The document analyzes characteristics of households that do and do not utilize tourism activities in Citepus Village using SPSS discriminant analysis. It finds that total property (TP) and age (UMUR) best discriminate between the two groups, with households that utilize tourism activities having higher property values and being younger on average. The analysis correctly classified 78.8% of households into their original groups based on these two characteristics.

1. 188
Lampiran 16. Output Software Program SPSS Analisis Diskriminan Karakteristik
Kelompok Rumah Tangga/Keluarga Pemanfaat dan Non Pemanfaat
Kegiatan Pariwisata di Desa Citepus Kecamatan Palabuhanratu.
Group Statistics
PNP
1.00
Std.
Deviation
Mean
TP
Valid N (listwise)
Unweighted Weighted
4.7013E6
3.95997E6
40
40.000
UMUR
42.9000
9.42664
40
40.000
PDDKN
3.2000
.79097
40
40.000
JAK
4.5000
1.41421
40
40.000
PPB
3.4663E6
2.00 TP
1.1100E6
UMUR
47.6250
PDDKN
2.5500
JAK
4.9750
PPB
832500.0000
Total TP
2.9056E6
UMUR
45.2625
PDDKN
2.8750
JAK
4.7375
PPB
2.1494E6
3.05437E6
4.36066E5
10.10886
.81492
1.25038
4.19027E5
3.33172E6
9.99841
.86236
1.34770
2.53935E6
40
40
40
40
40
40
80
80
80
80
80
40.000
40.000
40.000
40.000
40.000
40.000
80.000
80.000
80.000
80.000
80.000
Tests of Equality of Group Means
Wilks'
Lambda
TP
UMUR
PDDKN
JAK
PPB
F
.706
.943
.856
.969
.728
df1
32.504
4.674
13.103
2.533
29.192
df2
1
1
1
1
1
Canonical Discriminant
Function Coefficients
Function
1
TP
UMUR
(Constant)
.000
-.051
1.317
Sig.
78
78
78
78
78
.000
.034
.001
.116
.000

2. 189
Canonical Discriminant
Function Coefficients
Function
1
TP
UMUR
(Constant)
Unstandardized
coefficients
.000
-.051
1.317
Wilks' Lambda
Test of
Function(s)
1
Wilks'
Lambda
Chi-square
.646
33.675
df
Sig.
2
.000
Eigenvalues
Functi
on
Eigenvalue
% of
Variance
Canonical
Cumulative % Correlation
1
.549a
100.0
100.0
.595
a. First 1 canonical discriminant functions were used in the
analysis.
Standardized
Canonical
Discriminant
Function
Coefficients
Function
1
TP
UMUR
.959
-.498
Structure Matrix
Function
1
TP
PPBa
UMUR
PDDKNa
JAKa
.872
.860
-.331
.306
.096

3. 190
Pooled within-groups
correlations between
discriminating
variables and
standardized canonical
discriminant functions
Variables ordered by
absolute size of
correlation within
function.
a. This variable not
used in the analysis.
Classification Resultsa
Predicted Group
Membership
PNP
Original
1.00
2.00
Total
Count 1.00
29
11
40
2.00
6
34
40
1.00
72.5
27.5
100.0
2.00
15.0
85.0
100.0
%
a. 78.8% of original grouped cases correctly classified.
Functions at Group
Centroids
Function
PNP
1
1.00
.731
2.00
-.731
Unstandardized
canonical
discriminant
functions evaluated
at group means

4. 191
Variables Entered/Removeda,b,c,d
Wilks' Lambda
Exact F
Step
Entered
Statistic df1 df2
df3
Statistic df1
df2
Sig.
1
TP
.706 1
1 78.000
32.504
1 78.000 .000
2
UMUR
.646 2
1 78.000
21.120
2 77.000 .000
At each step, the variable that minimizes the overall Wilks' Lambda is entered.
a. Maximum number of steps is 10.
b. Maximum significance of F to enter is .05.
c. Minimum significance of F to remove is .10.
d. F level, tolerance, or VIN insufficient for further computation.
Variables in the Analysis
Step
1
2
Tolerance
TP
TP
UMUR
Sig. of F to
Remove
1.000
.969
.969
Wilks'
Lambda
.000
.000
.009
.943
.706
Variables Not in the Analysis
Step
0
Tolerance
Min.
Tolerance
Sig. of F to
Enter
Wilks'
Lambda
1.000
.000
.706
1.000
1.000
.034
.943
PDDKN
1.000
1.000
.001
.856
JAK
2
1.000
UMUR
1
TP
1.000
1.000
.116
.969
PPB
UMUR
PDDKN
JAK
PPB
PDDKN
JAK
PPB
1.000
.969
.987
.940
.087
.808
.881
.084
1.000
.969
.987
.940
.087
.794
.881
.083
.000
.009
.015
.012
.902
.158
.065
.540
.728
.646
.653
.650
.706
.629
.617
.643