CONCLUSIONS THE ANALYSIS OF FOREMAN PERFORMANCE ON QUALITY MANAGEMENT IMPLEMENTATION IN YOGYAKARTA CONSTRUCTION PROJECT.
CHAPTER V
CONCLUSIONS
Conclusions and recommendations of the research on this is "The Analysis
Of Forman Performance on Quality Management Implementation in Yogyakarta
Construction Project". Conclusion of the results of research conducted and
suggestions will be outlined as follows:
5.1. Conclusions
1. The results of the analysis of the description known to most respondents of
respondents (70.0%) to assess the ability of the indicator variable-foreman
who worked on construction projects in Yogyakarta, often.
2. The results of the OLS regression obtained R2 of 0.453means that the
dependent variable in a model that is performance-foreman who worked
on construction projects in Yogyakarta explained by the independent
variable is the variable education, experience, motivation, and discipline of
45.3%, while the rest of 54.7%is explained by other variables outside the
model
3. The results of multiple linear regression analysis produced a regression
equation is
Y = 0.549 + 0.701 X1 + 0.024 X2 + 0.115 X3 + 0.046 X4
demonstrate that education, experience, motivation, and discipline have a
significant influence on the ability of foreman who worked on construction
projects in Yogyakarta. This can be interpreted, if the education,
experience, motivation, and discipline increases, the ability of foreman
who worked on construction projects in Yogyakarta will also increase.
5.2. Suggestion
1. Management of construction projects in Yogyakarta more direct foreman
capabilities in ways to implement the planning, implementation,
Inspection, and quality assurance to the foreman who still lacking.
2. The results of multiple linear regression analysis showed that education,
experience, motivation, and discipline have a significant effect on the
ability of foreman who worked on construction projects in Yogyakarta.
3. Project management to consider the application of the "Punish & rewards"
to motivate more targeted to the foreman to achieve the quality as
expected
4. Project management in order to review the remuneration system that both
parties benefit equally
This can be interpreted, if the education, experience, motivation, and
discipline increases, the ability of foreman who worked on construction
projects in Yogyakarta will also increase.
REFRENCE
Barrie, D.S.1990. Manajemen konstruksi profesional, Edisi kedua, Penerbit
Erlangga, Jakarta.
Juran, J.M.1996. Merancang mutu, Buku ke 2 Ancangan Baru Mewujudkan Mutu
Kedalam Barang dan Jasa, PT Pustaka Binaman Pressindo, Jakarta.
Mitra, A.1993. Fundamental Of Quality Control And Improvement, Macmillan
Publishing Company, New york.
Project management institute. 2004. A Guide To The Project Management Body
Of Knowledge, Publishing by PMI, Pensylvania, USA.
Riduwan. 2004. Metode dan Teknik Menyusun Tesis, Penerbit Alfabeta, Bandung
Suardi, R. 2003. Sistem Manajemen Mutu ISO 9000:2000, Penerapannya Untuk
Mencapai TQM, Penerbit PPM, Jakarta.
Sukarata I Gede, Wayan Yansen, Gede Astawa Diputra.2008. Analisa Kinerja
Mandor Dalam Menerapkan Kualitas Manajemen Pada Proyek
pembangunan Nusa Dua Golf Resort Kawasan BTDC-Nusa Dua Bali.
Jurnal Ilmiah Teknik Sipil Vol.12, Bali
Lampiran 2 : Uji Validitas dan Reliabilitas
Correlations
Correlations
a1
a2
a3
a4
a5
a6
a7
a8
a1 Pearson Cor
1 ,457* ,281 ,000 ,566** ,335 ,265 ,181
Sig. (2-tailed
,011 ,133 1,000 ,001 ,070 ,156 ,339
N
30
30
30
30
30
30
30
30
a2 Pearson Cor ,457*
1 ,299 -,175 ,709**-,073 -,041 -,114
Sig. (2-tailed ,011
,109 ,354 ,000 ,702 ,831 ,549
N
30
30
30
30
30
30
30
30
a3 Pearson Cor ,281 ,299
1 -,024 ,269 -,130 ,287 -,077
Sig. (2-tailed ,133 ,109
,901 ,151 ,492 ,123 ,685
N
30
30
30
30
30
30
30
30
a4 Pearson Cor ,000 -,175 -,024
1 -,298 ,441* ,616** ,694**
Sig. (2-tailed1,000 ,354 ,901
,110 ,015 ,000 ,000
N
30
30
30
30
30
30
30
30
a5 Pearson Cor ,566** ,709** ,269 -,298
1 ,244 ,207 ,048
Sig. (2-tailed ,001 ,000 ,151 ,110
,194 ,272 ,799
N
30
30
30
30
30
30
30
30
a6 Pearson Cor ,335 -,073 -,130 ,441* ,244
1 ,772** ,653**
Sig. (2-tailed ,070 ,702 ,492 ,015 ,194
,000 ,000
N
30
30
30
30
30
30
30
30
a7 Pearson Cor ,265 -,041 ,287 ,616** ,207 ,772**
1 ,672**
Sig. (2-tailed ,156 ,831 ,123 ,000 ,272 ,000
,000
N
30
30
30
30
30
30
30
30
a8 Pearson Cor ,181 -,114 -,077 ,694** ,048 ,653** ,672**
1
Sig. (2-tailed ,339 ,549 ,685 ,000 ,799 ,000 ,000
N
30
30
30
30
30
30
30
30
a9 Pearson Cor ,438* ,466** ,457* ,129 ,721** ,169 ,331 ,176
Sig. (2-tailed ,015 ,009 ,011 ,496 ,000 ,372 ,074 ,353
N
30
30
30
30
30
30
30
30
a10 Pearson Cor ,502** ,729** ,289 -,269 ,609**-,072 -,057 -,005
Sig. (2-tailed ,005 ,000 ,121 ,151 ,000 ,705 ,764 ,980
N
30
30
30
30
30
30
30
30
a11 Pearson Cor ,667** ,537** ,089 -,445* ,728** ,263 ,066 ,105
Sig. (2-tailed ,000 ,002 ,641 ,014 ,000 ,160 ,727 ,582
N
30
30
30
30
30
30
30
30
a12 Pearson Cor ,527** ,472** ,631** ,211 ,383* ,227 ,405* -,045
Sig. (2-tailed ,003 ,009 ,000 ,262 ,036 ,228 ,027 ,813
N
30
30
30
30
30
30
30
30
a13 Pearson Cor ,402* ,421* ,486**-,323 ,518** ,203 ,174 -,204
Sig. (2-tailed ,028 ,021 ,007 ,082 ,003 ,281 ,357 ,280
N
30
30
30
30
30
30
30
30
a14 Pearson Cor ,328 -,176 ,180 ,543** ,000 ,490** ,599** ,853**
Sig. (2-tailed ,077 ,352 ,341 ,002 1,000 ,006 ,000 ,000
N
30
30
30
30
30
30
30
30
a15 Pearson Cor ,339 ,449* ,063 -,283 ,542** ,204 ,000 ,006
Sig. (2-tailed ,067 ,013 ,741 ,130 ,002 ,279 1,000 ,976
N
30
30
30
30
30
30
30
30
a16 Pearson Cor ,528** ,462* ,033 -,301 ,667** ,323 ,007 ,057
Sig. (2-tailed ,003 ,010 ,862 ,106 ,000 ,082 ,970 ,765
N
30
30
30
30
30
30
30
30
a17 Pearson Cor ,279 ,231 ,426* -,043 ,280 ,160 ,354 ,172
Sig. (2-tailed ,135 ,220 ,019 ,823 ,133 ,397 ,055 ,364
N
30
30
30
30
30
30
30
30
a18 Pearson Cor ,143 -,150 -,063 ,819**-,015 ,603** ,670** ,904**
Sig. (2-tailed ,451 ,429 ,743 ,000 ,938 ,000 ,000 ,000
N
30
30
30
30
30
30
30
30
a19 Pearson Cor ,379* ,214 ,205 ,759** ,021 ,317 ,500** ,730**
Sig. (2-tailed ,039 ,257 ,277 ,000 ,912 ,088 ,005 ,000
N
30
30
30
30
30
30
30
30
a20 Pearson Cor ,582** ,371* ,247 ,612** ,397* ,458* ,549** ,532**
Sig. (2-tailed ,001 ,044 ,189 ,000 ,030 ,011 ,002 ,002
N
30
30
30
30
30
30
30
30
AQMPearson Cor ,630** ,416* ,377* ,468** ,560** ,668** ,750** ,682**
Sig. (2-tailed ,000 ,022 ,040 ,009 ,001 ,000 ,000 ,000
N
30
30
30
30
30
30
30
30
*.Correlation is significant at the 0.05 level (2-tailed).
**.Correlation is significant at the 0.01 level (2-tailed).
a9
a10 a11 a12 a13 a14 a15 a16 a17 a18 a19 a20 AQM
,438* ,502** ,667** ,527** ,402* ,328 ,339 ,528** ,279 ,143 ,379* ,582** ,630**
,015 ,005 ,000 ,003 ,028 ,077 ,067 ,003 ,135 ,451 ,039 ,001 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,466** ,729** ,537** ,472** ,421* -,176 ,449* ,462* ,231 -,150 ,214 ,371* ,416*
,009 ,000 ,002 ,009 ,021 ,352 ,013 ,010 ,220 ,429 ,257 ,044 ,022
30
30
30
30
30
30
30
30
30
30
30
30
30
,457* ,289 ,089 ,631** ,486** ,180 ,063 ,033 ,426* -,063 ,205 ,247 ,377*
,011 ,121 ,641 ,000 ,007 ,341 ,741 ,862 ,019 ,743 ,277 ,189 ,040
30
30
30
30
30
30
30
30
30
30
30
30
30
,129 -,269 -,445* ,211 -,323 ,543**-,283 -,301 -,043 ,819** ,759** ,612** ,468**
,496 ,151 ,014 ,262 ,082 ,002 ,130 ,106 ,823 ,000 ,000 ,000 ,009
30
30
30
30
30
30
30
30
30
30
30
30
30
,721** ,609** ,728** ,383* ,518** ,000 ,542** ,667** ,280 -,015 ,021 ,397* ,560**
,000 ,000 ,000 ,036 ,003 1,000 ,002 ,000 ,133 ,938 ,912 ,030 ,001
30
30
30
30
30
30
30
30
30
30
30
30
30
,169 -,072 ,263 ,227 ,203 ,490** ,204 ,323 ,160 ,603** ,317 ,458* ,668**
,372 ,705 ,160 ,228 ,281 ,006 ,279 ,082 ,397 ,000 ,088 ,011 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,331 -,057 ,066 ,405* ,174 ,599** ,000 ,007 ,354 ,670** ,500** ,549** ,750**
,074 ,764 ,727 ,027 ,357 ,000 1,000 ,970 ,055 ,000 ,005 ,002 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,176 -,005 ,105 -,045 -,204 ,853** ,006 ,057 ,172 ,904** ,730** ,532** ,682**
,353 ,980 ,582 ,813 ,280 ,000 ,976 ,765 ,364 ,000 ,000 ,002 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
1 ,452* ,254 ,547** ,276 ,281 ,352 ,484** ,251 ,284 ,230 ,611** ,636**
,012 ,176 ,002 ,140 ,133 ,057 ,007 ,181 ,128 ,222 ,000 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,452*
1 ,707** ,441* ,358 ,165 ,579** ,684** ,340 -,133 ,190 ,292 ,472**
,012
,000 ,015 ,052 ,384 ,001 ,000 ,066 ,482 ,314 ,117 ,009
30
30
30
30
30
30
30
30
30
30
30
30
30
,254 ,707**
1 ,176 ,526** ,185 ,610** ,792** ,385* -,143 -,015 ,145 ,471**
,176 ,000
,353 ,003 ,329 ,000 ,000 ,035 ,451 ,939 ,443 ,009
30
30
30
30
30
30
30
30
30
30
30
30
30
,547** ,441* ,176
1 ,514** ,097 ,064 ,329 ,315 ,048 ,276 ,690** ,580**
,002 ,015 ,353
,004 ,609 ,736 ,075 ,090 ,799 ,139 ,000 ,001
30
30
30
30
30
30
30
30
30
30
30
30
30
,276 ,358 ,526** ,514**
1 -,103 ,377* ,487** ,563**-,262 -,174 ,122 ,383*
,140 ,052 ,003 ,004
,589 ,040 ,006 ,001 ,162 ,357 ,522 ,037
30
30
30
30
30
30
30
30
30
30
30
30
30
,281 ,165 ,185 ,097 -,103
1 ,075 ,185 ,353 ,747** ,629** ,463** ,686**
,133 ,384 ,329 ,609 ,589
,693 ,329 ,055 ,000 ,000 ,010 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,352 ,579** ,610** ,064 ,377* ,075
1 ,711** ,138 -,125 ,018 -,067 ,370*
,057 ,001 ,000 ,736 ,040 ,693
,000 ,468 ,512 ,926 ,727 ,044
30
30
30
30
30
30
30
30
30
30
30
30
30
,484** ,684** ,792** ,329 ,487** ,185 ,711**
1 ,269 -,092 -,087 ,259 ,496**
,007 ,000 ,000 ,075 ,006 ,329 ,000
,150 ,629 ,646 ,167 ,005
30
30
30
30
30
30
30
30
30
30
30
30
30
,251 ,340 ,385* ,315 ,563** ,353 ,138 ,269
1 ,056 ,077 ,170 ,484**
,181 ,066 ,035 ,090 ,001 ,055 ,468 ,150
,768 ,687 ,370 ,007
30
30
30
30
30
30
30
30
30
30
30
30
30
,284 -,133 -,143 ,048 -,262 ,747**-,125 -,092 ,056
1 ,745** ,622** ,632**
,128 ,482 ,451 ,799 ,162 ,000 ,512 ,629 ,768
,000 ,000 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,230 ,190 -,015 ,276 -,174 ,629** ,018 -,087 ,077 ,745**
1 ,686** ,659**
,222 ,314 ,939 ,139 ,357 ,000 ,926 ,646 ,687 ,000
,000 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,611** ,292 ,145 ,690** ,122 ,463**-,067 ,259 ,170 ,622** ,686**
1 ,780**
,000 ,117 ,443 ,000 ,522 ,010 ,727 ,167 ,370 ,000 ,000
,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,636** ,472** ,471** ,580** ,383* ,686** ,370* ,496** ,484** ,632** ,659** ,780**
1
,000 ,009 ,009 ,001 ,037 ,000 ,044 ,005 ,007 ,000 ,000 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
Reliability
Case Processing Summary
N
Cases
Valid
Excludeda
Total
%
100,0
,0
100,0
30
0
30
a. Listwise deletion based on all
variables in the procedure.
Reliability Statistics
Cronbach's
Alpha
,870
N of Items
20
Correlations
Correlations
o1
o1
o2
o3
Op
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
1
30
,915**
,000
30
,490**
,006
30
,891**
,000
30
o2
,915**
,000
30
1
30
,536**
,002
30
,913**
,000
30
**. Correlation is significant at the 0.01 level (2-tailed).
o3
,490**
,006
30
,536**
,002
30
1
30
,813**
,000
30
Op
,891**
,000
30
,913**
,000
30
,813**
,000
30
1
30
Reliability
Case Processing Summary
N
Cases
Valid
Excludeda
Total
30
0
30
a. Listwise deletion based on all
variables in the procedure.
Reliability Statistics
Cronbach's
Alpha
,824
N of Items
3
%
100,0
,0
100,0
Lampiran 3 : Frekuensi Karakteristik Responden
Frequencies
Umur
Valid
< 30 years/tahun
30-35 years/tahun
35-40 years/tahun
> 40 years/tahun
Total
Frequency
2
18
4
6
30
Percent
6,7
60,0
13,3
20,0
100,0
Valid Percent
6,7
60,0
13,3
20,0
100,0
Cumulative
Percent
6,7
66,7
80,0
100,0
Pddkn
Valid
SLTA
SMP
Total
Frequency
17
13
30
Percent
56,7
43,3
100,0
Valid Percent
56,7
43,3
100,0
Cumulative
Percent
56,7
100,0
Pnglman
Valid
< 5 tahun
5-10 tahun
10-15 tahun
>15 tahun
Total
Frequency
4
20
3
3
30
Percent
13,3
66,7
10,0
10,0
100,0
Valid Percent
13,3
66,7
10,0
10,0
100,0
Cumulative
Percent
13,3
80,0
90,0
100,0
Jml_Pryk
Valid
2-5 proyek
5-10 proyek
> 10 proyek
Total
Frequency
21
6
3
30
Percent
70,0
20,0
10,0
100,0
Valid Percent
70,0
20,0
10,0
100,0
Cumulative
Percent
70,0
90,0
100,0
Tp_Pryk
Valid
Rumah
Gedung
Jalan dan Jembatan
Lain-lain
Total
Frequency
6
16
5
3
30
Percent
20,0
53,3
16,7
10,0
100,0
Valid Percent
20,0
53,3
16,7
10,0
100,0
Cumulative
Percent
20,0
73,3
90,0
100,0
Klmpk
Valid
Batu
Beton
Listrik
Lain-lain
Total
Frequency
14
10
3
3
30
Percent
46,7
33,3
10,0
10,0
100,0
Valid Percent
46,7
33,3
10,0
10,0
100,0
Cumulative
Percent
46,7
80,0
90,0
100,0
Lampiran 4 : Frekuensi Variabel
Interval Skala
Interval
1,00 s/d 1,79
1,80 s/d 2,59
2,60 s/d 3,39
3,40 s/d 4,19
4,20 s/d 5,00
Kategori
SJ
J
KK
S
SS
Frequencies
o2 (X1)
Valid
Perlu
Sangat Perlu
Total
Frequency
22
8
30
Percent
73,3
26,7
100,0
Valid Percent
73,3
26,7
100,0
Cumulative
Percent
73,3
100,0
o1 (X2)
Valid
Perlu
Sangat Perlu
Total
Frequency
23
7
30
Percent
76,7
23,3
100,0
Valid Percent
76,7
23,3
100,0
Cumulative
Percent
76,7
100,0
o3 (X3)
Valid
Upah yang memadai
Lokasi proyek yang
strategis
Lain-lain
Total
Frequency
16
Percent
53,3
Valid Percent
53,3
Cumulative
Percent
53,3
13
43,3
43,3
96,7
1
30
3,3
100,0
3,3
100,0
100,0
D (X4)
Valid
Rendah
Sedang
Tinggi
Sangat Tinggi
Total
Frequency
2
7
15
6
30
Percent
6,7
23,3
50,0
20,0
100,0
Valid Percent
6,7
23,3
50,0
20,0
100,0
Cumulative
Percent
6,7
30,0
80,0
100,0
AQM (Y)
Frequency
Valid
Percent
Valid Percent
Cumulative
Percent
KK
1
3,3
3,3
3,3
KK
1
1
3,3
3,3
3,3
3,3
6,7
10,0
2
1
6,7
3,3
6,7
3,3
16,7
20,0
2
2
6,7
6,7
6,7
6,7
26,7
33,3
KK
KK
S
S
S
S
S
S
S
S
S
S
S
SS
SS
Total
1
3,3
3,3
36,7
3
1
1
1
10,0
3,3
3,3
3,3
10,0
3,3
3,3
3,3
46,7
50,0
53,3
56,7
6
20,0
20,0
76,7
1
2
3,3
6,7
3,3
6,7
80,0
86,7
2
2
6,7
6,7
6,7
6,7
93,3
100,0
30
100,0
100,0
Frequencies
KrM
Valid
S
S
S
S
SS
SS
Frequency
2
Percent
6,7
Valid Percent
6,7
Cumulative
Percent
6,7
6
6
7
20,0
20,0
23,3
20,0
20,0
23,3
26,7
46,7
70,0
4
3
13,3
10,0
13,3
10,0
83,3
93,3
SS
Total
2
6,7
6,7
30
100,0
100,0
100,0
KmM
Valid
SJ
J
KK
KK
S
S
SS
SS
Total
Frequency
2
Percent
6,7
Valid Percent
6,7
Cumulative
Percent
6,7
4
3
13,3
10,0
13,3
10,0
20,0
30,0
2
6,7
6,7
36,7
8
6
3
2
26,7
20,0
10,0
6,7
26,7
20,0
10,0
6,7
63,3
83,3
93,3
100,0
30
100,0
100,0
KP
Valid
KK
S
S
SS
SS
SS
Total
Frequency
4
Percent
13,3
Valid Percent
13,3
Cumulative
Percent
13,3
8
11
26,7
36,7
26,7
36,7
40,0
76,7
2
6,7
6,7
83,3
3
2
30
10,0
6,7
100,0
10,0
6,7
100,0
93,3
100,0
QK
Valid
KK
KK
S
S
S
S
S
SS
SS
Total
Frequency
4
Percent
13,3
Valid Percent
13,3
Cumulative
Percent
13,3
3
2
10,0
6,7
10,0
6,7
23,3
30,0
3
10,0
10,0
40,0
4
3
13,3
10,0
13,3
10,0
53,3
63,3
8
1
2
26,7
3,3
6,7
26,7
3,3
6,7
90,0
93,3
100,0
30
100,0
100,0
JK
Valid
J
Frequency
5
Percent
16,7
Valid Percent
16,7
Cumulative
Percent
16,7
KK
KK
S
S
SS
SS
Total
5
16,7
16,7
33,3
2
6
6,7
20,0
6,7
20,0
40,0
60,0
8
26,7
26,7
86,7
2
2
6,7
6,7
6,7
6,7
93,3
100,0
30
100,0
100,0
Lampiran 5 : Hasil Regresi Linier Berganda
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
D (X4), o3
(X3), o1
(X2),a o2
(X1)
Variables
Removed
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,673a
,453
Adjusted
R Square
,365
Std. Error of
the Estimate
,34952
a. Predictors: (Constant), D (X4), o3 (X3), o1 (X2), o2 (X1)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
2,527
3,054
5,581
df
4
25
29
Mean Square
,632
,122
F
5,171
Sig.
,000a
t
Sig.
,542
,048
,010
,007
,024
a. Predictors: (Constant), D (X4), o3 (X3), o1 (X2), o2 (X1)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
o2 (X1)
o1 (X2)
o3 (X3)
D (X4)
Unstandardized
Coefficients
B
Std. Error
,549
,887
,701
,356
,024
,008
,115
,037
,046
,022
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,718
,023
,150
,087
,619
1,969
3,000
3,108
2,091
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
o2 (X1)a
Variables
Removed
Method
Enter
.
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,659a
,434
Adjusted
R Square
,414
Std. Error of
the Estimate
,33584
a. Predictors: (Constant), o2 (X1)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
2,423
3,158
5,581
df
1
28
29
Mean Square
2,423
,113
F
21,479
Sig.
,000a
a. Predictors: (Constant), o2 (X1)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
o2 (X1)
Unstandardized
Coefficients
B
Std. Error
1,043
,595
,643
,139
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,659
t
1,754
4,635
Sig.
,090
,000
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
o1 (X2)a
Variables
Removed
Method
Enter
.
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,595a
,354
Adjusted
R Square
,331
Std. Error of
the Estimate
,35889
a. Predictors: (Constant), o1 (X2)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
1,974
3,607
5,581
df
1
28
29
Mean Square
1,974
,129
F
15,327
Sig.
,001a
a. Predictors: (Constant), o1 (X2)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
o1 (X2)
Unstandardized
Coefficients
B
Std. Error
1,217
,659
,607
,155
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,595
t
1,847
3,915
Sig.
,075
,001
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
o3 (X3)a
Variables
Removed
Method
Enter
.
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,258a
,066
Adjusted
R Square
,033
Std. Error of
the Estimate
,43139
a. Predictors: (Constant), o3 (X3)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
,370
5,211
5,581
df
1
28
29
Mean Square
,370
,186
F
1,989
Sig.
,170a
a. Predictors: (Constant), o3 (X3)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
o3 (X3)
Unstandardized
Coefficients
B
Std. Error
4,081
,224
,197
,091
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,258
t
18,200
2,165
Sig.
,000
,017
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
D (X4)a
Variables
Removed
Method
Enter
.
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,370a
,137
Adjusted
R Square
,106
Std. Error of
the Estimate
,41476
a. Predictors: (Constant), D (X4)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
,764
4,817
5,581
df
1
28
29
Mean Square
,764
,172
F
4,441
Sig.
,044a
t
8,394
2,107
Sig.
,000
,044
a. Predictors: (Constant), D (X4)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
D (X4)
Unstandardized
Coefficients
B
Std. Error
3,039
,362
,195
,092
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,370
CONCLUSIONS
Conclusions and recommendations of the research on this is "The Analysis
Of Forman Performance on Quality Management Implementation in Yogyakarta
Construction Project". Conclusion of the results of research conducted and
suggestions will be outlined as follows:
5.1. Conclusions
1. The results of the analysis of the description known to most respondents of
respondents (70.0%) to assess the ability of the indicator variable-foreman
who worked on construction projects in Yogyakarta, often.
2. The results of the OLS regression obtained R2 of 0.453means that the
dependent variable in a model that is performance-foreman who worked
on construction projects in Yogyakarta explained by the independent
variable is the variable education, experience, motivation, and discipline of
45.3%, while the rest of 54.7%is explained by other variables outside the
model
3. The results of multiple linear regression analysis produced a regression
equation is
Y = 0.549 + 0.701 X1 + 0.024 X2 + 0.115 X3 + 0.046 X4
demonstrate that education, experience, motivation, and discipline have a
significant influence on the ability of foreman who worked on construction
projects in Yogyakarta. This can be interpreted, if the education,
experience, motivation, and discipline increases, the ability of foreman
who worked on construction projects in Yogyakarta will also increase.
5.2. Suggestion
1. Management of construction projects in Yogyakarta more direct foreman
capabilities in ways to implement the planning, implementation,
Inspection, and quality assurance to the foreman who still lacking.
2. The results of multiple linear regression analysis showed that education,
experience, motivation, and discipline have a significant effect on the
ability of foreman who worked on construction projects in Yogyakarta.
3. Project management to consider the application of the "Punish & rewards"
to motivate more targeted to the foreman to achieve the quality as
expected
4. Project management in order to review the remuneration system that both
parties benefit equally
This can be interpreted, if the education, experience, motivation, and
discipline increases, the ability of foreman who worked on construction
projects in Yogyakarta will also increase.
REFRENCE
Barrie, D.S.1990. Manajemen konstruksi profesional, Edisi kedua, Penerbit
Erlangga, Jakarta.
Juran, J.M.1996. Merancang mutu, Buku ke 2 Ancangan Baru Mewujudkan Mutu
Kedalam Barang dan Jasa, PT Pustaka Binaman Pressindo, Jakarta.
Mitra, A.1993. Fundamental Of Quality Control And Improvement, Macmillan
Publishing Company, New york.
Project management institute. 2004. A Guide To The Project Management Body
Of Knowledge, Publishing by PMI, Pensylvania, USA.
Riduwan. 2004. Metode dan Teknik Menyusun Tesis, Penerbit Alfabeta, Bandung
Suardi, R. 2003. Sistem Manajemen Mutu ISO 9000:2000, Penerapannya Untuk
Mencapai TQM, Penerbit PPM, Jakarta.
Sukarata I Gede, Wayan Yansen, Gede Astawa Diputra.2008. Analisa Kinerja
Mandor Dalam Menerapkan Kualitas Manajemen Pada Proyek
pembangunan Nusa Dua Golf Resort Kawasan BTDC-Nusa Dua Bali.
Jurnal Ilmiah Teknik Sipil Vol.12, Bali
Lampiran 2 : Uji Validitas dan Reliabilitas
Correlations
Correlations
a1
a2
a3
a4
a5
a6
a7
a8
a1 Pearson Cor
1 ,457* ,281 ,000 ,566** ,335 ,265 ,181
Sig. (2-tailed
,011 ,133 1,000 ,001 ,070 ,156 ,339
N
30
30
30
30
30
30
30
30
a2 Pearson Cor ,457*
1 ,299 -,175 ,709**-,073 -,041 -,114
Sig. (2-tailed ,011
,109 ,354 ,000 ,702 ,831 ,549
N
30
30
30
30
30
30
30
30
a3 Pearson Cor ,281 ,299
1 -,024 ,269 -,130 ,287 -,077
Sig. (2-tailed ,133 ,109
,901 ,151 ,492 ,123 ,685
N
30
30
30
30
30
30
30
30
a4 Pearson Cor ,000 -,175 -,024
1 -,298 ,441* ,616** ,694**
Sig. (2-tailed1,000 ,354 ,901
,110 ,015 ,000 ,000
N
30
30
30
30
30
30
30
30
a5 Pearson Cor ,566** ,709** ,269 -,298
1 ,244 ,207 ,048
Sig. (2-tailed ,001 ,000 ,151 ,110
,194 ,272 ,799
N
30
30
30
30
30
30
30
30
a6 Pearson Cor ,335 -,073 -,130 ,441* ,244
1 ,772** ,653**
Sig. (2-tailed ,070 ,702 ,492 ,015 ,194
,000 ,000
N
30
30
30
30
30
30
30
30
a7 Pearson Cor ,265 -,041 ,287 ,616** ,207 ,772**
1 ,672**
Sig. (2-tailed ,156 ,831 ,123 ,000 ,272 ,000
,000
N
30
30
30
30
30
30
30
30
a8 Pearson Cor ,181 -,114 -,077 ,694** ,048 ,653** ,672**
1
Sig. (2-tailed ,339 ,549 ,685 ,000 ,799 ,000 ,000
N
30
30
30
30
30
30
30
30
a9 Pearson Cor ,438* ,466** ,457* ,129 ,721** ,169 ,331 ,176
Sig. (2-tailed ,015 ,009 ,011 ,496 ,000 ,372 ,074 ,353
N
30
30
30
30
30
30
30
30
a10 Pearson Cor ,502** ,729** ,289 -,269 ,609**-,072 -,057 -,005
Sig. (2-tailed ,005 ,000 ,121 ,151 ,000 ,705 ,764 ,980
N
30
30
30
30
30
30
30
30
a11 Pearson Cor ,667** ,537** ,089 -,445* ,728** ,263 ,066 ,105
Sig. (2-tailed ,000 ,002 ,641 ,014 ,000 ,160 ,727 ,582
N
30
30
30
30
30
30
30
30
a12 Pearson Cor ,527** ,472** ,631** ,211 ,383* ,227 ,405* -,045
Sig. (2-tailed ,003 ,009 ,000 ,262 ,036 ,228 ,027 ,813
N
30
30
30
30
30
30
30
30
a13 Pearson Cor ,402* ,421* ,486**-,323 ,518** ,203 ,174 -,204
Sig. (2-tailed ,028 ,021 ,007 ,082 ,003 ,281 ,357 ,280
N
30
30
30
30
30
30
30
30
a14 Pearson Cor ,328 -,176 ,180 ,543** ,000 ,490** ,599** ,853**
Sig. (2-tailed ,077 ,352 ,341 ,002 1,000 ,006 ,000 ,000
N
30
30
30
30
30
30
30
30
a15 Pearson Cor ,339 ,449* ,063 -,283 ,542** ,204 ,000 ,006
Sig. (2-tailed ,067 ,013 ,741 ,130 ,002 ,279 1,000 ,976
N
30
30
30
30
30
30
30
30
a16 Pearson Cor ,528** ,462* ,033 -,301 ,667** ,323 ,007 ,057
Sig. (2-tailed ,003 ,010 ,862 ,106 ,000 ,082 ,970 ,765
N
30
30
30
30
30
30
30
30
a17 Pearson Cor ,279 ,231 ,426* -,043 ,280 ,160 ,354 ,172
Sig. (2-tailed ,135 ,220 ,019 ,823 ,133 ,397 ,055 ,364
N
30
30
30
30
30
30
30
30
a18 Pearson Cor ,143 -,150 -,063 ,819**-,015 ,603** ,670** ,904**
Sig. (2-tailed ,451 ,429 ,743 ,000 ,938 ,000 ,000 ,000
N
30
30
30
30
30
30
30
30
a19 Pearson Cor ,379* ,214 ,205 ,759** ,021 ,317 ,500** ,730**
Sig. (2-tailed ,039 ,257 ,277 ,000 ,912 ,088 ,005 ,000
N
30
30
30
30
30
30
30
30
a20 Pearson Cor ,582** ,371* ,247 ,612** ,397* ,458* ,549** ,532**
Sig. (2-tailed ,001 ,044 ,189 ,000 ,030 ,011 ,002 ,002
N
30
30
30
30
30
30
30
30
AQMPearson Cor ,630** ,416* ,377* ,468** ,560** ,668** ,750** ,682**
Sig. (2-tailed ,000 ,022 ,040 ,009 ,001 ,000 ,000 ,000
N
30
30
30
30
30
30
30
30
*.Correlation is significant at the 0.05 level (2-tailed).
**.Correlation is significant at the 0.01 level (2-tailed).
a9
a10 a11 a12 a13 a14 a15 a16 a17 a18 a19 a20 AQM
,438* ,502** ,667** ,527** ,402* ,328 ,339 ,528** ,279 ,143 ,379* ,582** ,630**
,015 ,005 ,000 ,003 ,028 ,077 ,067 ,003 ,135 ,451 ,039 ,001 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,466** ,729** ,537** ,472** ,421* -,176 ,449* ,462* ,231 -,150 ,214 ,371* ,416*
,009 ,000 ,002 ,009 ,021 ,352 ,013 ,010 ,220 ,429 ,257 ,044 ,022
30
30
30
30
30
30
30
30
30
30
30
30
30
,457* ,289 ,089 ,631** ,486** ,180 ,063 ,033 ,426* -,063 ,205 ,247 ,377*
,011 ,121 ,641 ,000 ,007 ,341 ,741 ,862 ,019 ,743 ,277 ,189 ,040
30
30
30
30
30
30
30
30
30
30
30
30
30
,129 -,269 -,445* ,211 -,323 ,543**-,283 -,301 -,043 ,819** ,759** ,612** ,468**
,496 ,151 ,014 ,262 ,082 ,002 ,130 ,106 ,823 ,000 ,000 ,000 ,009
30
30
30
30
30
30
30
30
30
30
30
30
30
,721** ,609** ,728** ,383* ,518** ,000 ,542** ,667** ,280 -,015 ,021 ,397* ,560**
,000 ,000 ,000 ,036 ,003 1,000 ,002 ,000 ,133 ,938 ,912 ,030 ,001
30
30
30
30
30
30
30
30
30
30
30
30
30
,169 -,072 ,263 ,227 ,203 ,490** ,204 ,323 ,160 ,603** ,317 ,458* ,668**
,372 ,705 ,160 ,228 ,281 ,006 ,279 ,082 ,397 ,000 ,088 ,011 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,331 -,057 ,066 ,405* ,174 ,599** ,000 ,007 ,354 ,670** ,500** ,549** ,750**
,074 ,764 ,727 ,027 ,357 ,000 1,000 ,970 ,055 ,000 ,005 ,002 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,176 -,005 ,105 -,045 -,204 ,853** ,006 ,057 ,172 ,904** ,730** ,532** ,682**
,353 ,980 ,582 ,813 ,280 ,000 ,976 ,765 ,364 ,000 ,000 ,002 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
1 ,452* ,254 ,547** ,276 ,281 ,352 ,484** ,251 ,284 ,230 ,611** ,636**
,012 ,176 ,002 ,140 ,133 ,057 ,007 ,181 ,128 ,222 ,000 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,452*
1 ,707** ,441* ,358 ,165 ,579** ,684** ,340 -,133 ,190 ,292 ,472**
,012
,000 ,015 ,052 ,384 ,001 ,000 ,066 ,482 ,314 ,117 ,009
30
30
30
30
30
30
30
30
30
30
30
30
30
,254 ,707**
1 ,176 ,526** ,185 ,610** ,792** ,385* -,143 -,015 ,145 ,471**
,176 ,000
,353 ,003 ,329 ,000 ,000 ,035 ,451 ,939 ,443 ,009
30
30
30
30
30
30
30
30
30
30
30
30
30
,547** ,441* ,176
1 ,514** ,097 ,064 ,329 ,315 ,048 ,276 ,690** ,580**
,002 ,015 ,353
,004 ,609 ,736 ,075 ,090 ,799 ,139 ,000 ,001
30
30
30
30
30
30
30
30
30
30
30
30
30
,276 ,358 ,526** ,514**
1 -,103 ,377* ,487** ,563**-,262 -,174 ,122 ,383*
,140 ,052 ,003 ,004
,589 ,040 ,006 ,001 ,162 ,357 ,522 ,037
30
30
30
30
30
30
30
30
30
30
30
30
30
,281 ,165 ,185 ,097 -,103
1 ,075 ,185 ,353 ,747** ,629** ,463** ,686**
,133 ,384 ,329 ,609 ,589
,693 ,329 ,055 ,000 ,000 ,010 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,352 ,579** ,610** ,064 ,377* ,075
1 ,711** ,138 -,125 ,018 -,067 ,370*
,057 ,001 ,000 ,736 ,040 ,693
,000 ,468 ,512 ,926 ,727 ,044
30
30
30
30
30
30
30
30
30
30
30
30
30
,484** ,684** ,792** ,329 ,487** ,185 ,711**
1 ,269 -,092 -,087 ,259 ,496**
,007 ,000 ,000 ,075 ,006 ,329 ,000
,150 ,629 ,646 ,167 ,005
30
30
30
30
30
30
30
30
30
30
30
30
30
,251 ,340 ,385* ,315 ,563** ,353 ,138 ,269
1 ,056 ,077 ,170 ,484**
,181 ,066 ,035 ,090 ,001 ,055 ,468 ,150
,768 ,687 ,370 ,007
30
30
30
30
30
30
30
30
30
30
30
30
30
,284 -,133 -,143 ,048 -,262 ,747**-,125 -,092 ,056
1 ,745** ,622** ,632**
,128 ,482 ,451 ,799 ,162 ,000 ,512 ,629 ,768
,000 ,000 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,230 ,190 -,015 ,276 -,174 ,629** ,018 -,087 ,077 ,745**
1 ,686** ,659**
,222 ,314 ,939 ,139 ,357 ,000 ,926 ,646 ,687 ,000
,000 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,611** ,292 ,145 ,690** ,122 ,463**-,067 ,259 ,170 ,622** ,686**
1 ,780**
,000 ,117 ,443 ,000 ,522 ,010 ,727 ,167 ,370 ,000 ,000
,000
30
30
30
30
30
30
30
30
30
30
30
30
30
,636** ,472** ,471** ,580** ,383* ,686** ,370* ,496** ,484** ,632** ,659** ,780**
1
,000 ,009 ,009 ,001 ,037 ,000 ,044 ,005 ,007 ,000 ,000 ,000
30
30
30
30
30
30
30
30
30
30
30
30
30
Reliability
Case Processing Summary
N
Cases
Valid
Excludeda
Total
%
100,0
,0
100,0
30
0
30
a. Listwise deletion based on all
variables in the procedure.
Reliability Statistics
Cronbach's
Alpha
,870
N of Items
20
Correlations
Correlations
o1
o1
o2
o3
Op
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
1
30
,915**
,000
30
,490**
,006
30
,891**
,000
30
o2
,915**
,000
30
1
30
,536**
,002
30
,913**
,000
30
**. Correlation is significant at the 0.01 level (2-tailed).
o3
,490**
,006
30
,536**
,002
30
1
30
,813**
,000
30
Op
,891**
,000
30
,913**
,000
30
,813**
,000
30
1
30
Reliability
Case Processing Summary
N
Cases
Valid
Excludeda
Total
30
0
30
a. Listwise deletion based on all
variables in the procedure.
Reliability Statistics
Cronbach's
Alpha
,824
N of Items
3
%
100,0
,0
100,0
Lampiran 3 : Frekuensi Karakteristik Responden
Frequencies
Umur
Valid
< 30 years/tahun
30-35 years/tahun
35-40 years/tahun
> 40 years/tahun
Total
Frequency
2
18
4
6
30
Percent
6,7
60,0
13,3
20,0
100,0
Valid Percent
6,7
60,0
13,3
20,0
100,0
Cumulative
Percent
6,7
66,7
80,0
100,0
Pddkn
Valid
SLTA
SMP
Total
Frequency
17
13
30
Percent
56,7
43,3
100,0
Valid Percent
56,7
43,3
100,0
Cumulative
Percent
56,7
100,0
Pnglman
Valid
< 5 tahun
5-10 tahun
10-15 tahun
>15 tahun
Total
Frequency
4
20
3
3
30
Percent
13,3
66,7
10,0
10,0
100,0
Valid Percent
13,3
66,7
10,0
10,0
100,0
Cumulative
Percent
13,3
80,0
90,0
100,0
Jml_Pryk
Valid
2-5 proyek
5-10 proyek
> 10 proyek
Total
Frequency
21
6
3
30
Percent
70,0
20,0
10,0
100,0
Valid Percent
70,0
20,0
10,0
100,0
Cumulative
Percent
70,0
90,0
100,0
Tp_Pryk
Valid
Rumah
Gedung
Jalan dan Jembatan
Lain-lain
Total
Frequency
6
16
5
3
30
Percent
20,0
53,3
16,7
10,0
100,0
Valid Percent
20,0
53,3
16,7
10,0
100,0
Cumulative
Percent
20,0
73,3
90,0
100,0
Klmpk
Valid
Batu
Beton
Listrik
Lain-lain
Total
Frequency
14
10
3
3
30
Percent
46,7
33,3
10,0
10,0
100,0
Valid Percent
46,7
33,3
10,0
10,0
100,0
Cumulative
Percent
46,7
80,0
90,0
100,0
Lampiran 4 : Frekuensi Variabel
Interval Skala
Interval
1,00 s/d 1,79
1,80 s/d 2,59
2,60 s/d 3,39
3,40 s/d 4,19
4,20 s/d 5,00
Kategori
SJ
J
KK
S
SS
Frequencies
o2 (X1)
Valid
Perlu
Sangat Perlu
Total
Frequency
22
8
30
Percent
73,3
26,7
100,0
Valid Percent
73,3
26,7
100,0
Cumulative
Percent
73,3
100,0
o1 (X2)
Valid
Perlu
Sangat Perlu
Total
Frequency
23
7
30
Percent
76,7
23,3
100,0
Valid Percent
76,7
23,3
100,0
Cumulative
Percent
76,7
100,0
o3 (X3)
Valid
Upah yang memadai
Lokasi proyek yang
strategis
Lain-lain
Total
Frequency
16
Percent
53,3
Valid Percent
53,3
Cumulative
Percent
53,3
13
43,3
43,3
96,7
1
30
3,3
100,0
3,3
100,0
100,0
D (X4)
Valid
Rendah
Sedang
Tinggi
Sangat Tinggi
Total
Frequency
2
7
15
6
30
Percent
6,7
23,3
50,0
20,0
100,0
Valid Percent
6,7
23,3
50,0
20,0
100,0
Cumulative
Percent
6,7
30,0
80,0
100,0
AQM (Y)
Frequency
Valid
Percent
Valid Percent
Cumulative
Percent
KK
1
3,3
3,3
3,3
KK
1
1
3,3
3,3
3,3
3,3
6,7
10,0
2
1
6,7
3,3
6,7
3,3
16,7
20,0
2
2
6,7
6,7
6,7
6,7
26,7
33,3
KK
KK
S
S
S
S
S
S
S
S
S
S
S
SS
SS
Total
1
3,3
3,3
36,7
3
1
1
1
10,0
3,3
3,3
3,3
10,0
3,3
3,3
3,3
46,7
50,0
53,3
56,7
6
20,0
20,0
76,7
1
2
3,3
6,7
3,3
6,7
80,0
86,7
2
2
6,7
6,7
6,7
6,7
93,3
100,0
30
100,0
100,0
Frequencies
KrM
Valid
S
S
S
S
SS
SS
Frequency
2
Percent
6,7
Valid Percent
6,7
Cumulative
Percent
6,7
6
6
7
20,0
20,0
23,3
20,0
20,0
23,3
26,7
46,7
70,0
4
3
13,3
10,0
13,3
10,0
83,3
93,3
SS
Total
2
6,7
6,7
30
100,0
100,0
100,0
KmM
Valid
SJ
J
KK
KK
S
S
SS
SS
Total
Frequency
2
Percent
6,7
Valid Percent
6,7
Cumulative
Percent
6,7
4
3
13,3
10,0
13,3
10,0
20,0
30,0
2
6,7
6,7
36,7
8
6
3
2
26,7
20,0
10,0
6,7
26,7
20,0
10,0
6,7
63,3
83,3
93,3
100,0
30
100,0
100,0
KP
Valid
KK
S
S
SS
SS
SS
Total
Frequency
4
Percent
13,3
Valid Percent
13,3
Cumulative
Percent
13,3
8
11
26,7
36,7
26,7
36,7
40,0
76,7
2
6,7
6,7
83,3
3
2
30
10,0
6,7
100,0
10,0
6,7
100,0
93,3
100,0
QK
Valid
KK
KK
S
S
S
S
S
SS
SS
Total
Frequency
4
Percent
13,3
Valid Percent
13,3
Cumulative
Percent
13,3
3
2
10,0
6,7
10,0
6,7
23,3
30,0
3
10,0
10,0
40,0
4
3
13,3
10,0
13,3
10,0
53,3
63,3
8
1
2
26,7
3,3
6,7
26,7
3,3
6,7
90,0
93,3
100,0
30
100,0
100,0
JK
Valid
J
Frequency
5
Percent
16,7
Valid Percent
16,7
Cumulative
Percent
16,7
KK
KK
S
S
SS
SS
Total
5
16,7
16,7
33,3
2
6
6,7
20,0
6,7
20,0
40,0
60,0
8
26,7
26,7
86,7
2
2
6,7
6,7
6,7
6,7
93,3
100,0
30
100,0
100,0
Lampiran 5 : Hasil Regresi Linier Berganda
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
D (X4), o3
(X3), o1
(X2),a o2
(X1)
Variables
Removed
Method
.
Enter
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,673a
,453
Adjusted
R Square
,365
Std. Error of
the Estimate
,34952
a. Predictors: (Constant), D (X4), o3 (X3), o1 (X2), o2 (X1)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
2,527
3,054
5,581
df
4
25
29
Mean Square
,632
,122
F
5,171
Sig.
,000a
t
Sig.
,542
,048
,010
,007
,024
a. Predictors: (Constant), D (X4), o3 (X3), o1 (X2), o2 (X1)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
o2 (X1)
o1 (X2)
o3 (X3)
D (X4)
Unstandardized
Coefficients
B
Std. Error
,549
,887
,701
,356
,024
,008
,115
,037
,046
,022
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,718
,023
,150
,087
,619
1,969
3,000
3,108
2,091
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
o2 (X1)a
Variables
Removed
Method
Enter
.
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,659a
,434
Adjusted
R Square
,414
Std. Error of
the Estimate
,33584
a. Predictors: (Constant), o2 (X1)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
2,423
3,158
5,581
df
1
28
29
Mean Square
2,423
,113
F
21,479
Sig.
,000a
a. Predictors: (Constant), o2 (X1)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
o2 (X1)
Unstandardized
Coefficients
B
Std. Error
1,043
,595
,643
,139
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,659
t
1,754
4,635
Sig.
,090
,000
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
o1 (X2)a
Variables
Removed
Method
Enter
.
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,595a
,354
Adjusted
R Square
,331
Std. Error of
the Estimate
,35889
a. Predictors: (Constant), o1 (X2)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
1,974
3,607
5,581
df
1
28
29
Mean Square
1,974
,129
F
15,327
Sig.
,001a
a. Predictors: (Constant), o1 (X2)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
o1 (X2)
Unstandardized
Coefficients
B
Std. Error
1,217
,659
,607
,155
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,595
t
1,847
3,915
Sig.
,075
,001
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
o3 (X3)a
Variables
Removed
Method
Enter
.
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,258a
,066
Adjusted
R Square
,033
Std. Error of
the Estimate
,43139
a. Predictors: (Constant), o3 (X3)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
,370
5,211
5,581
df
1
28
29
Mean Square
,370
,186
F
1,989
Sig.
,170a
a. Predictors: (Constant), o3 (X3)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
o3 (X3)
Unstandardized
Coefficients
B
Std. Error
4,081
,224
,197
,091
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,258
t
18,200
2,165
Sig.
,000
,017
Regression
Variables Entered/Removedb
Model
1
Variables
Entered
D (X4)a
Variables
Removed
Method
Enter
.
a. All requested variables entered.
b. Dependent Variable: AQM (Y)
Model Summary
Model
1
R
R Square
,370a
,137
Adjusted
R Square
,106
Std. Error of
the Estimate
,41476
a. Predictors: (Constant), D (X4)
ANOVAb
Model
1
Regression
Residual
Total
Sum of
Squares
,764
4,817
5,581
df
1
28
29
Mean Square
,764
,172
F
4,441
Sig.
,044a
t
8,394
2,107
Sig.
,000
,044
a. Predictors: (Constant), D (X4)
b. Dependent Variable: AQM (Y)
Coefficientsa
Model
1
(Constant)
D (X4)
Unstandardized
Coefficients
B
Std. Error
3,039
,362
,195
,092
a. Dependent Variable: AQM (Y)
Standardized
Coefficients
Beta
,370