Actors’ Readiness Level in Industrial Revolution towards
Competitiveness using Canonical Analysis
Fivi Rahmatus Sofiyah, Yulinda, and Yetti Meliani
Department of Economic, Universitas Sumatera Utara, JL. Prof. T. M. Hanafiah, Medan, Indonesia
Keywords: Industrial, Revolution, Competitiveness, Industry, Medan
Abstract: This paper is aimed to analyze the readiness level in industrial with a case study: Medan Actors of Industrial.
The problem in this research is to analyze the elements of its aspect in getting the innovation. The data used
is primary data that have been obtained through 50 ones. Canonical Analysis is used to measure which core
variable indicated. From the results of this study that the market education for technology as well as regular
coaching that will make the industry more competitive in industrial revolution.
1 INTRODUCTION
Medan has the economic growth by 5.92% in 2018.
The three business fields that gave a dominant role to
the GRDP namely large and retail trade and repair of
cars and motorbikes at 24.96%, construction at
19.32%, and processing industries at 14.61%. For the
industry as the MSMEs actors become popular in
making the forum to empower the business
(https://medankota.bps.go.id, 2017)
MSMEs gets the progress in mindset training is
giving the empowerment, then the best mark attitudes
can create the get the result in private sector in the
financial technology to run the sustainable effort
(Syarifah & Putra, 2017).
Medan had many business actors to make the
business progress for making the creativity in
improving it. It had made the gathering to make the
best result for its economic growth that combined the
business one to make the good business education in
running the best one.
Business education can make the good midset
and research culture. It has made the newest idea to
make the best result in economic step and get many
results for civilizations. The community will be got
into the qualified product with the best one (Bati,et al,
2018).
As the good strategy in business development, it
make the local area power. It will be make only to
consume but also earn the product on the hobby
ability. They will get its best abilty in technology in
getting the youngsteers.
A good empowerment in getting in the young
generation will make the best innovation. It will
present with the solution in social media such as
instragram, facebook that can result them in the
selling performance for the financial strength
(Malawat & Putra, 2019).
Based on data explained with the business in
Sumatera Utara, researchers focus in making the the
research the gapura digital community which
implemented the its community for the best result in
empowering with the title " Actors’ Readiness Level
In Industrial Revolution Towards Competitiveness
Using Canonical Analysis ". The main issues that will
be analyzed are the extent to which the Gapura Digital
Medan Program to create business development or
income for its MSMEs member through instagram,
facebook and twitter as the e-commerce approacment.
2 LITERATURE REVIEW
2.1 E-Commerce Approach
The level of risk of work in the MSMEs is greater
than other industries which require employees to have
a high focus of their safety and need to make their
own stategy in business (Siagian & Putra, 2019).
The growth of MSMEs in the past monetary
crisis, has no effect of large ones especially about
exports focus. They get difficulty in competing in
reasonable economic conditions. It can be seen from
2007 to 2011 although there is an increase of export
Sofiyah, F., Yulinda, . and Meliani, Y.
Actors’ Readiness Level in Industrial Revolution towards Competitiveness using Canonical Analysis.
DOI: 10.5220/0009197700150019
In Proceedings of the 2nd Economics and Business International Conference (EBIC 2019) - Economics and Business in Industrial Revolution 4.0, pages 15-19
ISBN: 978-989-758-498-5
Copyright
c
2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
15
amount is less result, They are important to face the
business level of the development in facing the
globalization era (Dilham & Putra, 2017).
Business ethics is necessary in getting many
customers. They will give the business result to as
the need for a best based on Research and
Development (R & D) program continuously so that
it can develop well in running the community (
Wahyuni & Putra, 2017).
There is a probabilty for human capital has a
significant factor the make the best target in
corporation. It is important to map the feasibility
study in order to be suitable in making their business
impact (Malawat & Putra, 2018).
2.2 Business Development
Realizing the best target of the company that can be
connected with the local people who later also
improved to the location prosperity. The main focus
is to make the MSMEs elements to improve the
process of community approachment (Putra & Ami,
2017).
It can improve a social economic condition that
can empower the region strength. With the
information obtained programmatically, that some
things for socioeconomic mapping has decision-
programmed with the structure of society (Dilham &
Putra, 2016).
The creative business start ups are necessary in
making the best capacity in making the economic
growth. The action in mapping the research and
development (R&D) about creating the new product,
will improve the employment productivity during the
best movement the newest firms in the local area
(Stam & Wennberg, 2009).
A strategy for making the best workforce to drive
best target for the corporates has become a best
activity. Firms will make the breakthrough
approachment. Human capital feasibilty mapping
programmes not only getting the best business targets
but the best result for the sustainable action (Maran,
et al, 2009).
3 METHOD
This research happened in Medan City by using the
population from Gapura Digital business forum who
have the willingness to conduct it for Revolution
Industry by purposive sampling of 50 samples
conducted from January to April 2019 based on the
activity made. For data analysis techniques requires
understanding of linear combinations are called
canonical variables because the dependent variables
are more than one and require understanding the
correlation value is called a canonical correlation.
The assumptions in Canonical Correlation, such
as :
There is a linear relationship and correlation
between the dependent ones to the independent
ones.
The need for multivariate normality to test the
significance of every canonical function.
There is no multicollenearity between the
members of the dependent variable group against
the independent variables.
The variables taken are
Independent variables represents instagram,
facebook, twiter
The dependent variable is a value depends on the
change in the value of buisness development and
income
The Pattern shows
Business
Development +
Income
= Instagram +
Facebook
+ Twitter
Metric Metric
4 RESULTS AND DISCUSSION
4.1 Descriptive Analysis
Gapura Digital Medan has the Program that supports
MSMES to advance business through digital. There
is a complete range of topics ranging from digital
trends, building business portals to SEO / SEM. We
can choose the desired topic or follow all the classes
to get a certificate from Google. There are free classes
that we can take with various topics to get to know
more about how to build a business digitally. These
classes are divided into three categories from digital
ready, digital reliable and digital professional. List the
class in the city we want
(https://gapuradigital.withgoogle.com/workshops/me
dan, 2019)
4.2 Quantitative Analysis through
Canonical Analysis
Because there are two dependent ones and three
independent ones, then if the smallest number is taken
the smallest one. Thus, two Canonical Functions will
be formed, namely:
EBIC 2019 - Economics and Business International Conference 2019
16
Eigenvalues and Canonical Correlations
Root No. Eigenvalue Pct. Cum. Pct. Canon
Cor. Sq. Cor
1 4.40602 99.23085 99.23085 .90279 .81502
2 .03415 .76915 100.00000 .18172 .03302
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - -
Dimension Reduction Analysis
Roots L. F Hypoth. DF Error DF Sig. of F
1 TO 2 .17887 20.46680 6.00 90.00 000
2 TO 2 .96698 .78549 2.00 46.00 .462
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- -
- - - - - - - - - - - - - - - - -
Two Canonical Functions are seen in the Root No
section, with canonical correlation numbers (Canon
Cor) for Function 1 is 0.90279 and Function 2 is
0.18172. It has been seen in the Sig. of F which tests
the significance of Canonical Function, seen for
function 1 is significant number 0,000, while for
function 2 is significant number is 0.462.
From these results, They can be seen that the
significant number function 1 is more than 0.05,
function 1 is significant individually and can be
processed next. For function 2, the input number is
less than 0.05 then function 2 is not able to be
processed further individually.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - -
Multivariate Tests of Significance (S=2, M=0, N=21 1/2)
Test Name Value Approx. F Hypoth. DF Error DF Sig.
of F
Pillais .84804 11.28807 6.00 92.00
.000
Hotellings 4.44017 32.56123 6.00 88.00
.000
Wilks .17887 20.46680 6.00 90.00
.000
Roys .81502
Note.. F statistic for WILKS' Lambda is exact.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - -
If they are tested together with the test name:
Pillais, Hotellings and Wilks for the Sig. of F for all
three procedures all under 0.05, namely 0.00, 0.00
and 0.00. Thus, the canonical function 1 and
canonical function 2 are significant and can be
processed further. There is a difference between
individual and collective testing. It can be seen in the
figures of Canonical Correlation that have
Eigenvalues and their tables, with numbers:
1. Canonical Correlation function 1 is 0.90279
2. Canonical Correlation function 2 is 0.18172
With a limit of 0.5 for the two-variable correlation
strengths, function 2 has a low canonical correlation,
so that it can be issued for further analysis. Thus, only
function 1 will be analyzed further, because besides
being individually and jointly significant, it also has
a high canonical correlation rate.
4.3 Canonical Variates Interpretation
Canonical variates is a collection of several ones that
make up a variat. In this case there are 3 canonical
variates namely dependent variate namely Business
Development and Operating Income. Then, They
have for the independent ones such as instragram,
facebook and twitter. They can be measured in two
ways:
1. Canonical Wights
For Dependent Variates:
- - - - - - - - - - - - - - - - - - - -
standardized canonical coefficients for dependent variables
function no.
Variable 1 2
business_dev .69408 -3.42658
income .31501 3.48195
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - - - - -
For Independen ones
Raw canonical coefficients for COVARIATES
Function No.
COVARIATE 1 2
instagram .27050 1.07419
facebook .05668 -1.34604
twitter .09553 .12639
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - -
Standardized canonical coefficients for
COVARIATES CAN. VAR.
COVARIATE 1 2
instagram .66036 2.62235
facebook .12731 -3.02344
twitter .22448 .29699
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - -
Actors’ Readiness Level in Industrial Revolution towards Competitiveness using Canonical Analysis
17
Regardless of function 2 (the second column of
numbers), we can see a row of correlation numbers
between each variable. Two correlation numbers are
the same high, because above 0.5 that is 0.69408 and
0.31501. The independent ones (covariates),
correlation numbers above 0.5 are only X1, namely
instagram.
2. Canonical Loadings
For dependent variates:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - -
Standardized discriminant function coefficients Function
No.
Variable 1
business_dev 1.47354
income -.70392
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
For Independent Variabel
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - - - - - - - - -
Correlations between COVARIATES and canonical
variables CAN. VAR.
Covariate 1 2
instagram .99604 .06547
facebook .96018 -.27743
twitter .98009 -.03526
- - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - -
- - - - - - - - - - - - - - - - - - - - - - -
Not paying attention to function 2 (second digit
column), we can see a number of canonical loadings
between each variable with a function. For dependent
variables, a number of canonical loadings is business
development as well as for the independent one, the
correlation number above 0.5 is suitable for all such
as instagram, facebook and twitter.
4.4 Discussion
From the output of canonical weight or canonical
loading, we can analyze that:
1. There is a significant relationship between
dependent variables with independent variates or
Business Development. The main focus is to make
the Gapura Digital Medan elements to improve
with the information obtained programmatically.
The creative business forums are necessary in
making the best capacity. They will make the
breakthrough approachment for their
developments. The idea is suitable for (Putra &
Ami, 2017), (Dilham & Putra, 2016), (Stam &
Wennberg, 2009), (Maran, et al, 2009).
2. The 3 independent tend to the most closely related
among instagram, facebook and twitter.
A positive sign on indicates that the young
entrepenerus in Gapura Digital-assisted
companies are getting good e-commerce approach
in the opinion of (Siagian & Putra, 2019),
(Dilham & Putra, 2017), ( Wahyuni & Putra,
2017), (Malawat & Putra, 2018)
5 CONCLUSIONS
It can be decided that :
1. Gapura Digital Medan is MSMEs - assisted
which has the newset idea for e-commerce
innovation in coaching.
2. It will make the industry more competitive in
industrial revolution for the business development
as the result in canonical analysis
3. The variables such as instagram facebook and
twitter wil make the signicant factor for increasing
the readiness in industrial revolution 4.0
ACKNOWLEDGEMENTS
This research was fully funded by the research
institute of Universitas Sumatera Utara in accordance
with the contract of Talent Research in the year of
2019 with the number of contract 4167 / UN5.1.R /
PPM / 2017, 1
st
April 2019
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