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135

Lampiran 1. Foto Jenis Karang yang Terukur di Lapangan

Goniopora.

Symphillia agaricia

Diploastrea heliopora

Porites sp.

Porites rus

Acropora nasuta

136

Pachyeris speciosa

Acropora palifera

Sinularia sp.1

Acropora valenceinnesi

Sinularia sp.2

Acropora farmosa

137

Leptoseris foliosa

138

Lampiran 2. Prosedur Pengoperasian Multispe ctral Radiometer (MSR) di Lapangan (1) Sambungkan kabel MSR87C-9 (yang panjangnya 9 kaki) dengan konektor DB25 -jantan ke radiometer dan ke kabel pita adapter MSRCA. Colokkan soket 26 pin betina adapter ke 26 pin jantan DLC. Strip coklat berada disisi kiri. (2) Kalau menggunakan terminal CT100, angkat sisi CT100B pada posisi yang baik. (3) Apabila menggunakan terminal CT100, colokkan kabel CT9M9M-5 ke konektorkonektor RS232 dari CT100 dan DLC. Atau, gunakan kabel yang pas dari komputer ke konektor DLC RS232. Gunakan obeng kecil, amankan konektorkonektor dengan mengencangkan sekerup-sekerup konektor. (4) Sesuaikan radiometer pada ketinggian yang cocok diatas target.

Diameter

cakupan pandangan adalah satu se tengah dari tinggi radiometer dari target. (5) Nyalakan komputer. Apabila menggunakan CT100, tekan tombol ON. (6) Untuk mematikan, pada MSR MAIN MENU ketik 10 dan tekan Enter. Tekan tombol OFF pada CT100. Melakukan Pembacaan Jika menggunakan laptop, jalankan program TERMINAL atau program komunikasi dan set parameter komunikasi untuk 8 data bits, no parity dan 9600 baud . Tekan Enter 3 kali dengan interval kira-kira 1 detik. Program MSR akan muncul di layar monitor. DATA LOGGER CONTROLLER (DLC) Copyright 1992-1994 by CROPSCAN INC. And DELTEK DEVELOPMENT MULTISPECTRAL RADIOMETER (MSR) Copyright 1992-1995 by CROPSCAN INC. MSR RPOGRAM 16 WAVELENGTHS Enter or M-Menu

Jumlah panjang gelombang yang ditunjukkan tergantung seberapa banyak channel yang diatur untuk perekaman. Jika radiometer telah disesuaikan, dikalibrasi, diatur untuk penelitian, dan lokasi telah dimasukkan, maka kita siap melanjutkan ke tahap analisa. Jika belum diatur untuk penelitian secara benar, tekan M untuk kembali ke MENU UTAMA dan atur ulang. Tekan Enter untuk melanjutkan program

139

RECORD: 1 EVERY SS. 2 AVERAGE SS.1

Pilih 1 untuk merekam setiap Sub-Sample per plot, atau Pilih 2 untuk merekam rata-rata Sub-Sample AUTO PLOT #s BEGIN PLOT#:1 END PLOT#:60

Jika penomoran plot otomatis, nomor plot dapat dipilih sebarang untuk awal tetapi akhir nomor plot tidak boleh melampaui 99999999. Jika penomoran plot manual, nomor berapa saja hingga 99999999 dapat dimasukkan. Ruang-ruang kosong diabaikan. Setelah memasukkan nomor plot awal dan akhir, informasi berikut akan muncul. PRESS SPACE OR MANUAL SWITCH TO SCAN R-Repeat Scan P-Repeat Plot S-Suspend M-Menu W-Whitestandard D-Darkreading PLOT IRR:

1 852

SAMP

1

Nomor plot dan sample telah ditampilkan. Jika sistem di set untuk penomoran plot otomatis (Mode: Auto) dan mulai pelarikan “tombol Spasi’ kemudian nomor plot dan sample yang ada akan diikuti oleh tampilan luaran real time dari sensor yang menghadap ke atas (up-facing) yang diset untuk mensimulasikan pyranometer. Nilai irradians akan terbaharukan secara konstan sampai pelarikan dimulai. Jika sistem berjalan dengan mode otomatis untuk penomoran plot dan mulai pelarikan dengan ‘Push-Button’ kemudian DLC secara otomatis mati (power-off) setelah nomor plot dan sample ditampilkan.

Komputer atau terminal kemudian akan

disconnect. Sistem MSR kemudian akan dapat digunakan untuk melakukan pembacaan dengan menggunakan pelarikan push -button manual.

DLC akan segera aktif

melakukan pelarikan saat tombol hand-switch push ditekan. Setelah pelarikan dilakukan, nomor plot dan sample akan secara otomatis ditambahkan dan DLC

140

akan kembali tidak aktif (sleep) menunggu mulai pelarikan push-button berikut. Pengoperasian dengan cara seperti ini dapat dilakukan terhadap banyak jumlah plot karena DLC tidak menyerap banyak tenaga saat ‘sleep’ diantara pelarikan. Di lapangan, arahkan radiometer ke matahari dan seimbangkan gelembungnya. Penting untuk mengarahkan radiometer ke matahari selama pelarikan untuk menjamin keakuratan persen data reflektansi. Mulai pelarikan dengan menekan tombol spasi atau dengan menekan hand held push -button sejenak. Pesan ‘scanning…’ akan muncul di monitor. Dan secara simultan, bunyi beep akan terdengar. Pada saat pelarikan telah selesai (sekitar dua detik), dua asteriks ‘**’ akan tampil dan secara simultan dua bunyi beep akan terdengar. Pada saat ini kita dapat pindah ke plot berikut selama data telah terekam dan kata ‘Done’ muncul. Secara simultan tiga bunyi beep akan terdengar . Bunyi beep ini akan lebih jelas terdengar jika kita menggunakan ear phone yang disambungkan ke DLC. Bunyi-bunyi beep ini berfungsi sebagai feedback dimana sistem MSR yang digunakan dengan hand push -button scan switch dan terminal tidak digunakan. Jika space bar ditekan terlalu lama, maka secara otomatis scan akan berjalan. Jika proses scan dilakukan tidak sengaja, scan dapat diulang dengan menekan R. Untuk mengulang scan pada plot tekan P. Pada mode otomatis, nomor plot yang sama akan ditampilkan dan data untuk plot tersebut akan dihapus. Pada mode manual, nomor plor dapat dimasukkan kembali. Untuk menunda proses setelah nomor plot telah ditampilkan (auto mode), atau diisi secara manual (manual mode), tekan S.

DLC akan tidak aktif dan akan

melanjutkan saat dimana DLC mulai tidak aktif dengan me -restart menggunakan tombol Enter tiga kali. Jika menggunakan terminal CT100, tekan tombol power OFF untuk mengurangi konsumsi daya hingga alat siap digunakan lagi. Setelah menyelesaikan pengumpulan data, data harus di-download ke file komputer atau disimpan dalam memory card. Sangat efisien jika menggunakan metode penomoran berlanjut secara otomatis dalam melakukan pelarikan. Mengambil dua sample per plot , perekaman tiap plot

141

akan membutuhkan waktu setidaknya 15 -20 detik tergantung seberapa jauh kita berjalan antara plot. Kita dapat kembali ke Menu Utama MSR dengan menekan M, kecuali jika sub-sub sampel akan dirata-ratakan, M dapat ditekan setelah sub sampel terakhir. Item-item yang terekam tidak dapat disusun ulang tanpa harus melakukan clearing terhadap memory.

Sebelum memory dibersihkan, simpan isi memory dengan

mendownloadnya menggunakan program RETRIEVE , ke komputer atau dengan menyimpannya dalam memory card. Pembacaan di lapangan sebaiknya dilakukan pada saat sudut matahari kurang dari 60 derajat. Pembacaan yang dilakukan pada saat langit berawan tidak akan sama jika dilakukan pada saat matahari tidak terhalangi.

Koreksi terhadap persen

reflektansi di tiap panjang gelombang yang disebabkan oleh beragamnya kejadian irradiasi seharusnya ditentukan dengan percobaan -percobaan tersendiri. Koreksi terhadap sudut matahari dan tutupan awan akan bergantung pada intensitas irradiance seperti terekam pada tiap pelarikan (IRR), sifat dan tahap perkembangan tumbuhan, dan tutupan lahan. Sistem ini dirancang agar mudah dibawa dalam pengambilan data plot ke plot. Ketinggian maksimum radiometer dari target adalah 10 kaki. Guna mengakses data pada area yang lebih luas, sistem ini dapat dibawa oleh sebuah mobil. Yang tetap harus diingat adalah bahwa diameter bidang pandang adalah satu setengah ketinggian dari kanopi. Data yang ada mewakili rata-rata refleksi dari daerah yang disampling. Secara teoritis, semakin besar jarak dari kanopi, semakin valid data reflektansinya. Untuk mengambil data pada plot yang lebih kecil, radiometer dapat lebih direndahkan sehingga bidang pandang menjadi lebih kecil. Pada kondisi seperti ini, sebaiknya diambil beberapa lagi sampel untuk memaksimalkan akurasi data. Baterai NICAD 0.6Ahr dapat mengoperasikan sistem secara simultan selama 6 jam. Jika voltage baterai jatuh dibawah 8.6 volt, akan muncul BEEP dan pesan peringatan.

Baterai kemudian harus di-charge

memasangnya pada converter AC ke DC 12 volt.

selama 12 jam dengan

142

Lampiran 3. Hasil Analisis Ragam (ANOVA) Reflektansi Spektral antara 7 Kelompok Karang Berdasarkan Bentuk Pertumbuhan dan Hasil Uji Beda Rata-rata (Tukey HSD0.05) pada Panjang Gelombang 460-810nm ANOVA Sum of Squares GEL.460

GEL510

GEL.560

GEL.610

GEL.660

GEL.710

GEL.760

GEL.810

df

Mean Square

Between Groups Within Groups

1,986

6

,331

26,372

9764

,003

Total

28,357

9770


28,970

6

4,828

1219,021

9764

,125

Total

1247,991

9770


4672,966

6

778,828

26776,850

9764

2,742

Total

31449,815

9770


999,597

6

166,600

7609,842

9764

,779

Total

8609,439

9770


1858,617

6

309,769

37666,992

9764

3,858

Total

39525,608

9770


18,001

6

3,000

150,087

9764

,015

Total

168,087

9770


6,624

6

1,104

1412,523

9764

,145

Total

1419,147

9770


2547,740

6

424,623

26733,078

9764

2,738

Total

29280,818

9770

F 122,527

,000

38,674

,000

283,994

,000

213,760

,000

80,298

,000

195,176

,000

7,632

,000

155,090

,000

Panjang Gelombang 460 nm Tukey HSD Subset f or alpha = .05 NO.KLP 6,00

N

1

2

3

1121

4,3456

4,00

1251

4,3473

2,00

195

4,3495

4,3495

1,00

3973

4,3510

4,3510

3,00

1359

4,3513

4,3513

7,00

470

5,00 Sig.

1402

4,3566 4,3901 ,420

,163

Sig.

1,000

143

Lampiran 3 . (Lanjutan) Panjang Gelombang 510nm Tukey HSD Subset for alpha = .05 NO.KLP

N

1

2,00

195

1,00

3973

2

3

4

9,6452 9,7126

7,00

470

9,7779

6,00

1121

9,7990

9,7990

4,00

1251 1402

9,8078 9,8081

9,8078 9,8081

5,00 3,00

1359

9,8471

Sig.

1,000

1,000

,715

,171

Panjang Gelombang 560nm Tukey HSD Subset for alpha = .05 NO.KLP 5,00

N

1

1402

2

3

4

5

13,9737

7,00

470

14,6515

3,00

1359

14,8226

4,00

1251

15,3466

1,00

3973

15,4485

6,00

1121

2,00

195

16,3699 16,6875

Sig.

1,000

,499

,924

1,000

1,000

Panjang Gelombang 660nm Tukey HSD Subset for alpha = .05 NO.KLP 1,00 5,00

N 3973

1 12,8334

1402

12,8799

4,00

1251

12,8936

7,00

470

13,1523

3,00

1359

6,00

1121

2,00

195

Sig.

2

3

4

13,4995 13,9675 14,5268 ,051

1,000

1,000

1,000

144

Lampiran 3 . (Lanjutan) Panjang Gelombang 710nm Tukey HSD Subset for alpha = .05 NO.KLP 3,00

N

1

2

3

4

1359

10,0212

6,00

1121

10,0304

4,00

1251

10,0518

2,00

195

10,0598

5,00

1402

10,0731

7,00

470

10,0738

1,00

3973

Sig.

,831

10,0598

,904

,386

10,1286 1,000

Panjang Gelombang 760nm Tukey HSD Subset for alpha = .05 NO.KLP 1,00

N

1

2

3973

4,3053

2,00

195

4,3137

4,3137

4,00

1251

4,3190

4,3190

7,00

470 1121

4,3193 4,3243

4,3193 4,3243

1402

4,3669

4,3669

6,00 5,00 3,00

1359

4,3688

Sig.

,052

,119

Panjang Gelombang 810nm Tukey HSD Subset for alpha = .05 NO.KLP 4,00 7,00 1,00 5,00

N

1 12,2107

470 3973

12,3319 12,3923

1402

12,4180

3,00

1359

2,00

195

6,00

1121

Sig.

Keterangan Nomor dan Nama Kelompok : 1. 2. 3. 4. 5. 6. 7.

2

1251

Karang Massive Karang Bercabang Karang Sub Massive Karang Berbentuk Meja (Tabulate) Karang Lunak Karang Berbentuk Daun (Foliosa) Karang Encrusting

3

4

12,9441 13,4534 13,8733 ,258

1,000

1,000

1,000

145

Lampiran 4. Contoh Data Hasil Pengukuran Spektral Satu Individu dalam Satu Jenis Karang pada Panjang Gelombang 460 – 810nm

460nm

510nm

560nm

610nm

660nm

710nm

760nm

810nm

4,34603

8,595807

14,37281

4,28313

9,635535

15,21136

13,32722

13,3601

13,39188

13,65658

10,22191

4,28313

13,22936

10,07237

4,252357

4,28313

9,34871

15,84946

13,69308

13,39188

13,45893

10,14686

4,252357

4,314351 4,314351

9,412574 9,334257

15,62007 15,50538

13,39188

13,69308 13,55775

14,07384 13,93195

10,07237 10,07237

4,28313 4,252357

13,69308 13,55775

4,314351

8,760819

4,34603

10,23222

15,91733

13,69308

13,45893

10,14686

4,28313

13,55775

14,8172

13,45893

13,83113

10,07237

4,252357

4,314351

12,76714

9,559431

15,44295

13,45893

13,3601

10,22191

4,28313

13,3601

4,314351

9,412574

15,10048

13,39188

13,55775

10,22028

4,252357

13,39188

4,314351

9,708428

15,55634

13,42508

13,69308

10,14579

4,252357

13,55775

4,314351

9,854214

15,55634

13,42508

13,79289

10,07237

4,252357

13,42508

4,314351

9,779715

15,32955

13,55775

13,83113

10,14579

4,252357

13,55775

4,314351

8,57344

15,10276

13,55775

13,69308

10,07289

4,324203

13,55775

4,314351

9,695093

15,22117

13,69308

13,93195

10,07237

4,252357

13,69308

4,477542

9,849836

15,10276

13,06362

13,83113

10,14579

4,252357

13,55775

4,314351

9,854214

15,73477

13,55775

13,69308

10,07237

4,252357

13,55775

4,314351

9,927107

15,73477

13,69308

13,93195

10,07237

4,252357

13,55775

4,34603

9,618866

14,59706

13,32722

13,42785

10,37541

4,28313

13,00424

4,378179

9,186315

14,50704

12,85205

12,97541

10,22191

4,28313

12,85205

4,314351 4,314351

9,927107 10

15,55634 15,44295

13,55775 13,55775

13,79289 13,73031

10,07237 10,22028

4,252357 4,252357

13,65658 13,65658

4,314351

9,854214

15,55634

13,55775

13,79289

10,07289

4,28313

13,55775

4,314351

9,635535

15,73477

13,69308

13,97199

10,07237

4,252357

13,69308

4,314351

10

16,29547

13,97199

14,11576

10,14579

4,252357

14,07384

4,378179

10,70762

14,47312

13,3601

13,93195

10,14579

4,252357

13,69308

4,28313

9,927107

15,73477

13,79289

13,93195

10,07237

4,252357

13,65658

4,355495

9,781321

15,04455

13,39188

13,52294

10,07237

4,252357

13,39188

4,28313

10

13,79289

12,54112

12,65598

10

4,252357

12,54112

4,314351

9,343963

15,04455

13,04219

13,29497

10,14579

4,252357

13,69308

4,355495

9,927634

15,49404

11,21766

13,65658

10,07237

4,252357

13,39188

4,28313

10

14,21865

10,29809

11,59413

10,07237

4,252357

13,39188

4,314351

9,779715

14,01286

12,68053

11,42632

10,14686

4,28313

13,29497

146

Lampiran 5. Hasil Analisis R agam (ANOVA) Reflektansi Spektral 16 Jenis Karang dan Hasil Uji Beda Rata-rata (Tukey HSD 0.05) pada Panjang Gelombang 460-810nm ANOVA Sum of Squares gel.460

Between Groups Within Groups Total

gel.510

gel.560

gel.710

gel.760

gel.810

11.295

15

.753

17.062

9755

.002

28.357

9770

110.681

15

7.379

1137.310

9755

.117

Total

1247.991

9770

10946.719

15

729.781

20503.096

9755

2.102

31449.815

9770

4395.482

15

293.032

4213.957

9755

.432

8609.439

9770

Between Groups Within Groups Between Groups Within Groups Total

gel.660

Mean Square


Total gel.610

df


8233.032

15

548.869

31292.576

9755

3.208

Total

39525.608

9770


32.236

15

2.149

135.852

9755

.014

Total

168.087

9770


16.005

15

1.067

1403.142

9755

.144

Total

1419.147

9770


5235.436

15

349.029

24045.382

9755

2.465

Total

29280.818

9770

F

Sig.

430.536

.000

63.289

.000

347.217

.000

678.348

.000

171.102

.000

154.316

.000

7.418

.000

141.598

.000

147

Lampiran 5. Lanjutan Panjang Gelombang 460nm Tukey HSD Subset for alpha = .05 no.spesi 1.00 6.00 4.00

N

1

1084 658

2

3

4

5

6

7

8

9

10

4.3069 4.3090

750

4.3316

14.00

665

4.3395

10.00

617

4.3449

4.3449

2.00

1024

4.3472

4.3472

4.3472

5.00

195

4.3495

4.3495

4.3495

9.00

634

4.3496

4.3496

4.3496

15.00

456

4.3545

4.3545

4.3545

16.00

470

4.3566

4.3566

7.00

191

12.00

481

13.00

438

4.3969

8.00

510

4.4024

11.00

483

3.00 Sig.

4.3395

4.3603

4.3603 4.3676 4.4024 4.4063

1115 1.000

.217

.226

Keterangan : Jenis Karang 1. Porites lutea 2. Symphillia agaricia 3. Goniopora 4. Diploastrea heliopora 5. Acropora formosa 6. Montipora ramosa 7. Acropora palifera 8. Porites sp

.938

.341

.370

9. 10. 11. 12. 13. 14. 15. 16.

.735

Acropora nasuta Acropora valenceinnesi Sinularia sp.1 Sinularia sp.2 Sinularia sp.3 Leptoseris foliosa Pachyeris speciosa Porites rus

.320

.799

4.4103 .202

148

Lampiran 5. Lanjutan Panjang Gelombang 510nm Tukey HSD Subset for alpha = .05 no.spesi

N

1

2

481 191

9.5753 9.6278

9.6278

195

9.6452

9.6452

3.00

1115

9.6498

9.6498

1.00

1084

9.6834

9.6834

2.00

1024

9.6958

9.6958

14.00

665

16.00

470 617 634

12.00 7.00 5.00

10.00 9.00

3

4

9.7455

5

6

7

9.7779 9.8052

9.7779 9.8052

9.8052

9.8103

9.8103

9.8103

9.8473

8

9.7455

6.00

658

9.8473

9.8473

4.00

750

9.8713

9.8713

9.8713

15.00

456

9.8770

9.8770

9.87 70

13.00

438

9.9113

9.9113

8.00

510

11.00 Sig.

483

9.9288 9.9462 .060

.138


.260

.198

.115

9. 10. 11. 12. 13. 14. 15. 16.

.085


.216

.055

149

Lampiran 5. Lanjutan Panjang Gelombang 610 nm Tukey HSD Subset for alpha = .05 no.spesi 13.00

N

1 438

2

3

4

5

6

7

8

9

4.00

750

8.00

510

12.8014

11.00

483

12.9128

16.00 3.00

470 1115

9.00

634

10.00

617

12.9128 13.0538 13.3121 13.4075

13.4075 13.5003

1084

2.00

1024

14.0024

6.00

658

14.0088

14.00

665 456

14.0863 14.1072

191

12.00

481

Sig.

13.7772

195

7.00

11

12.6103

1.00

15.00 5.00

10

11.4986

14.0863 14.1072 14.2183

14.2183 14.3071

14.3071 14.3669

1.000

1.000

.384

.070

.664


9. 10. 11. 12. 13. 14. 15. 16.


.709

1.000

.497

.128

.772

.991

150


N

1

2

3

4

5

6

4.00

750

13.00

438

8.00

510

12.5505

11.00

483 617

12.6724 12.7887

12.6724 12.7887

12.7887

3.00

1115

12.8457

12.8457

12.8457

9.00

634

12.9957

12.9957

16.00

470

10.00

1.00

1084

2.00

1024

14.00 6.00 7.00

7

8

9

10

11

10.9443 11.4781

13.1523

13.1523 13.3942

13.3942 13.6099

665 658

13.6099 13.8036

13.8036 14.0316

14.0316

191

14.2010

14.2010

15.00

456

14.2066

14.2066

12.00

481

14.3650

14.3650

5.00

195

Sig.

14.5268 1.000

1.000

.434

.273

.117


9. 10. 11. 12. 13. 14. 15. 16.


.772

.893

.954

.843

.225

.261

151

Lampiran 5. Lanjutan Panjang Gelombang 710nm Tukey HSD Subset for alpha = .05 no.spesi 8.00

N

1

2

3

4

5

6

510

10.0036

13.00

438

10.0066

15.00

456

10.0180

10.0180

6.00

658

10.0186

10.0186

11.00

10.0280

9.00

483 634

10.0280 10.0337

10.0337

14.00

665

10.0388

10.0388

10.0388

5.00

195

10.0598

10.0598

10.0598

4.00

750

10.0611

10.0611

10.00

617

10.0704

16.00

470

10.0738

191 1024

10.0770

7.00 2.00 3.00 1.00 12.00 Sig.

7

10.1271

1115

10.1519

1084

10.1527

481

10.1527 10.1788

.098

.306

.051

.205

.656


9. 10. 11. 12. 13. 14. 15. 16.


.062

.051

152


N

1

2

3

4

4.3104 4.3137

4.3104 4.3137

4.3137

4.3140

4.3140

4.3140

4.3140

191

4.3161

4.3161

4.3161

4.3161

16.00

470

4.3193

4.3193

4.3193

4.3193

4.3193

12.00

481

4.3228

4.3228

4.3228

4.3228

4.3228

9.00

634

4.3239

4.3239

4.3239

4.3239

4.3239

15.00

456 658

4.3446

4.3446 4.3575

4.3446 4.3575

4.3446 4.3575

4.3446 4.3575

4.3664

4.3664

4.3664

4.3664

4.3847

4.3847

4.3847

4.3958

4.3958

1.00

1084

4.2634

2.00

1024

4.2900

4.2900

4.00

750

4.2958

4.2958

14.00 5.00

665 195

4.3104 4.3137

10.00

617

7.00

6.00 3.00

1115

11.00

483

13.00

438

8.00

510

Sig.

4.4031 .071


5

.126

.157

9. 10. 11. 12. 13. 14. 15. 16.

.064


.051

153


N

1

2

3

4

13.00

438

11.4033

11.00

483

11.6758

10.00 8.00

617 510

12.1430 12.1613

3.00

1115

12.1626

9.00

634

12.2765

12.2765

16.00

470

12.3319

12.3319

2.00

1024

12.3861

12.3861

1.00

1084

12.4819

12.4819

4.00

750 658

6.00 5.00

5

6

12.6130 13.3851

195

13.4534

13.4534

7.00

191

13.5148

13.5148

14.00

665

15.00

456

12.00

481

Sig.

13.7690

13.7690 14.0255 14.0874

.340


.066

.071

.997

9. 10. 11. 12. 13. 14. 15. 16.

.127


.118

154

Lampiran 6. Dendogram Hasil A nalisis Pengelompokan (Cluster Analysis) Spektral 16 Jenis Karang dan 7 Kelompok Karang Berdasarkan Bentuk Pertumbuhan.

Symphillia agaricia n =1024

Porites lutea n =1084 s a m p e l

s a m p e l

Jarak

Jarak

Diploastrea heliopora n =750

Goniopora n =1115 s a m p e l

s a m p e l

Jarak

Jarak

155

Lampiran 6. Lanjutan

Leptoseris foliosa n =456 s a m p e l

Pachyeris speciosa n =665 s a m p e l

Jarak

Jarak

Jarak

Porites rus n =470

s a m p e l

Sinularia sp. 1 n =483

s a m p e l Jarak

Jarak

Jarak

156



s a m p e l


s a m p e l

Jarak

Jarak

Acropora formosa n =195

Montipora ramosa n =658 s a m p e l

s a m p e l

Jarak

Jarak

157


Porites sp. n =510

Acropora nasuta n =634 s a m p e l

s a m p e l

Jarak Jarak

Karang Massive (CM) n = 3973

Acropora palifera n =191 s a m p e l

s a m p e l

Jarak

Jarak

158


Karang Bercabang (ACB) n = 195

Acropora valenceinnesi n =617 s a m p e l

s a m p e l

Jarak

Jarak

Karang Foliosa (CF) n = 1121

s a m p e l

Karang Sub massive (ACS) n = 1359

s a m p e l

Jarak

Jarak

Jarak

159

Lampiran 6. Lanjutan Karang Lunak (SC) n = 1402

Karang Tabulate (ACT) n = 1251

s a m p e l

s a m p e l

Jarak

Karang Encrusting (CE) n = 470

s a m p e l

Jarak

Jarak

160

Lampiran 7. Matriks Koefisien Korelasi antara Individu dalam 16 Jenis Karang dan antara 7 Kelompok Karang Berdasarkan Bentuk Pertumbuhan

Matriks koefisien korelasi 1084 spektral Porites lutea Porites lutea 1

Porites lutea 2

Porites lutea 3

Porites lutea 4

Porites lutea 1

1

Porites lutea 2

0.99843904

1

Porites lutea 3

0.997936214

0.999630706

1

Porites lutea 4

0.978751276

0.987314532

0.989288805

1

Porites lutea 5

0.976213251

0.985134806

0.987669289

0.999594717

Porites lutea 5

1

Matriks koefisien korelasi 1024 spektral Symphillia agaricia Sympillia agaricia 1

Sympillia agaricia 2




1


0.99852256

1


0.995480143

0.996890763

1


0.996270193

0.997183577

0.996834049

1


0.998716524

0.99922163

0.997160948

0.998527268


1

Matriks koefisien korelasi 750 spektral Diploastrea heliopora Diploastrea heliopora 1 Diploastrea heliopora 1 Diploastrea heliopora 2 Diploastrea heliopora 3 Diploastrea heliopora 4 Diploastrea heliopora 5 Diploastrea heliopora 6

Diploastrea heliopora 2





1 0.55931391

1

0.997764513

0.558552827

1

0.998988838

0.564440706

0.999582577

1

0.996811881

0.544982051

0.998955955

0.998802865

1

0.996710115

0.557783227

0.999879723

0.999184236

0.999094188

1

161

Lampiran 7. Lanjutan Matriks koefisien korelasi 1115 spektral Goniopora Goniopora 1

Goniopora 2

Goniopora 3

Goniopora 4

Goniopora 5

1

Goniopora 1 Goniopora 2

0.999723519

1

Goniopora 3

0.997967874

0.998694524

1

Goniopora 4

0.986167798

0.986254134

0.991931981

1

Goniopora 5

0.993920038

0.992660309

0.993267174

0.991650088

1

Matriks koefisien korelasi 456 spektral Leptoseris foliosa Leptoseris foliosa 2

Leptoseris foliosa 1

Leptoseris foliosa1 1




0.999160

1


0.998767

0.999537

1


0.998055

0.996348

0.995606

1


0.996105

0.993717

0.994623

0.998304


1

Matriks koefisien korelasi 665 spektral Pachyeris speciosa

Pachyeris speciosa 1 Pachyeris speciosa 2 Pachyeris speciosa 3

Pachyeris speciosa 1 1 0.993601492 0.997808427

Pachyeris speciosa 2

Pachyeris speciosa 3

1 0.998637457

1

Matriks koefisien korelasi 470 spektral Porites rus Porites rus 1 1 0.997750166 0.992695447

Porites rus 1 Porites rus 2 Porites rus 3

Porites rus 2

Porites rus 3

1 0.984562751

1

Matriks koefisien korelasi 658 spektral Montipora ramosa Montipora ramosa 1 Montipora ramosa 1 Montipora ramosa 1 Montipora ramosa 1 Montipora ramosa 1 Montipora ramosa 1

1 0.999458 0.98479 0.989956 0.958356

Montipora ramosa 2 1 0.979918 0.985988 0.965334

Montipora ramosa 3

1 0.999147 0.912512

Montipora ramosa 4

1 0.924313

Montipora ramosa 5

1

162

Lampiran 7. Lanjutan Matriks koefisien korelasi 191 spektral Acropora palifera Acropora palivera 1 Acropora palivera 2 Acropora palivera 3

Acropora palivera 1 Acropora palivera 2 Acropora palivera 3 1 0.995060401 1 0.998507068 0.993031319 1

Matriks koefisien korelasi 510 spektral Porites s p Porites sp 1

Porites sp 2

1 0.998829888 0.995726637

Porites sp 1 Porites sp 2 Porites sp 3

Porites s p 3

1 0.998042483

1

Matriks koefisien korelasi 195 spektral Acropora formosa Acropora formosa 1

Acropora formosa 2

1 0.996278136 0.998274156

Acropora formosa 1 Acropora formosa 2 Acropora formosa 3

Acropora formosa 3

1 0.990470677

1

Matriks koefisien korelasi 634 spektral Acropora nasuta Acropora nasuta 1 Acropora nasuta 1 Acropora nasuta 2 Acropora nasuta 3 Acropora nasuta 4 Acropora nasuta 5

Acropora nasuta 2

1 0.999244989 0.987612652 0.992298337 0.990508685

Acropora nasuta 3

1 0.984257422 0.993250043 0.99115007

1 0.99244966 0.993481107

Acropora nasuta 4

Acropora nasuta 5

1 0.999584545

1

Matriks koefisien korelasi 483 spektral Sinularia sp. 1 Sinularia sp. 1. 1 Sinularia sp. 1. 1 Sinularia sp. 1. 2 Sinularia sp. 1. 3

1 0.972902683 0.970776335

Sinularia sp. 1. 2

Sinularia sp. 1. 3

1 0.998175339

1

Matriks koefisien korelasi 481 spektral Sinularia sp. 2 Sinularia sp. 2. 1 Sinularia sp. 2. 1 Sinularia sp. 2. 2 Sinularia sp. 2. 3

1 0.997787918 0.999687525

Sinularia sp. 2. 2 1 0.996675535

Sinularia sp. 2. 3

1

163

Lampiran 7. Lanjutan Matriks koefisien korelasi 438 spektral Sinularia sp. 3 Sinularia sp. 3. 1

Sinularia sp. 3. 2

1 0.995617287 0.999806752

Sinularia sp. 3. 1 Sinularia sp. 3. 2 Sinularia sp. 3. 3

Sinularia sp. 3. 3

1 0.997014047

1

Matriks Koefisien Korelasi dalam Populasi Karang Foliose Pachyeris speciosa 1 0.999418

Pachyeris speciosa Leptoseris foliosa


Koefisien Korelasi dalam Populasi Karang Lunak Euphyllia sp. 1

Euphyllia sp. 3

1 0.986493 0.985688

Sinularia sp. 1 Sinularia sp. 2 Sinularia sp. 3

Euphyllia sp. 3

1 0.971681

1

Matriks K oefisien Korelasi dalam Populasi Karang Sub Massive Acropora palifera

Porites sp 1 0.990687 0.994813

Porites s p Acropora palifera Motipora ramosa

Motipora ramosa

1 0.994533

1

Matriks Koefisien Korelasi dalam Populasi Karang Tabulate Acropora valeciennesi 1 0.999735

Acropora valeciennesi Acropora nasuta

Acropora nasuta 1

Matriks Koefisien Korelasi dalam Populasi Karang Massive Porites lutea Porites lutea

Symphillia agaricia

Goniopora


1

Symphillia agari cia

0.999632

1

Goniopora

0.999529

0.998678

1


0.974418

0.968826

0.979136

1

164

Lampiran 8. Uji Analisis Ragam (ANOVA) pada Panjang Gelombang 460-810nm dalam Analisis Diskriminan (Discriminant Analysis)

Tests of Equality of Group Means Wilks' Lambda

15

df2 9755

Sig. ,000

63,289

15

9755

,000

347,217

15

9755

,000

678,348

15

9755

,000

,792

171,102

15

9755

,000

710 nm

,808

154,314

15

9755

,000

760 nm

,809

153,209

15

9755

,000

810 nm

,821

141,598

15

9755

,000

460 nm

,602

510 nm

,911

560 nm 610 nm

,652 ,489

660 nm

F 430,534

df1

165

Lampiran 9. Analisis Diskriminan ((Discriminant Analysis) Spektral 16 jenis Karang pada Panjang Gelombang 460nm – 810nm

Summary of Canonical Discriminant Functions

Function 1 2 3 4 5 6 7 8

Eigenvalue 1,274(a) ,538(a) ,323(a)

% of Variance 50,7 21,4 12,9

Cumulative % 50,7 72,1 85,0

Canonical Correlation ,748 ,591 ,494

,165(a) ,127(a) ,039(a) ,037(a) ,009(a)

6,6 5,1 1,6 1,5 ,4

91,5 96,6 98,2 99,6 100,0

,376 ,336 ,194 ,189 ,095

Structure Matrix Function

.

610 nm 560 nm 460 nm 760 nm

1 ,882(*) ,563(*) -,446 ,104

2 ,286 ,261 ,865(*) -,222

3 ,077 -,330 ,062 ,666(*)

4 -,064 -,515 ,145 ,311

5 ,047 ,274 ,007 ,483

6 ,228 ,259 ,124 ,249

7 -,249 ,246 ,067 ,319

8 ,117 ,196 -,085 ,053

710 nm 810 nm 660 nm 510 nm

,159 ,304 ,385 -,162

,149 ,025 ,244 -,143

-,576 ,274 ,204 ,274

,694(*) ,016 -,044 -,328

,196 -,716(*) ,113 -,047

,135 ,225 -,800(*) ,029

,068 ,459 ,198 -,353

,280 ,242 ,237 ,802(*)

166

Lampiran 9. Lanjutan Functions at Group Centroids NO.SPESI

Function

1,00000 2,00000

1 ,886 1,073

2 -,829 -,943

3 -,812 1,630

4 ,113 ,393

5 ,201 ,472

6 -,159 ,075

7 ,067 ,090

8 ,090 ,003

3,00000 4,00000 5,00000 6,00000 7,00000

1,010 -,128 1,221 1,212 ,004

,126 -,159 ,521 ,752 -,242

,116 ,008 ,047 ,102 -,180

-,569 -,448 -,483 -,253 -,231

-,404 ,099 -,123 -,218 ,174

,083 -,059 -,200 ,019 ,061

,210 -,138 ,295 ,101 -,287

-,065 -,142 -,196 -,243 -,061

8,00000 9,00000 10,00000 11,00000 12,00000

-1,394 ,787 1,331 -,614 -1,464

,733 ,213 ,864 1,100 ,558

,379 -,379 ,146 -,316 ,532

-,252 -,035 1,132 ,353 -,237

,254 ,302 -,835 ,317 -,101

-,030 ,001 -,176 ,237 -,041

-,329 -,177 -,249 ,239 -,183

,134 -,015 -,022 ,004 ,024

13,00000 14,00000 15,00000 16,00000

-1,141 -,537 ,854 -3,087

-1,310 -,212 ,505 -,469

-,285 -,121 ,445 ,209

,141 ,041 -,675 ,204

-,516 -,025 -,517 -,141

,405 -,344 -,002 -,418

-,045 ,135 ,148 ,242

,000 ,015 ,264 -,062

Keterangan : Jenis Karang 1. 2. 3. 4. 5. 6. 7. 8.

Porites lutea Symphillia agaricia Goniopora Diploastrea heliopora Acropora formosa Montipora ramosa Acropora palifera Porites sp

9. 10. 11. 12. 13. 14. 15. 16.


167

Lampiran 10. Matriks Klasifikasi berdasarkan Fungsi Hasil Analisis Diskrimian (Discriminant Analysis) 16 Jenis Karang CASE

Predicted Group Membership 1

Count

%

2

3

4

5

6

7

8

9

Total

10

11

12

13

14

15

16

1

500

244

23

66

34

6

0

1

28

20

1

2

0

4

39

116

1084

2

41

442

15

26

166

6

2

0

4

59

0

7

0

26

48

182

1024

3

4

46

345

57

136

0

1

36

5

54

132

17

44

20

116

102

1115

4

14

1

5

415

0

0

0

0

2

1

0

3

0

0

34

275

750

5

4

12

2

0

97

0

0

0

0

0

0

1

0

5

59

15

195

6

28

83

3

15

68

217

0

53

10

2

8

11

1

5

137

17

658

7

3

11

6

0

91

0

4

0

1

1

0

10

0

16

17

31

191

8

0

0

6

17

0

1

0

362

0

0

37

0

84

0

3

0

510

9

39

40

19

23

62

1

3

94

48

34

7

3

17

29

144

71

634

10

9

62

13

50

21

0

0

0

9

67

0

3

2

20

141

220

617

11

1

4

8

12

0

0

0

174

3

0

237

0

17

1

20

6

483

12

6

11

19

0

205

0

1

0

1

5

0

182

2

7

0

42

481

13

0

0

8

8

0

0

0

20

5

0

0

0

390

0

7

0

438

14

13

39

13

10

208

0

3

0

2

30

0

10

0

59

215

63

665

15

2

5

12

16

4

0

0

3

5

3

12

3

0

1

383

68

517

16

1

7

7

22

39

0

0

0

1

7

0

3

0

5

30

287

409

1

46,1

22,5

2,1

6,1

3,1

,6

,0

,1

2,6

1,8

,1

,2

,0

,4

3,6

10,7

100,0

2

4,0

43,2

1,5

2,5

16,2

,6

,2

,0

,4

5,8

,0

,7

,0

2,5

4,7

17,8

100,0

3

,4

4,1

30,9

5,1

12,2

,0

,1

3,2

,4

4,8

11,8

1,5

3,9

1,8

10,4

9,1

100,0

4

1,9

,1

,7

55,3

,0

,0

,0

,0

,3

,1

,0

,4

,0

,0

4,5

36,7

100,0

5

2,1

6,2

1,0

,0

49,7

,0

,0

,0

,0

,0

,0

,5

,0

2,6

30,3

7,7

100,0

6

4,3

12,6

,5

2,3

10,3

33,0

,0

8,1

1,5

,3

1,2

1,7

,2

,8

20,8

2,6

100,0

7

1,6

5,8

3,1

,0

47,6

,0

2,1

,0

,5

,5

,0

5,2

,0

8,4

8,9

16,2

100,0

8

,0

,0

1,2

3,3

,0

,2

,0

71,0

,0

,0

7,3

,0

16,5

,0

,6

,0

100,0

9

6,2

6,3

3,0

3,6

9,8

,2

,5

14,8

7,6

5,4

1,1

,5

2,7

4,6

22,7

11,2

100,0

10

1,5

10,0

2,1

8,1

3,4

,0

,0

,0

1,5

10,9

,0

,5

,3

3,2

22,9

35,7

100,0

11

,2

,8

1,7

2,5

,0

,0

,0

36,0

,6

,0

49,1

,0

3,5

,2

4,1

1,2

100,0

12

1,2

2,3

4,0

,0

42,6

,0

,2

,0

,2

1,0

,0

37,8

,4

1,5

,0

8,7

100,0

13

,0

,0

1,8

1,8

,0

,0

,0

4,6

1,1

,0

,0

,0

89,0

,0

1,6

,0

100,0

14

2,0

5,9

2,0

1,5

31,3

,0

,5

,0

,3

4,5

,0

1,5

,0

8,9

32,3

9,5

100,0

15

,4

1,0

2,3

3,1

,8

,0

,0

,6

1,0

,6

2,3

,6

,0

,2

74,1

13,2

100,0

16

,2

1,7

1,7

5,4

9,5

,0

,0

,0

,2

1,7

,0

,7

,0

1,2

7,3

70,2

100,0

168

Lampiran 11. Hasil Analisis Ragam (ANOVA) Kelimpahan Zoozanthellae 11 Jenis Karang dan Hasil Uji Beda Rata-rata (Tukey HSD 0.05) pada Panjang Gelombang 460-810nm

ANOVA


Sum of Squares 285050693655 6577,000 677043296176 818,000 352755023273 3395,000

df

Mean Square 285050693655657 ,700 9149233732119,1 60

10 74

F 31,156

Sig. ,000

84

Kelimpahan Zooxanthellae Tukey HSD Jenis Karang Porites rus Diploastrea.h Leptoseris Ac.palifera Porites sp Montipora .r

N

Subset for alpha = .05

9 3 13 3 7 17

Symphillia. a Pachyeris.s

6 3

Goniopora Ac.valencein. Ac.nasuta Sig.

3 8 13

1 1509000,000 0 2361666,666 7 2413461,538 5 2858000,000 0 4086468,571 4 5204742,941 2

2

3

4

4086468,5714 5204742,9412 9273070,0000

9273070,0000 12154500,0000 12881666,6667 12899300,0000

,662

,186

,687

12154500,0000 12881666,6667 12899300,0000 18145973,0769 ,067

169

Lampiran 12. Tabel Hasil Analisis Sidik Ragam (ANOVA) antara Reflektansi Spektral 11 Jenis Karang dengan Kelimpahan Zooxanthellae pada panjang Gelombang 460nm – 810nm

1) Acropora nasuta ANOVA(b)

Model 1

Sum of Squares Regressio n Residual Total

df

Mean Square

,356

1

,356

1,458

632

,002

1,814

633

F 154,098

Sig. ,000(a)

a Predictors: (Constant), ZOO b Dependent Variable: GEL.460 Model Summary

Model 1

R ,443(a)

Adjusted R Square

R Square ,196

Std. Error of the Estimate

,195

,04804

a Predictors: (Constant), ZOO

Coefficients(a) Unstandardized Coefficients Model 1

B (Constant ) ZOO

Standardized Coefficients

Std. Error

4,229

,010

6,362E- 09

,000

t

Beta

,443

Sig.

427,647

,000

12,414

,000

a Dependent Variable: GEL.460

ANOVA(b)

Model 1

Sum of Squares Regressio n Residual

df

Mean Square

2,680

1

2,680

48,010

632

,076

Total

50,690 a Predictors: (Constant), ZOO b Dependent Variable: GEL.510

F

Sig.

35,274

,000(a)

633

Model Summary

Model 1

R

R Square

Adjusted R Square

,230(a) ,053 a Predictors: (Constant), ZOO

,051

Std. Error of the Estimate ,27562

170

Lampiran 12. Lanjutan Coefficients(a) Unstandardized Coefficients Model 1

B (Constant ) ZOO


Std. Error

9,480

,057

1,746E- 08

,000

t

Beta

,230

Sig.

167,072

,000

5,939

,000

a Dependent Variable: GEL.510 ANOVA(b)

Model 1


df

Mean Square

398,876

1

398,876

812,949

632

1,286

1211,826

633

F 310,093

Sig. ,000(a)

a Predictors: (Constant), ZOO b Dependent Variable: GEL.560

Model Summary

Model 1

R ,574(a)

Adjusted R Square

R Square ,329


,328

1,13416


Coefficients(a) Unstandardized Coefficients Model 1

B (Constant ) ZOO


Std. Error

19,357

,233

-2,131E- 07

,000

t

Beta

-,574

Sig.

82,908

,000

-17,609

,000


ANOVA(b)

Model 1


df

Mean Square

144,101

1

144,101

345,623

632

,547

489,724

633


F 263,500

Sig. ,000(a)

171

Lampiran 12. Lanjutan Model Summary

Model 1

R ,542(a)

Adjusted R Square

R Square ,294


,293

,73951

a Predictors: (Constant), ZOO Coefficients(a) Unstandardized Coefficients Model 1

B (Constant ) ZOO


Std. Error

15,832

,152

-1,281E- 07

,000

t

Beta

-,542

Sig.

103,997

,000

-16,233

,000


Model 1

Sum of Squares

df

Mean Square

Regressio n Residual

24,005

1

24,005

1628,954

632

2,577

Total

1652,959

633

F 9,313

Sig. ,002(a)


Model 1

R ,121(a)

R Square ,015

Adjusted R Square


,013

1,60545


B (Constant ) ZOO


Std. Error

13,985

,331

-5,227E- 08

,000


t

Beta

-,121

Sig.

42,315

,000

-3,052

,002

172

Lampiran 12. Lanjutan ANOVA(b)

Model 1


df

Mean Square

,203

1

,203

6,166

632

,010

6,368

633

F

Sig.

20,761

,000(a)


Model 1

R

Adjusted R Square

R Square

,178(a)

,032


,030

,09877


B (Constant ) ZOO


Std. Error

10,125

,020

-4,801E- 09

,000

t

Beta

-,178

Sig.

497,932

,000

-4,556

,000


Model 1


df

Mean Square

,749

1

,749

1,013

632

,002

1,762

633

F 466,774


Model 1

R ,652(a)

R Square ,425


Adjusted R Square ,424


Sig. ,000(a)

173

Lampiran 12. Lanjutan Coefficients(a) Unstandardized Coefficients Model 1

B (Constant ) ZOO


Std. Error

4,151

,008

9,230E- 09

,000

t

Beta

,652

Sig.

503,564

,000

21,605

,000


Model 1

Sum of Squares

df

Mean Square


22,107

1

22,107

2083,049

632

3,296

Tot al

2105,156

633

F

Sig.

6,707

,010(a)


Model 1

R ,102(a)

R Square ,011


Std. Error of the Estimate 1,81548


B (Constant ) ZOO


Std. Error

11,327

,374

5,016E- 08

,000

t

Beta

Sig.

30,306

,000

2,590

,010

,102


2) Acropora palifera Correlations GEL.460

ZOO

Pearson Correlation

GEL.460

1,000

-,039

ZOO

-,039

1,000

Sig. (1-tailed)

GEL.460

.

,297

N

ZOO

,297

.

GEL.460

192 192

192 192

ZOO

174

Lampiran 12. Lanjutan ANOVA(b)

Model 1

Sum of Squares

df

Mean Square


1,369

1

1,369

39,557

190

,208

Total

40,925

191

F 6,573

Sig. ,011(a)


Model 1

R ,183(a)

Adjusted R Square

R Square ,033


,028

,45628


B (Constant ) ZOO


Std. Error

10,334

,277

-2,527E- 07

,000

t

Beta

-,183

Sig.

37,322

,000

-2,564

,011

a Dependent Variable: GEL.510 ANOVA(b) Model 1

Sum of Squares

df

Mean Square


13,834

1

13,834

420,792

190

2,215

Total

434,627

191

F 6,247

Sig. ,013(a)

a Predictors: (Constant), ZOO b Dependent Variable: GEL.560 Model Summary Model 1

R ,178(a)

R Square ,032

Adjusted R Square


,027

1,48819

a Predictors: (Constant), ZOO Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model 1

B (Constant ) ZOO

Std. Error

18,775

,903

-8,035E- 07

,000


t

Beta

-,178

Sig.

20,790

,000

-2,499

,013

175

Lampiran 12. Lanjutan ANOVA(b) Model 1


df

Mean Square

,744

1

,744

9,613

190

,051

10,357

191

F

Sig.

14,706

,000(a)


R ,268(a)

R Square ,072



a Predictors: (Constant), ZOO Coefficients(a) Unstandardized Standardized Coefficients Coeffic ients Model 1

B (Constant ) ZOO

Std. Error

14,828

,136

-1,863E- 07

,000

t

Beta

-,268

Sig.

108,631

,000

-3,835

,000


Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model 1

B (Constant ) ZOO

Std. Error

14,317

,838

-4,044E- 08

,000

t

Beta

Sig.

17,075

,000

-,135

,892

-,010


Correlations GEL.660 Pearson Correlation Sig. (1-tailed) N

GEL.660 ZOO GEL.660

ZOO

1,000 -,010

-,010 1,000

.

,446

ZOO

,446

.

GEL.660

192

192

ZOO

192

192

176

Lampiran 12. Lanjutan Correlations GEL.710 Pearson Correlation

GEL.710

Sig. (1-tailed)

GEL.710

ZOO ZOO

N

GEL.710 ZOO

ZOO

1,000

,014

,014

1,000

.

,424

,424 192

. 192

192

192

ANOVA(b) Model 1


df

Mean Square

37,707

1

37,707

65,872

190

,347

103,579

191

F 108,761

Sig. ,000(a)


Model Summary Model 1

R ,603(a)

Adjusted R Square

R Square ,364


,361

,58881



B (Constant ) ZOO

Std. Error

8,072

,357

-1,327E- 06

,000

t

Beta

-,603

Sig.

22,592

,000

-10,429

,000

a Dependent Variable: GEL.760 ANOVA(b) Sum of Squares Regressio 101208506 n 99685,740 Residual 367300812 7099,002 Total 137938588 26784,740 a Predictors: (Constant), ZOO b Dependent Variable: GEL.810 Model 1

df 1 190 191

Mean Square 10120850699 685,740 19331621721, 574

F 523,539

Sig. ,000(a)

177

Lampiran 12. Lanjutan Model Summary Model 1

R

Adjusted R Square

R Square

,857(a)

,734

Std. Error of the Estimate 139038,2023 8

,732


(Constant ) ZOO

B 1944352,9 55 -,687

Std. Error

t

Beta

84373,208 ,030

-,857

Sig.

23,045

,000

-22,881

,000


3) Acropora valenceinnesi ANOVA(b) Model 1


df

Mean Square

,011

1

,011

,532

615

,001

,544

616

F

Sig.

13,229

,000(a)


R ,145(a)

R Square ,021

Adjusted R Square


,019

,02942


B (Constant ) ZOO

Std. Error

4,372

,008

-2,040E- 09

,000


t

Beta

-,145

Sig.

578,008

,000

-3,637

,000

178


Sum of Squares

df

Mean Square


,573

1

,573

44,304

615

,072

Tot al

44,877

616

F 7,953

Sig. ,005(a)


R ,113(a)


R Square ,013



B (Constant ) ZOO

Std. Error

9,613

,069

1,443E- 08

,000

t

Beta

,113

Sig.

139,291

,000

2,820

,005


Sum of Squares

df

Mean Square


96,716

1

96,716

616,318

615

1,002

Total

713,034

616

F

Sig.

96,509

,000(a)


R ,368(a)

R Square ,136

Adjusted R Square


,134

1,00107


B (Constant ) ZOO

Std. Error

17,868

,257

-1,875E- 07

,000


t

Beta

-,368

Sig.

69,418

,000

-9,824

,000

179


ANOVA(b) Model 1


df

Mean Square

31,556

1

31,556

173,274

615

,282

204,829

616

F 112,001

Sig. ,000(a)


R ,393(a)

Adjusted R Square

R Square ,154


,153

,53080


B (Constant ) ZOO

Std. Error

14,927

,136

-1,071E- 07

,000

t

Beta

-,393

Sig.

109,369

,000

-10,583

,000


Sum of Squares

df

Mean Square


31,419

1

31,419

1522,265

615

2,475

Total

1553,684

616

F

Sig.

12,693

,000(a)


R ,142(a)

R Square ,020

Adjusted R Square


,019

1,57329


B (Constant ) ZOO

Std. Error

14,212

,405

-1,069E- 07

,000


t

Beta

-,142

Sig.

35,132

,000

-3,563

,000

180

Lampiran 12. Lanjutan Correlations GEL.710

ZOO

Pearson Correlation

GEL.710

1,000

-,066

ZOO

-,066

1,000

Sig. (1-tailed)

GEL.710 ZOO

N

GEL.710 ZOO

.

,050

,050 617

. 617

617

617

Correlations GEL.760

ZOO

Pearson Correlation

GEL.760

1,000

-,049

ZOO

-,049

1,000

Sig. (1-tailed)

GEL.760

. ,113

,113 .

N

ZOO GEL.760

617

617

617

617

ZOO

ANOVA(b) Model 1

Sum of Squares

df

Mean Square


17,295

1

17,295

1873,562

615

3,046

Total

1890,857

616

F 5,677

Sig. ,017(a)


R ,096(a)

R Square ,009

Adjusted R Square


,008

1,74541


B (Constant ) ZOO

Std. Error

13,199

,449

-7,928E- 08

,000


t

Beta

-,096

Sig.

29,410

,000

-2,383

,017

181

Lampiran 12. Lanjutan 4) Diploastrea heliopora ANOVA(b) Model 1


df

Mean Square

,038

1

,038

,988

748

,001

1,027

749

F

Sig.

29,055

,000(a)

F

Sig.

29,055

,000(a)

a Predictors: (Constant), ZOO b Dependent Variable: GEL.460 ANOVA(b) Model 1


df

Mean Square

,038

1

,038

,988

748

,001

1,027

749

a Predictors: (Constant), ZOO b Dependent Variable: GEL.460 Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model 1

B (Constant ) ZOO

Std. Error

4,347

,003

-7,181E- 09

,000

t

Beta

-,193

Sig.

1359,613

,000

-5,390

,000


Sum of Squares

df

Mean Square


,098

1

,098

19,129

748

,026

Total

19,227

749

F 3,847


R ,072(a)

R Square ,005




Sig. ,050(a)

182

Lampiran 12. Lanjutan Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model 1

B (Constant ) ZOO

Std. Error

9,896

,014

-1,150E- 08

,000

t

Beta

-,072

Sig.

703,494

,000

-1,961

,050


Sum of Squares

df

Mean Square


43,489

1

43,489

659,085

748

,881

Total

702,575

749

F

Sig.

49,356

,000(a)


R ,249(a)

Adjusted R Square

R Square ,062


,061

,93869


B (Constant ) ZOO

Std. Error

14,292

,083

-2,417E- 07

,000

t

Beta

-,249

Sig.

173,086

,000

-7,025

,000

a Dependent V ariable: GEL.560 ANOVA(b) Model 1


df

Mean Square

26,584

1

26,584

79,816

748

,107

106,400

749

F 249,134


R ,500(a)

R Square ,250




Sig. ,000(a)

183


B (Constant ) ZOO

Std. Error

13,023

,029

-1,890E- 07

,000

t

Beta

-,500

Sig.

453,202

,000

-15,784

,000


Sum of Squares

df

Mean Square


3120,373

1

3120,373

10064,903

748

13,456

Total

13185,276

749

F 231,899

Sig. ,000(a)


R

R Square

,486(a)

Adjusted R Square

,237


,236

3,66821


B (Constant ) ZOO

Std. Error

6,474

,323

2,047E- 06

,000

t

Beta

,486

Sig.

20,062

,000

15,228

,000


Sum of Squares

df

Mean Squar e


,057

1

,057

3,165

748

,004

Total

3,222

749


R

R Square

,133(a)


,018



F

Sig.

13,534

,000(a)

184

Lampiran 12. Lanjutan Coefficie nts(a) Unstandardized Standardized Coefficients Coefficients Model 1

B (Constant ) ZOO

Std. Error

10,042

,006

8,770E- 09

,000

t

Beta

,133

Sig.

1754,993

,000

3,679

,000



df

Mean Square

,092

1

,092

,772

748

,001

,864

749

F

Sig.

88,853

,000(a)


R

R Square

,326(a)

Adjusted R Square

,106


,105

,03213


B (Constant ) ZOO

Std. Error

4,323

,003

-1,110E- 08

,000

t

Beta

-,326

Sig.

1529,905

,000

-9,426

,000


Sum of Squares

df

Mean Square


31,882

1

31,882

124,410

748

,166

Total

156,292

749


R

R Square

,452(a)


,204



F 191,684

Sig. ,000(a)

185


B (Constant ) ZOO

Std. Error

13,065

,036

-2,069E- 07

,000

t

Beta

-,452

Sig.

364,172

,000

-13,845

,000


5) Goniopora ANOVA(b) Model 1

Sum of Squares

df

Mean Square


,925

1

,925

1,499

1113

,001

Total

2,424

1114

F 687,148

Sig. ,000(a)


R

R Square

,618(a)

Adjusted R Square

,382


,381

,03670


B (Constant ) ZOO

Std. Error

4,332

,003

6,333E- 09

,000

t

Beta

,618

Sig.

1356,534

,000

26,214

,000


Sum of Squares

df

Mean Square


13,571

1

13,571

350,757

1113

,315

Total

364,328

1114


F

Sig.

43,062

,000(a)

186



R ,193(a)

R Square ,037




B (Constant ) ZOO

Std. Error

9,951

,049

-2,425E- 08

,000

t

Beta

-,193

Sig.

203,702

,000

-6,562

,000


Sum of Squares

df

Mean Square


45,912

1

45,912

1980,154

1113

1,779

Total

2026,066

1114

F

Sig.

25,806

,000(a)


R

R Square

,151(a)

Adjusted R Square

,023


,022

1,33383


B (Constant ) ZOO

Std. Error

14,778

,116

4,461E- 08

,000

t

Beta

,151

Sig.

127,328

,000

5,080

,000


Sum of Squares

df

Mean Square


41,871

1

41,871

1021,802

1113

,918

Total

1063,673

1114


F

Sig.

45,609

,000(a)

187



R ,198(a)

R Square ,039




B (Constant ) ZOO

Std. Error

12,783

,083

4,260E- 08

,000

t

Beta

,198

Sig.

153,323

,000

6,753

,000


Sum of Squares

df

Mean Square


15,783

1

15,783

3213,883

1113

2,888

Total

3229,666

1114

F

Sig.

5,466

,020(a)


R

R Square

,070(a)

Adjusted R Square

,005


,004

1,69929


B (Constant ) ZOO

Std. Error

12,521

,148

2,616E- 08

,000

t

Beta

,070

Sig.

84,678

,000

2,338

,020


Sum of Squares

df

Mean Square


1,165

1

1,165

13,594

1113

,012

Total

14,759

1114


F

Sig.

95,401

,000(a)

188


R

R Square

,281(a)

Adjusted R Square

,079


,078

,11052


B (Constant ) ZOO

Std. Error

10,064

,010

7,107E- 09

,000

t

Beta

,281

Sig.

1046,469

,000

9,767

,000


Sum of Squares

df

Mean Square


,605

1

,605

1,279

1113

,001

Total

1,884

1114

F 526,919

Sig. ,000(a)


R R Square ,567(a) ,321 a Predictors: (Constant), ZOO

Adjusted R Square


,321

,03389


B (Constant ) ZOO

Std. Error

4,302

,003

5,122E- 09

,000

,567

a Dependent Variable: GEL.760 Correlations GEL.810 Pearson Correlation

GEL.810

Sig. (1-tailed)

GEL.810

ZOO ZOO

N

t

Beta

ZOO

1,000

,029

,029

1,000

.

,168

,168

.

GEL.810

1115

1115

ZOO

1115

1115

Sig.

1458,712

,000

22,955

,000

189

Lampiran 12. Lanjutan 6) Leptoseris foliosa Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model 1

B (Constant ) ZOO

Std. Error

4,347

,004

-2,253E- 09

,000

t

Beta

-,090

Sig.

1186,454

,000

-2,338

,020

a Dependent Variable: GEL.460 Model Summary Model 1

R ,090(a)

R Square ,008



a Predictors: (Constant), ZOO Correlations GEL.510 Pearson Correlation

GEL.510

Sig. (1-tailed)

GEL.510

,047

,047

1,000

.

,114

ZOO

N

ZOO

1,000

ZOO

,114

.

GEL.510

665

665

ZOO

665

665

ANOVA(b) Model 1


df

Mean Square

121,325

1

121,325

672,889

663

1,015

794,213

664

F 119,542

Sig. ,000(a)


R

R Square

,391(a)

,153




B (Constant ) ZOO

Std. Error

17,486

,107

-3,076E- 07

,000


t

Beta

-,391

Sig.

163,473

,000

-10,934

,000

190


Sum of Squares

df

Mean Square

Regr essio n Residual

36,743

1

36,743

134,220

663

,202

Total

170,962

664

F 181,496

Sig. ,000(a)


R

R Square

,464(a)

Adjusted R Square

,215


,214

,44994


B (Constant ) ZOO

Std. Error

14,685

,048

-1,693E- 07

,000

t

Beta

-,464

Sig.

307,398

,000

-13,472

,000

a Dependent V ariable: GEL.610 ANOVA(b) Model 1


df

Mean Square

23,785

1

23,785

1710,949

663

2,581


664

Total

F

Sig.

9,217

,002(a)






B (Constant ) ZOO

Std. Error

14,286

,171

-1,362E- 07

,000


t

Beta

-,117

Sig.

83,754

,000

-3,036

,002

191

Lampiran 12. Lanjutan Correlations GEL.710 Pearson Correlation

GEL.710

Sig. (1-tailed)

GEL.710

,074

,074

1,000

ZOO ZOO

N

ZOO

1,000

GEL.710 ZOO

.

,028

,028 665

. 665

665

665

ANOVA(b) Model 1


df

Mean Square

,005

1

,005

,493

663

,001

,498

664

F

Sig.

6,221

,013(a)



R

R Square

,096(a)

Adjusted R Square

,009


,008

,02727



B (Constant ) ZOO

Std. Error

4,307

,003

1,900E- 09

,000

t

Beta

,096

Sig.

1487,478

,000

2,494

,013


Sum of Squares

df

Mean Square


87,950

1

87,950

1061,028

663

1,600

Total

1148,978

664

a Predictors: (Constant), ZOO b Dependent Variable: G3L.810

F

Sig.

54,957

,000(a)

192


R

R Square

,277(a)

Adjusted R Square

,077


,075

1,26505


B (Constant ) ZOO

Std. Error

14,696

,134

-2,619E- 07

,000

t

Beta

-,277

Sig.

109,410

,000

-7,413

,000

a Dependent Variable: G3L.810

7) Montipora ramosa ANOVA(b) Model 1


df

Mean Square

,228

1

,228

2,338

656

,004

2,565

657

F

Sig.

63,932

,000(a)



R

R Square

,298(a)

,089





B (Constant ) ZOO

Std. Error

4,349

,005

-7,442E- 09

,000


t

Beta

-,298

Sig.

790,842

,000

-7,996

,000

193


ANOVA(b) Model 1


df

Mean Square

,059

1

,059

31,276

656

,048

31,335

657

F

Sig.

1,237

,267(a)

F

Sig.

36,276

,000(a)


ANOVA(b) Model 1


df

Mean Square

258,260

1

258,260

4670,301 4928,560

656 657

7,119



R

R Square

Adjusted R Square

,229(a) ,052 a Predictors: (Constant), ZOO


,051

2,66821


B (Constant ) ZOO

Std. Error

16,264

,246

-2,506E- 07

,000

t

Beta

-,229

Sig.

66,170

,000

-6,023

,000


ANOVA(b) Model 1


df

Mean Square

35,100

1

35,100

201,443 236,543

656 657

,307


F 114,303

Sig. ,000(a)

194


R

R Square

,385(a)

Adjusted R Square

,148


,147

,55415


B (Constant ) ZOO

Std. Error

13,514

,051

9,237E- 08

,000

t

Beta

,385

Sig.

264,739

,000

10,691

,000


ANOVA(b) Model 1

Sum of Squares

df

Mean Square


67,478

1

67,478

923,392

656

1,408

Total

990,870

657

F

Sig.

47,938

,000(a)


R

R Square

,261(a)

Adjusted R Square

,068


,067

1,18643


B (Constant ) ZOO

Std. Error

13,346

,109

1,281E- 07

,000

t

Beta

,261

Sig.

122,111

,000

6,924

,000


Sum of Squares

df

Mean Square


,055

1

,055

3,215

656

,005

Total

3,271

657


F

Sig.

11,302

,001(a)

195


R

R Square

,130(a)

Adjusted R Square

,017


,015

,07001


B (Constant ) ZOO

Std. Error

10,038

,006

-3,669E- 09

,000

t

Beta

-,130

Sig.

1556,505

,000

-3,362

,001

a Dependent Variable: GEL.710 ANOVA(b) Sum of Squares Regressio 138100,75 n 3 Residual 16448,426 Total 154549,18 0 a Predictors: (Constant), ZOO b Dependent Variable: GEL.760 Model 1

df

Mean Square 1

138100,753

656

25,074

F 5507,767

Sig. ,000(a)

657


R

R Square

,945(a)

,894




B (Constant ) ZOO

Std. Error

-18,988

,461

5,794E- 06

,000

t

Beta

,945

Sig.

-41,165

,000

74,214

,000

a Dependent Variable: GEL.760 Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model 1

B (Constant ) ZOO

Std. Error

-18,988

,461

5,794E- 06

,000


t

Beta

,945

Sig.

-41,165

,000

74,214

,000

196



R ,945(a)

R Square ,894




B (Constant ) ZOO

Std. Error

-18,988

,461

5,794E- 06

,000

t

Beta

,945

Sig.

-41,165

,000

74,214

,000


Sum of Squares

df

Mean Square


166,415

1

166,415

1290,014

656

1,966

Total

1456,429

657

F

Sig.

84,625

,000(a)


R

R Square

,338(a)

,114




B (Constant ) ZOO

Std. Error

12,308

,129

2,011E- 07

,000


t

Beta

,338

Sig.

95,281

,000

9,199

,000

197

Lampiran 12. Lanjutan 8) Pachyeris speciosa ANOVA(b) Model 1


df

Mean Square

,486

1

,486

,889

454

,002

1,374

455

F 248,073

Sig. ,000(a)


R

R Square

,594(a)

Adjusted R Square

,353


,352

,04424


B (Constant ) ZOO

Std. Error

4,450

,006

-7,860E- 09

,000

t

Beta

-,594

Sig.

696,771

,000

-15,750

,000


Sum of Squares

df

Mean Square


,324

1

,324

12,852

454

,028

Total

13,176

455

F

Sig.

11,461

,001(a)


R

R Square

,157(a)

,025




B (Constant ) ZOO

Std. Error

9,799

,024

6,424E- 09

,000


t

Beta

,157

Sig.

403,509

,000

3,385

,001

198


Sum of Squares

df

Mean Square


450,763

1

450,763

145,653

454

,321

Total

596,416

455

F 1405,027

Sig. ,000(a)

a Predictors: (Constant), ZOO b Dependent V ariable: GEL.560 Model Summary Model 1

R ,869(a)

R Square ,756




B (Constant ) ZOO

Std. Error

19,229

,082

-2,395E- 07

,000

t

Beta

-,869

Sig.

235,194

,000

-37,484

,000



df

Mean Square

140,326

1

140,326

24,956

454

,055


455

Total

F 2552,858

Sig. ,000(a)






B (Constant ) ZOO

Std. Error

15,725

,034

-1,336E- 07

,000


t

Beta

-,921

Sig.

464,659

,000

-50,526

,000

199


Sum of Squares

df

Mean Square


262,270

1

262,270

203,171

454

,448

Total

465,441

455

F 586,060

Sig. ,000(a)


R ,751(a)

R Square ,563

Adjusted R Squar e ,563



B (Constant ) ZOO

Std. Error

16,418

,097

-1,827E- 07

,000

t

Beta

-,751

Sig.

170,028

,000

-24,209

,000


Sum of Squares

df

Mean Square


,082

1

,082

1,368

454

,003

Total

1,450

455

F

Sig.

27,098

,000(a)


R

R Square

,237(a)

,056




B (Constant ) ZOO

Std. Error

10,057

,008

-3,223E- 09

,000


t

Beta

-,237

Sig.

1269,302

,000

-5,206

,000

200


ANOVA(b) Model 1


df

Mean Square

,366

1

,366

,311

454

,001

,677

455

F 533,825

Sig. ,000(a)


R ,735(a)

R Square ,540

Adjusted R Square


,539

,02617


B (Constant ) ZOO

Std. Error

4,429

,004

-6,820E- 09

,000

t

Beta

-,735

Sig.

1172,337

,000

-23,105

,000



df

Mean Square

101,350

1

101,350

227,013

454

,500

328,363

455

F 202,689

Sig. ,000(a)


R

R Square

,556(a)

,309




B (Constant ) ZOO

Std. Error

15,400

,102

-1,135E- 07

,000


t

Beta

-,556

Sig.

150,882

,000

-14,237

,000

201

Lampiran 12. Lanjutan 9) Porites rus Correlations GEL.460 Pearson Correlation

GEL.460

Sig. (1-tailed)

GEL.460

ZOO

N

ZOO

1,000

,004

,004

1,000

.

,464

ZOO

,464

.

GEL.460

509

509

ZOO

509

509

ANOVA(b) Model 1


df

Mean Square

,160

1

,160

12,741

507

,025

12,901

508

F

Sig.

6,351

,012(a)



R

R Square

,111(a)

Adjusted R Square

,012


,010

,15852



B (Constant ) ZOO

Std. Error

9,867

,026

1,555E- 08

,000

t

Beta

,111

Sig.

386,244

,000

2,520

,012


ANOVA(b) Model 1


df

Mean Square

72,739

1

72,739

250,773

507

,495

323,512

508


F 147,060

Sig. ,000(a)

202



R ,474(a)

R Square ,225




B (Constant ) ZOO

Std. Error

15,373

,113

-3,319E- 07

,000

t

Beta

-,474

Sig.

135,647

,000

-12,127

,000


Sum of Squares

df

Mean Square


29,240

1

29,240

100,790

507

,199

Total

130,030

508

F 147,084

Sig. ,000(a)


R

R Square

,474(a)

Adjusted R Square

,225


,223

,44587


B (Constant ) ZOO

Std. Error

13,638

,072

-2,104E- 07

,000

-,474

a Dependent Variable: GEL.610 Correlations GEL.660

ZOO

Pearson Correlation

GEL.660

1,000

-,017

ZOO

-,017

1,000

Sig. (1-tailed)

GEL.660

.

,354

N

t

Beta

ZOO

,354

.

GEL.660

509

509

ZOO

509

509

Sig.

189,813

,000

-12,128

,000

203

Lampiran 12. Lanjutan Correlations GEL.710

ZOO

Pearson Correlation

GEL.710

1,000

-,068

ZOO

-,068

1,000

Sig. (1-tailed)

GEL.710 ZOO

N

GEL.710 ZOO

.

,063

,063 509

. 509

509

509

Correlations GEL. 770

ZOO

Pearson Correlation

GEL.770

1,000

-,005

ZOO

-,005

1,000

Sig. (1-tailed)

GEL.770

. ,457

,457 .

N

ZOO GEL.770

509

509

509

509

ZOO

ANOVA(b) Model 1

Sum of Squares

df

Mean Square


27,356

1

27,356

823,209

507

1,624

Total

850,565

508

F

Sig.

16,848

,000(a)



R ,179(a)

R Square ,032




B (Constant ) ZOO

Std. Error

12,969

,205

-2,035E- 07

,000


t

Beta

-,179

Sig.

63,160

,000

-4,105

,000

204

Lampiran 12. Lanjutan 10) Porites sp ANOVA(b) Model 1


df

Mean Square

,004

1

,004

,138

468

,000

,142

469

F

Sig.

14,218

,000(a)


R

R Square

,172(a)

Adjusted R Square

,029


,027

,01719


B (Constant ) ZOO

Std. Error

4,364

,002

-4,648E- 09

,000

t

Beta

-,172

Sig.

2173,411

,000

-3,771

,000


Sum of Squares

df

Mean Square


,313

1

,313

17,663

468

,038

Total

17,976

469



R

R Square

,132(a)


,017



F

Sig.

8,289

,004(a)

205



B (Constant ) ZOO

Std. Error

9,718

,023

4,011E- 08

,000

t

Beta

,132

Sig.

428,184

,000

2,879

,004



df

Mean Square

538,474

1

538,474

326,694

468

,698

865,168

469

F 771,383

Sig. ,000(a)


R

R Square

,789(a)

Adjusted R Square

,622


,622

,83550


B (Constant ) ZOO

Std. Error

17,142

,098

-1,664E- 06

,000

t

Beta

-,789

Sig.

175,626

,000

-27,774

,000



df

Mean Square

213,112

1

213,112

97,559

468

,208

310,671

469


R ,828(a)

R Square ,686




F 1022,322

Sig. ,000(a)

206



B (Constant ) ZOO

Std. Error

14,621

,053

-1,047E- 06

,000

t

Beta

-,828

Sig.

274,112

,000

-31,974

,000



df

Mean Square

201,350

1

201,350

307,010

468

,656

508,360

469

F 306,934

Sig. ,000(a)


R

R Square

,629(a)

Adjusted R Square

,396

,395



B (Constant ) ZOO

Std. Error

14,675

,095

-1,018E- 06

,000

-,629


Correlations GEL.710

ZOO

Pearson Correlation

GEL.710

1,000

-,012

ZOO

-,012

1,000

Sig. (1-tailed)

GEL.710

,401 .

N

ZOO GEL.710

. ,401 470

470

470

470

ZOO

t

Beta

Sig.

155,097

,000

-17,520

,000

207


Sum of Squares

df

Mean Square


,003

1

,003

,106

468

,000

Total

,108

469

F

Sig.

11,180

,001(a)



R ,153(a)

R Square ,023

Adjusted R Square


,021

,01503


B (Constant ) ZOO

Std. Error

4,328

,002

-3,605E- 09

,000

t

Beta

-,153

Sig.

2464,782

,000

-3,344

,001


Sum of Squares

df

Mean Square


12,325

1

12,325

921,229

468

1,968

Total

933,554

469

F

Sig.

6,261

,013(a)


R

R Square

,115(a)

,013




B (Constant ) ZOO

Std. Error

12,709

,164

-2,518E- 07

,000


t

Beta

-,115

Sig.

77,537

,000

-2,502

,013

208


11) Symphillia agaricia ANOVA(b) Model 1

Sum of Squares

df

Mean Square


,033

1

,033

1,648

1022

,002

Total

1,681

1023

F

Sig.

20,200

,000(a)


Model Summary(b) Model 1

R ,139(a)

R Square ,019



DurbinWatson 1,456



B (Constant ) ZOO

Std. Error

4,333

,003

2,520E- 09 a Dependent Variable: GEL.460

,000

t

Beta

,139

Sig.

1261,198

,000

4,494

,000

ANOVA(b) Model 1

Sum of Squares

df

Mean Square


6,119

1

6,119

109,499

1022

,107

Total

115,619

1023

F

Sig.

57,114

,000(a)



R ,230(a)

R Square ,053




DurbinWatson 1,659

209


B (Constant ) ZOO

Std. Error

9,893

,028

-3,454E- 08

,000

t

Beta

-,230

Sig.

353,287

,000

-7,557

,000



df

Mean Square

391,462

1

391,462

776,738

1022

,760

1168,200

1023

F 515,069

Sig. ,000(a)

a Predictors: (Constant), ZOO b Dependent Variable: GEL.560 Model Summary(b) Model 1

R ,579(a)

R Square

Adjusted R Square

,335


,334

,87179

DurbinWatson 1,381


B (Constant ) ZOO

Std. Error

17,787

,075

-2,763E- 07

,000

t

Beta

-,579

Sig.

238,498

,000

-22,695

,000



df

Mean Square

113,058

1

113,058

99,989

1022

,098

213,047

1023

F 1155,578


R ,728(a)

R Square ,531




DurbinWatson ,252

Sig. ,000(a)

210


B (Constant ) ZOO

Std. Error

14,849

,027

-1,485E- 07

,000

t

Beta

-,728

Sig.

554,932

,000

-33,994

,000


Sum of Squares

df

Mean Square


216,235

1

216,235

2537,147

1022

2,483

Total

2753,382

1023

F

Sig.

87,103

,000(a)


R ,280(a)

R Square ,079

Adjusted R Square


,078

1,57560

DurbinWatson 1,685


B (Constant ) ZOO

Std. Error

14,781

,135

-2,053E- 07

,000

t

Beta

-,280

Sig.

109,659

,000

-9,333

,000



df

Mean Square

,018

1

,018

,998

1022

,001

1,016

1023

F

Sig.

18,704

,000(a)

a Predictors: (Constant), ZOO b Dependent Variable: GEL.760 M odel Summary(b) Model 1

R ,134(a)

R Square ,018




DurbinWatson 1,318

211



B (Constant ) ZOO

Std. Error

4,304

,003

-1,887E- 09

,000

t

Beta

-,134

Sig.

1609,899

,000

-4,325

,000


Sum of Squares

df

Mean Square


45,212

1

45,212

4342,501

1022

4,249

Total

4387,713

1023

F

Sig.

10,641

,001(a)



R ,102(a)

R Square ,010



DurbinWatson 1,808


ANOVA(b) Model 1


df

Mean Square

45,212

1

45,212

4342,501 4387,713

1022 1023

4,249


F

Sig.

10,641

,001(a)

212

Lampiran 13. Hasil l Analisis Ragam (ANOVA) Reflektansi Spektral Karang dengan Parameter Optik Kolom Air pada pada P anjang Gelombang 460nm – 810nm

1) Symphillia agaricia Model Summary Model 1

R ,745(a)

R Square ,555

2

,780(b)

,608

Adjusted R Square

Std. Error of the Es timate

,554

,30466

,607

,28598

a Predictors: (Constant), ORG.LRT b Predictors: (Constant), ORG.LRT, ORG.SUSP ANOVA(c) Model 1


2

Regressio n Residual Total

df

Mean Square

118,186

1

118,186 ,093

94,862

1022

213,047

1023

129,546

2

64,773

83,501

1021

,082

213,047

1023

F

Sig.

1273,282

,000(a)

792,008

,000(b)

a Predictors: (Constant), ORG.LRT b Predictors: (Constant), ORG.LRT, ORG.SUSP c Dependent Variable: GEL.610 Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model

B

1

(Constant ) ORG.LRT

2

(Constant ) ORG.LRT

Std. Error

14,819

,025

-,251

,007

14,459

,038

-,232 ORG.SUS ,025 P a Dependent Variable: GEL.610

,007 ,002

t

Beta

Sig.

597,686

,000

-35,683

,000

376,652

,000

-,688

-34,057

,000

,238

11,786

,000

-,745

213


2) Acropora nasuta Model Summary(d) Model 1

R

2 3 a b c d

Adjusted R Square

R Square


,602(a) ,722(b)

,363 ,522

,362 ,520

,04276 ,03708

,742(c)

,550

,548

,03600

DurbinWatson

1,855

Predictors: (Constant), TSS Predictors: (Constant), TSS, TDS Predictors: (Constant), TSS, TDS, DO.D Dependent Variable: GEL.460 ANOVA(d) Sum of Squares

Model 1

2

1

,658

1,156

632

,002

Total

1,814

633

,946

2

,473

,868

631

,001

1,814

633

,998

3

,333

,816

630

,001

1,814

633

Total Regressio n Residual Total a b c d

Mean Square

,658


3

df


F

Sig.

360,084

,000(a)

344,099

,000(b)

256,658

,000(c)

Predictors: (Constant), TSS Predictors: (Constant), TSS, TDS Predictors: (Constant), TSS, TDS, DO.D Dependent Variable: GEL.460 Coefficients(a)

Mod el

1

(Constant) TSS

Unstandardized Coefficients Std. B Error 4,661 ,016 -,028 4,530 -,033 ,015

,001 ,017 ,001 ,001

4,678

,029

-,025 TDS ,018 DO.D -,027 a Dependent Variable: GEL.460

,002 ,001 ,004

2

3

(Constant) TSS TDS (Constant) TSS


t

Sig.

Beta -,602 -,689 ,408 -,538 ,471 -,243

282,680

,000

-18,976 268,085 -24,458 14,470

,000 ,000 ,000 ,000

163,338

,000

-14,808 16,162 -6,296

,000 ,000 ,000

Correlations ZeroParti order al Part -,602

-,602

-,602

-,602 ,261

-,698 ,499

-,673 ,398

-,602 ,261 -,423

-,508 ,541 -,243

-,396 ,432 -,168

214


Model Summary(c) Model 1

R

R Square

,705(a)

Adjusted R Square


,497

,496

,98231

,727(b) ,528 a Predictors: (Constant), DO.A b Predictors: (Constant), DO.A, TDS c Dependent Variable: GEL.560

,527

,95208

2

DurbinWatson ,850

ANOVA(c) Model 1


2

Mean Square

601,986

1

601,986 ,965

609,840

632

1211,826

633

639,850

2

319,925

571,976

631

,906

1211,826

633


df

F

Sig.

623,861

,000(a)

352,939

,000(b)

a Predictors: (Constant), DO.A b Predictors: (Constant), DO.A, TDS c Dependent Variable: GEL.560 Coefficients(a) M o d el

Standardiz ed Coefficients

Unstandardized Coefficients Std. B Error

1

(Const ant) DO.A

2

(Const ant) DO.A

t

Sig.

Beta

4,969

,416

1,012

,041

4,111

,425

,880

,044

11,933

,000

24,977

,000

9,678

,000

,612

19,848

,199

6,463

,705

TDS

,194 ,030 a Dependent Variable: GEL.560

Correlations Zeroorder

,705

,705

,000

,705

,620

,543

,000

,483

,249

,177


Model 1

R ,707(a)

R Square ,500

,499

,03734

2

,772(b)

,596

,595

,03358

3

,808(c)

,652

,650

,03119

a b c d

Predictors: (Constant), COND.A Predictors: (Constant), COND.A, PO4 Predictors: (Constant), COND.A, PO4, PH.A Dependent Variable: GEL.760

Part

,705

Model Summary(d) Adjusted R Square

Partial

DurbinWatson

1,954

215


ANOVA(d) Model 1


2


3


a b c d

df

Mean Square

,881

1

,881

,881

632

,001

1,762

633

1,051

2

,525 ,001

,711

631

1,762

633

1,149

3

,383

,613

630

,001

1,762

633

F

Sig.

631,920

,000(a)

465,968

,000(b)

393,647

,000(c)

Predictors: (Constant), COND.A Predictors: (Constant), COND.A, PO4 Predictors: (Constant), COND.A, PO4, PH.A Dependent Variable: GEL.760 Coefficients(a) Unstandardized Coefficients Std. B Error

Model

1

2

3

(Const ant) COND. A (Const ant) COND. A PO4 (Const ant) COND. A PO4 PH.A

-19,928

,965

,474

,019

-26,874

1,036

,607

,020

1,321

,108

-32,201

1,099

,705

,021 ,102 ,003

1,535 ,034 a Dependent Variable: GEL.760

Standardiz ed Coefficients

t

Sig.

Beta -20,654

,000

25,138

,000

-25,939

,000

,905

30,168

,368

,707

Correlations ZeroParti order al Part

,707

,707

,707

,000

,707

,768

,763

12,269

,000

-,118

,439

,310

-29,310

,000

1,051

33,439

,000

,707

,800

,786

,427 ,267

15,008 10,056

,000 ,000

-,118 -,152

,513 ,372

,353 ,236

216

Lampiran 13. Lanjutan 3) Pachyeris speciosa

Model Summary(c) Model 1 2

R ,560(a) ,730(b)

R Square

Adjusted R Square

,314 ,533


,312 ,531

,04552 ,03760

DurbinWatson ,629

a Predictors: (Constant), ORG.TTL b Predictors: (Constant), ORG.TTL, TSS c Dependent Variable: GEL.460 ANOVA(c) Model 1


2


df

Mean Square

,431

1

,431 ,002

,943

455

1,374

456

,732

2

,366

,642

454

,001

1,374

456

F 208,115

,000(a)

259,054

,000(b)

a Predictors: (Constant), ORG.TTL b Predictors: (Constant), ORG.TTL, TSS c Dependent Variable: GEL.460 Model Summary(d) Model 1 2 3 a b c d

R

R Square

Adjusted R Square


,607(a)

,368

,367

,91021

,656(b) ,798(c)

,431 ,637

,428 ,634

,86470 ,69163

Predictors: (Constant), COND.A Predictors: (Constant), COND.A, TDS Predictors: (Constant), COND.A, TDS, ORG.SUSP Dependent Variable: GEL.560

Sig.

DurbinWatson

,277

217


4) Porites rus Model Summary(b) Model 1

R

R Square

,869(a)

Adjusted R Square

,755


,754

,67348

DurbinWatson ,306

a Predictors: (Constant), TURBID.A b Dependent Variable: GEL.560 ANOVA(b) Model 1


df

Mean Square

652,895

1

652,895

212,273

468

,454

865,168

469

F 1439,441

Sig. ,000(a)

a Predictors: (Constant), TURBID.A b Dependent Variable: GEL.560 Model Summary(b) Model 1

R

R Square

,902(a)

Adjusted R Square

,814


,814

,35147

DurbinWatson ,112

a Predictors : (Constant), TURBID.A b Dependent Variable: GEL.610 ANOVA(b) Model 1


df

Mean Square

252,860

1

252,860

57,811

468

,124

310,671

469

a Predictors: (Constant), TURBID.A b Dependent Variable: GEL.610

5) Acropora palifera Model Summary

Model 1

R

R Square

,904(a)

a Predictors: (Constant), TDS

,817


Std. Error of the Estimate 115227,0582 8

F 2046,986

Sig. ,000(a)

218


ANOVA(b) Sum of Squares Regressio 112711765 n 84321,210 Residual 252268224 2463,529 Total 137938588 26784,740 a Predictors: (Constant), TDS b Dependent Variable: GEL.810 Model 1

df 1 190

Mean Square 11271176584 321,210 13277274960, 334

F 848,907

Sig. ,000(a)

191

Coefficients(a) Unstandardized Standardized Coefficients Coefficients Model

B 9803012,5 29 840571,74 5 a Dependent Variable: GEL.810 1

Std. Error 335615,60 5

(Constant ) TDS

t

Beta

28849,921

-,904

Sig.

29,209

,000

-29,136

,000

6) Montipora ramosa Model Summary R

R Square

Adjusted R Square


Model 1

,683(a)

,467

,466

,04566

2

,840(b)

,706

,705

,03392

a Predictors: (Constant), KLOR.A b Predictors: (Constant), KLOR.A, TSS ANOVA(c) Model 1

2

Sum of Squar es Regressio n Residual Total Regressio n Residual Total

df

Mean Square

1,198

1

1,198

1,368

656

,002

2,565

657

1,812

2

,906

,754

655

,001

2,565

657

a Predictors: (Constant), KLOR.A b Predictors: (Constant), KLOR.A, TSS, c Dependent Variable: GEL.460

F

Sig.

574,302

,000(a)

787,444

,000(b)

219


2

B (Constant ) KLOR.A (Constant ) KLOR.A

Std. Error

4,628

,013

-,618

,026

4,161

,023

-,559

,019

,050

,002

TSS

t

Beta

Sig.

344,701

,000

-23,965

,000

184,534

,000

-,618

-28,911

,000

,494

23,108

,000

-,683


Model Summary(e)

Mod el

R

R Square

Adjuste dR Square


Durbin Watso n

Change Statistics R Square Change

F Change

df1

df2

Sig. F Change

1

,637(a)

,405

,404

,46308

,405

447,053

1

656

,000

2

,684(b) ,777(c)

,468 ,604

,466 ,602

,43828 ,37861

,063 ,136

77,345 223,717

1 1

655 654

,000 ,000

,851(d)

,724

,722

,31609

,121

285,336

1

653

,000

3 4 a b c d e

Predictors: (Constant), TSS Predictors: (Constant), TSS, COND.A Predictors: (Constant), TSS, COND.A, TDS Predictors: (Constant), TSS, COND.A, TDS, COND.D Dependent Variable: GEL.610 ANOVA(e)

Model 1

2

Sum of Squares

1

95,868

140,675

656

,214

Total

236,543

657

110,725

2

55,362

125,818

655

,192

236,543

657

142,794

3

47,598 ,143

Regressio n Residual Regressio n Residual Total

4

Mean Square

95,868

Total 3

df



a Predictors: (Constant), TSS

93,749

654

236,543

657

171,302

4

42,825

65,241

653

,100

236,543

657

F

Sig.

447,053

,000(a)

288,213

,000(b)

332,048

,000(c)

428,642

,000(d)

,788

220


b c d e

Predictors: (Constant), TSS, COND.A Predictors: (Constant), TSS, COND.A, TDS Predictors: (Constant), TSS, COND.A, TDS, COND.D Dependent Variable: GEL.610

Model Summary(d) Change Statistics

Mod el 1 2 3 a b c d

R Squar e

R

Adjuste dR Squar e


R Squar e Chang e

,705(a)

,497

,496

10,8880 3

,497

,829(b)

,688

,687

8,58183

,191

,912(c)

,831

,830

6,31465

,143

F Chang e 647,67 2 400,94 8 555,77 1

df1

df2

Sig. F Change

1

656

,000

1

655

,000

1

654

,000

Predictors: (Constant), ORG.LRT Predictors: (Constant), ORG.LRT, TDS Predictors: (Constant), ORG.LRT, TDS, TSS Dependent Variable: GEL.760

ANOVA(d) Model 1


df

76780,945

77768,235 154549,18 0 2 Regressio 106309,87 n 1 Residual 48239,308 Total 154549,18 0 3 Regressio 128471,09 n 4 Residual 26078,086 Total 154549,18 0 a Predictors: (Constant), ORG.LRT b Predictors: (Constant), ORG.LRT, TDS c Predictors: (Constant), ORG.LRT, TDS, TSS d Dependent Variable: GEL.760 Total

Mean Square 1

76780,945

656

118,549

F

Sig.

647,672

,000(a)

721,745

,000(b)

1073,955

,000(c)

657 2

53154,936

655

73,648

657 3

42823,698

654

39,875

657

Durbin Watso n

,012

221


7)

Goniopora

Mod el

R Square

R

1 2 3 a b c d

Adjuste dR Square

,619(a)

,383

,383

,708(b)

,502

,501

,734(c)

,538

,537

Model Summary(d) Std. Error of the Estimate Change Statistics R Square F Change Change df1 df2 691,73 ,03664 ,383 1 1114 7 264,67 ,03295 ,119 1 1113 2 ,03173 ,037 87,896 1 1112

DurbinWatson Sig. F Change ,000 ,000 ,000

1,777

Predictors: (Constant), DO.A Predictors: (Constant), DO.A, TURB.A Predictors: (Constant), DO.A, TURB.A, NO2 Dependent Variable: GEL.460 ANOVA(d) Sum of Squares

Model 1


2


3

a b c d


df

Mean Square

,929

1

,929

1,496

1114

,001

2,424

1115

1,216

2

,608

1,208

1113

,001

2,424

1115

1,304

3

,435

1,120

1112

,001

2,424

1115

F

Sig.

691,737

,000(a)

560,068

,000(b)

431,828

,000(c)

Predictors: (Constant), DO.A Predictors: (Constant), DO.A, TURB.A Predictors: (Constant), DO.A, TURB.A, NO2 Dependent Variable: GEL.460

Mod el

R

R Square

Adjuste dR Square

Model Summary(c) Std. Error of the Estimate R Square Change

1 2

F Change

df1

,730(a)

,533

,532

,92175

,533

1270,654

1

,732(b)

,536

,535

,91897

,003

7,751

1

a Predictors: (Constant), COND.A b Predictors: (Constant), COND.A, DO.D,

DurbinWatson

Change Statistics df2 111 4 111 3

c Dependent Variable: GEL.560

Sig. F Change ,000 ,005

,749

222


ANOVA(c) Sum of Squares

Model 1


2


df

Mean Square

1079,582

1

1079,582 ,850

946,484

1114

2026,066

1115

1086,127

2

543,064

939,939

1113

,845

2026,066

1115

F

Sig.

1270,654

,000(a)

643,052

,000(b)

a Predictors: (Constant), COND.A b Predictors: (Constant), COND.A, DO.D c Dependent Variable: GEL.560 Model Summary(b)

Model

1

R

,291(a)

R Squ are

Adjuste dR Square

,084


,084

1,62920

DurbinWatson

Change Statistics R Square Change ,084

F Change 102,771

df1 1

df2 1114

Sig. F Change ,000

1,893

a Predictors: (Constant), COND.A b Dependent Variable: GEL.660

Mod el

1 2 3 a b c d

R

R Square

Adjuste dR Square

Model Summary(d) Std. Error of the Estimate R Square Change

,672(a)

,451

,451

,03046

,451

,827(b)

,684

,683

,02314

,232

,838(c)

,702

,701

,02249

,018

Predictors: (Constant), DO.A Predictors: (Constant), DO.A, ORG.LRT Predictors: (Constant), DO.A, ORG.LRT, TURB.A Dependent Variable: GEL.760

DurbinWatson

Change Statistics F Change 916,15 6 817,61 0 66,624

df1

df2

Sig. F Change

1

1114

,000

1

1113

,000

1

1112

,000

1,847

223


ANOVA(d) Model 1

2

3

a b c d

Sum of Squares

df

Mean Square

Regres sio n Residual

,850

1

,850

1,034

1114

,001

Total

1,884

1115


1,288

2

,644

,596

1113

,001

Total

1,884

1115


1,322

3

,441

,562

1112

,001

Total

1,884

1115

F 916,156

,000(a)

1202,674

,000(b)

871,265

,000(c)

Predictors: (Constant), DO.A Predictors: (Constant), DO.A, ORG.LRT Predictors: (Constant), DO.A, ORG.LRT, TURB.A Dependent Variable: GEL.760

8)

Acropora valenceinnesi Model Summary(e)

Model 1

R ,610(a) ,697(b)

R Square ,372 ,486

3

,789(c)

4

,791(d)

2

a b c d e

Adjusted R Square


,371 ,485

,85341 ,77224

,622

,620

,66298

,625

,622

,66108

Predictors: (Constant), PO4 Predictors: (Constant), PO4, TSS Predictors: (Constant), PO4, TSS, TDS Predictors: (Constant), PO4, TSS, TDS, ORG.SUSP Dependent Variable: GEL.560

Sig.

DurbinWatson

1,361

224


ANOVA(e) Model 1


2


3


4


a b c d e

df

Mean Square

265,122

1

265,122

447,912

615

,728

713,034

616

346,871

2

173,435

366,163

614

,596

713,034

616

443,597

3

147,866

269,437

613

,440

713,034

616

445,575

4

111,394

267,459

612

,437

713,034

616

F 364,023

,000(a)

290,825

,000(b)

336,411

,000(c)

254,891

,000(d)

Predictors: (Constant), PO4 Predictors: (Constant), PO4, TSS Predictors: (Constant), PO4, TSS, TDS Predictors: (Constant), PO4, TSS, TDS, ORG.SUSP Dependent Variable: GEL.560

Model Summary(d) Model 1 2

R ,603(a)

R Square ,364


,709(b)

,502

,501

,40742

3

,720(c)

,518

,516

,40126

a b c d

Predictors: (Constant), TSS Predictors: (Constant), TSS, ORG.SUSP Predictors: (Constant), TSS, ORG.SUSP, TDS Dependent Variable: GEL.610


Sig.

DurbinWatson

,678

225


ANOVA(d) Model 1

2

Sum of Squares 74,461

1

74,461

615

,212

Total

204,829

616

102,911

2

51,456

101,918

614

,166

204,829

616

106,129

3

35,376

98,701

613

,161

204,829

616

Regressio n Residual Regressio n Residual Total

a b c d

Mean Square

130,369

Total 3

df


F

Sig.

351,260

,000(a)

309,993

,000(b)

219,710

,000(c)

Predictors: (Constant), TSS Predictors: (Constant), TSS, ORG.SUSP Predictors: (Constant), TSS, ORG.SUSP, TDS Dependent Variable: GEL.610

9) Porites sp

Model Summary(c) Model 1 2

R ,719(a) ,727(b)

R Square ,517 ,528

Adjusted R Square


,516 ,526

,35186 ,34814

DurbinWatson ,719

a Predictors: (Constant), TDS b Predictors: (Constant), TDS, SUHU.A c Dependent Variable: GEL.610 ANOVA(c) Model 1


2


df

Mean Square

67,262

1

67,262 ,124

62,768

507

130,030

508

68,700

2

34,350

61,329

506

,121

130,030

508

a Predictors: (Constant), TDS b Predictors: (Constant), TDS, SUHU.A c Dependent Variable: GEL.610

F

Sig.

543,300

,000(a)

283,407

,000(b)

226

Lampiran 14. Hasil Analisis Ragam (ANOVA) antara Reflektansi Spektral dengan Jenis Karang, Kelimpahan Zooxanthellae dan Parameter Optik K olom Air pada Panjang Gelombang 460-810nm

1)

Panjang Gelombang 460nm

Model Summary(d)

Model

1 2 3 a b c d

R

R Square

Adjusted R Square

,490(a)

,240

,222

,616(b)

,380

,350

,676(c)

,457

,417


,0365787791 199558 ,0334353415 253760 ,0316726032 119645


F Change

,240

13,577

1

43

,001

,140

9,465

1

42

,004

,077

5,805

1

41

,021

df1

df2

Sig. F Chang e

Predictors: (Constant), Goniastrea sp Predictors: (Constant), Goniastrea sp, Porites cyncira Predictors: (Constant), Goniastrea sp, Porites cyncira, Montipora ramosa Dependent Variable: 460nm ANOVA(d)

Model 1


2


3


a b c d

df

Mean Square

,018

1

,018

,058

43

,001

,076

44

,029

2

,014

,047

42

,001

,076

44

,035

3

,012

,041

41

,001

,076

44

Predictors: (Constant), Goniastrea sp Predictors: (Constant), Goniastrea sp, Porites cyncira Predictors: (Constant) , Goni astrea sp, Porites cyncira, Montipora ramosa Dependent Variable: 460nm

F

Sig.

13,577

,001(a)

12,857

,000(b)

11,487

,000(c)

227


2) Panjang Gelombang 510nm Model Summary(d) Std. Error Mod of the el R Estimate Change Statistics R Square F Change Change df1 df2 1 ,13072162 ,317(a) ,100 ,079 ,100 4,794 1 43 82293439 2 ,12404642 ,457(b) ,209 ,171 ,108 5,752 1 42 67612256 3 ,11942033 ,533(c) ,284 ,232 ,075 4,317 1 41 92196248 a Predictors: (Constant), Goniastrea sp b Predictors: (Constant), Goniastrea sp, Acropora palifera c Predictors: (Constant), Goniastrea sp, Acropora palifera, Symphillia agaricia d Dependent Variable: 510 nm R Squar e

Adjusted R Square

Sig. F Change ,034 ,021 ,044

ANOVA(d) Model 1


2


3


a b c d

df

Mean Square

,082

1

,082

,735

43

,017

,817

44

,170

2

,085

,646

42

,015

,817

44

,232

3

,077

,585

41

,014

,817

44

F

Sig.

4,794

,034(a)

5,538

,007(b)

5,423

,003(c)

Predictors: (Constant), Goniastrea sp Predictors: (Constant), Goniastrea sp, Acropora palifera Predictors: (Constant), Goniastrea sp, Acropora palifera, Symphillia agaricia Dependent Variable: 510 nm

228

Lampiran 14. Lanjutan 3) Panjang Gelombang 560nm Model Summary(c) Std. Adjuste Error of Mod R dR the R Change Statistics el Square Square Estimate R Square Chang F df1 df2 e Change 1 1,201832 ,393(a) ,154 ,135 5606055 ,154 7,846 1 43 200 2 1,140905 ,506(b) ,256 ,220 2920020 ,101 5,715 1 42 730 a Predictors: (Constant), Diploastrea heliopora b Predictors: (Constant), Diploastrea heliopora, Porites cyncira c Dependent Variable: 560 nm

Sig. F Change ,008

,021


Model 1

Regr essio n Residual

2

df

Mean Square

11,332

1

11,332 1,444

62,109

43

Total Regressio n Residual

73,442

44

18,772

2

9,386

54,670

42

1,302

Total

73,442

44

F

Sig.

7,846

,008(a)

7,211

,002(b)

a Predictors: (Constant), Diploastrea heliopora b Predictors: (Constant), Diploastrea heliopora, Porites cyncira c Dependent Variable: 560 nm

4) Panjang Gelombang 610nm

Mod el

R

R Square

Adjuste dR Square

Model Summary(e) Std. Error of the Estimate

Change Statistics

R Square Change

F Change

df1

df2

Sig. F Change

1

,414(a)

,171

,152

,67151155

,171

8,877

1

43

,005

2

,532(b)

,282

,248

,63216142

,111

6,520

1

42

,014

3

,602(c)

,362

,316

,60323384

,080

5,125

1

41

,029

4

,709(d)

,502

,452

,53964097

,140

11,232

1

40

,002

a b c d e

Predictors: (Constant), Diploastrea heliopora Predictors: (Constant), Diploastrea heliopora, Porites cyncira Predictors: (Constant), Diploastrea heliopora, Porites cyncira, jml zoo Predictors: (Constant), Diploastrea heliopora, Porites cyncira, jml zoo, Agaricia incrustan Dependent Variable: 610 nm

229

Lampiran 14. Lanjutan ANOVA(e) Sum of Squares

Model 1

2

4

a b c d e

Mean Square

4,003

1

4,003

19,390 23,393

43 44

,451


6,608

2

3,304

16,784

42

,400

23,393

44

Total Regressio n Residual Total Regressio n Residual Total

3

df


8,473

3

2,824

14,920 23,393

41 44

,364

11,744

4

2,936

11,648 23,393

40 44

,291

F

Sig.

8,877

,005(a)

8,268

,001(b)

7,762

,000(c)

10,082

,000(d)

Predictors: (Constant), Diploastrea heliopora Predictors: (Constant), Diploastrea heliopora, Porites cyncira Predictors: (Constant), Diploastrea heliopora, Porites cyncira, jml zoo Predictors: (Constant), Diploastrea heliopora, Porites cyncira, jml zoo, Agaricia incrustan Dependent Variable: 610 nm

5) Panjang Gelombang 660nm Model Summary(e) Mo del

R

R Square

Adjusted R Square

Std. Error of the Estimate R Square Change

1 2 3 4 a b c d e

,346(a)

,120

,100

,492(b)

,242

,206

,625(c)

,391

,346

,686(d)

,471

,418

,722895324729 1230 ,678766663588 9690 ,616029420557 5880 ,581182244120 8310

,120 ,122 ,148 ,080

Change Statistics F Chan ge df1 df2 5,86 1 43 5 6,77 1 42 3 9,99 1 41 0 6,06 1 40 4

Sig. F Change

Predictors: (Constant), jml zoo Predictors: (Constant), jml zoo, Porites cyncira Predictors: (Constant), jml zoo, Porites cyncira, Diploastrea heliopora Predictors: (Constant), jml zoo, Porites cyncira, Diploastrea heliopora, Agaricia incrustan Dependent Variable: 660 nm

,020 ,013 ,003 ,018

230

Lampiran 14. Lanjutan ANOVA(e) Sum of Squares

Model 1

2

3

4

df

Mean Square


3,065

1

3,065

22,471

43

,523

Total

25,536

44


6,185

2

3,093

19,350

42

,461

Total

25,536

44


9,977

3

3,326

15,559

41

,379

Total

25,536

44

12,025

4

3,006

13,511

40

,338


F

Sig.

5,865

,020(a)

6,713

,003(b)

8,763

,000(c)

8,900

,000(d)

Total

a b c d e

25,536 44 Predictors: (Constant), jml z oo Predictors: (Constant), jml zoo, Porites cyncira Predictors: (Constant), jml zoo, Porites cyncira, Diploastrea heliopora Predictors: (Constant), jml zoo, Porites cyncira, Diploastrea heliopora, Agaricia incrustan Dependent Variable: 660 nm


Model Summary(c)

Mo del

R

R Squar e

Adjust ed R Squar e

Std. Error of the Estimate R Square Change

1

,537(a ,048320872 ,288 ,272 ,288 ) 1725884 2 ,698(b ,041480079 ,488 ,463 ,199 ) 9388052 a Predictors: (Constant), Goniastrea sp b Predictors: (Constant), Goniastrea sp, Symphillia agaricia c Dependent Variable: 710 nm

Change Statistics F Chan ge df1 df2 17,40 1 43 3 16,35 1 42 2

Sig. F Change ,000 ,000

231



Model 1


2


df

Mean Square

,041

1

,041

,100

43

,002

,141

44

,069

2

,034

,072

42

,002

,141

44

F

Sig.

17,403

,000(a)

19,984

,000(b)

a Predictors: (Constant), Goniastrea sp b Predictors: (Constant), Goniastrea sp, Symphillia agaricia c Dependent Variable: 710 nm


Model Summary(c) Mod el

R

R Squar e

Adjusted R Square


Change Statistics

1

,502( ,0355222737849 ,252 ,234 a) 587 2 ,647( ,0316772927656 ,419 ,391 b) 716 a Predictors: (Constant), Porites cyncira b Predictors: (Constant), Porites cyncira, Goniastrea sp c Dependent Variable: 760 nm

R Square Change

F Change

,252

14,478

1

43

,000

,167

12,072

1

42

,001

df 1

df 2

Sig. F Change

ANOVA(c)

Model 1


2


df

Mean Square

,018

1

,018

,054

43

,001

,073

44

,030

2

,015

,042

42

,001

,073 44 a Predictors: (Constant), Porites cyncira b Predictors: (Constant), Porites cyncira, Goniastrea sp c Dependent Variable: 760 nm

F

Sig.

14,478

,000(a)

15,139

,000(b)

232



Model Summary(c)

Mo del

R

R Squar e

Adjust ed R Squar e



F Change

,180

9,454

1

43

,004

,093

5,385

1

42

,025

1

,425(a ,853381984828 ,180 ,161 ) 7010 2 ,523(b ,812939929252 ,273 ,239 ) 6520 a Predictors: (Constant), jml zoo b Predictors: (Constant), jml zoo, Leptoseris foliosa c Dependent Variable: 810 nm

df1

df2

Sig. F Change

ANOVA(c)

Model 1

2

Sum of Squares

df

Mean Square


6,885

1

6,885

31,315

43

,728

Total

38,200

44

10,444

2

5,222

27,757

42

,661

38,200

44


a Predictors: (Constant), jml zoo b Predictors: (Constant), jml zoo, Leptoseris foliosa c Dependent Variable: 810 nm

F

Sig.

9,454

,004(a)

7,901

,001(b)

233

Lampiran15. Hasil Analisis Ragam (ANOVA) Reflektansi Spektral 16 Jenis Karang dan Hasil Uji Beda Rata-rata (Tukey HSD 0.05) pada Panjang Gelombang 560, 610, 660 dan 760nm ANOVA Sum of Squares 6.311


df 14

Mean Square .451

8.105

9756

.001

14.416

9770

F 542. 555

Sig. .000

Descriptives 95% Confidence Interval for Mean N

Mean

Std. Deviation

Std. Error

Lower Bound

Upper Bound

Minimum

Maximum

Acropora formosa

195

.3001

.01268

.00091

.2983

.3019

.25

.32

Acropora palivera

191

.2979

.02328

.00168

.2946

.3012

.21

.33

1251

.2630

.02853

.00081

.2614

.2646

.15

.33

470

.2492

.03340

.00154

.2462

.2522

.19

.32

665

.2910

.02448

.00095

.2891

.2928

.19

.33

750

.2287

.01681

.00061

.2275

.2299

.16

.27

Ac.nasuta & valenceinnesi Porites rus Leptoseris foliosa Diploastrea heliopora Goniopora

1115

.2612

.03327

.00100

.2592

.2631

.15

.33

Sinularia sp. 2

481

.2811

.04362

.00199

.2772

.2850

.14

.33

Sinularia sp.3

438

.1903

.01738

.00083

.1887

.1920

.14

.23

Sinularia sp. 1

483 658

.2415 .2697

.01519 .04232

.00069 .00165

.2401 .2665

.2428 .2730

.18 .15

.28 .34

456

.2928

.02961

.00139

.2901

.2955

.20

.35

510

.2355

.01908

.00084

.2338

.2372

.15

.28

Porites lutea

1084

.2790

.03151

.00096

.2771

.2809

.15

.33

Symphillia agaricia

1024

.2858

.02412

.00075

.2843

.2873

.18

.34

Total

9771

.2640

.03841

.00039

.2632

.2647

.14

.35

Montipora ramosa Pachyer is rugosa Porites sp

234

Lampiran15. Lanjutan Tukey HSD Jenis Karang

N

Subset for alpha = .05

Sinularia sp.3

438


750

Porites sp

510

.2355

Sinularia sp.1

483

.2415

Porites rus

470

Goniopora

1115

.2612

1251

.2630

1

Ac.nasuta & Ac.valenceinnesi Montipora ramosa Porites lutea Sinularia sp.2 Symphillia agaricia

3

4

5

6

7

.2790 .2811

1024 456

Acropora palivera

191

Acropora formosa

195

10

11

12

.2697

481 665

9

.2492

1084

Pachyeris rugosa

8

.2287

658

Leptoseris foliosa

Sig.

2

.1903

.2811 .2858

.2858 .2910

.2910 .2928

.2928 .2979

.2979 .3001

1.000

1.000

.083

1.000

1.000

1.000

.998

.430

.256

1.000

.268

.998

235

Lampiran15. Lanjutan

Jenis Karang Sinularia sp.3 Diploastrea heliopora Porites sp Sinularia sp.1 Porites rus Goniopora Ac.nasuta & Ac.valenceinnesi Montipora ramosa Porites lutea Sinularia sp.2 Symphillia agaricia Leptoseris foliosa Pachyeris rugosa Acropora palivera Sinularia sp.3

Nilai Hasil Penerapan Formula 0,190349 0, 228694 0,235507 0,241485 0,249201 0,261188 0,263002 0,269738 0,279006 0,281133 0,285796 0,290956 0,292784 0,297904 0,300098

Nilai Hasil Standarisasi -0,49626 -0,12788 -0,06243 -0,005 0,069121 0,18428 0,201712 0,266418 0,355458 0,375895 0,420686 0,470257 0,487819 0,537008 0,558086 2

Uji nilai hasil penerapan formula dengan nilai hasil standarisasi (R = 1)

0,8

y = 9,6069x - 2,3249

0,6

R2 = 1

0,4 0,2 0 -0,2 0 -0,4 -0,6

Series1 Linear (Series1) 0,1

0,2

0,3

0,4

DAFTAR PUSTAKA. Abidin, H.Z., Jones, A. dan Kahar, J Survai dengan GPS. Cetakan Pertama. Pradnya Paramita. Jakarta

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