|
MESIN
SPINNING
|
MESIN
WINDING
|
|
5000
|
4800
|
|
5500
|
5000
|
|
5200
|
4900
|
|
5100
|
5000
|
|
5000
|
4900
|
- EXPLORE PRODUKSI BENANG
DATA INPUT PRODUKSI BENANG
Explore
mesin
|
Case Processing Summary
|
|||||||
|
|
mesin
|
Cases
|
|||||
|
|
Valid
|
Missing
|
Total
|
||||
|
|
N
|
Percent
|
N
|
Percent
|
N
|
Percent
|
|
|
produksi
|
spinning
|
5
|
100.0%
|
0
|
.0%
|
5
|
100.0%
|
|
winding
|
5
|
100.0%
|
0
|
.0%
|
5
|
100.0%
|
|
|
Descriptives
|
|||||
|
|
mesin
|
Statistic
|
Std. Error
|
||
|
produksi
|
spinning
|
Mean
|
5160.00
|
92.736
|
|
|
95%
Confidence Interval for Mean
|
Lower
Bound
|
4902.52
|
|
||
|
Upper
Bound
|
5417.48
|
|
|||
|
5%
Trimmed Mean
|
5150.00
|
|
|||
|
Median
|
5100.00
|
|
|||
|
Variance
|
43000.000
|
|
|||
|
Std.
Deviation
|
207.364
|
|
|||
|
Minimum
|
5000
|
|
|||
|
Maximum
|
5500
|
|
|||
|
Range
|
500
|
|
|||
|
Interquartile
Range
|
350
|
|
|||
|
Skewness
|
1.447
|
.913
|
|||
|
Kurtosis
|
1.931
|
2.000
|
|||
|
winding
|
Mean
|
4920.00
|
37.417
|
||
|
95%
Confidence Interval for Mean
|
Lower
Bound
|
4816.11
|
|
||
|
Upper
Bound
|
5023.89
|
|
|||
|
5%
Trimmed Mean
|
4922.22
|
|
|||
|
Median
|
4900.00
|
|
|||
|
Variance
|
7000.000
|
|
|||
|
Std.
Deviation
|
83.666
|
|
|||
|
Minimum
|
4800
|
|
|||
|
Maximum
|
5000
|
|
|||
|
Range
|
200
|
|
|||
|
Interquartile
Range
|
150
|
|
|||
|
Skewness
|
-.512
|
.913
|
|||
|
Kurtosis
|
-.612
|
2.000
|
|||
|
M-Estimators
|
|||||
|
|
mesin
|
Huber's M-Estimatora
|
Tukey's Biweightb
|
Hampel's M-Estimatorc
|
Andrews' Waved
|
|
produksi
|
spinning
|
5107.82
|
5083.79
|
5111.43
|
5081.47
|
|
winding
|
4920.00
|
4919.25
|
4920.00
|
4919.24
|
|
|
a.
The weighting constant is 1,339.
|
|||||
|
b.
The weighting constant is 4,685.
|
|||||
|
c.
The weighting constants are 1,700, 3,400, and 8,500
|
|||||
|
d. The
weighting constant is 1,340*pi.
|
|||||
|
Extreme Valuesb
|
|||||
|
|
mesin
|
Case Number
|
Value
|
||
|
produksi
|
spinning
|
Highest
|
1
|
3
|
5500
|
|
2
|
5
|
5200
|
|||
|
Lowest
|
1
|
9
|
5000
|
||
|
2
|
1
|
5000
|
|||
|
winding
|
Highest
|
1
|
4
|
5000
|
|
|
2
|
8
|
5000
|
|||
|
Lowest
|
1
|
2
|
4800
|
||
|
2
|
10
|
4900a
|
|||
|
a.
Only a partial list of cases with the value 4900 are shown in the table of
lower extremes.
|
|||||
|
b. The
requested number of extreme values exceeds the number of data points. A
smaller number of extremes is displayed.
|
|||||
Stem-and-Leaf
Plots
produksi
Stem-and-Leaf Plot for
mesin= spinning
Frequency
Stem & Leaf
4,00
5 . 0012
1,00
5 . 5
Stem width: 1000
Each leaf: 1 case(s)
produksi
Stem-and-Leaf Plot for
mesin= winding
Frequency
Stem & Leaf
1,00
48 . 0
2,00
49 . 00
2,00
50 . 00
Stem width: 100
Each leaf: 1 case(s)
- EXPLORE PENGUJIAN TARIK MULUR DAN UJI TAHAN LUNTUR WARNA
DATA INPUT
|
UJI TARIK DAN MULUR
|
UJI TAHAN LUNTUR DAN WARNA
|
|
27.14
|
4.4
|
|
30.84
|
4.4
|
|
27.34
|
4.4
|
|
29.14
|
4.4
|
|
28.14
|
5.4
|
|
26.34
|
4.4
|
|
29.54
|
5.4
|
|
29.14
|
5.4
|
EXPLORE
Kriteria_pengujian
|
Case
Processing Summary
|
|||||||
|
|
Kriteria_pengujian
|
Cases
|
|||||
|
|
Valid
|
Missing
|
Total
|
||||
|
|
N
|
Percent
|
N
|
Percent
|
N
|
Percent
|
|
|
Nilai
|
uji_tari_mulur
|
8
|
100.0%
|
0
|
.0%
|
8
|
100.0%
|
|
uji_tahan_lunturwarna
|
8
|
100.0%
|
0
|
.0%
|
8
|
100.0%
|
|
|
Descriptives
|
|||||
|
|
Kriteria_pengujian
|
Statistic
|
Std. Error
|
||
|
Nilai
|
uji_tari_mulur
|
Mean
|
28.3275
|
.50087
|
|
|
95% Confidence Interval for Mean
|
Lower Bound
|
27.1431
|
|
||
|
Upper Bound
|
29.5119
|
|
|||
|
5% Trimmed Mean
|
28.2983
|
|
|||
|
Median
|
28.3400
|
|
|||
|
Variance
|
2.007
|
|
|||
|
Std. Deviation
|
1.41667
|
|
|||
|
Minimum
|
26.34
|
|
|||
|
Maximum
|
30.84
|
|
|||
|
Range
|
4.50
|
|
|||
|
Interquartile Range
|
1.95
|
|
|||
|
Skewness
|
.432
|
.752
|
|||
|
Kurtosis
|
.145
|
1.481
|
|||
|
uji_tahan_lunturwarna
|
Mean
|
4.7750
|
.18298
|
||
|
95% Confidence Interval for Mean
|
Lower Bound
|
4.3423
|
|
||
|
Upper Bound
|
5.2077
|
|
|||
|
5% Trimmed Mean
|
4.7611
|
|
|||
|
Median
|
4.4000
|
|
|||
|
Variance
|
.268
|
|
|||
|
Std. Deviation
|
.51755
|
|
|||
|
Minimum
|
4.40
|
|
|||
|
Maximum
|
5.40
|
|
|||
|
Range
|
1.00
|
|
|||
|
Interquartile Range
|
1.00
|
|
|||
|
Skewness
|
.644
|
.752
|
|||
|
Kurtosis
|
-2.240
|
1.481
|
|||
|
M-Estimatorse
|
|||||
|
|
Kriteria_pengujian
|
Huber's
M-Estimatora
|
Tukey's
Biweightb
|
Hampel's
M-Estimatorc
|
Andrews'
Waved
|
|
Nilai
|
uji_tari_mulur
|
28.2553
|
28.2541
|
28.2587
|
28.2552
|
|
uji_tahan_lunturwarna
|
.
|
.
|
.
|
.
|
|
|
a. The weighting constant is 1.339.
|
|
|
|
||
|
b. The weighting constant is 4.685.
|
|
|
|
||
|
c. The weighting constants are 1.700,
3.400, and 8.500
|
|
|
|||
|
d. The weighting constant is 1.340*pi.
|
|
|
|
||
|
e. Some M-Estimators cannot be computed
because of the highly centralized distribution around the median.
|
|||||
|
Extreme
Valuesc
|
|||||
|
|
Kriteria_pengujian
|
Case Number
|
Value
|
||
|
Nilai
|
uji_tari_mulur
|
Highest
|
1
|
2
|
30.84
|
|
2
|
4
|
29.14
|
|||
|
3
|
8
|
29.14
|
|||
|
4
|
7
|
28.54
|
|||
|
Lowest
|
1
|
6
|
26.34
|
||
|
2
|
1
|
27.14
|
|||
|
3
|
3
|
27.34
|
|||
|
4
|
5
|
28.14
|
|||
|
uji_tahan_lunturwarna
|
Highest
|
1
|
13
|
5.40
|
|
|
2
|
15
|
5.40
|
|||
|
3
|
16
|
5.40
|
|||
|
4
|
9
|
4.40a
|
|||
|
Lowest
|
1
|
14
|
4.40
|
||
|
2
|
12
|
4.40
|
|||
|
3
|
11
|
4.40
|
|||
|
4
|
10
|
4.40b
|
|||
|
a. Only a partial list of cases with the
value 4.40 are shown in the table of upper extremes.
|
|||||
|
b. Only a partial list of cases with the
value 4.40 are shown in the table of lower extremes.
|
|||||
|
c. The requested number of extreme values
exceeds the number of data points. A smaller number of extremes is displayed.
|
|||||
- EXPLORE REPLIKASI DESAIN
DATA INPUT UJI REPLIKA DESAIN
|
REPLIKA DESAIN
1
|
REPLIKA DESAIN
2
|
REPLIKA DESAIN
3
|
REPLIKA DESAIN
4
|
|
27.14
|
28.54
|
26.54
|
27.49
|
|
30.84
|
28.49
|
27.34
|
23.40
|
|
27.34
|
25.40
|
27.74
|
25.49
|
|
29.14
|
25.40
|
28.64
|
25.49
|
|
28.14
|
28.40
|
26.14
|
27.34
|
|
29.49
|
27.34
|
25.40
|
25.34
|
|
28.40
|
27.34
|
25.40
|
27.74
|
|
29.40
|
27.34
|
25.40
|
25.34
|
Explore
Replika_desain
|
Case Processing Summary
|
|||||||
|
|
Replika_desain
|
Cases
|
|||||
|
|
Valid
|
Missing
|
Total
|
||||
|
|
N
|
Percent
|
N
|
Percent
|
N
|
Percent
|
|
|
Hasil
|
replika_desain1
|
8
|
100.0%
|
0
|
.0%
|
8
|
100.0%
|
|
replika_desain2
|
8
|
100.0%
|
0
|
.0%
|
8
|
100.0%
|
|
|
replika_desain3
|
8
|
100.0%
|
0
|
.0%
|
8
|
100.0%
|
|
|
replika_desain4
|
8
|
100.0%
|
0
|
.0%
|
8
|
100.0%
|
|
|
Descriptives
|
|||||
|
|
Replika_desain
|
Statistic
|
Std. Error
|
||
|
Hasil
|
replika_desain1
|
Mean
|
28.3612
|
.49850
|
|
|
95%
Confidence Interval for Mean
|
Lower
Bound
|
27.1825
|
|
||
|
Upper
Bound
|
29.5400
|
|
|||
|
5%
Trimmed Mean
|
28.3275
|
|
|||
|
Median
|
28.2700
|
|
|||
|
Variance
|
1.988
|
|
|||
|
Std.
Deviation
|
1.40997
|
|
|||
|
Minimum
|
26.49
|
|
|||
|
Maximum
|
30.84
|
|
|||
|
Range
|
4.35
|
|
|||
|
Interquartile
Range
|
2.14
|
|
|||
|
Skewness
|
.501
|
.752
|
|||
|
Kurtosis
|
-.141
|
1.481
|
|||
|
replika_desain2
|
Mean
|
27.2812
|
.45091
|
||
|
95%
Confidence Interval for Mean
|
Lower
Bound
|
26.2150
|
|
||
|
Upper
Bound
|
28.3475
|
|
|||
|
5%
Trimmed Mean
|
27.3158
|
|
|||
|
Median
|
27.3400
|
|
|||
|
Variance
|
1.627
|
|
|||
|
Std.
Deviation
|
1.27535
|
|
|||
|
Minimum
|
25.40
|
|
|||
|
Maximum
|
28.54
|
|
|||
|
Range
|
3.14
|
|
|||
|
Interquartile
Range
|
2.58
|
|
|||
|
Skewness
|
-.749
|
.752
|
|||
|
Kurtosis
|
-.849
|
1.481
|
|||
|
replika_desain3
|
Mean
|
26.5750
|
.43382
|
||
|
95%
Confidence Interval for Mean
|
Lower
Bound
|
25.5492
|
|
||
|
Upper
Bound
|
27.6008
|
|
|||
|
5%
Trimmed Mean
|
26.5256
|
|
|||
|
Median
|
26.3400
|
|
|||
|
Variance
|
1.506
|
|
|||
|
Std.
Deviation
|
1.22702
|
|
|||
|
Minimum
|
25.40
|
|
|||
|
Maximum
|
28.64
|
|
|||
|
Range
|
3.24
|
|
|||
|
Interquartile
Range
|
2.24
|
|
|||
|
Skewness
|
.607
|
.752
|
|||
|
Kurtosis
|
-.949
|
1.481
|
|||
|
replika_desain4
|
Mean
|
25.9538
|
.52060
|
||
|
95%
Confidence Interval for Mean
|
Lower
Bound
|
24.7227
|
|
||
|
Upper
Bound
|
27.1848
|
|
|||
|
5%
Trimmed Mean
|
25.9964
|
|
|||
|
Median
|
25.4900
|
|
|||
|
Variance
|
2.168
|
|
|||
|
Std.
Deviation
|
1.47249
|
|
|||
|
Minimum
|
23.40
|
|
|||
|
Maximum
|
27.74
|
|
|||
|
Range
|
4.34
|
|
|||
|
Interquartile
Range
|
2.11
|
|
|||
|
Skewness
|
-.318
|
.752
|
|||
|
Kurtosis
|
-.353
|
1.481
|
|||
|
M-Estimators
|
|||||
|
|
Replika_desain
|
Huber's M-Estimatora
|
Tukey's Biweightb
|
Hampel's M-Estimatorc
|
Andrews' Waved
|
|
Hasil
|
replika_desain1
|
28.2618
|
28.2617
|
28.2622
|
28.2625
|
|
replika_desain2
|
27.3999
|
27.3706
|
27.2963
|
27.3708
|
|
|
replika_desain3
|
26.4336
|
26.4375
|
26.5068
|
26.4379
|
|
|
replika_desain4
|
26.0402
|
25.9657
|
26.0732
|
25.9644
|
|
|
a.
The weighting constant is 1.339.
|
|
|
|
||
|
b.
The weighting constant is 4.685.
|
|
|
|
||
|
c. The
weighting constants are 1.700, 3.400, and 8.500
|
|
|
|||
|
d. The weighting
constant is 1.340*pi.
|
|
|
|||
|
Extreme Valuese
|
|||||
|
|
Replika_desain
|
Case Number
|
Value
|
||
|
Hasil
|
replika_desain1
|
Highest
|
1
|
2
|
30.84
|
|
2
|
8
|
29.40
|
|||
|
3
|
4
|
29.14
|
|||
|
4
|
7
|
28.40
|
|||
|
Lowest
|
1
|
6
|
26.49
|
||
|
2
|
1
|
27.14
|
|||
|
3
|
3
|
27.34
|
|||
|
4
|
5
|
28.14
|
|||
|
replika_desain2
|
Highest
|
1
|
9
|
28.54
|
|
|
2
|
10
|
28.49
|
|||
|
3
|
13
|
28.40
|
|||
|
4
|
14
|
27.34a
|
|||
|
Lowest
|
1
|
12
|
25.40
|
||
|
2
|
11
|
25.40
|
|||
|
3
|
16
|
27.34
|
|||
|
4
|
15
|
27.34b
|
|||
|
replika_desain3
|
Highest
|
1
|
20
|
28.64
|
|
|
2
|
19
|
27.74
|
|||
|
3
|
18
|
27.34
|
|||
|
4
|
17
|
26.54
|
|||
|
Lowest
|
1
|
24
|
25.40
|
||
|
2
|
23
|
25.40
|
|||
|
3
|
22
|
25.40
|
|||
|
4
|
21
|
26.14
|
|||
|
replika_desain4
|
Highest
|
1
|
31
|
27.74
|
|
|
2
|
25
|
27.49
|
|||
|
3
|
29
|
27.34
|
|||
|
4
|
27
|
25.49c
|
|||
|
Lowest
|
1
|
26
|
23.40
|
||
|
2
|
32
|
25.34
|
|||
|
3
|
30
|
25.34
|
|||
|
4
|
28
|
25.49d
|
|||
|
a.
Only a partial list of cases with the value 27.34 are shown in the table of upper
extremes.
|
|||||
|
b.
Only a partial list of cases with the value 27.34 are shown in the table of
lower extremes.
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c.
Only a partial list of cases with the value 25.49 are shown in the table of
upper extremes.
|
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d.
Only a partial list of cases with the value 25.49 are shown in the table of
lower extremes.
|
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|
e. The
requested number of extreme values exceeds the number of data points. A
smaller number of extremes is displayed.
|
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