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Pengujian Arang Tempurung Sebagai Bahan Pelindung Terhadap Spodoptera litura Nucleopolyhedrovirus(SpltNPV) Untuk Mengendalikan Spodoptera Litura Fabr. (Lepidoptera : Noctuide) di Laboratorium

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Academic year: 2017

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LAMPIRAN

Lampiran 1. Data pengamatan dan daftar sidik ragam persentase berhenti makanSpodoptera litura

Data pengamatan persentase berhenti makan Spodoptera litura8 JSA BERHENTI MAKAN 8 JSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase berhenti makan Spodoptera litura8 JSA

(2)

Waktu N

Uji jarak duncan faktor bahan pelindung

(3)

Data pengamatan persentase berhenti makan Spodoptera litura12 JSA BERHENTI MAKAN 12 JSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase berhenti makan Spodoptera litura12 JSA

(4)

T N

Uji jarak duncan faktor bahan pelindung

(5)

Data pengamatan persentase berhenti makan Spodoptera litura16 JSA BERHENTI MAKAN 16 JSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase berhenti makan Spodoptera litura16 JSA

(6)

T N

Uji jarak duncan faktor bahan pelindung

(7)

Data pengamatan persentase berhenti makan Spodoptera litura20 JSA BERHENTI MAKAN 20 JSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase berhenti makan Spodoptera litura20 JSA

(8)

T N

Uji jarak duncan faktor bahan pelindung

(9)

Data pengamatan persentase berhenti makan Spodoptera litura24 JSA BERHENTI MAKAN 24 JSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase berhenti makan Spodoptera litura24 JSA

(10)

T N

Uji jarak duncan faktor bahan pelindung

(11)

Lampiran 2. Data pengamatan dan daftar sidik ragam persentase mortalitasSpodoptera litura

Data pengamatan persentase mortalitas Spodoptera litura2 HSA MORTALITAS 2 HSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase mortalitas Spodoptera litura2 HSA

(12)

T N

Uji jarak duncan faktor bahan pelindung

(13)

Data pengamatan persentase mortalitas Spodoptera litura3 HSA MORTALITAS 3 HSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase mortalitas Spodoptera litura3 HSA

(14)

T N

Uji jarak duncan faktor bahan pelindung

(15)

Data pengamatan persentase mortalitas Spodoptera litura4 HSA MORTALITAS 4 HSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase mortalitas Spodoptera litura4 HSA

(16)

T N

Uji jarak duncan faktor bahan pelindung

(17)

Data pengamatan persentase mortalitas Spodoptera litura5 HSA MORTALITAS 5 HSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase mortalitas Spodoptera litura5 HSA

(18)

T N

Uji jarak duncan faktor bahan pelindung

(19)

Data pengamatan persentase mortalitas Spodoptera litura6 HSA MORTALITAS 6 HSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase mortalitas Spodoptera litura6 HSA

(20)

T N

Uji jarak duncan faktor bahan pelindung

(21)

Data pengamatan persentase mortalitas Spodoptera litura7 HSA MORTALITAS 7 HSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase mortalitas Spodoptera litura7 HSA

(22)

T N

Uji jarak duncan faktor bahan pelindung

(23)

Data pengamatan persentase mortalitas Spodoptera litura8 HSA MORTALITAS 8 HSA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase mortalitas Spodoptera litura8 HSA

(24)

T N

Uji jarak duncan faktor bahan pelindung

(25)

Lampiran 3. Hasil uji lanjut interaksi antara lama penjemuran dengan bahan pelindung setelah aplikasi terhadap persentase mortalitas larva S. litura.

Data interaksi mortalitas Spodoptera litura4 HSA Duncana,b,c

Means for groups in homogeneous subsets are displayed.

Based on observed means.

The error term is Mean Square(Error) = 27,778.

a. Uses Harmonic Mean Sample Size = 3,000.

b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error

levels are not guaranteed.

(26)

Duncana,b,c

Means for groups in homogeneous subsets are displayed.

Based on observed means.

The error term is Mean Square(Error) = 30,556.

a. Uses Harmonic Mean Sample Size = 3,000.

b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error

levels are not guaranteed.

c. Alpha = ,05.

(27)

Data interaksi mortalitas Spodoptera litura6 HSA

Means for groups in homogeneous subsets are displayed.

Based on observed means.

The error term is Mean Square(Error) = 27,778.

a. Uses Harmonic Mean Sample Size = 3,000.

b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error

levels are not guaranteed.

(28)

Duncana,b,c

Means for groups in homogeneous subsets are displayed.

Based on observed means.

The error term is Mean Square(Error) = 30,556.

a. Uses Harmonic Mean Sample Size = 3,000.

b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not

guaranteed.

c. Alpha = ,05.

(29)

Data interaksi mortalitas Spodoptera litura8 HSA

Means for groups in homogeneous subsets are displayed.

Based on observed means.

The error term is Mean Square(Error) = 41,667.

a. Uses Harmonic Mean Sample Size = 3,000.

b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not

guaranteed.

(30)

Data pengamatan persentase pupaSpodoptera litura PERSENTASE PUPA

PERLAKUAN ULANGAN Total Rataan

1 2 3

Daftar sidik ragam persentase pupa Spodoptera litura

(31)

Uji jarak duncan faktor bahan pelindung

V N Subset

1 2 3

V0 9 22,2222

V1 9 24,4444 24,4444

V2 9 30,0000

V3 9 38,8889

(32)

Hasil analisis probit LT50 pada konsentrasi 0 gr bahan pelindungSpltNPV

terhadap waktu mortalitas larvaSpodoptera litura

Data Information

N of Cases

Valid 8

Rejected Missing 0

Number of Responses > Number of Subjects 0

Control Group 0

Parameter Estimate Std. Error Z Sig. 95% Confidence Interval

Lower Bound Upper Bound

PROBITa

TIME ,337 ,027 12,582 ,000 ,284 ,389

Intercept -2,289 ,153 -14,924 ,000 -2,442 -2,135

a. PROBIT model: PROBIT(p) = Intercept + BX

Chi-Square Tests

Chi-Square dfb Sig.

PROBIT Pearson Goodness-of-Fit Test 5,464 6 ,486a

a. Since the significance level is greater than ,150, no heterogeneity factor is used in the

calculation of confidence limits.

b. Statistics based on individual cases differ from statistics based on aggregated cases.

Cell Counts and Residuals

Number TIME Number of

Residual Probability

(33)

Confidence Limits

Probability 95% Confidence Limits for TIME

Estimate Lower Bound Upper

(34)
(35)

Hasil analisis probit LT50 pada konsentrasi 10 gr bahan pelindungSpltNPV

terhadap waktu mortalitas larvaSpodoptera litura

Data Information

N of Cases

Valid 8

Rejected Missing 0

Number of Responses > Number of Subjects 0

Control Group 0

Parameter Estimate Std. Error Z Sig. 95% Confidence Interval

Lower Bound Upper Bound

PROBITa TIME ,388 ,028 13,888 ,000 ,333 ,443

Intercept -2,468 ,160 -15,411 ,000 -2,628 -2,308

a. PROBIT model: PROBIT(p) = Intercept + BX

Chi-Square Tests

Chi-Square dfb Sig.

PROBIT Pearson Goodness-of-Fit Test 6,100 6 ,412a

a. Since the significance level is greater than ,150, no heterogeneity factor is used in the

calculation of confidence limits.

b. Statistics based on individual cases differ from statistics based on aggregated cases.

Cell Counts and Residuals

Number TIME Number of

Residual Probability

(36)

Probability 95% Confidence Limits for TIME

Estimate Lower Bound Upper Bound

(37)
(38)

Data Information

N of Cases

Valid 8

Rejected Missing 0

Number of Responses > Number of Subjects 0

Control Group 0

Parameter Estimate Std. Error Z Sig. 95% Confidence Interval

Lower Bound Upper Bound

PROBITa TIME ,407 ,027 14,885 ,000 ,353 ,460

Intercept -2,393 ,153 -15,679 ,000 -2,546 -2,240

a. PROBIT model: PROBIT(p) = Intercept + BX

Chi-Square Tests

Chi-Square dfb Sig.

PROBIT Pearson Goodness-of-Fit Test 6,637 6 ,356a

a. Since the significance level is greater than ,150, no heterogeneity factor is used in the

calculation of confidence limits.

b. Statistics based on individual cases differ from statistics based on aggregated cases.

Cell Counts and Residuals

Number TIME Number of

Residual Probability

(39)

Confidence Limits

Probability 95% Confidence Limits for TIME

Estimate Lower Bound Upper Bound

(40)
(41)

Hasil analisis probit LT50 pada konsentrasi 30 gr bahan pelindungSpltNPV

terhadap waktu mortalitas larvaSpodoptera litura

Data Information

N of Cases

Valid 8

Rejected Missing 0

Number of Responses > Number of Subjects 0

Control Group 0

Parameter Estimate Std. Error Z Sig. 95% Confidence Interval

Lower Bound Upper Bound

PROBITa TIME ,406 ,027 15,148 ,000 ,354 ,459

Intercept -2,306 ,147 -15,645 ,000 -2,454 -2,159

a. PROBIT model: PROBIT(p) = Intercept + BX

Chi-Square Tests

Chi-Square dfb Sig.

PROBIT Pearson Goodness-of-Fit Test 7,282 6 ,296a

a. Since the significance level is greater than ,150, no heterogeneity factor is used in the

calculation of confidence limits.

b. Statistics based on individual cases differ from statistics based on aggregated cases.

Cell Counts and Residuals

Number TIME Number of

Residual Probability

(42)

Probability 95% Confidence Limits for TIME

Estimate Lower Bound Upper Bound

(43)
(44)
(45)

Lampiran 7. Foto Penelitian

Foto perlakuan penelitian

T0V0 T1V0 T2V0

(46)

Foto gejala serangan Spodoptera litura Nucleopolyhedrovirus(SpltNPV)pada larva Spodoptera litura

a b

Gejala serangan padaSpodoptera litura(a) Larva dan (b) Pupa

T0V3 T1V3 T2V3

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