(ρy3) = 0.107 so that the model needs to be fixed by
removing X3 from the model which is commonly
called as trimming.
Trimming model is a model that is used to fix a
path analysis structure by removing the exogenous
variables of the model which the path coefficient is
insignificant. The result of trimming makes the
result of the third structural change.
For the final result of the structural 3 calculation
after trimming can be seen in Table 5 below:
Table 5: Result Summary of Structural Test 3 after
Trimming.
Direct
Effect
Inter
Variabl
es
The next step is testing the model compatibility
with the sample size (n) = 30, and the number of
path coefficient which is not significant (d) = 1, then
the chi-square statistic test with W = - (n-d) ln Q = -
(30-1) in (1.000313) = 0.009, from chi square table
with df = d = 1, at a significance level of α = 0.05
obtained tab = (0,05;1) = 3,84.
Because W = 0.009 < 3.84, then H0 is accepted.
Thus, the model obtained is appropriate or suitable
(model fit) with the data.
Based on the results of data processing research,
can be described model of constellation path
analysis (the causal model between variables X1,
X2, and X3 to Y). As for the image of the
constellation path analysis model can be seen in the
picture below:
Figures 1: Causal Models of Variable X1, X2, X3 to Y.
Based on the above explanation and previously-
related research result, Irene M.J. Van Fels, Sanne
C.M te Wierike, et al about the relationship between
motor skill and cognitive skills in 4 – 16 years old
typically developing children. The result of this
review are interesting in the contex of training
programs focusing of optimizing motor and/or
cognitive skills in children, as it would support the
concept that intervention in one domain (motor or
cognitive skill). Complex motor skills, coordination
of movement in rhytm, and sequenced movements
should be included in motor intervention programs
to improve higer order cognitive skills or vice versa
(Magill, 2011).
The results of data processing and analysis in my
research, the conclusions of this study are as
follows: (1) Intelligence directly affects the
coordination of pencak silat kick and punch, (2)
Eye-hand-leg coordination directly affects the
coordination of pencak silat kick and punch, (3)
Balance does not directly affect the coordination of
pencak silat kick and punch, (4) Intelligence directly
affects the balance (Haqiyah, 2016), (5) Eye-hand-
leg coordination directly effects the balance, (6)
Intelligence directly affects the eye-hand-leg
coordination.
4 CONCLUSIONS
Based on the results of data processing and analysis,
the conclusions of this study about pencak silat kick
and punch coordination, intelligence and eye-hand-
leg coordination directly affects the coordination of
pencak silat kick and punch, while balance does not
directly effect the coordination of pencak silat kick
and punch. Intelligence and eye-hand-leg
coordination directly effects on intervening variables
(balance) and intelligence directly affects the eye-
hand-leg coordination.
Some suggestions to be given with respect to the
results of this study are for lecturers, coaches,
trainers, and physical education teachers, the results
of this study can be used as a reference and
information in the search for talented pencak silat
athletes on the match category based on the level of
intelligence and good physical condition.
REFERENCES
Bompa, T. O., Buzzichelli, C. 1999. Periodization-: theory
and methodology of training. Human kinetics.
Abidin, D. 2015. Keterampilan Smes Bola Voli (Studi
Eksperimen Efektivitas Metode Latihan Beban Dengan
Pemulihan Aktif Dan Pasif Dan Koordinasi Mata-
Tangan dan Kaki Terhadap Keterampilan Smes Bola
Voli Pada Mahasiswa Penjaskesrek UNISMA
BEKASI), Disertasi PPS UNJ.
Edwards, H. W. 2011. Motor Learning and Control: Form
Theory to Practice. USA: Wadsworth.
Contribution of Intelligence and Physical Condition on the Punch and Kick Pencak Silat
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