JRSSEM 2022, Vol. 01, No. 6, 656 – 668
E-ISSN: 2807 - 6311, P-ISSN: 2807 - 6494
DOI : 10.36418/jrssem.v1i6.76
INFLUENCE OF MOTIVATION, CREATIVITY, AND
INNOVATION ON FOOD AND BEVERAGE PROCESSING
INDUSTRY BUSINESS PERFOMANCE IN
PANGKALPINANG
Rika Rachmawati
1*
Khofifah Habibah Fitria
2
Wulan Sari Purnama
3
Reniati Reniati
4
1,2,3,4
Bangka Belitung University, Indoneisa
email: rrika3821@gmail.com
1
, khofifahhabibahfitria[email protected]
2
,
wulanpurnamasari640@gmail.com
3
, r3ni4ti@gmail.com
4
*Correspondence: rrika3821@gmail.com
Submitted: 30 December 2021, Revised: 10 January 2022, Accepted: 14 January 2022
Abstract. This research aimed to determine the effect of motivation, creativity, and innovation on
the performance of food and beverage processing industry players in the city of Pangkalpinang.
This type of research was quantitative. The population in this study was the food and beverage
processing industry players in the city of Pangkalpinang. The sampling technique was carried out
by means of Simple Random Sampling and obtained a sample of 133. The data collection
techniques used were questionnaires, documentation, and literature studies. The data analysis
technique used was a multiple linear analysis technique and used a partial hypothesis test (t) and
simultaneously (f) and uses the coefficient of determination. The results of this study are 1)
motivation has no effect on the performance of the food and beverage processing industry players
in Pangkalpinang 2) creativity has a positive effect on the performance of the food and beverage
processing industry players in Pangkalpinang 3) innovation has no effect on the performance of
the food and beverage processing industry players in Pangkalpinang 4 ) motivation, creativity, and
innovation together have a positive effect on the performance of food and beverage processing
industry players.
Keywords: motivation; creativity; innovation; the performance of players in the industry.
Rika Rachmawati, Khofifah Habibah Fitria, Wulan Sari Purnama, Reniati Reniati | 657
DOI : 10.36418/jrssem.v1i6.76
INTRODUCTION
Micro, Small and Medium Enterprises
(MSMEs) are crucial factors in improving
the economy, especially in developing
countries such as Indonesia. MSMEs have a
big influence in the Industrial Revolution
4.0 (Reniati, Santi, Fadillah Sabri, & Eng,
2019), because MSMEs can create jobs and
reduce unemployment (Prasetyo, 2021).
The COVID-19 virus pandemic has had a
serious impact on MSMEs, because the
government implemented Large-Scale
Social Restrictions and campaigned for Stay
at Home (Susanti & Widajatun, 2021). The
COVID-19 virus triggered an economic
shock, including affecting the economy of
individuals, micro, small and medium
enterprises, and even large ones as well as
affecting the country's economy globally
(McKibbin & Fernando, 2020).
MSMEs make a big contribution to
Indonesian economy, because the
existence of Micro, Small and Medium
Enterprises dominates which can be used
as the backbone of the national economy
(Wahyono, Narmaditya, Wibowo, &
Kustiandi, 2021). The Indonesian
government is trying to develop this small
industry because MSMEs are considered
the foundation of economic growth, so that
the COVID-19 pandemic problem does not
result in a prolonged economic recession
(Hermawati, Lawson, & Sutarto, 2014).
Based on research conducted by (Daud,
Sudrajat, Maryani, & Effendi, 2021)
obtained an inventory of MSME problems
in the Bangka Belitung Islands Province,
including: (1) Financial Limitations (2)
Marketing Difficulties (3) Raw Material
Problems (4) Limited Human Resources
(HR) (5) Technology Limitations, and (High
Transportation Costs).
Pangkalpinang City is the capital of the
Bangka Belitung Islands Province which has
an area of 104,405 km2. When compared to
the province, the area of this city is only
0.72 percent and is the smallest city/district
area in the Province of the Bangka Belitung
Islands (Sugianto & Bokings, 2021).
Pangkalpinang City has 7 sub-districts,
including Rangkui, Bukit Intan, Girimaya,
Pangkal Balam, Gabek, Tamansari and
Gerunggang districts.
Table 1. Number of Micro, Small, and
Medium Enterprises (MSMEs) by Type in
Pangkalpinang City (Unit), 2018-2020
Type of
Business
Number of Micro, Small, and
Medium Enterprises (MSMEs) by
type in Pangkalpinang City (Unit)
2018
2019
2020
Micro
2,725
2,725
16,428
Small
1,304
1,304
11. 051
Medium
75
75
719
Total
4,104
4,104
28,198
Source: Central Bureau of Statistics of
Pangkalpinang City in 2020
Based on the data above, it can be seen
that MSMEs in Pangkalpinang City have
developed from 2019 to 2020 Most
businesses believe in micro businesses as
many as 16,428 units followed by small
businesses with 11,051 units and the least
are medium businesses with 719 units.
However, this has increased significantly,
and indicates the occurrence of economic
growth in the city of Pangkalpinang.
Table 2. Distribution of MSME Data by
District by Business Sector Income Results
up to June 2020
N
o
Business
Field
658 | Influence of Motivation, Creativity, and Innovation on Food and Beverage Processing
Industry Business Perfomance in Pangkalpinang
Bukit
Intan
Taman
Sari
Pangka
l Balam
1
Culinary
523
312
215
2
Fashion
64
51
25
3
Education
2
4
2
4
Automate
d
69
65
37
5
Agribusine
ss
28
15
5
6
Internet
9
18
3
7
Others
515
327
354
Total
1,210
792
641
Table 3. Total UMKM
N
o
Number of SMEs per District
Rangk
ui
Gerunggan
g
Gabe
k
Girimay
a
1
455
287
286
278
2
73
20
49
40
3
5
3
3
5
4
70
33
57
37
5
28
20
21
10
6
6
5
11
3
7
561
391
462
333
Total
1,198
759
889
Total UMKM = 6,195
Source: Cooperative, UMKM and Trade Office of
Pangkalpinang City in 2020
Based on the table above, it can be seen
that the most UMKM in Pangkalpinang city
are culinary businesses, namely as many as
2,356 units and the least is business in the
field of education, which is as many as 27
units.
Performance is the result of goals
assigned to people with different levels of
responsibility. According to (Riswanto &
Aryani, 2017), motivation is a description of
the level of achievement in carrying out a
program of activities or policies in realizing
the goals, objectives, vision, and mission of
an organization's strategic planning
organization. To improve performance, of
course, motivation is needed, therefore
performance is influenced by motivation
(Erica et al, 2020).
According to (Panuccio, Christian,
Martinez, & Sullivan, 2012), motivation is
the process of expressing one's strength,
direction, and continuity in achieving a
goal. Motivation is very important in
entrepreneurship. According to (Carsrud &
Brännback, 2011), entrepreneurial
motivation provides energy that helps a
person fulfill his needs, create satisfaction
and reduce imbalances by carrying out
activities and opening businesses and
businesses. In addition to motivation,
performance is also influenced by creativity
(Gerhart & Fang, 2015).
According to (Puhakka, 2010), creativity
is the ability to generate new ideas and
discoveries in recognizing problems and
opportunities. According to (Malmelin &
Nivari-Lindström, 2017), creativity is high-
quality creativity in producing new and
practical products. According to research
conducted by (Marrocu & Paci, 2012), it is
stated that creativity has an influence on
industrial performance. According to
(Prihadini, 2021) Based on phenomena in
the field, it shows that most of the MSME
products in the Bangka Belitung
archipelago do not yet have creativity.
In addition to motivation and creativity,
innovation also affects industrial
performance. Innovation is creating new
and creative products, which have never
existed before. According to (Armentano,
2012), innovation is the process of
updating or using/developing by creating
something new and different. Innovation is
important for every company.
Based on the results of the description
Rika Rachmawati, Khofifah Habibah Fitria, Wulan Sari Purnama, Reniati Reniati | 659
above, the research conducted in the city of
Pangkalpinang has the aim of knowing the
influence of motivation, creativity, and
innovation on the performance of the food
and beverage processing industry players
in the city of Pangkalpinang.
METHODS
This research is a descriptive study with
a quantitative approach. The population in
this study is the food and beverage
processing industry players in
Pangkalpinang city, amounting to 200
people.
The sampling technique was carried out
using simple random sampling, data
collection using research instruments,
statistical quantitative data analysis, which
aims to test the established hypothesis.
Data collection techniques using a
questionnaire (questionnaire) and
documentation.
The Validity
Testtest in this study uses
theCorrelation formula Pearson Product
Moment (Sanusi, 2011:77).







Information:
rx = correlation coefficient
X = score obtained from all items
Y = total score obtained from all items
N = number of respondents
X = total score in distribution x
Y = total score in distribution
= number of squares in distribution
score X
= the number of squares in the Y
distribution score. The
A guideline for deciding whether or not
a questionnaire is valid (questionnaire) is to
compare count with table with a
significance of 5%. An instrument is said to
be valid if rcount rtable, whereas if rcount
rtable, then the data is said to be invalid.
Reliability
Test The reliability test in this study uses
the coefficient formula Cronbach alpha, as
follows:

󰇟
󰇜
Description:

= instrument reliability
= number of questions or questions
= number of variances item
= total variance
Data Analysis Techniques
Technique is used to measure the effect
of more than one independent variable on
the dependent variable. Thus the data
analysis technique used is multiple
regression. Multiple linear regression can
be formulated as follows (Sugiyono,
2009:277).
Y = a+b1X1+b2X2
Information:
Y = Dependent variable, namely the
performance of the food and beverage
processing industry
X1 = Independent variable, namely
motivation
X2 = Independent variable, namely
creativity
X3 = Independent variable, namely
660 | Influence of Motivation, Creativity, and Innovation on Food and Beverage Processing
Industry Business Perfomance in Pangkalpinang
innovation
a = Constant which is the average value of
Y when the values of X1 and X2 are
equal to zero
b1 = Partial regression coefficient,
measuring the average value of Y,
for each change in X1 assuming X2
is constant
b2 = Regression coefficient partial,
measuring the average value of Y
for each change in X2, assuming
that X1 is constant.
RESULTS AND DISCUSSION
Validity
This test is used to find out the value of
r table can be done with the formula: rtable
(a, n-2) from the table Product Moment.
The application program used in this
validity test is SPSS 23.0. In this validity test,
it is known that n is 133, and a = 5%, the
table (5%, 133-2) 131 = 0.1703. Each
question item or statement can be said to
be valid if it is greater than 0.1703.
Validity Test of Motivation Variable (X1)
Table 4. Validity of Motivation Variable
Test Results
Ite
m
R
count
R
table
Descriptio
n
X1.
1
0.495
0.170
3
Valid
X1.
2
0.628
0.170
3
Valid
X1.
3
0.661
0.170
3
Valid
X1.
4
0.667
0.170
3
Valid
X1.
5
0.566
0.170
3
Valid
X1.
6
0.435
0.170
3
Valid
X1.
7
0.451
0.170
3
Valid
X1.
8
0.322
0.170
3
Valid
Source: Primary Data Processing Results,
2021
Based on the Motivation Validity Test
table, all items questions or statements
regarding motivation with research
instruments are declared valid because
rcount is greater than rtable (0.1703).
Validity Test of Creativity Variable (X2)
Table 5. Validity of Creativity Variable
Item
R
count
R
table
Description
X2.1
0.325
0.170
3
Valid
X2.2
0.710
0.170
3
Valid
X2.3
0.704
0.170
3
Valid
X2.4
0.727
0.170
3
Valid
X2.5
0.627
0.170
3
Valid
X2.6
0.762
0.170
3
Invalid
X2.7
0.775
0.170
3
Valid
X2.8
0.777
0.170
3
Valid
X2.9
0.242
0.170
3
Valid
X2.1
0
0.379
0.170
3
Valid
X2.
11
0.569
0.170
3
valid
X2.1
2
0.550
0.170
3
valid
Source: Primary Data Processing, 2021
Rika Rachmawati, Khofifah Habibah Fitria, Wulan Sari Purnama, Reniati Reniati | 661
According to the table, whole item, a
question or a statement of creativity in the
research instrument are valid for rcount
larger than rtable (0 ,1703).
Test Validity Variable Innovation (X3)
Table 6. Validity Test of Innovation
Variable
Item
R
count
R
table
Description
X3.1
0.592
0.170
3
Valid
X3.2
0.667
0.170
3
Valid
X3.3
0.640
0.170
3
Valid
X3.4
0.335
0.170
3
Valid
X3.5
0.503
0.170
3
Valid
X3.6
0.456
0.170
3
Valid
X3.7
0.571
0.170
3
Valid
X3.8
0.585
0.170
3
Valid
Source: Primary Data Processing, 2021
According to the table, innovation validity
result is that, all items of questions or the
statements regarding innovation in
research instrument is declared valid
because rcount is greater than rtable
(0.1703).
Validity Test of Industry Perfomance
variable (Y)
Table 7. Validity of Performance Industry
Variable
Item
R
count
R
table
Descrip
tion
Y1
0.731
0.17
Valid
03
Y2
0.781
0.17
03
Invalid
Y3
0.560
0.17
03
Valid
Y4
0.598
0.17
03
Valid
Y5
0.581
0.17
03
Valid
Y6
0.740
0.17
03
Valid
Y7
0.661
0.17
03
Valid
Y8
0.647
0.17
03
Valid
Y9
0.693
0.17
03
Valid
Source: Primary Data Processing,
2021
Based on the table validity of industry
performance Variable, the entire item
question or statement about the
performance of the industry in the research
instrument is declared valid, because
rcount is greater than table (0.1703).
Hence, from the analysis of data in the
tables above, it can be concluded that the
entire item question or statement is valid
for all items that have a value greater than
0.1703. Thus, further analysis can be carried
out.
Reliability
This reliability test was carried out using
Croncbach`s Alpha using the SPSS
application program. A variable is said to
be reliable if the value of Croncbach's Alpha
is 0.60. The application program used in
this reliability test is SPSS 23.0.
662 | Influence of Motivation, Creativity, and Innovation on Food and Beverage Processing
Industry Business Perfomance in Pangkalpinang
Reliability Test of Motivation Variable
(X
1
)
Table 8. Reliability Test of Motivational
Variables
Croncbach's
Alpha
N of Item
0.632
8
Source: Primary Data Processing Results,
2021
Based on the table of Reliability Test of
Motivation Variable, it can be seen that the
motivation variable instrument can be said
to be reliable value Croncbach`s Alpha of
the motivation variable is 0.632 0.60.
The Reliability of Creativity Variable (X2)
Table 9. Reliability Test of Creativity
Variable
Cronbach's
Alpha
N of Items
0.826
12
Source: Primary Data Processing, 2021
Based on Reliability Test of Creativity
Variable, it can be seen that the instrument
variables creativity can be said to be
reliable because the value of Croncbach`s
Alpha of the creativity variable is 0.826 0.60.
Reliability Test of Innovation Variables
(X
3
)
Table 10. Reliability Test of Innovation
Variable
Croncbach's
Alpha
N of Item
0.653
8
Source: Primary Data Processing
Results, 2021
Based on the Innovation Variable
Reliability Test table, it can be seen that the
innovation variable instrument can be said
to be reliable because the value of
Croncbach`s Alpha of the innovation
variable is 0.653 0.60.
Industrial Performance Variable
Reliability Test (Y)
Table 11. Test Industrial Performance
Variable Reliability Test
Croncbach's
Alpha
N of Item
0.833
9
Source: Primary Data Processing Results,
2021
Based on the Industrial Performance
Variable Reliability Test table, it can be seen
that the industrial performance variable
instrument can be said to be reliable
because the value of Croncbach's Alpha of
the industrial performance variable is 0.833
0.60.
Multiple Linear Regression Analysis
To determine the relationship and
influence between motivation, innovation
and creativity and the performance of the
food and beverage processing industry. To
determine the magnitude of the influence
quantitatively and a change (variable X) on
other events (variable Y). then the following
output can be produced:
Table 12. Multiple Linear Regression Test
Coefficientsa
Model
Unstandard
ized
Coefficients
Standardi
zed
Coefficie
nts
t
Sig.
Rika Rachmawati, Khofifah Habibah Fitria, Wulan Sari Purnama, Reniati Reniati | 663
B
Std.
Error
Beta
1
(Consta
nt)
4,20
6
4,317
,974
,332
Motiva
si (X1)
-,08
3
,143
-,054
-,57
8
,564
Kreativi
tas (X2)
,514
,105
,501
4,87
4
,000
Inovasi
(X3)
,159
,121
,112
1,31
5
,191
Dependent Variable: Industry
performance (Y)
Based on the table Industry
Performance Variable Validity, the entire
item question or statement about the
performance of the industry in the research
instrument is declared valid, because
rcount is greater than table (0.1703).
Hence, from the analysis of data in the
tables above it can be concluded that the
entire item question or statement is valid
for all items that have a value greater than
0.1703. Thus, further analysis can be carried
out.
Reliability
This reliability test was carried out using
Croncbach`s Alpha using the SPSS
application program. A variable is said to
be reliable if the value of Croncbach's Alpha
is 0.60. The application program used in
this reliability test is SPSS 23.0.
Reliability Test of Motivation Variables
(X
1
)
Table 13. Reliability Test of Motivation
Variables
Croncbach's
Alpha
N of Item
0.632
8
Source: Primary Data Processing
Results, 2021
Based on the table of Reliability Test of
Motivational Variable, it can be seen that
the motivation variable instrument can be
said to be reliable value Croncbach`s Alpha
of the motivation variable is 0.632 0.60.
Reliability Test of Creativity Variable (X2)
Table 14. Reliability Test of Creativity
Variable
Cronbach's
Alpha
N of Items
0.826
12
Source: Primary Data Processing, 2021
Based on Table Reliability Test of
Creativity Variable, it can be seen that the
instrument variables creativity can be said
to be reliable because the value of
Croncbach`s Alpha of the creativity variable
is 0.826 0.60.
Reliability Test of Innovation Variable
(X
3
)
Table 15. Reliability Test of Innovation
Variable
Croncbach's
Alpha
N of Item
0.653
8
Source: Primary Data Processing
Results, 2021
Based on the Innovation Variable
Reliability Test table, it can be seen that the
innovation variable instrument can be said
to be reliable because the value of
Croncbach`s Alpha of the innovation
variable is 0.653 0.60.
Industrial Performance Variable
Reliability Test (Y)
Table 16. Test Industrial Performance
Variable Reliability Test
664 | Influence of Motivation, Creativity, and Innovation on Food and Beverage Processing
Industry Business Perfomance in Pangkalpinang
Croncbach's
Alpha
N of Item
0.833
9
Source: Primary Data Processing
Results, 2021
Based on the Industrial Performance
Variable Reliability Test table, it can be seen
that the industrial performance variable
instrument can be said to be reliable
because the value of Croncbach's Alpha of
the industrial performance variable is 0.833
0.60.
Multiple Linear Regression Analysis
To determine the relationship and
influence between motivation, innovation
and creativity and the performance of the
food and beverage processing industry. To
determine the magnitude of the influence
quantitatively and a change (variable X) on
other events (variable Y). then the following
output can be produced:
Table 17. Multiple Linear Regression
Test
Coefficients
a
Model
Unstandar
dized
Coefficients
Standar
dized
Coefficie
nts
t
Si
g.
B
Std.
Erro
r
Beta
1
(Const
ant)
4.
20
6
4.31
7,
97
4,
33
2
Motiv
ation
(X1)
-,
083,
143
-, 054
-,
57
8,
56
4
Creati
vity
(X
2)
,5
14
,
105,501
4.
87
4,
00
0
Innov
ation
(X
3)
,1
59
121
,112
1,
31
5
,1
91
,
a. Dependent Variable: Industrial Performance
(Y)
Based on Table 4.11, an equation can be
made, namely:
Y = 4.206 – 0.083X
1
+ 0.514X
2
+ 0.159X
3 The
1. a constant of 4.206 shows that
Motivation, Creativity and Innovation
have a fixed value, then Industrial
Performance will have a value of 4.206.
2. The regression coefficient for the
Motivation variable is -0.083. The
coefficient shows that the motivation
variable has no effect on Industrial
Performance.
3. The regression coefficient for the
Creativity variable is 0.514. The
coefficient shows that the Creativity
variable has an effect on Industrial
Performance.
4. The regression coefficient for the
Innovation variable is 0.159. The
coefficient shows that the Innovation
variable has no effect on Industrial
Performance.
Partial Test (F Test)
This test was conducted to determine
the effect of the independent variables (X
1
,
X
2
, X
3
) together (simultaneously) on the
dependent variable (Y). then the following
output can be produced:
Table18. FTest ANOVA
a
Model
Sum of
Squares
d
f
Mean
Square
F
Sig
.
1
Regre
ssion
759,348
3
253,116
1
7
,
0
7
5
,00
0
b
1
Resid
1912,216
1
2
14,823
Rika Rachmawati, Khofifah Habibah Fitria, Wulan Sari Purnama, Reniati Reniati | 665
ual
9
Total
2671,564
1
3
2
a. Dependent Variable : Industrial Performance (Y)
b. Predictors : (Constant), Innovation (X
3
), Motivation
(X
1
), Creativity (X
2
)
Based on the formula Ftable then (F(k ;
nk) = F(3 ; 133-3) = 3 ; 130 = 2.67). So based
on table 4.18 it can be seen that the value
is calculated
17.075 F
table
2.67. Then from
the analysis can be concluded that
simultaneous motivation variables
(X
1),
Creativity (X
2
)
and Innovation (X
3
)
Collaborative influence on industry
performance.
Partial Test (T Test)
This test is conducted to determine
whether there is an independent variable
influence (Motivation, Creativity and
Innovation) on its own (partial) on the
dependent variable (industrial
performance). it can produce output as
follows:
Table 19. Partial Test
No.
Independent
Variables
value
t
Sig.
1
Motivation
-0.578
0.564
2
Creativity
4.874
0.000
3
Innovation
1.315
0.191
Based on table 4.19 it is known that the
value of tcount for the motivation variables
is (-0.578), creativity (4.874), and innovation
(1.315).
1. Motivation T test(X-1)
t test for indicators of motivation (X
1
)
obtained tcount equal to (-0.578) ≤
ttable (1.978), then H0 was accepted
and Ha was rejected. Thus, it can be
concluded that motivation partially has
no effect on industrial performance. This
is also reinforced by the significance
value (0.564) (0.05) (α = 5%). So, the
motivation that exists in the food and
beverage processing industry players in
the city of Pangkalpinang does not affect
the performance of the industry.
2. T test on Creativity (X
2
)
The t test on the Creativity indicator (X
2
)
obtained tcount of (1,315) (1,978), then
H0 was rejected and Ha was accepted.
Thus, it can be concluded that creativity
partially affects industrial performance.
This is also reinforced by the significance
value (0.000) (0.05) (α = 5%). So, the
creativity of the food and beverage
processing industry players in the city of
Pangkalpinang affects the performance
of the industry.
3. T test on Innovation (X
3
)
The t test on the Innovation indicator
(X
3
) obtained tcount of (-0.578) ttable
of (1.978), then H0 was accepted and Ha
was rejected. Thus, it can be concluded
that motivation partially has no effect on
industrial performance. This is also
reinforced by the significance value
(0.191) (0.05) (α = 5%). So, the
innovations that exist in the food and
beverage processing industry players in
the city of Pangkalpinang do not affect
the performance of the industry.
The coefficient of determination (R ²)
The coefficient of determination (R
2)
is
used to measure how much the dependent
variable (industrial performance) is
influenced by independent variables
(motivation, creativity and innovation).
then the following output can be produced:
Table 20. Test of the Coefficient of
666 | Influence of Motivation, Creativity, and Innovation on Food and Beverage Processing
Industry Business Perfomance in Pangkalpinang
Determination (R²) Model Summary
b
Model
R
R
Square
Adjusted R
Square
Std. Error
of the
Estimate
1
,5
3
3
a
,284
,268
3,850
a. Predictors: (Constant), X3, X1, X2
b. Dependent Variable: Y
Based on the results of the Coefficient
of Determination Test (R²) above, it is
known that R Square is 0.284, this means
that the effect of variables X
1
, X
2
and X
3
simultaneously on variable Y is 28.4%.
CONCLUSIONS
Based on Results and discussion is
done, it can be concluded as follows:
1. Partial Motivation (X
1
) has no effect on
the Performance of the Industry, it is
seen from value
t
for Motivation is
arithmetic -0.578≤ ttable 1,978 with
significant value ( 0.564) (0.05) (α = 5%).
So that we can conclude that H0 is
accepted and Ha is rejected.
2. Partial Creativity(X
2
) has effect on
industrial performance, it is seen from
value
t
for Creativity ist 1,315≤ ttable
1,978 with significant value (0,000) ≥
(0.05) (α = 5%). So that we can conclude
that H0 is rejected and Ha is accepted.
3. Partial Innovation(X
3
) has no effect on
the Performance of the Industry, it is
seen from value
t
for Motivation
istarithmetic -0.578≤ ttable 1,978 with
significant value (0.191) ≥ (0.05) (α =
5%). So that we can conclude that H0 is
accepted and Ha is rejected.
4. TheF value
table
is 2.67, so based on table
4.18 it can be seen that theF value
is
calculated
17.075 2.67, and the Significant
Value is 0.000 0.05, this shows that
simultaneously the independent
variables affect the dependent variable.
5. Based on the results of the model
summary, the magnitude of R Square is
0.284. This means that 28.4% of the
dependent variable is influenced by the
independent variable and the
remaining 71.6% is influenced by other
factors not examined.
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