SUMMARY OUTPUT Regression Statistics
Multiple R 0.9993
R Square 0.9986
Adjusted R Square 0.9984
Standard Error 0.0214
Observations 50
ANOVA df
SS MS
F Significance
F Regression
6 13.8099
2.3016 5009.26
0.0000 Residual
43 0.0198
0.0005 Total
49 13.8296
Coefficients Standard
Error t Stat
P-value Lower 95
Upper 95
Lower 95.0
Upper 95.0
Intercept 1.8921
0.5010 3.7767
0.0005 0.8817
2.9024 0.8817
2.9024 X Variable 1
-1.0070 0.0093
-108.4889 0.0000
-1.0258 -0.9883
-1.0258 -0.9883
X Variable 2 -1.0175
0.2613 -3.8937
0.0003 -1.5445
-0.4905 -1.5445
-0.4905 X Variable 3
0.0025 0.0132
0.1927 0.8481
-0.0241 0.0292
-0.0241 0.0292
X Variable 4 -0.0143
0.0098 -1.4560
0.1527 -0.0340
0.0055 -0.0340
0.0055 X Variable 5
0.6785 0.1653
4.1055 0.0002
0.3452 1.0118
0.3452 1.0118
X Variable 6 0.9820
0.0153 64.0207
0.0000 0.9511
1.0130 0.9511
1.0130
restart; b0:=
1.89206714 ;
b1:= -1.007048313 ;
b2:= -1.017498887 ;
b3:= 0.002548592 ;
b4:= -0.014264732 ;
b5:= 0.678538463 ;
b6:= 0.982018208 ;
rata_LnA: = 3.7859 ;
rata_LnEd: = 1.9398 ;
rata_LnF: = 1.5716
; rata_LnEx: =
3.3532 ;
rata_LnI: = 13.1773 ;
b0 := 1.89206714
b1 := -1.007048313
b2 := -1.017498887
b3 := 0.002548592
b4 := -0.014264732
b5 := 0.678538463
b6 := 0.982018208
rata_LnA := 3.7859
rata_LnEd := 1.9398
rata_LnF := 1.5716
rata_LnEx := 3.3532
rata_LnI := 13.1773
lna:=b0+b2rata_LnA+b3rata_LnEd+b4rata_LnF+b5rata_LnEx+b6rata_LnI;
lna := 13.23806711
a:=explna;
a := 5.613316072 10
5 b:=b1;
b := -1.007048313
fQ:=Qa1b;
f Q :=
5.116592304 10
5
Q
0.9930010180
Qrata:= 64.16 ;
Qrata := 64.16
plotfQ,Q=0..Qrata;
N:= 50
; L:=
262.361 ;
N := 50
L := 262.361
U:=intfQ,Q=0..Qrata;
U := 7.526532605 10
7
P:=Qrataa1b;
P := 8210.421791
PS:=PQrata; PS
:= 5.267806621 10
5
CS:=U-PS;
CS := 7.473854539 10
7 Nilai_Ekonomi_Total:=CSNL;
Nilai_Ekonomi_Total := 1.424345566 10
7
plot{fQ,P},Q=0..Qrata;
Apendix 9. Calculation of Utility Value Estimation and Coral Fish Utilization Consumer Surplus in Village Tongali waters
No. Nama
Responden Tangkapan
Harga Umur
Pendidikan Tanggungan
Pengalaman Pendapatan
Q P
A Ed
F Ex
I
1 La Dada
110 9,667
47 6
7 32
1,040,000 2
La Bua 140
9,250 53
6 6
38 1,240,000
3 La Bakiri
65 9,667
37 9
7 22
635,000 4
Akbar Tolas 145
8,000 29
12 5
14 1,140,000
5 M. Amin
85 11,000
42 12
5 27
895,000 6
La Natsir 120
9,000 37
9 4
22 1,080,000
7 La Auma
75 9,667
65 6
5 50
730,000 8
La Ramani 80
7,000 47
9 4
32 540,000
9 Husni
45 15,000
25 12
3 10
675,000 10
La Kotanda 60
12,500 47
9 4
32 1,245,000
11 Kasim Tomsio
50 10,000
49 6
5 34
500,000 12
La Kimu 85
12,500 49
6 4
34 1,075,000
13 Abdul Wahid
30 9,000
49 12
5 34
270,000 14
La Rianto 80
8,000 40
12 4
25 640,000
15 La Sura
45 9,000
50 6
5 35
405,000 16
La Hamsi 73
12,500 40
9 6
25 945,000
17 Husen Fadara
60 15,000
37 9
5 22
900,000 18
La Yinta 45
15,000 30
9 4
15 675,000
19 La Toea
50 15,000
37 9
4 22
750,000 20
La Umini 90
7,000 30
9 4
15 620,000
21 M. Yasir
45 9,000
37 12
4 22
405,000 22
La Sunufi 75
9,500 45
6 5
30 720,000
23 Sulaiman
60 9,000
40 9
6 25
540,000 24
La Mahi 70
9,500 57
6 4
42 655,000
25 La Mbonu
75 9,500
41 12
5 26
710,000 26
Umar D 70
10,000 57
6 7
42 700,000
27 La Bai
40 20,000
30 12
5 15
800,000 28
Mustar 45
15,000 35
12 5
20 675,000
29 Saharuddin
55 15,000
32 12
4 17
825,000 30
Abdullah Kara 72
12,500 30
12 4
15 955,000
31 La Manggo Ali
50 10,000
37 9
5 22
500,000 32
La Nefo Hanif 60
13,000 40
9 6
25 780,000
33 Jamaludin H
45 10,000
40 12
5 25
450,000 34
Mukhlisa 56
15,000 30
9 4
15 840,000
35 Saludin R
48 15,000
37 9
5 22
720,000 36
Ahmat Mbolobo 85
9,500 40
9 7
25 790,000
37 La Ugi
70 9,000
40 6
5 25
630,000 38
Salim Tehe 42
15,000 47
6 4
32 630,000
39 Wuni
50 9,000
39 9
5 24
450,000 40
Musliadi 65
9,000 30
9 4
15 585,000
41 La Doruna
55 15,000
37 9
5 22
825,000 42
Rahman D 45
15,000 40
12 5
25 675,000
43 La Yili
90 8,000
52 6
6 37
720,000 44
La Puto 70
15,000 37
9 5
22 1,050,000
45 La Halili
70 15,000
43 9
6 28
1,050,000 46
La Babu 86
15,000 45
6 6
30 1,290,000
47 Usman K
55 15,000
41 9
7 26
825,000 48
La Dyfa 30
15,000 49
9 3
34 450,000
49 La Mano
35 15,000
44 9
5 29
525,000 50
La Kuasa 65
10,000 40
6 6
25 650,000
66.24 37.420.000
Jumlah Nelayan = 50 Luas Terumbu Karang = 262,36 Ha
Ln Q Ln P
Ln A Ln Ed
Ln F Ln Ex
Ln I
4.7005 9.1764
3.8501 1.7918
1.9459 3.4657
13.8547 4.9416
9.1324 3.9703
1.7918 1.7918
3.6376 14.0306
4.1744 9.1764
3.6109 2.1972
1.9459 3.0910
13.3614 4.9767
8.9872 3.3673
2.4849 1.6094
2.6391 13.9465
4.4427 9.3057
3.7377 2.4849
1.6094 3.2958
13.7046 4.7875
9.1050 3.6109
2.1972 1.3863
3.0910 13.8925
4.3175 9.1764
4.1744 1.7918
1.6094 3.9120
13.5008 4.3820
8.8537 3.8501
2.1972 1.3863
3.4657 13.1993
3.8067 9.6158
3.2189 2.4849
1.0986 2.3026
13.4225 4.0943
9.4335 3.8501
2.1972 1.3863
3.4657 14.0346
3.9120 9.2103
3.8918 1.7918
1.6094 3.5264
13.1224 4.4427
9.4335 3.8918
1.7918 1.3863
3.5264 13.8878
3.4012 9.1050
3.8918 2.4849
1.6094 3.5264
12.5062 4.3820
8.9872 3.6889
2.4849 1.3863
3.2189 13.3692
3.8067 9.1050
3.9120 1.7918
1.6094 3.5553
12.9116 4.2905
9.4335 3.6889
2.1972 1.7918
3.2189 13.7589
4.0943 9.6158
3.6109 2.1972
1.6094 3.0910
13.7102 3.8067
9.6158 3.4012
2.1972 1.3863
2.7081 13.4225
3.9120 9.6158
3.6109 2.1972
1.3863 3.0910
13.5278 4.4998
8.8537 3.4012
2.1972 1.3863
2.7081 13.3375
3.8067 9.1050
3.6109 2.4849
1.3863 3.0910
12.9116 4.3175
9.1590 3.8067
1.7918 1.6094
3.4012 13.4870
4.0943 9.1050
3.6889 2.1972
1.7918 3.2189
13.1993 4.2485
9.1590 4.0431
1.7918 1.3863
3.7377 13.3924
4.3175 9.1590
3.7136 2.4849
1.6094 3.2581
13.4730 4.2485
9.2103 4.0431
1.7918 1.9459
3.7377 13.4588
3.6889 9.9035
3.4012 2.4849
1.6094 2.7081
13.5924 3.8067
9.6158 3.5553
2.4849 1.6094
2.9957 13.4225
4.0073 9.6158
3.4657 2.4849
1.3863 2.8332
13.6231 4.2767
9.4335 3.4012
2.4849 1.3863
2.7081 13.7695
3.9120 9.2103
3.6109 2.1972
1.6094 3.0910
13.1224 4.0943
9.4727 3.6889
2.1972 1.7918
3.2189 13.5670
3.8067 9.2103
3.6889 2.4849
1.6094 3.2189
13.0170 4.0254
9.6158 3.4012
2.1972 1.3863
2.7081 13.6412
3.8712 9.6158
3.6109 2.1972
1.6094 3.0910
13.4870 4.4427
9.1590 3.6889
2.1972 1.9459
3.2189 13.5798
4.2485 9.1050
3.6889 1.7918
1.6094 3.2189
13.3535 3.7377
9.6158 3.8501
1.7918 1.3863
3.4657 13.3535
3.9120 9.1050
3.6636 2.1972
1.6094 3.1781
13.0170 4.1744
9.1050 3.4012
2.1972 1.3863
2.7081 13.2794
4.0073 9.6158
3.6109 2.1972
1.6094 3.0910
13.6231 3.8067
9.6158 3.6889
2.4849 1.6094
3.2189 13.4225
4.4998 8.9872
3.9512 1.7918
1.7918 3.6109
13.4870 4.2485
9.6158 3.6109
2.1972 1.6094
3.0910 13.8643
4.2485 9.6158
3.7612 2.1972
1.7918 3.3322
13.8643 4.4543
9.6158 3.8067
1.7918 1.7918
3.4012 14.0702
4.0073 9.6158
3.7136 2.1972
1.9459 3.2581
13.6231 3.4012
9.6158 3.8918
2.1972 1.0986
3.5264 13.0170
3.5553 9.6158
3.7842 2.1972
1.6094 3.3673
13.1712 4.1744
9.2103 3.6889
1.7918 1.7918
3.2189 13.3847
3.6952 2.1585
1.5849 3.2092
13.4755
SUMMARY OUTPUT Regression Statistics
Multiple R 0.9810
R Square 0.9624
Adjusted R Square 0.9572
Standard Error 0.0721
Observations 50
ANOVA df
SS MS
F Significance
F Regression
6 5.7284
0.9547 183.4675
0.0000 Residual
43 0.2238
0.0052 Total
49 5.9521
Coefficients Standard
Error t Stat
P-value Lower 95
Upper 95
Lower 95.0
Upper 95.0
Intercept 0.7529
1.3879 0.5425
0.5903 -2.0461
3.5519 -2.0461
3.5519 X Variable 1
-1.0065 0.0438
-22.9977 0.0000
-1.0948 -0.9182
-1.0948 -0.9182
X Variable 2 0.2819
0.6627 0.4253
0.6727 -1.0546
1.6183 -1.0546
1.6183 X Variable 3
-0.0511 0.0549
-0.9295 0.3578
-0.1618 0.0597
-0.1618 0.0597
X Variable 4 0.1047
0.0592 1.7675
0.0842 -0.0148
0.2242 -0.0148
0.2242 X Variable 5
-0.2420 0.3992
-0.6061 0.5476
-1.0470 0.5631
-1.0470 0.5631
X Variable 6 0.9242
0.0354 26.0843
0.0000 0.8527
0.9957 0.8527
0.9957
restart; b0:=
0.7529 ;
b1:= -1.006497255 ;
b2:= 0.281857381 ;
b3:= -0.051057126 ;
b4:= 0.1046986 ;
b5:= -0.241968936 ;
b6:= 0.924202375 ;
rata_LnA:= 3.6952
; rata_LnEd:=
2.1585 ;
rata_LnF:= 1.5849
; rata_LnEx:=
3.2092 ;
rata_LnI:= 13.4755 ;
b0 := 0.7529
b1 := -1.006497255
b2 := 0.281857381
b3 := -0.051057126
b4 := 0.1046986
b5 := -0.241968936
b6 := 0.924202375
rata_LnA := 3.6952
rata_LnEd := 2.1585
rata_LnF := 1.5849
rata_LnEx := 3.2092
rata_LnI := 13.4755
Ina:=b0+b2rata_LnA+b3rata_LnEd+b4rata_LnF+b5rata_LnEx+b6rata_ LnI;
lna := 13.52771179
a:=explna;
a := 7.499124835 10
5
b:=b1;
b := -1.006497255
fQ:=Qa1b;
f Q :=
6.872037962 10
5
Q
0.9935446868
Qrata:= 66.24 ;
Qrata := 66.24
plotfQ,Q=0..Qrata;
N:= 50
; L:=
262.36 ;
N := 50
L := 262.36
U:=intfQ,Q=0..Qrata;
U := 1.093765281 10
8
P:=Qrataa1b;
P := 10659.11452
PS:=PQrata;
PS := 7.060597458 10
5
CS:=U-PS;
CS := 1.086704684 10
8
Nilai_Ekonomi_Total:=CSNL;
Nilai_Ekonomi_Total := 2.071018227 10
7
Nilai Ekonomi Total = 27.101.8227Ha plot{fQ,P},Q=0..Qrata;
Appendix 10 . Estimated Length and Weight of Coral Fish in Research Station
No Estimasi
F
Spesies Rata2 panjang
1 Chaetodon Vagabundus
9 12
21 10.5
0.0278 2.9730
1086.4151 30.2023
2 Chaetodon auriga
8 11
19 9.5
0.0311 2.9760
812.2794 25.2619
3 Chaetodon trifascialis
5 12
17 8.5
0.0312 2.9530
555.3593 17.3272
4 Chaetodon unimaculatus
10 11
21 10.5
0.0533 2.8333
782.2321 41.6930
5 Chaetodon melannotus
7 10
17 8.5
0.0267 3.0490
682.0219 18.2100
6 Chaetodon xanthurus
9 10
19 9.5
0.022 3.1900
1315.037995 28.9308
7 Chaetodon raflesi
7 9
16 8.0
0.0222 3.1400
685.0189 15.2074
8 Chaetodon punctatofasciatus
6 9
15 7.5
0.0267 3.0490
465.6523 12.4329
9 Chaetodon lunulatus
5 10
15 7.5
0.0693 2.6215
196.7764 13.6366
10 Chaetodon baronessa
7 10
17 8.5
0.0448 2.8280
425.0076 19.0403
11 Chaetodon kleinii
4 11
15 7.5
0.0448 2.8280
298.3137 13.3645
12 Chaetodon lunula
10 11
21 10.5
0.0257 3.1000
1464.4914 37.6374
13 Chaetodon ephippium
12 14
26 13
0.0225 3.0609
2568.4387 57.7899
14 Chaetodon ocellicaudus
6 10
16 8
0.0318 2.9840
495.2455 15.7488
15 Chaetodon ornatissimus
10 11
21 10.5
0.0257 3.1000
1464.4914 37.6374
16 Chaetodon ulietensis
11 12
23 11.5
0.0311 2.8741
1118.2828 34.7786
17 Chaetodon adiergastos
10 12
22 11
0.0257 3.1000
1691.6765 43.4761
18 Forcipiger flavissimus
9 12
21 10.5
0.021 3.0000
1157.6250 24.3101
19 Heniochus chrysostomus
8 16
24 12
0.0132 3.3690
4322.7649 57.0605
20 Heniochus varius
10 12
22 11
0.025 3.0000
1331.0000 33.2750
21 Heniochus acuminatus
12 16
28 14
0.0247 3.1058
3627.8093 89.6069
22 Centropyge bicolor
9 13
22 11
0.0415 3.0000
1331.0000 55.2365
23 Centropyge tibicen
7 11
18 9
0.0492 2.7945
464.1204 22.8347
24 Centropyge vroliki
8 10
18 9
0.0537 2.8860
567.4713 30.4732
25 Centropyge bispinosus
10 12
22 11
0.092 2.4580
362.8634 33.3834
26 Pomacanthus imperator
21 26
47 23.5
0.0102 3.4690
57047.2106 581.8815
27 Pygoplites diacanthus
12 22
34 17
0.0161 2.929
4017.7683 64.6861
28 Chaetodontoplus conspicillatus
9 10
19 9.5
0.0179 2.9298
732.0397 13.1035
29 Chaetodontoplus mesoleucus
9 10
19 9.5
0.0104 2.9670
795.9869 8.2783
30 Platax pinnatus
5 21
26 13
0.0425 2.9750
2060.5420 87.5730
31 Platax boersi
21 30
51 25.5
0.0425 2.975
15291.7446 649.8991
32 Acanthurus olivaceus
12 18
30 15
0.007 3.3980
9916.4927 69.4154
33 Acanthurus blochii
17 24
41 20.5
0.0178 3.1440
13309.2670 236.9050
34 Acanthurus auranticavus
19 28
47 23.5
0.0041 3.0000
12977.8750 53.2093
35 Acanthurus pyroferus
12 18
30 15
0.0051 3.0000
3375.0000 17.2125
36 Acanthurus nigrofuscus
17 20
37 18.5
0.0301 2.9670
5750.4061 173.0872
37 Ctenochaetus tominiensis
12 16
28 14
0.0231 3.0635
3244.6155 74.9506
38 Paracanthurus hepatus
12 14
26 13
0.0409 3.0660
2602.2578 106.4323
39 Zebrasoma scopas
7 14
21 10.5
0.0304 2.9570
1046.3013 31.8076
40 Ctenochaetus striatus
10 20
30 15
0.0231 3.0635
4008.2571 92.5907
41 Naso thynnoides
9 20
29 14.5
0.051 2.7154
1424.2252 72.6355
1 Chaetodontidae
Family Spesies Ikan
Length Estimation CM Kisaran
JML
4 Acanthuridae
a b
2 Pomacanthidae
3 Ephippidae
118
b
aL W
b
L
Appedix 10 Continuation
No Estimasi
F Spesies
Rata2 panjang
5 Zanclidae
42 Zanclus cornutus
9 19
28 14
0.0147 3.3699
7283.4454 107.0666
43 Siganus puellus
22 28
50 25
0.0246 3.0000
15625.0000 384.3750
44 Siganus guttatus
25 30
55 27.5
0.0174 3.0000
20796.8750 361.8656
45 Siganus doliatus
18 24
42 21
0.0104 3.2721
21204.7792 220.5297
46 Siganus vulpinus
18 22
40 20
0.0287 3.0000
8000.0000 229.6000
47 Amblyglyphidodon curacao
5 8
13 6.5
0.0126 3.4351
620.0671 7.8128
48 Amblyglyphidodon leucogaster
5 10
15 7.5
0.0048 3.0000
421.8750 2.0250
49 Amblyglyphidodon ternatensis
4 8
12 6
0.0048 3.0000
216.0000 1.0368
50 Amphiprion percula
3 7
10 5
0.0316 2.9298
111.6458 3.5280
51 Amphiprion perideraion
2 7
9 4.5
0.0409 3.0000
91.1250 3.7270
52 Amphiprion ocellaris
3 8
11 5.5
0.0385 2.9041
141.2821 5.4394
53 Amphiprion sandaricinos
3 8
11 5.5
0.0358 3.0000
166.3750 5.9562
54 Premnas biaculeatus
2 11
13 6.5
0.0537 2.886
221.8543 11.9136
55 Amblyglyphidodon aureus
8 11
19 9.5
0.0126 3.4351
2283.3809 28.7706
56 Amphiprion clarkii
2 8
10 5
0.0235 3.0000
125.0000 2.9375
57 Dascyllus reticulatus
2 5
7 3.5
0.0311 3.1327
50.6293 1.5746
58 Dascyllus trimaculatus
2 5
7 3.5
0.108 2.75
31.3464 3.3854
59 Dascyllus aruanus
2 4
6 3
0.0136 2.686
19.1226 0.2601
60 Neoglyphidodon crossi
4 7
11 5.5
0.0178 3.1822
226.9772 4.0402
61 Pomacentrus littoralis
5 8
13 6.5
0.0281 3.084
321.3844 9.0309
62 Pomacentrus muluccensis
2 7
9 4.5
0.0305 3.0121
92.7986 2.8304
63 Chromis amboinensis
2 7
9 4.5
0.0258 3
91.1250 2.3510
64 Chromis retrofasciata
2 4
6 3
0.009 2.773
21.0406 0.1894
65 Chromis ternatensis
2 6
8 4
0.016 3.408
112.6732 1.8028
66 Chromis atripectoralis
4 9
13 6.5
0.0179 3.2907
473.2101 8.4705
67 Neoglyphidodon nigroris
5 10
15 7.5
0.0178 3.1822
609.0037 10.8403
68 Pomacentrus alexanderae
4 8
12 6
0.0135 3.312
377.7782 5.1000
69 Dischistodus perspicillatus
7 11
18 9
0.0537 2.8860
567.4713 30.4732
70 Neoglyphidodon thoracotaeniatus
8 11
19 9.5
0.0206 3.1462
1191.5548 24.5460
71 Chrysiptera talboti
2 6
8 4
0.0399 3.0000
64.0000 2.5536
72 Pomacentrus amboinensis
5 7
12 6
0.0439 2.8238
157.5228 6.9153
73 Chrysiptera springeri
2 5
7 3.5
0.038 3.0000
42.8750 1.6293
74 Chrysiptera hemicyanea
2 5
7 3.5
0.0399 3.0000
42.8750 1.7107
75 Chromis sp
2 4
6 3
0.0379 3.0000
27.0000 1.0233
76 Chromis viridis
1 8
9 4.5
0.0351 2.8997
78.3647 2.7506
77 Chrysiptera rollandi
2 6
8 4
0.022 3.0012
64.1066 1.4103
78 Abudefduf vaigiensis
7 10
17 8.5
0.099 3.267
1087.4558 107.6581
79 Chromis margaritifer
6 8
14 7
0.0044 3.0000
343.0000 1.5092
80 Pomacentrus bangkanensis
5 7
12 6
0.0215 3.21
314.6774 6.7656
b
6 Siganidae
7 Pomacentridae
Family Spesies Ikan
Length Estimation CM Kisaran
JML a
119
b
aL W
b
L
Appedix 10 Continuation
No Estimasi
F
Spesies Rata2 panjang
81 Lutjanus gibbus
18 29
47 23.5
0.0153 3.091
17296.9991 264.6441
82 Lutjanus bohar
6 12
18 9
0.0156 3.0587
829.3571 12.9380
83 Lutjanus decussatus
21 30
51 25.5
0.0201 3.0000
16581.3750 333.2856
84 Lutjanus fulviflama
29 34
63 31.5
0.0205 2.9599
27217.5737 557.9603
85 Macolor niger
26 36
62 31
0.0308 3.0000
29791.0000 917.5628
86 Aprion virescens
35 40
75 37.5
0.0162 2.905
37373.2471 605.4466
87 Lutjanus kasmira
18 29
47 23.5
0.0111 3.1540
21103.1865 234.2454
88 Scolopsis bilineatus
12 18
30 15
0.0138 3.1738
5403.5408 74.5689
89 Scolopsis lineatus
10 20
30 15
0.0257 3.0000
3375.0000 86.7375
90 Gnonathodentex aureolineatus
13 20
33 16.5
0.018 3.0625
5352.3509 96.3423
91 Monotaxis heterodon
7 16
23 11.5
0.0239 3.011
1562.2884 37.3387
92 Lethrinus amboninensis
18 28
46 23
0.0204 3
12167.0000 248.2068
93 Elegatis bipinnulatus
30 40
70 35
0.0135 2.92
32261.0642 435.5244
94 Caranx melampygus
25 30
55 27.5
0.0211 2.941
17103.2031 360.8776
95 Sphyraena helleri
20 35
55 27.5
0.0047 3
20796.8750 97.7453
96 Sphyraena barracuda
50 55
105 52.5
0.007 2.972
129513.0258 906.5912
97 Scomberomurus commerson
25 35
60 30
0.0205 2.9599
23557.6086 482.9310
98 Rastrelliger kanagurta
20 30
50 25
0.0061 3.191
28895.2574 176.2611
99 Gymnosarda unicolor
34 39
73 36.5
0.0105 3.065
61436.6646 645.0850
100 Pterocaesio tile
12 14
26 13
0.0174 3.0000
2197.0000 38.2278
101 Pterocaesio pisang
12 18
30 15
0.0074 3.15
5066.2599 37.4903
102 Pterocaesio trilineata
8 14
22 11
0.0107 3.1778
2038.6265 21.8133
103 Pseudanthias huchti
4 10
14 7
0.0425 2.975
326.7132 13.8853
104 Pseudanthias bicolor
4 8
12 6
0.0254 3.0000
216.0000 5.4864
105 Cephalopholis argus
24 30
54 27
0.0093 3.1807
35705.7964 332.0639
106 Cephalopholis urodeta
17 23
40 20
0.0138 3.173
13432.8503 185.3733
107 Cephalopholis miniata
20 35
55 27.5
0.0107 3.1141
30354.6998 324.7953
108 Epinephelus polyphekadion
20 28
48 24
0.0124 3.057
16569.3612 205.4601
109 Epinephelus merra
18 25
43 21.5
0.0096 3.196
18133.1527 174.0783
110 Plectropomus oligocanthus
35 38
73 36.5
0.0132 3.0000
48627.1250 641.8781
111 Variola louti
21 35
56 28
0.0122 3.0791
28572.2403 348.5813
112 Epinephelus fasciatus
19 28
47 23.5
0.0161 2.929
10371.8868 166.9874
113 Aethaloperca rogaa
31 34
65 32.5
0.0299 3.0000
34328.1250 1026.4109
114 Cirrhitichthys falco
6 9
15 7.5
0.0033 3.8493
2335.4648 7.7070
115 Paracirrhites forsteri
6 9
15 7.5
0.0201 3.0000
421.8750 8.4797
116 Diagramma melanacrum
30 32
62 31
0.0077 3.131
46714.6892 359.7031
117 Plectorhinchus vittatus
21 27
48 24
0.0132 3.0000
13824.0000 182.4768
118 Plectorhinchus chaetodonnoides
28 30
58 29
0.0215 3.0000
24389.0000 524.3635
119 Chlorurus bleekeri
21 29
50 25
0.0041 3.0000
15625.0000 64.0625
120 Chlorurus sordidus
23 30
53 26.5
0.0127 3.141
29540.3264 375.1621
121 Cetosscarus bicolor
22 27
49 24.5
0.0174 3.0000
14706.1250 255.8866
8 Lutjanidae
15 Anthiinae
12 9
Nemipteridae 10
Lethrinidae 11
Carangidae
14 Caesionidae
Sphyraenidae 13
Scombridae
17 Cirrhitidae
16 Serranidae
19 Scaridae
18 Haemullidae
Family Spesies Ikan
Length Estimation CM Kisaran
JML a
b
120
b
aL W
b
L
Appedix 10 Continuation
No
Estimasi
F Spesies
Rata2 panjang
122 Cheilinus fasciatus
16 19
35 17.5
0.0318 3.0000
5359.3750 170.4281
123 Cirrhilabrus solorensis
4 9
13 6.5
0.0415 3.0000
274.6250 11.3969
124 Cheilinus chlorourus
12 15
27 13.5
0.0197 2.9932
2417.2136 47.6191
125 Anampses meleagrides
8 12
20 10
0.015 3.0000
1000.0000 15.0000
126 Thalassoma lunare
10 15
25 12.5
0.0211 2.8317
1276.7918 26.9403
127 Halichoeres hortulanus
10 18
28 14
0.0222 3.0000
2744.0000 60.9168
128 Thalassoma hardwicke
8 17
25 12.5
0.0126 2.878
1435.1821 18.0833
129 Halichoeres leucurus
10 12
22 11
0.0215 3.0000
1331.0000 28.6165
130 Halichoeres chrysus
8 12
20 10
0.0175 2.9568
905.3156 15.8430
131 Halichoeres chloropterus
10 12
22 11
0.016 2.87
974.5340 15.5925
132 Bodianus mesothorax
7 10
17 8.5
0.0174 3.0000
614.1250 10.6858
133 Hemigymnus melapterus
8 12
20 10
0.0182 3.0000
1000.0000 18.2000
134 Halichoeres negrescens
8 11
19 9.5
0.0182 3.0000
857.3750 15.6042
135 Halichoeres melanurus
7 10
17 8.5
0.0156 3.0000
614.1250 9.5804
136 Oxcheilinus celebicus
9 11
20 10
0.0201 3.0000
1000.0000 20.1000
137 Choerodon anchorago
8 13
21 10.5
0.0145 3.125
1553.1613 22.5208
138 Labroides dimidiatus
5 8
13 6.5
0.0108 3.0000
274.6250 2.9660
139 Diproctacanthus xanthurus
5 6
11 5.5
0.0076 3.105
198.9877 1.5123
140 Labroides bicolor
5 7
12 6
0.0409 3.0000
216.0000 8.8344
141 Cheilio inermis
12 15
27 13.5
0.0036 3.066
2921.4828 10.5173
142 Gomphosus varius
4 7
11 5.5
0.0124 3.002
166.9432 2.0701
143 Pseudocheilinus hexataenia
5 7
12 6
0.0415 3.0000
216.0000 8.9640
144 Myripristis murdjan
7 11
18 9
0.0376 3.0000
729.0000 27.4104
145 Sargocentron spiniferum
7 11
18 9
0.0154 3.1188
946.4366 14.5751
146 Neoniphon sammara
8 11
19 9.5
0.0276 2.8884
666.8941 18.4063
147 Apogon aureus
4 6
10 5
0.0081 3.409
241.4286 1.9556
148 Apogon compressus
4 6
10 5
0.0108 3.0000
125.0000 1.3500
149 Cheilodipterus macrodon
5 7
12 6
0.0041 3.577
607.3612 2.4902
23 Pseudochromidae
150 Pseudochromis paranox
6 8
14 7
0.0076 3.105
420.7551 3.1977
151 Nemateleotris magnifica
5 8
13 6.5
0.007 2.972
260.6025 1.8242
152 Ptereleotris avides
7 8
15 7.5
0.0278 2.9730
399.5371 11.1071
25 Callionymidae
153 Synchiropus splendidus
4 6
10 5
0.0109 3.3415
216.5750 2.3607
154 Parapercis sp
6 12
18 9
0.0100 3.1000
908.1379 9.0814
155 Parapercis clathrata
9 11
20 10
0.0124 3.002
1004.6158 12.4572
156 Parapercis hexophthalma
9 12
21 10.5
0.0085 3.0000
1157.6250 9.8398
27 Synodontidae
141 Synodus dermatogenys
8 17
25 12.5
0.0047 3.3455
4674.2555 21.9690
142 Koumansetta rainfordi
4 6
10 5
0.0081 3.0000
125.0000 1.0125
143 Valenciennea strigata
6 8
14 7
0.0087 3.0000
343.0000 2.9841
144 Amblyeleotris guttata
5 6
11 5.5
0.0129 3.0000
166.3750 2.1462
145 Amblyeleotris sp
5 6
11 5.5
0.0245 3.0000
166.3750 4.0762
146 Amblyeleotris steinitzi
4 6
10 5
0.0090 3.0000
125.0000 1.1250
28 Gobiidae
Apogonidae Ptereleotridae
20 Labridae
Family
21 Holocentridae
24 22
Pinguipedidae
b Spesies Ikan
Length Estimation CM Kisaran
JML a
26
121
b
aL W
b
L
Appedix 10 Continuation
No
Estimasi
F
Spesies Rata2 panjang
29 Blenniidae
163 Meiacanthus grammistes
5 6
11 5.5
0.0285 3.0000
166.3750 4.7417
164 Pterois volitans
12 15
27 13.5
0.0178 2.84
1622.3625 28.8781
165 Pterois antennata
13 15
28 14
0.0266 3.0000
2744.0000 72.9904
166 Scorpaenopsis sp
12 17
29 14.5
0.0326 2.9801
2890.6318 94.2346
31 Platycephalidae
167 Cymbacephalus beaufirti
40 50
90 45
0.004 3.2105
203066.7300 812.2669
168 Ostracion cubicus
3 5
8 4
0.101 2.588
36.1519 3.6513
169 Ostracion solorensis
4 5
9 4.5
0.007 2.972
87.3670 0.6116
170 Parupeneus crassilabris
12 16
28 14
0.0123 3.081
3397.9773 41.7951
171 Parupeneus multifasciatus
10 13
23 11.5
0.0114 3.2108
2545.0049 29.0131
172 Parupeneus vanicolensis
10 12
22 11
0.0036 3.451
3925.0587 14.1302
173 Parupeneus barbarinus
10 13
23 11.5
0.0151 3.078
1840.0429 27.7846
34 Aulostomidae
174 Aulostomus chenensis
25 35
60 30
0.0367 2.9432
22256.8284 816.8256
35 Centriscidae
175 Aeoliscus strigatus
9 12
21 10.5
0.0326 2.9720
1083.8635 35.3340
36 Pempheridae
176 Pempheris vanicolensis
6 7
13 6.5
0.0119 3.026
288.3207 3.4310
177 Balistoides conspicillum
9 15
24 12
0.0174 3.0000
1728.0000 30.0672
178 Sufflamen chrysopterus
6 12
18 9
0.0174 3.0000
729.0000 12.6846
179 Balistapus undulatus
5 7
12 6
0.007 2.972
205.4308 1.4380
180 Odonus niger
5 15
20 10
0.0366 3.0000
1000.0000 36.6000
181 Canthigaster bennetti
3 5
8 4
0.0266 3.0000
64.0000 1.7024
182 Canthigaster papua
3 6
9 4.5
0.0252 3.0000
91.1250 2.2964
183 Arothron nigropunctatus
17 20
37 18.5
0.0266 3.0000
6331.6250 168.4212
184 Canthigaster valentini
3 5
8 4
0.0367 2.9432
59.1538 2.1709
39 Syngnathidae
185 Dunckerocampus dactyliophorus
10 14
24 12
0.0174 3.0000
1728.0000 30.0672
186 Gymnothorax javanicus
90 100
190 95
0.0035 3.0000
857375.0000 3000.8125
187 Rhinomuraena quaesita
65 85
150 75
0.004 2.561
63391.6266 253.5665
188 Gymnothorax fimbriatus
50 60
110 55
0.0004 3.3236
608512.4032 243.4050
189 Heteroconger hassi
40 45
85 42.5
0.004 2.561
14801.4428 59.2058
41 Carcharhinidae
190 Carcharinus melanopterus
130 145
275 137.5
0.0033 3.1000
4253420.9351 14036.2891
42 Desyatidae
191 Taeniura lymma
45 60
105 52.5
0.0174 3.0000
144703.1250 2517.8344
43 Diodontidae
192 Diodon sp
8 12
20 10
0.285 2.345
221.3095 63.0732
44 Plotosidae
193 Plotosus lineatus
4 6
10 5
0.0082 3.457
260.8190 2.1387
Sumber : a dan b . WWW. Fishbased.org
39,771.12 JUMLAH BIOMASA Kg
Family Spesies Ikan
Length Estimation CM Kisaran
JML a
40 Muraenidae
38 Tetraodontidae
32
b
Mullidae
37 Balistidae
30 Scorpaenidae
Ostraciidae 33
122
b
aL W
b
L
Appendix 11. Calculation of reef fisheries simulation models
Appendix 12. Fish biomass simulation results using 147 boats.
Bulan Stok
Ikan Recruitmen
Total Penangkapan
Jumlah Kapal
Mortality Keuntungan
1 39,771.12
23,862.67 17,889.90
147 11,931.34
194,223,750.00 2
33,812.56 20,287.53
14,700.00 147
10,143.77 154,350,000.00
3 29,256.32
17,553.79 11,025.00
147 8,776.90
108,412,500.00 4
27,008.22 16,204.93
8,570.10 147
8,102.47 77,726,250.00
5 26,540.59
15,924.35 10,878.00
147 7,962.18
106,575,000.00 6
23,624.76 14,174.86
8,423.10 147
7,087.43 75,888,750.00
7 22,289.09
13,373.45 17,889.90
147 6,686.73
194,223,750.00 8
11,085.92 6,651.55
10,731.00 147
3,325.77 104,737,500.00
9 3,680.69
2,208.41 5,889.11
147 44,213,826.76
10 147
-29,400,000.00 11
147 -29,400,000.00
12 147
-29,400,000.00 13
147 -29,400,000.00
14 147
-29,400,000.00 15
147 -29,400,000.00
16 147
-29,400,000.00 17
147 -29,400,000.00
18 147
-29,400,000.00 19
147 -29,400,000.00
20 147
-29,400,000.00 21
147 -29,400,000.00
22 147
-29,400,000.00 23
147 -29,400,000.00
24 147
-29,400,000.00 25
147 -29,400,000.00
26 147
-29,400,000.00 27
147 -29,400,000.00
28 147
-29,400,000.00 29
147 -29,400,000.00
30 147
-29,400,000.00 31
147 -29,400,000.00
32 147
-29,400,000.00 33
147 -29,400,000.00
34 147
-29,400,000.00 35
147 -29,400,000.00
36 147
-29,400,000.00 37
147 -29,400,000.00
38 147
-29,400,000.00 39
147 -29,400,000.00
40 147
-29,400,000.00 41
147 -29,400,000.00
Appendix 12 Continues
Bulan Stok
Ikan Recruitmen
Total Penangkapan
Jumlah Kapal
Mortality Keuntungan
42 147
-29,400,000.00 43
147 -29,400,000.00
44 147
-29,400,000.00 45
147 -29,400,000.00
46 147
-29,400,000.00 47
147 -29,400,000.00
48 147
-29,400,000.00 49
147 -29,400,000.00
50 147
-29,400,000.00 51
147 -29,400,000.00
52 147
-29,400,000.00 53
147 -29,400,000.00
54 147
-29,400,000.00 55
147 -29,400,000.00
56 147
-29,400,000.00 57
147 -29,400,000.00
58 147
-29,400,000.00 59
147 -29,400,000.00
Final 147
-29,400,000.00
Appendix 13. Fish biomass simulation results using 125 boats.
Bulan Stok
Ikan Recruitmen
Total Penangkapan
Jumlah Kapal
Mortality Keuntungan
1 39,771.1
23,862.67 15,212.50
125 11,931.34
165,156,250.00 2
36,489.9 21,893.97
12,500.00 125
10,946.99 131,250,000.00
3 34,936.9
20,962.17 9,375.00
125 10,481.08
92,187,500.00 4
36,043.0 21,625.82
7,287.50 125
10,812.91 66,093,750.00
5 39,568.4
23,741.06 9,250.00
125 11,870.53
90,625,000.00 6
42,188.9 25,313.38
7,162.50 125
12,656.69 64,531,250.00
7 47,683.1
28,609.89 15,212.50
125 14,304.95
165,156,250.00 8
46,775.6 28,065.36
9,125.00 125
14,032.68 89,062,500.00
9 51,683.2
31,009.97 8,500.00
125 15,504.98
81,250,000.00 10
58,688.2 35,212.96
11,337.50 125
17,606.48 116,718,750.00
11 64,957.2
38,974.34 10,837.50
125 19,487.17
110,468,750.00 12
73,606.9 44,164.15
10,000.00 125
22,082.07 100,000,000.00
13 85,688.9
51,413.39 13,500.00
125 25,706.70
143,750,000.00 14
97,895.6 58,737.41
11,587.50 125
29,368.70 119,843,750.00
15 115,676.8
69,406.13 11,212.50
125 34,703.06
115,156,250.00 16
139,167.4 83,500.47
10,287.50 125
41,750.23 103,593,750.00
17 170,630.1
102,378.11 11,587.50
125 51,189.05
119,843,750.00 18
210,231.7 126,139.04
8,962.50 125
63,069.52 87,031,250.00
19 264,338.7
158,603.25 11,962.50
125 79,301.63
124,531,250.00 20
331,677.8 199,006.73
15,625.00 125
99,503.37 170,312,500.00
21 415,556.2
249,333.75 9,662.50
125 124,666.87
95,781,250.00 22
530,560.6 318,336.37
13,537.50 125
159,168.19 144,218,750.00
23 676,191.3
405,714.79 10,000.00
125 202,857.39
100,000,000.00 24
869,048.7 521,429.22
9,162.50 125
260,714.61 89,531,250.00
25 1,120,600.8
672,360.49 12,250.00
125 336,180.24
128,125,000.00 26
1,444,531.0 866,718.63
9,537.50 125
433,359.32 94,218,750.00
27 1,868,352.8
1,121,011.72 18,125.00
125 560,505.86
201,562,500.00 28
2,410,733.7 1,446,440.24
8,787.50 125
723,220.12 84,843,750.00
29 3,125,166.3
1,875,099.82 10,087.50
125 937,549.91
101,093,750.00 30
4,052,628.7 2,431,577.26
8,712.50 125
1,215,788.63 83,906,250.00
31 5,259,704.9
3,155,822.94 10,000.00
125 1,577,911.47
100,000,000.00 32
6,827,616.3 4,096,569.82
15,212.50 125
2,048,284.91 165,156,250.00
33 8,860,688.7
5,316,413.26 11,237.50
125 2,658,206.63
115,468,750.00 34
11,507,657.9 6,904,594.74
8,712.50 125
3,452,297.37 83,906,250.00
35 14,951,242.7
8,970,745.67 9,625.00
125 4,485,372.83
95,312,500.00 36
19,426,990.6 11,656,194.37
10,987.50 125
5,828,097.18 112,343,750.00
37 25,244,100.3
15,146,460.18 11,162.50
125 7,573,230.09
114,531,250.00 38
32,806,167.8 19,683,700.73
9,862.50 125
9,841,850.37 98,281,250.00
39 42,638,155.7
25,582,893.45 11,337.50
125 12,791,446.72
116,718,750.00 40
55,418,264.9 33,250,958.98
10,000.00 125
16,625,479.49 100,000,000.00
41 72,033,744.4
43,220,246.68 15,212.50
125 21,610,123.34
165,156,250.00 42
93,628,655.3 56,177,193.18
9,912.50 125
28,088,596.59 98,906,250.00
43 121,707,339.4
73,024,403.64 10,000.00
125 36,512,201.82
100,000,000.00 44
158,209,541.2 94,925,724.73
13,500.00 125
47,462,862.37 143,750,000.00
45 205,658,903.5
123,395,342.15 18,212.50
125 61,697,671.08
202,656,250.00 46
267,338,362.1 160,403,017.30
15,375.00 125
80,201,508.65 167,187,500.00
47 347,524,495.8
208,514,697.49 21,625.00
125 104,257,348.74
245,312,500.00 48
451,760,219.5 271,056,131.73
16,587.50 125
135,528,065.87 182,343,750.00
49 587,271,697.9
352,363,018.75 18,212.50
125 176,181,509.38
202,656,250.00
Appendix 13 Continues
Bulan Stok
Ikan Recruitmen
Total Penang-
kapan Jumlah
Kapal Mortality
Keuntungan 50
763,434,994.7 458,060,996.88
13,937.50 125
229,030,498.44 149,218,750.00
51 992,451,555.7
595,470,933.44 12,225.00
125 297,735,466.72
127,812,500.00 52
1,290,174,797.4 774,104,878.47
16,862.50 125
387,052,439.24 185,781,250.00
53 1,677,210,374.1
1,006,326,224.51 16,775.00
125 503,163,112.26
184,687,500.00 54
2,180,356,711.4 1,308,214,026.86
12,462.50 125
654,107,013.43 130,781,250.00
55 2,834,451,262.3
1,700,670,757.42 9,787.50
125 850,335,378.71
97,343,750.00 56
3,684,776,853.5 2,210,866,112.15
13,375.00 125
1,105,433,056.08 142,187,500.00
57 4,790,196,534.6
2,874,117,920.80 15,162.50
125 1,437,058,960.40
164,531,250.00 58
6,227,240,332.5 3,736,344,199.54
12,337.50 125
1,868,172,099.77 129,218,750.00
59 8,095,400,094.8
4,857,240,056.90 13,500.00
125 2,428,620,028.45
143,750,000.00 Final
10,524,006,623.2 125
201,562,500.00
Appendix 14. Fish biomass simulation results using 131boats.
Bulan Stok Ikan
Recruitmen Total
Penangkapan Jumlah
Kapal Mortality
Keuntungan 1
39,771.1 23,862.7
15,942.70 131
11,931.3 173,083,750.00
2 35,759.7
21,455.9 13,100.00
131 10,727.9
137,550,000.00 3
33,387.6 20,032.6
9,825.00 131
10,016.3 96,612,500.00
4 33,578.9
20,147.3 7,637.30
131 10,073.7
69,266,250.00 5
36,015.3 21,609.2
9,694.00 131
10,804.6 94,975,000.00
6 37,126.0
22,275.6 7,506.30
131 11,137.8
67,628,750.00 7
40,757.5 24,454.5
15,942.70 131
12,227.2 173,083,750.00
8 37,042.0
22,225.2 9,563.00
131 11,112.6
93,337,500.00 9
38,591.6 23,155.0
8,908.00 131
11,577.5 85,150,000.00
10 41,261.1
24,756.7 11,881.70
131 12,378.3
122,321,250.00 11
41,757.8 25,054.6
11,357.70 131
12,527.3 115,771,250.00
12 42,927.4
25,756.4 10,480.00
131 12,878.2
104,800,000.00 13
45,325.6 27,195.4
14,148.00 131
13,597.7 150,650,000.00
14 44,775.4
26,865.2 12,143.70
131 13,432.6
125,596,250.00 15
46,064.3 27,638.5
11,750.70 131
13,819.2 120,683,750.00
16 48,132.9
28,879.7 10,781.30
131 14,439.8
108,566,250.00 17
51,791.4 31,074.8
12,143.70 131
15,537.4 125,596,250.00
18 55,185.2
33,111.1 9,392.70
131 16,555.5
91,208,750.00 19
62,348.1 37,408.8
12,536.70 131
18,704.4 130,508,750.00
20 68,515.8
41,109.5 16,375.00
131 20,554.7
178,487,500.00 21
72,695.5 43,617.3
10,126.30 131
21,808.6 100,378,750.00
22 84,377.9
50,626.7 14,187.30
131 25,313.3
151,141,250.00 23
95,504.0 57,302.4
10,480.00 131
28,651.2 104,800,000.00
24 113,675.2
68,205.1 9,602.30
131 34,102.5
93,828,750.00 25
138,175.5 82,905.3
12,838.00 131
41,452.6 134,275,000.00
26 166,790.1
100,074.1 9,995.30
131 50,037.0
98,741,250.00 27
206,831.9 124,099.1
18,995.00 131
62,049.5 211,237,500.00
28 249,886.4
149,931.9 9,209.30
131 74,965.9
88,916,250.00 29
315,643.1 189,385.8
10,571.70 131
94,692.9 105,946,250.00
30 399,764.3
239,858.6 9,130.70
131 119,929.3
87,933,750.00 31
510,563.0 306,337.8
10,480.00 131
153,168.9 104,800,000.00
32 653,251.9
391,951.1 15,942.70
131 195,975.5
173,083,750.00 33
833,284.7 499,970.8
11,776.90 131
249,985.4 121,011,250.00
34 1,071,493.2
642,895.9 9,130.70
131 321,447.9
87,933,750.00 35
1,383,810.5 830,286.3
10,087.00 131
415,143.1 99,887,500.00
36 1,788,866.7
1,073,320.0 11,514.90
131 536,660.0
117,736,250.00 37
2,314,011.8 1,388,407.1
11,698.30 131
694,203.5 120,028,750.00
38 2,996,517.1
1,797,910.2 10,335.90
131 898,955.1
102,998,750.00 39
3,885,136.3 2,331,081.8
11,881.70 131
1,165,540.9 122,321,250.00
40 5,038,795.6
3,023,277.3 10,480.00
131 1,511,638.6
104,800,000.00 41
6,539,954.2 3,923,972.5
15,942.70 131
1,961,986.2 173,083,750.00
Appendix 14 Continues
Bulan Stok Ikan
Recruitmen Total
Penangkapan Jumlah
Kapal Mortality
Keuntungan 42
8,485,997.8 5,091,598.7
10,388.30 131
2,545,799.3 103,653,750.00
43 11,021,408.9
6,612,845.3 10,480.00
131 3,306,422.6
104,800,000.00 44
14,317,351.6 8,590,410.9
14,148.00 131
4,295,205.4 150,650,000.00
45 18,598,409.1
11,159,045.4 19,086.70
131 5,579,522.7
212,383,750.00 46
24,158,845.1 14,495,307.0
16,113.00 131
7,247,653.5 175,212,500.00
47 31,390,385.6
18,834,231.4 22,663.00
131 9,417,115.7
257,087,500.00 48
40,784,838.3 24,470,903.0
17,383.70 131
12,235,451.5 191,096,250.00
49 53,002,906.1
31,801,743.7 19,086.70
131 15,900,871.8
212,383,750.00 50
68,884,691.3 41,330,814.8
14,606.50 131
20,665,407.4 156,381,250.00
51 89,535,492.2
53,721,295.3 12,811.80
131 26,860,647.6
133,947,500.00 52
116,383,328.0 69,829,996.8
17,671.90 131
34,914,998. 194,698,750.00
53 151,280,654.6
90,768,392.7 17,580.20
131 45,384,196.3
193,552,500.00 54
196,647,270.8 117,988,362.49
13,060.70 131
58,994,181.3 137,058,750.00
55 255,628,391.3
153,377,034.82 10,257.30
131 76,688,517.4
102,016,250.00 56
332,306,651.4 199,383,990.89
14,017.00 131
99,691,995.4 149,012,500.00
57 431,984,629.9
259,190,777.9 15,890.30
131 129,595,388.9
172,428,750.00 58
561,564,128.6 336,938,477.2
12,929.70 131
168,469,238.5 135,421,250.00
59 730,020,437.4
438,012,262.5 14,148.00
131 219,006,131.3
150,650,000.00 Final
949,012,420.7 131
211,237,500.00
1. INTRODUCTION
1.1. Background
Indonesian coastal and sea are the high potential diversity area. Coastal resources take main role play in supporting regional and national economy
development, that increases national income, income source and community income. Coastal resources have benefits because they are provided in large
amount with wide diversity range, with low price usage. Coastal area provides productive natural resources as food source, as well as
energy and mineral mine, communication media as well as recreation or tourism. Therefore, coastal area is the foundation of human sources in fulfilling their needs
in the future. Coastal development is a changing process to increase community living
level, attached with coastal resources usage. Natural source is changed in this activity which can affect the environment. The higher the development rate is, the
higher the natural resources usage will be and the bigger the changes in environment is, especially for coral reefs ecosystem.
Coral reefs is rich ecosystem in biotic diveristy. This ecosystem is the habitat for sea organisms that structures complex food chains. As a natural ecosystem,
coral reefs plays important role and function for sea fertilizing and economy of coastal community.
Coral reefs advantage is divided by direct advantage and indirect advantage. Direct advantage can be used directly by human, for example fishcoral
stonestourismresearch source usage as well as other biota usage, contained in the area. Indirect advantage can be described as the function of coral reefs as beach
barrier, beach abrasion barricade, biotic diveristy, etc. According to coral reefs coverage, Indonesia is the second largest after
Australia, which covers as wide as 42.000 km
2
COREMAP-LIPI, 1998. Coral reefs in Indonesia is estimated as much as around 42.000 km
2
or 16.50 of total world coral reefs. Further, Veron 1995 stated that Indonesian coral reefs is the
center of world biotic diversity which consists of 70 genera and 450 species.
Ironically, from year to year, Indonesian coral reefs condition is poor. Based on COREMAP data 2001 in Yatin and Irmadi 2003, it is known that Indonesian
coral reefs condition is as follows : 6,51 is very good, 26,04 is good, 34,71 is moderate, and 32,74 is poor. According to P2O-LIPI 2006 Indonesian coral
reefs condition is as follows : 39.50 is poor, 33.50 is moderate, 21.70 is good, and only 3.50 is very good. The change is caused by two main reasons,
human activity and natural cause. The decreasing of coral reefs condition in Liwutongkidi Island is caused by
human activities. Based on a research using Line Intercept Transect LIT method by Marine and Fisheries Agency of Buton regency 2007, reported that coral
reefs at Liwutongkidi island and surrounding was badly damaged in certain spots at 3m and 10m depth. Some fishermen also reported that the damage is caused by
human factors catching method using potassium, fish trap and bomb. This kind of fishing activity in the area will cause the instinction of small
fishes and reefs biota zooxanthellae which can threaten the ecosystem and species preservation. Further, without improving effort, the valuable comodities
will lose as well as economic growth that will be going down. This condition has triggered a sustainable reef ecosystem based management effort.
To know the change of coral reefs ecosystem condition in Liwutongkidi Island and surroundings, a research or study related to potency, changing and
usage of coral reefs shall be conducted, to determine the actual reefs condition. Liwutongkidi Island coastal area has huge ocean resources if it is managed
integratedly, considering the relation among resource components in a model, to keep the preservation of coastal resources.
Considering coral reefs condition nowadays and the important value of reefs ecology as well as economy and related ecosystem for human life, a Coral Reefs
Ecosystem Based Ecology-Economy Analysis of Fisheries Management in
Liwutongkidi Island of Buton Regency, Southeast Sulawesi Province. 1.2. Issue Formulation
Community living in the coastal area like fishermen and farmers depend on coastal resources. Fragile coastal resources and environment condition will affect
the social economy and social culture aspects.
The coral reefs damage is caused by human activities, like fishing method using explossive material and poison potassium and cyanide, shown by physical
damage coral reefs spots. According to Bappeda 2005, Kecamatan Siompu at coordinate 050 40’23’’ SL, 1220 33’57’’ EL has 50- 75 of reefs coverage and
Kecamatan Kadatua at coordinate 050 31’21’’ SL, 1220 28’14’’ EL has 25-35 of reefs coverage. Reefs mining for construction and road material also cause the
ecosystem damage. Coastal resources issues relate to lack of community knowledge about the importance of coral reefs ecosystem for supporting their life.
So far, the coastal resources usage by community has been orientated to instant utilization without considering its sustainability.
To implement the preservation of coastal and marine resources in increasing and maintaining fisheries production, study model is needed using coral reefs
based ecology economy approach by answering basic questions as follow : 1. How is the ecologic characteristic, especially coral reefs and reef fishes
condition 2. How is the optimal utilization of reef fisheries sustainably
3. How is the ecosystem based reef fisheries management
1.3 Research Objectives and Benefits
The research objectives are : 1. To identify composition charactersitic of bottom surface, fish community
composition and its co-relation with the habitat at coral reefs ecosystem in conservation area of Liwutongkidi Island
2. To estimate economy value of coral reefs ecosystem in conservation area of Liwutongkidi Island
3. To formulate management concept of coral reefs ecosystem based on ecology- economy model in conservation area of Liwutongkidi Island
The research benefits are : 1. To give basic information for coral reefs ecosystem authority in conservation
area of Liwutongkidi Island. 2. As guideline in integrated and sustainable planning, policy, utilization and
management of coral reefs ecosystem.
1.4. Work Frame
Liwutongkidi Island conservation area as a rich biotic resources area and as nursery ground and spawning ground, is well managed. On the other hand, its
over utilization is feared to affect the natural resources and its environment. This concerns have made us to do something to protect this area through Sea
Conservation Area. Ecology-economy management is very important to understand how far the utilization of Sea Conservation Area gives the direct
benefits as well as indirect benefits, economically benefits as well as non- economically benefits for coastal community.
Without good planning, the resources conservation will be threatened and this will affect the marine resources, utilized by humans. The exploration of
resource potency has absolutely to be conducted sustainably. Sustainable coral reefs management is very important to conduct. The
existence of productive coral reefs ecosystem shall support local fishermen’s life. When coral reefs ecosystem could be functioned optimally, fisheries production
will increase as well social economy activities indirectly. Not only is fisheries purely economy activity, but it has been a way of living
for most of small scale fishermen in tropical region. Therefore, social-ecology approach which acommodates ecology and economy aspects in a system would be
appropriate to be considered for future fisheries resources management. Coastal management is a process of an effort to control human activities in
using natural resources of coastal region, to be able to produce as maximum benefit as possible for community, at present time as well as for future time.
Therefore, to determine good management system, we need to understand the characteristic of dynamic coral reefs ecosystem and unique environment
condition. The perspective similarity about objectives, utilization pattern and coral reefs ecosystem management shall be a good place to reach benefits for
community. Further more, the quality of coral reefs ecosystem and social economy
condition of local community towards some criteria’s of reef fisheries ecosystem based management, is conducted using ecology and economy approaches.
Coral reefs ecosystem is one of typical tropical coastal area, that has important functions ecologically as well as economically. The function is to
provide nutrients for water biota, physical shelter, spawning ground, playing ground and nursery ground. Besides ecology function, coral reefs also produces
various products with high economy value, like reef fishes, reef crustaceans, algae, sea cucumber, etc.
Ecology approach of coral reefs ecosystem is one of the important factors to identify the changes happened in fish community structure, includes coral
covering percentage, diversity, homogeneity and domination of reef fishes as well as to identify the co-relation between the fish and the reef. To identify the coral
reefs condition, LIT Line Intercept Transect method is used, with transect as long as 70 meter, as deep as 3-10 meter along the coastal line.
Economy approach from reef fisheries economy aspect is determined by direct use value and indirect use value. Direct use value are products that can be
utilized directly, for example consuming fish and ornamental fish, while indirect use value is difficult to identify because the value changes from time to time, for
example reef ecosystem as natural breakwater and habitat for various reef fishes.
Besides that, coral reefs provide direct and indirect utilization for community, especially coastal community around Liwutongkidi Island. The most dominant
and valuable utilization is the products coming from marine fisheries resources supported by reefs ecosystem.
Ecology and economy approach is used as based in determining policy approach pattern by studying using ecology-economy approach to produce an
integrated and sustainable coral reef based management. An integrated coastal region management is an interactive and evolutionary process to implement the
coastal region development optimally and sustainably. In preparing ecology-economy management in utilizing the reef fisheries in
coastal region of Liwutongkidi Island, we need to prepare a model of system dinamics, using comprehensive Stella software 9.02 version to describe the
relation of ecology-economy utilization of coral reefs ecosystem in coastal region of Liwutongkidi Island, to identify the problem root which bases the decreasing
coral reefs ecosystem in the coastal region of Liwutongkidi Island and to