.Hasil Analisis hubungan Kalium dengan Produksi pada Tanaman berproduksi Tinggi (PT1)

  Model Summary ANOVA b Model Sum of Squares Df Mean Square F Sig.

  Std. Error of the Estimate Durbin-Watson 1 .287

  a

  Residual 2.450 8 .306

  Total 2.670

  9

  a. Predictors: (Constant), Kalium

  b. Dependent Variable: Produksi

  b. Dependent Variable: Produksi

  a. Predictors: (Constant), Kalium

  1 Regression .220 1 .220 .717 .422

  .082 -.032 .55340 1.583

  a

  Model R R Square Adjusted R Square

Coeficients

  18.877 2.200 8.582 .000 Kalium -.128 .152 -.287 -.847 .422 1.000 1.000

  VIF 1(Constant)

  Collinearity Statistics

  Standardized Coefficients T Sig.

  Model Unstandardized Coefficients

  B Std. Error Beta Tolerance

Lampiran 16. Hasil Analisis Regresi Hubungan Kalium dengan Produksi pada Tanaman berproduksi Sedang (PT2) Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .222 .049 -.070 1.41770 2.596

  a. Predictors: (Constant), Kalium

  b. Dependent Variable: Produksi

  ANOVA Model Sum of Squares Df Mean Square F Sig. a

  1 Regression .832 1 .832 .414 .538 Residual

  16.079 8 2.010 Total

  16.911

  9

  a. Predictors: (Constant), Kalium

  b. Dependent Variable: Produksi

Coefficients

  Unstandardized Standardized Collinearity Coefficients Coefficients Statistics

  Model B Std. Error Beta T Sig. Tolerance VIF 1(Constant)

  13.686 1.945 7.036 .000 Kalium -3.332 5.180 -.222 -.643 .538 1.000 1.000

  a. Dependent Variable: Produksi

Lampiran 17. Hasil Analisis hubungan Kalium dengan Produksi pada tanaman berproduksi Rendah ( PT3)

Coefficients

  B Std. Error Beta Tolerance VIF 1(Constant)

  b. Dependent Variable: Produksi

  a. Predictors: (Constant), Kalium

  .002 -.122 .83481 1.542

  a

  Std. Error of the Estimate Durbin-Watson 1 .049

  Adjusted R Square

  a. Dependent Variable: Produksi Model R R Square

  6.575 .685 9.600 .000 Kalium

  Collinearity Statistics

  Model Summary ANOVA b Model Sum of Squares Df Mean Square F Sig.

  Standardized Coefficients T Sig.

  Model Unstandardized Coefficients

  b. Dependent Variable: Produksi

  a. Predictors: (Constant), Kalium

  9

  Total 5.588

  Residual 5.575 8 .697

  a

  1 Regression .013 1 .013 .019 .894

• .437 3.175 -.049 -.138 .894 1.000 1.000

Lampiran 18.Hasil Analisis Regresi Hubungan Magnesium dengan Produksi pada tanaman berproduksi Tinggi (PT1)

  Model Summary

  Std. Error of the Model R R Square Adjusted R Square Estimate Durbin-Watson

  a

  1 .331 .110 -.002 .54510 1.864 a.Predictors: (Constant), Magnesium

  b. Dependent Variable: Produksi Unstandardized Standardized Collinearity Coefficients Coefficients Statistics

  Model B Std. Error Beta t Sig. Tolerance

  VIF 1(Constant) 15.358

  1.683 9.127 .000 Magnesium

  3.109 3.132 .331 .993 .350 1.000 1.000

  a. Dependent Variable: Produksi

  Coefficients b ANOVA Model Sum of Squares Df Mean Square F Sig. a

  1Regression .293 s1 .293 .985 .350 Residual

  2.377 8 .297 Total

  2.670

  9

  a. Predictors: (Constant), Magnesium

  b. Dependent Variable: Produksi

  .Hasil Analisis Regresi hubungan Magnesium dengan produksi Lampiran 19 pada tanaman berproduksi Sedang (PT2).

  Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .092 .008 -.116 1.44778 2.410

  a. Predictors: (Constant), Magnesium

  b. Dependent Variable: Produksi

  ANOVA Model Sum of Squares Df Mean Square F Sig. a

  1 Regression .142 1 .142 .068 .801 Residual

  16.768 8 2.096 Total

  16.911

  9

  a. Predictors: (Constant), Magnesium

  b. Dependent Variable: Produksi

Coefficients

  Unstandardized Standardized Collinearity Coefficients Coefficients Statistics

  Model B Std. Error Beta T Sig. Tolerance VIF 1(Constant)

  10.855 6.209 1.748 .119 Magnesium

  3.037 11.658 .092 .261 .801 1.000 1.000

  a. Dependent Variable: Produksi

Model Summary

  Total 5.588

  Model R R Square Adjusted R Square

  Std. Error of the Estimate Durbin-Watson 1 .002

  a

  .000 -.125 .83579 1.565

  ANOVA Model Sum of Squares Df Mean Square F Sig.

  1 Regression .000 1 .000 .000 .996

  a

  Residual 5.588 8 .699

  

Lampiran 20. Hasil Analisis Regresi Hubungan Magnesium dengan Produksi pada

tanaman berproduksi Rendah (PT3)

  9

  a. Predictors: (Constant), Magnesium

  c. Dependent Variable: Produksi

Coefficients

  Standardized Coefficients t Sig.

  Collinearity Statistics

  B Std. Error Beta Tolerance VIF 1(Constant)

  6.504 2.731 2.381 .044 Magnesiu m

  Model Unstandardized Coefficients

• .028 5.045 -.002 -.006 .996 1.000 1.000

Lampiran 21. HasilAnalisisRegresi Berganda hubungan status hara pada tanaman berproduksi Tinggi (PT1)

Model Summary

  Model R R Square Adjusted R Square

  Std. Error of the Estimate Durbin-Watson 1 .629

  a

  .395 -.361 .63543 1.074 Model Sum of Squares Df Mean Square F Sig.

  Regression 1.055 5 .211 .522 .754

  a

  Residual 1.615 4 .404

  Total 2.670

  Model Unstandardized Coefficients

  Standardized Coefficients t Sig. B Std. Error Beta

  1(Constant) 20.948 11.797 1.776 .150 pH -.421 1.899 -.099 -.222 .835

  Nitrogen -10.660 8.430 -.552 -1.265 .275 Fosfor .014 .404 .032 .035 .974 Kalium -.521 5.803 -.067 -.090 .933 Magnesium 1.777 5.443 .189 .326 .760

  a. Dependent Variable: Produksi

Lampiran 22. Hasil Analisis Regresi Berganda Status hara dengan Tanaman salakberproduksi Sedang (PT2)

  .644 .199 1.22658 2.048 Model

  Magnesium 6.393 11.775 .193 .543 .616 .704 1.421

  Kalium 5.536 9.286 .368 .596 .583 .233 4.293

  6.626 4.080 .783 1.624 .180 .383 2.611 Nitrogen

  VIF 1(Constant) -25.115 27.960 -.898 .420 pH

  B Std. Error Beta Toleranc e

  Collinearity Statistics

  Unstandardized Coefficients Standardized Coefficients T Sig.

  a

  Model Summary ANOVA

  Std. Error of the Estimate Durbin-Watson 1 .803

  Model R R Square Adjusted R Square

  Total 16.911

  Residual 6.018 4 1.504

  a

  1Regression 10.893 5 2.179 1.448 .371

  Model Sum of Squares df Mean Square F Sig.

• 30.780 15.553 -.604 -1.979 .119 .955 1.048 Fosfor -.047 .364 -.057 -.129 .903 .452 2.210

  

Lampiran 23. Hasil Analisis Regresi Berganda Status hara dengan Produksi pada

Tanaman berproduksi Rendah (PT3) Model Summary

  Adjusted R Std. Error of the Model R R Square Square Estimate Durbin-Watson

  a

  1 .863 .744 .424 .59807 1.798

ANOVA

  Sum of Model Squares df Mean Square F Sig.

  a

  1 Regression 4.158 5 .832 2.325 .217 Residual

  1.431 4 .358 Total

  5.588

  Unstandardized Standardized Coefficients Coefficients Collinearity Statistics

  Model B Std. Error Beta T Sig. Tolerance VIF 1(Constant)

  18.748 7.567 2.478 .068 pH

• .773 1.364 -.192 -.566 .601 .557 1.795 Nitrogen -5.812 5.439 -.282 -1.069 .345 .916 1.092

  Fosfor

• .697 .231 -1.146 -3.023 .039 .445 2.247 Kalium

  5.726 3.146 .637 1.820 .143 .523 1.913 Magnesium

  8.210 5.140 .575 1.597 .185 .493 2.027

Lampiran 24. Hasil Analisis Regresi Stepwise Status hara dengan Produksi pada Tanaman berproduksi Tinggi (PT1)

  10

  10 Fosfor

  10

  10

  10

  10

  10

  10 Kalium

  10

  10

  10

  10

  10

  10 Magnesi um

  10

  10

  10

  10

  10

  10

  10

  Mean Std. Deviation N Produksi 17.0196 .54465

  10 pH 6.3018 .12742

  10

  10 Nitrogen .2122 .02821

  10 Fosfor 14.4660 1.21708

  10 Kalium .3212 .06984

  10 Magnesium .5344 .05801

  10 produksi pH Nitrogen Fosfor Kalium Magnesium Pearson Correlation produksi 1.000 -.150 -.590 -.287 -.012 .331 pH -.150 1.000 .022 .454 .274 -.185

  Nitrogen -.590 .022 1.000 .250 -.081 -.261 Fosfor -.287 .454 .250 1.000 .686 -.476 Kalium -.012 .274 -.081 .686 1.000 .081 Magnesi um

  .331 -.185 -.261 -.476 .081 1.000 Sig. (1-tailed) produksi . .340 .036 .211 .487 .175 pH .340 . .476 .094 .222 .304

  Nitrogen .036 .476 . .243 .411 .233 Fosfor .211 .094 .243 . .014 .082 Kalium .487 .222 .411 .014 . .412 Magnesi um

  .175 .304 .233 .082 .412 . N produksi 10

  10

  10

  10

  10

  10 pH

  10

  10

  10

  10

  10

  10 Nitrogen 10

  10

Lampiran 25. Hasil Analisis Regresi Stepwise Status hara dengan Produksi pada Tanaman berproduksi Sedang (PT2). Descriptive Statistics

  10

  10

  10 Fosfor

  10

  10

  10

  10

  10

  10 Kalium

  10

  10

  10

  10

  10

  10 Magnesium 10

  10

  10

  10

  10

  10

  10

  Mean Std. Deviation N Produksi 12.4680 1.37075

  10 pH 6.0370 .16194

  10

  10 Nitrogen .2298 .02691

  10 Fosfor .2298 .02691

  10 Kalium .3654 .09123

  10 Magnesium .5312 .04140

  10 Correlations Produksi pH Nitrogen Fosfor Kalium Magnesium

  Pearson Correlation Produksi 1.000 .482 -.547 -.547 -.222 .092 pH .482 1.000 .098 .098 -.632 -.067 Nitrogen -.547 .098 1.000 1.000 .017 -.085 Fosfor -.547 .098 1.000 1.000 .017 -.085 Kalium -.222 -.632 .017 .017 1.000 -.273 Magnesium .092 -.067 -.085 -.085 -.273 1.000

  Sig. (1-tailed) Produksi . .079 .051 .051 .269 .401 pH .079 . .394 .394 .025 .427 Nitrogen .051 .394 . .000 .482 .408 Fosfor .051 .394 .000 . .482 .408 Kalium .269 .025 .482 .482 . .223 Magnesium .401 .427 .408 .408 .223 . N Produksi

  10

  10

  10

  10

  10

  10 pH

  10

  10

  10

  10

  10

  10 Nitrogen

  10

  

Lampiran 26. Hasil Analisis Regresi Stepwise Status hara dengan Produksi pada

Tanaman berproduksi Rendah (PT3).

  10 Kalium

  10

  10

  10

  10 Fosfor

  10

  10

  10

  10

  10

  10

  10

  10

  10

  10

  10

  10 Magnesium 10

  10

  10

  10

  10

  10

  10 Nitrogen

  Descriptive Statistics

  Sig. (1-tailed) Produksi . .448 .147 .040 .447 .498 pH .448 . .482 .152 .196 .026 Nitrogen .147 .482 . .339 .462 .308 Fosfor .040 .152 .339 . .021 .090 Kalium .447 .196 .462 .021 . .298 Magnesium .498 .026 .308 .090 .298 . N Produksi

  Mean Std. Deviation N Produksi 6.4884 .78800

  10 pH 6.0780 .19578

  10 Nitrogen .2100 .03830

  10 Fosfor 17.0756 1.29549

  10 Kalium .1991 .08766

  10 Magnesium .5388 .05523

  10 Correlations Produksi pH Nitrogen Fosfor Kalium Magnesium

  Pearson Correlation

  Produksi 1.000 -.048 -.370 -.578 -.049 -.002 pH -.048 1.000 -.016 .362 .305 .626 Nitrogen -.370 -.016 1.000 .150 -.035 .181 Fosfor -.578 .362 .150 1.000 .652 .461 Kalium -.049 .305 -.035 .652 1.000 .192 Magnesium -.002 .626 .181 .461 .192 1.000

  10

  10

  10

  10

  10

  10

  10 pH

  10

  10

  10

  10

  10

  DOKUMENTASI KEGIATAN PENELITIAN DILAPANGAN Wawancara dengan petani salak Identifikasi Tanaman untuk sampel penelitian

  Penentuan Tanaman Sampel Sampel Tanaman salak Berproduksi Tinggi (PT1)

  Pengambilan sampel tanah dengan bor Belgie Mengambil data dan informasi tanaman sampel

  Menimbang produksi tanaman sampel