warteg mm - core.ac.uk · suhu kentang duncan a 30 28,95647 30 36,84880 30 57,25577 1,000 1,000...
TRANSCRIPT
Lam
pira
n 1.
Sta
tistik
Des
krip
tif M
asak
an P
ada
Ber
baga
i Per
laku
an
1.1
Peru
baha
n K
ondi
si M
asak
an A
ntar
Wak
tu
1.1.
1 W
arte
g M
M
• K
enta
ng
Des
crip
tives
306,
2827
0,9
8278
9,1
7943
25,
9157
26,
6496
84,
387
7,60
330
7,81
430
,668
615
,122
072
7,56
464
8,06
396
6,14
18,
830
309,
2763
0,9
6050
5,1
7536
38,
9176
49,
6349
68,
025
11,4
4890
7,79
110
1,50
7204
,158
873
7,47
542
8,10
678
4,38
711
,448
3057
,255
772,
4825
84,4
5325
656
,328
7558
,182
7850
,467
61,1
5830
36,8
4880
3,85
7767
,704
329
35,4
0829
38,2
8931
30,2
7544
,767
3028
,956
471,
2116
49,2
2121
628
,504
0329
,408
9026
,400
30,5
0590
41,0
2034
12,2
9265
51,
2957
6038
,445
7043
,594
9926
,400
61,1
5830
5,57
022
,012
776
,002
333
5,56
545
5,57
499
5,54
55,
591
305,
6581
0,0
2697
3,0
0492
55,
6480
35,
6681
75,
610
5,69
230
5,76
325
,002
883
,000
526
5,76
217
5,76
432
5,76
05,
768
905,
6638
5,0
8117
6,0
0855
75,
6468
55,
6808
65,
545
5,76
8
0 4 8 Tota
l0 4 8 To
tal
0 4 8 Tota
l
Jum
lah
MO
Ken
tang
Suh
u ke
ntan
g
PH
NM
ean
Std
. Dev
iatio
nS
td. E
rror
Low
er B
ound
Upp
er B
ound
95%
Con
fiden
ce In
terv
al fo
rM
ean
Min
imum
Max
imum
AN
OV
A
134,
449
267
,224
86,3
52,0
0067
,729
87,7
7820
2,17
889
1279
5,83
62
6397
,918
852,
537
,000
652,
897
877,
505
1344
8,73
389
,560
2,2
8093
4,94
6,0
00,0
2687
,000
,586
89
Bet
wee
n G
roup
sW
ithin
Gro
ups
Tota
lB
etw
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Gro
ups
With
in G
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sTo
tal
Bet
wee
n G
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sW
ithin
Gro
ups
Tota
l
Jum
lah
MO
Ken
tang
Suh
u ke
ntan
g
PH
Sum
of
Squ
ares
dfM
ean
Squ
are
FS
ig.
P
ost H
oc T
ests
H
omog
eneo
us S
ubse
ts
Jum
lah
MO
Ken
tang
Dun
cana
306,
2827
030
7,81
430
309,
2763
01,
000
1,00
01,
000
JAM
_KE
0 4 8 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
Suh
u ke
ntan
g
Dun
cana
3028
,956
4730
36,8
4880
3057
,255
771,
000
1,00
01,
000
JAM
_KE
8 4 0 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
P
H
Dun
cana
305,
5702
230
5,65
810
305,
7632
51,
000
1,00
01,
000
JAM
_KE
0 4 8 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
• Ta
hu
Des
crip
tives
306,
5378
7,1
5093
5,0
2755
76,
4815
16,
5942
36,
290
6,84
830
8,23
307
,992
441
,181
194
7,86
248
8,60
365
6,09
99,
773
309,
7743
31,
0305
43,1
8815
19,
3895
210
,159
148,
300
11,5
6490
8,18
176
1,56
2416
,164
693
7,85
451
8,50
900
6,09
911
,564
3058
,243
60,8
5195
4,1
5554
557
,925
4858
,561
7256
,463
59,3
6730
38,2
6967
3,55
2121
,648
526
36,9
4328
39,5
9605
32,6
0042
,910
3029
,883
301,
5943
55,2
9108
829
,287
9630
,478
6427
,500
33,3
3590
42,1
3219
12,1
7689
51,
2835
5739
,581
7944
,682
5927
,500
59,3
6730
5,52
667
,071
310
,013
019
5,50
004
5,55
329
5,40
05,
650
305,
7196
7,1
3285
9,0
2425
75,
6700
65,
7692
85,
500
5,93
030
5,93
683
,239
275
,043
685
5,84
749
6,02
618
5,62
06,
380
905,
7277
2,2
3334
8,0
2459
75,
6788
55,
7766
05,
400
6,38
0
0 4 8 Tota
l0 4 8 To
tal
0 4 8 Tota
l
Jum
lah
MO
Tah
u
Suh
u ta
hu
PH
_TA
HU
NM
ean
Std
. Dev
iatio
nS
td. E
rror
Low
er B
ound
Upp
er B
ound
95%
Con
fiden
ce In
terv
al fo
rM
ean
Min
imum
Max
imum
Te
st o
f Hom
ogen
eity
of V
aria
nces
23,4
212
87,0
0032
,104
287
,000
25,9
762
87,0
00
Jum
lah
MO
Tah
uS
uhu
tahu
PH
_TA
HU
Leve
neS
tatis
ticdf
1df
2S
ig.
AN
OV
A
157,
239
278
,620
113,
956
,000
60,0
2287
,690
217,
262
8912
735,
958
263
67,9
7912
02,6
13,0
0046
0,67
587
5,29
513
196,
633
892,
526
21,
263
47,3
78,0
002,
320
87,0
274,
846
89
Bet
wee
n G
roup
sW
ithin
Gro
ups
Tota
lB
etw
een
Gro
ups
With
in G
roup
sTo
tal
Bet
wee
n G
roup
sW
ithin
Gro
ups
Tota
l
Jum
lah
MO
Tah
u
Suh
u ta
hu
PH
_TA
HU
Sum
of
Squ
ares
dfM
ean
Squ
are
FS
ig.
P
ost H
oc T
ests
H
omog
eneo
us S
ubse
ts
Jum
lah
MO
Tah
u
Dun
cana
306,
5378
730
8,23
307
309,
7743
31,
000
1,00
01,
000
JAM
_KE
0 4 8 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
Suh
u ta
hu
Dun
cana
3029
,883
3030
38,2
6967
3058
,243
601,
000
1,00
01,
000
JAM
_KE
8 4 0 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
P
H_T
AH
U
Dun
cana
305,
5266
730
5,71
967
305,
9368
31,
000
1,00
01,
000
JAM
_KE
0 4 8 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
1.1.
2 W
arte
g S
eder
hana
22
• K
enta
ng
Des
crip
tives
305,
9435
1,5
0439
5,0
9209
05,
7551
76,
1318
55,
503
6,58
930
6,92
960
,736
382
,134
444
6,65
463
7,20
457
5,80
87,
997
307,
9909
7,7
2322
8,1
3204
37,
7209
18,
2610
27,
029
9,32
890
6,95
469
1,06
6243
,112
392
6,73
137
7,17
801
5,50
39,
328
3058
,464
,932
9,1
703
58,1
1658
,813
57,3
60,2
3033
,526
3,59
55,6
564
32,1
8334
,868
26,0
39,5
3028
,937
1,02
56,1
872
28,5
5429
,320
27,6
30,6
9040
,309
13,2
307
1,39
4637
,538
43,0
8026
,060
,230
5,54
637
,034
164
,006
238
5,53
361
5,55
912
5,50
05,
585
305,
6481
7,0
2875
2,0
0524
95,
6374
35,
6589
05,
600
5,69
130
5,74
102
,040
520
,007
398
5,72
589
5,75
615
5,66
05,
793
905,
6451
8,0
8703
5,0
0917
45,
6269
65,
6634
15,
500
5,79
3
0 4 8 Tota
l0 4 8 To
tal
0 4 8 Tota
l
Jum
lah_
MO
[Ken
tang
]
Suh
u [K
enta
ng]
pH [K
enta
ng]
NM
ean
Std
. Dev
iatio
nS
td. E
rror
Low
er B
ound
Upp
er B
ound
95%
Con
fiden
ce In
terv
al fo
rM
ean
Min
imum
Max
imum
AN
OV
A
62,9
102
31,4
5571
,503
,000
38,2
7287
,440
101,
182
8915
148,
973
275
74,4
8615
30,2
30,0
0043
0,64
187
4,95
015
579,
614
89,5
692
,284
234,
646
,000
,105
87,0
01,6
7489
Bet
wee
n G
roup
sW
ithin
Gro
ups
Tota
lB
etw
een
Gro
ups
With
in G
roup
sTo
tal
Bet
wee
n G
roup
sW
ithin
Gro
ups
Tota
l
Jum
lah_
MO
[Ken
tang
]
Suh
u [K
enta
ng]
pH [K
enta
ng]
Sum
of
Squ
ares
dfM
ean
Squ
are
FS
ig.
P
ost H
oc T
ests
H
omog
eneo
us S
ubse
ts
Jum
lah_
MO
[Ken
tang
]
Dun
cana
305,
9435
130
6,92
960
307,
9909
71,
000
1,00
01,
000
JAM
_KE
0 4 8 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
Suh
u [K
enta
ng]
Dun
cana
3028
,937
3033
,526
3058
,464
1,00
01,
000
1,00
0
JAM
_KE
8 4 0 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
pH
[Ken
tang
]
Dun
cana
305,
5463
730
5,64
817
305,
7410
21,
000
1,00
01,
000
JAM
_KE
0 4 8 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
• Ta
hu
Des
crip
tives
305,
3578
3,7
3996
7,1
3509
95,
0815
35,
6341
44,
322
6,82
930
6,56
409
,673
211
,122
911
6,31
271
6,81
547
5,16
57,
987
308,
2856
3,7
7020
4,1
4061
97,
9980
38,
5732
37,
191
9,97
190
6,73
585
1,40
6778
,148
287
6,44
121
7,03
050
4,32
29,
971
3057
,340
,830
6,1
516
57,0
3057
,650
56,1
58,9
3036
,222
3,36
38,6
141
34,9
6537
,478
31,7
43,5
3029
,218
1,04
48,1
907
28,8
2829
,608
27,3
31,1
9040
,927
12,1
963
1,28
5638
,372
43,4
8127
,358
,930
5,63
000
,131
752
,024
055
5,58
080
5,67
920
5,35
05,
920
305,
6116
7,0
5126
6,0
0936
05,
5925
25,
6308
15,
500
5,72
030
5,76
533
,122
100
,022
292
5,71
974
5,81
093
5,60
06,
050
905,
6690
0,1
2696
1,0
1338
35,
6424
15,
6955
95,
350
6,05
0
0 4 8 Tota
l0 4 8 To
tal
0 4 8 Tota
l
JML_
MO
_T
SU
HU
_TA
H
PH
_TA
HU
NM
ean
Std
. Dev
iatio
nS
td. E
rror
Low
er B
ound
Upp
er B
ound
95%
Con
fiden
ce In
terv
al fo
rM
ean
Min
imum
Max
imum
AN
OV
A
129,
908
264
,954
122,
249
,000
46,2
2587
,531
176,
133
8912
858,
827
264
29,4
1414
72,8
03,0
0037
9,79
287
4,36
513
238,
620
89,4
232
,211
18,1
68,0
001,
012
87,0
121,
435
89
Bet
wee
n G
roup
sW
ithin
Gro
ups
Tota
lB
etw
een
Gro
ups
With
in G
roup
sTo
tal
Bet
wee
n G
roup
sW
ithin
Gro
ups
Tota
l
JML_
MO
_T
SU
HU
_TA
H
PH
_TA
HU
Sum
of
Squ
ares
dfM
ean
Squ
are
FS
ig.
P
ost H
oc T
ests
H
omog
eneo
us S
ubse
ts
JML_
MO
_T
Dun
cana
305,
3578
330
6,56
409
308,
2856
31,
000
1,00
01,
000
JAM
_KE
0 4 8 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
SU
HU
_TA
H
Dun
cana
3029
,218
3036
,222
3057
,340
1,00
01,
000
1,00
0
JAM
_KE
8 4 0 Sig
.
N1
23
Sub
set f
or a
lpha
= .0
5
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
P
H_T
AH
U
Dun
cana
305,
6116
730
5,63
000
305,
7653
3,5
121,
000
JAM
_KE
4 0 8 Sig
.
N1
2S
ubse
t for
alp
ha =
.05
Mea
ns fo
r gro
ups
in h
omog
eneo
us s
ubse
ts a
re d
ispl
ayed
.U
ses
Har
mon
ic M
ean
Sam
ple
Siz
e =
30,0
00.
a.
1.1.
3 W
arte
g S
inar
Sel
atan
•
Ken
tang
D
escr
iptiv
es
305,
1955
4,5
3697
8,0
9803
84,
9950
35,
3960
54,
265
5,75
630
6,00
110
,541
002
,098
773
5,79
909
6,20
311
5,01
06,
927
307,
2750
7,6
9787
6,1
2741
47,
0144
87,
5356
66,
320
8,55
190
6,15
724
1,04
3639
,110
009
5,93
865
6,37
582
4,26
58,
551
3058
,725
1,11
41,2
034
58,3
0959
,141
57,1
60,5
3037
,891
2,77
82,5
072
36,8
5438
,929
34,2
43,7
3029
,752
,650
6,1
188
29,5
0929
,995
28,3
30,8
9042
,123
12,3
932
1,30
6439
,527
44,7
1928
,360
,530
5,53
887
,027
711
,005
059
5,52
852
5,54
921
5,50
05,
580
305,
6379
7,0
3152
6,0
0575
65,
6261
95,
6497
45,
600
5,69
130
5,74
677
,027
528
,005
026
5,73
649
5,75
705
5,70
05,
781
905,
6412
0,0
9006
1,0
0949
35,
6223
45,
6600
65,
500
5,78
1
0 4 8 Tota
l0 4 8 To
tal
0 4 8 Tota
l
Jum
lah_
MO
[Ken
tang
]
Suh
u [K
enta
ng]
pH [K
enta
ng]
NM
ean
Std
. Dev
iatio
nS
td. E
rror
Low
er B
ound
Upp
er B
ound
95%
Con
fiden
ce In
terv
al fo
rM
ean
Min
imum
Max
imum
AN
OV
A
65,9
632
32,9
8292
,640
,000
30,9
7487
,356
96,9
3789
1339
7,48
62
6698
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2141
,828
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272,
100
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128
1366
9,58
589
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2,3
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6,25
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7387
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,722
89
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Tota
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With
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tal
Bet
wee
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ithin
Gro
ups
Tota
l
Jum
lah_
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[Ken
tang
]
Suh
u [K
enta
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pH [K
enta
ng]
Sum
of
Squ
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dfM
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Squ
are
FS
ig.
P
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Sam
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Siz
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pH
[Ken
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Dun
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305,
5388
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5,63
797
305,
7467
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000
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_KE
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305,
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85,
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6,63
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6,84
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904
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6,52
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7,15
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5,30
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483
307,
9729
3,8
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7,1
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57,
6741
88,
2716
96,
315
8,77
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6,82
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1,22
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6,56
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7,07
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4,35
58,
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3057
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8,1
672
57,6
1258
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56,3
59,4
3036
,922
1,62
82,2
973
36,3
1437
,530
34,4
39,9
3029
,231
1,28
09,2
339
28,7
5329
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27,0
31,5
9041
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12,2
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1,29
4138
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43,9
4127
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5,50
850
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5,48
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5,53
576
5,40
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305,
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7,1
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5,0
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15,
5880
85,
6716
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400
5,91
030
5,74
740
,064
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729
5,72
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5,77
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5,63
05,
900
905,
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9,1
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55,
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65,
6557
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400
5,91
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0 4 8 Tota
l0 4 8 To
tal
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JML_
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SU
HU
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H
PH
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NM
ean
Std
. Dev
iatio
nS
td. E
rror
Low
er B
ound
Upp
er B
ound
95%
Con
fiden
ce In
terv
al fo
rM
ean
Min
imum
Max
imum
AN
OV
A
81,2
422
40,6
2168
,289
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51,7
5187
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132,
993
8913
265,
072
266
32,5
3638
78,2
20,0
0014
8,78
787
1,71
013
413,
860
89,8
562
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58,4
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00,6
3787
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1,49
489
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6,54
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6,39
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6,69
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307,
7779
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5,55
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5,76
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6709
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500
5,77
3
0 4 8 Tota
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tal
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l
Jum
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Suh
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enta
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pH [K
enta
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NM
ean
Std
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iatio
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td. E
rror
Low
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Upp
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95%
Con
fiden
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Min
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AN
OV
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92,4
482
46,2
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5,82
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Suh
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Sum
of
Squ
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Dun
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305,
5433
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5,54
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720
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55,
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500
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Std
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Con
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Min
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Max
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AN
OV
A
118,
634
259
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120,
800
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42,7
2087
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161,
354
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730,
661
263
65,3
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56,0
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7,63
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2,61
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298
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295
21,
147
45,5
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189
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254,
484
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Sum
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Lampiran 2. Hasil Analisa Regresi 2.1 Pengaruh Suhu terhadap Jumlah Bakteri 2.1.1 Pengaruh Suhu terhadap Jumlah Bakteri pada Warteg MM
• Tumis Kentang
Model Summaryb
,777a ,603 ,599 ,954826Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), Suhu kentanga.
Dependent Variable: Jumlah MO Kentangb.
Coefficientsa
11,697 ,352 33,191 ,000-,095 ,008 -,777 -11,566 ,000
(Constant)Suhu kentang
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Jumlah MO Kentanga.
• Sayur Tahu
Model Summaryb
,821a ,674 ,671 ,896686Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), Suhu tahua.
Dependent Variable: Jumlah MO Tahub.
Coefficientsa
12,621 ,342 36,884 ,000-,105 ,008 -,821 -13,499 ,000
(Constant)Suhu tahu
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Jumlah MO Tahua.
2.1.2 Pengaruh Suhu terhadap Jumlah Bakteri pada Warteg Sederhana 22
• Tumis Kentang
Model Summaryb
,729a ,532 ,526 ,733889Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), Suhu [Kentang]a.
Dependent Variable: Jumlah_MO [Kentang]b.
Coefficientsa
9,323 ,249 37,396 ,000-,059 ,006 -,729 -9,993 ,000
(Constant)Suhu [Kentang]
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Jumlah_MO [Kentang]a.
• Sayur Tahu
Model Summaryb
,789a ,622 ,618 ,869818Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), SUHU_TAHa.
Dependent Variable: JML_MO_Tb.
Coefficientsa
10,459 ,323 32,411 ,000-,091 ,008 -,789 -12,033 ,000
(Constant)SUHU_TAH
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: JML_MO_Ta.
2.1.3 Pengaruh Suhu terhadap Jumlah Bakteri pada Warteg Sinar Selatan
• Tumis Kentang
Model Summaryb
,761a ,579 ,574 ,680838Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), Suhu [Kentang]a.
Dependent Variable: Jumlah_MO [Kentang]b.
Coefficientsa
8,857 ,256 34,654 ,000-,064 ,006 -,761 -11,006 ,000
(Constant)Suhu [Kentang]
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Jumlah_MO [Kentang]a.
• Sayur Tahu
Model Summaryb
,773a ,598 ,593 ,779621Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), SUHU_TAHa.
Dependent Variable: JML_MO_Tb.
Coefficientsa
10,005 ,290 34,459 ,000-,077 ,007 -,773 -11,437 ,000
(Constant)SUHU_TAH
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: JML_MO_Ta.
2.1.4 Pengaruh Suhu terhadap Jumlah Bakteri pada Warteg Sederhana 7 • Tumis Kentang
Model Summaryb
,885a ,783 ,781 ,509262Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), Suhu [Kentang]a.
Dependent Variable: Jumlah_MOb.
Coefficientsa
9,641 ,182 52,920 ,000-,075 ,004 -,885 -17,820 ,000
(Constant)Suhu [Kentang]
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Jumlah_MOa.
• Sayur Tahu
Model Summaryb
,828a ,686 ,682 ,759226Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), SUHU_TAHa.
Dependent Variable: JML_MO_Tb.
Coefficientsa
10,383 ,285 36,414 ,000-,092 ,007 -,828 -13,854 ,000
(Constant)SUHU_TAH
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: JML_MO_Ta.
2.2 Pengaruh waktu Terhadap Suhu 2.2.1 Pengaruh Waktu terhadap Suhu pada Warteg MM
• Tumis Kentang
Model Summaryb
,945a ,893 ,892 4,039545Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), JAM_KEa.
Dependent Variable: Suhu kentangb.
Coefficientsa
55,170 ,673 81,945 ,000-3,537 ,130 -,945 -27,132 ,000
(Constant)JAM_KE
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Suhu kentanga.
• Sayur Tahu
Model Summaryb
,956a ,914 ,913 3,586645Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), JAM_KEa.
Dependent Variable: Suhu tahub.
Coefficientsa
56,312 ,598 94,203 ,000-3,545 ,116 -,956 -30,624 ,000
(Constant)JAM_KE
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Suhu tahua.
2.2.2 Pengaruh Waktu terhadap Suhu pada Warteg Sederhana 22
• Tumis Kentang
Model Summaryb
,916a ,839 ,838 5,3313Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), JAM_KEa.
Dependent Variable: Suhu [Kentang]b.
Coefficientsa
55,073 ,889 61,980 ,000-3,691 ,172 -,916 -21,451 ,000
(Constant)JAM_KE
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Suhu [Kentang]a.
• Sayur Tahu
Model Summaryb
,947a ,896 ,895 3,9543Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), JAM_KEa.
Dependent Variable: SUHU_TAHb.
Coefficientsa
54,988 ,659 83,435 ,000-3,515 ,128 -,947 -27,544 ,000
(Constant)JAM_KE
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: SUHU_TAHa.
2.2.3 Pengaruh Waktu terhadap Suhu pada Warteg Sinar Selatan
• Tumis Kentang
Model Summaryb
,960a ,921 ,920 3,4999Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), JAM_KEa.
Dependent Variable: Suhu [Kentang]b.
Coefficientsa
56,610 ,583 97,047 ,000-3,622 ,113 -,960 -32,061 ,000
(Constant)JAM_KE
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Suhu [Kentang]a.
• Sayur Tahu
Model Summaryb
,961a ,923 ,922 3,4356Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), JAM_KEa.
Dependent Variable: SUHU_TAHb.
Coefficientsa
55,731 ,573 97,329 ,000-3,590 ,111 -,961 -32,380 ,000
(Constant)JAM_KE
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: SUHU_TAHa.
2.2.4 Pengaruh Waktu terhadap Suhu pada Warteg Sederhana 7
• Tumis Kentang
Model Summaryb
,945a ,893 ,892 4,2021Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), JAM_KEa.
Dependent Variable: Suhu [Kentang]b.
Coefficientsa
55,840 ,700 79,730 ,000-3,671 ,136 -,945 -27,071 ,000
(Constant)JAM_KE
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: Suhu [Kentang]a.
• Sayur Tahu
Model Summaryb
,955a ,913 ,912 3,5817Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), JAM_KEa.
Dependent Variable: SUHU_TAHb.
Coefficientsa
55,076 ,597 92,262 ,000-3,510 ,116 -,955 -30,366 ,000
(Constant)JAM_KE
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: SUHU_TAHa.