Factors That Influence Entrepreneur Success in City of Medan
Selwendri
1
,
Onan Marakali Siregar
1
and Muhammad Arifin Nasution
1
1
Faculty of Social and Political Sciences, University of Sumatera Utara Jl. Dr. Sofyan No. 1
Medan 20155 Indonesia
Keyword: Social Media , Business Opportunity, Entrepreneurship
Abstract: The importance of entrepreneurship in society is not just to make improvements and changes in quality of
life community, but also also proven to play a significant role in realizing the quality of the people and the
nation. This study aims to determine the factors that determine the success of entrepreneurs in entrepreneurs
in the city of Medan. This study uses quantitative research methods through the provision of questionnaires
using predetermined indicator indicators in addition to extracting information through in-depth interviews.
The results of the study show that lifestyle variables influence the success of an entrepreneur. In addition,
lifestyle variables have a significant effect onsuccess variables entrepreneurial. So, the hypothesis is
acceptable, namely the existence of partial lifestyle influences onsuccess intentions entrepreneurial. The
results of partial tests explain that psychological capital variables (X2) have a positive effect. In addition,
psychological capital variables have a significant effect onsuccess variables entrepreneurship. So, the
hypothesis can be accepted, namely the influence of psychological capital partially onsuccess intentions.
entrepreneurialThat individual talent variable (X3) has a positive effect and individual talent variables
influencesuccess. entrepreneurIndividual talent variables have a significant effect onsuccess variables
entrepreneurship. So, hypothesis 3 is acceptable, that is, the influence of individual talents partially on
theintention to succeed entrepreneur's.
1 INTRODUCTION
Entrepreneurship has several important roles in
the economy including creating new jobs,
increasing economic growth and national income,
reducing economic disparities that occur between
high-income and low-income communities,
fostering community independence in the
economic field so that it does not depend on other
parties and foster creativity.
In carrying out entrepreneurial activities,
everyone has the opportunity to entrepreneurship,
but when people do entrepreneurial activities, the
results of entrepreneurial activities between one
another are not necessarily the same, although
using the same techniques in running
entrepreneurial activities, because success in
entrepreneurship is not only determined by
technical factors.
When viewed from age, everyone also has the
potential to become an entrepreneur, both young
and old, can run entrepreneurial activities. There
are some entrepreneurs who start a business at an
age that is mature enough due to a termination of
employment or because they do not have activities
at retirement, so they start running entrepreneurial
activities. Although the best age in starting
entrepreneurship is from a young age where at a
young age the ability to learn, have new creative
ideas and keep abreast of information technology
are on the cusp, besides at a young age the risk is
smaller if there are obstacles in entrepreneurship
because they are still not married or young families
with small children
In recent years there has been an increase in
public interest in entrepreneurship in North
Sumatra Province, this is proven by recording
where there is an increase in the number of people
working as entrepreneurs. The results of the 2016
economic census carried out by the North Sumatra
(North Sumatra) Central Statistics Agency (BPS)
said the number of businesses grew by 11.5% or
12,000 businesses from the previous amount of
1.06 million to
1.18 million businesses. This
growth occurs within 10 years.
From the data collection, it can be seen that the
most dominant business is the trade sector
business with a total of almost 47.20% of the total
business. This development is supported by the
development of population and the growth of
Selwendri, ., Siregar, O. and Nasution, M.
Factors That Influence Entrepreneur Success in City of Medan.
DOI: 10.5220/0010104318571860
In Proceedings of the International Conference of Science, Technology, Engineering, Environmental and Ramification Researches (ICOSTEERR 2018) - Research in Industry 4.0, pages
1857-1860
ISBN: 978-989-758-449-7
Copyright
c
2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
1857
modern businesses such asbusinesses online. "
Online business has contributed to the increase in
economic activity in Indonesia in
recent years. As
many as 1.16 million businesses or 98.55% are
small-scale micro- enterprises (MSEs) and 17,120
(1.45%) are medium-sized business enterprises
(UMB). In line with the distribution of the number
of businesses, the labor distribution map
illustrates the same thing. From the trade business
category, the processing industry, the provision of
accommodation, as well as food and beverages,
became a place of livelihood of two-thirds of the
total workforce in North Sumatra which amounted
to 2.1 million people. While other business
categories each only contribute under 10%.
Meanwhile for the City of Medan according to
the status of the main job as a young entrepreneur
or self-employed experienced an increase with the
number 1,026 (16.64%) in February 2016 to 1,069
(17.1%) in February 2017. While the number and
percentage of the population of Medan City by
status the main job as a worker / employee /
employee decreased with a total of 2,371
(38.45%) in February 2016 to 2,230 (35.48%) in
February
2016.
Phenomenon of the increasing presence of
young entrepreneurs also increases the number of
business professions in general. Various factors
that influence entrepreneurial intelligence provide
knowledge for entrepreneurs such as lifestyle,
psychological capital and individual talents. These
factors are factors that determine a person's
success in work as an entrepreneur. Therefore,
these factors become the focus in this research
proposal.
Based on the background described, the
formulation of the problem in this study is
whether the factors that influence the success of
entrepreneurs in Medan city, then the
identification of the problem in this research is
does lifestyle have a significant positive effect on
the success of the entrepreneur,does psychological
capital have a significant positive effect onsuccess
entrepreneur, do individual talents have a
significant positive effect on success entrepreneur,
how do you influence the contribution of lifestyle,
psychological capital and individual talents
tosuccess entrepreneurial?
2 RESEARCH METHODS
Population in this study were entrepreneurs in
Medan City who were members of KADIN and
HIPMI, North Sumatra which numbered around
150 people.
Sekaran (2006) quoted from Roscoe (1975)
The sample size that is feasible in the study is
between 30 to 500. If the research will do
multivariate analysis (multiple correlations or
regression), the number of sample members is at
least 10 times the number of variables examined.
The dependent and free variables in this study
were 4 (four) so that 10 x 4 = 40. Based on the
above explanation, the minimum number of
samples used in this study were 40 people. To
facilitate calculation, the researcher took a sample
of 50 respondents.
In this study the authors used two data
collection techniques, namely:
1.
Primary data
collection technique primary data used in this
research is data obtained directly from
respondents using a questionnaire.
2.
Secondary Data Secondary
data collection techniques used in this study
are:
a.
Literature Study
Collection of data obtained from books,
scientific works and opinions of experts
who are competent and have relevance
to the phenomenon to be studied.
b.
Documentation Study
Data collection using written notes or
documents, drawings, or other objects
related to the phenomenon under study.
2.1 Test Methods for Test Instruments
Validity and Reliability conducted to test whether
the questionnaires distributed were appropriate to
be used as research instruments. Validity and
Reliability Tests were conducted on respondents.
This is done so that the data obtained is valid and
reliable. Classical Assumption Test The classical
Assumption requirements must be fulfilled by
multiple regression models before the data is
analyzed are as follows:
1.
Normality
Test Normality Test aims to test whether in the
regression model, dependent variable,
independent variable, or both have normal
distribution or not.
2.
Test Heteroskidastity
heteroskedastisitas test aims to test whether
there is inequality in the regression model
varian of the residuals of the observations
to other observations. If the variance from
ICOSTEERR 2018 - International Conference of Science, Technology, Engineering, Environmental and Ramification Researches
1858
residual one observation to another
observation is fixed then it is called
homoskedasticity and if a different variant is
called heteroscedasticity. Multicollinearity
Test This test is used to test whether the
regression model found correlation between
independent variables. If there is a
correlation between independent variables,
it can be said that there is a problem of
multicollinearity. A good regression model
should not have a correlation between
independent variables. Multicolinearity test
uses thecriterion Variance Inflation Factor
(VIF)with the provisions:
a.
If VIF> 10 there is a serious problem of
multicollinability.
b.
If VIF is <10, there is no serious
multicollinability problem.
2.2 Multiple Linear Regression
Analysis
Regression Analysis is used to analyze whether
independent variables (lifestyle, psychological
capital, and individual talents) together influence
the dependent variable, namely success
entrepreneur. The equation model used in this
study is:
Y = a + b
1
X
1
+ b
2
X
2
+ b
3
X
3
+ e
2.3 Testing
Hypothesis
After the regression model meets classical
assumption requirements, it will be used to analyze
regression through testing the hypothesis as
follows:
1.
Partial Significance Test (Test -t)
This test is conducted to find out how far the
influence of one independent variable
partially (individually) explains the variation
of the dependent variable. The basis for
decision making for partial t test in regression
analysis is as follows:
a.
Based on the value of t count and t table
1.
If the value of t arithmetic> t table,
the independent variable affects the
dependent variable.
2.
If the value of t arithmetic < t
table, then the independent variable
has no effect on dependent variable
b.
Based on the significance value of the
output on software statistical
1.
if the value of sig. < 0.05, the
independent variable has a
significant effect on the dependent
variable
2.
if the sig value. > 0.05, no significant
effect of independent variables on
the dependent variable
3.
H
0 is
rejected if
t
< t
table
at α = 5%
H
a
accepted if
t >
t
table
at α = 5%
2.
Significant Simultaneous Test (Test F)
Kuncoro (2013 : 219) argues that F statistical test
basically shows whether all independent variables
included in the model have the same effect on the
dependent variable. Simultaneous testing (Test-F)
is done to see the effect of independent variables
(lifestyle, psychological capital and individual
talents) on the dependent variable
(success
entrepreneurial) together.
2.4
The Determination
Coefficient
Kuncoro(2013: 246) argues that the coefficient of
determination (R
2
) essentially
measures how
much the ability of the model in explaining the
dependent variable. If R
2
gets bigger (close to
one), then it can be said that the influence of
the independent
variable (X
1
, X
2,
X
3
) is large
on the dependent variable (Y). This means that
the model used is stronger to explain the effect of
the independent variables studied on the
dependent variable. Unfortunately if R
2
gets
smaller (near zero), then it can be said that
the
effect of independent variables (X
1
, X
2,
X
3
) on
the dependent variable (Y) is getting smaller.
This explains the effect of the independent
variables studied on the dependent variable.
3 RESEARCH RESULTS
Simultaneous test results explain that lifestyle
variables (X1), psychological capital (X2), and
individual talents (X3) have a positive and
significant effect on the calculated f value
(28,631)> f table (2,81) which means variable
variables lifestyle (X1), psychological capital
(X2), and individual talents (X3) affect the
success of entrepreneurs. In addition, based on
the significance value that the sig value is. (0.00)
<0.05, the variables of lifestyle (X1),
psychological capital (X2), and individual
talents (X3) have a significant effect on the
success variable of entrepreneurs. So, hypothesis
4 is acceptable, namely the influence of lifestyle
Factors That Influence Entrepreneur Success in City of Medan
1859
variables (X1), psychological capital (X2), and
individual talents (X3) simultaneously on
entrepreneurial success intentions. The results of
this study support the previous research
conducted by Frese (2014) with the title "The
Psychology of Entrepreneurship" which gets
results that variable lifestyle, psychological
capital and individual talents partially and
simultaneously have a positive and significant
effect on the success of entrepreneurs. Based on
the distribution of respondents 'answers related
to the success of the entrepreneur (Y) there is an
accumulation of respondents' answers of positive
value (strongly agree) as much as 84% in the
distribution of answers that state that "I make
customer loyalty an important thing in doing
business". The results of this study support the
theory by Soetadi who states that successful
entrepreneurs must have a strong belief that
wherever their business is, they are able to run
and always have confidence that the business
will succeed. In addition, based on the
distribution of respondents 'answers related to
the success of the entrepreneur (Y) there is an
accumulation of respondents' answers with a
negative value (disagree) as much as 12% in the
distribution of answers that stated prioritizing
creativity and innovation in doing business.
4 CONCLUSIONS
Based on the results of the study and discussion, it
can be concluded as follows:
1.
The partial test results explain that lifestyle
variables (X1) have a positive and significant
effect on the value of t count (3.859)> t table
(1.665) which means that lifestyle variables
affectsuccess entrepreneur. In addition, based
on the significance value that the sig value is.
(0.00) <0.05, the lifestyle variable has
a
significant effect on the success of
thevariable entrepreneur. So, hypothesis 1 is
acceptable, namely the existence of a partial
lifestyle influence onsuccess
intentions
entrepreneurial.
2.
The partial test results explain that the
variable psychological capital (X2) has a
positive and significant effect on the value of
t count (3.859)> t table (1.665), which means
that the variables of psychological capital
affect the success of entrepreneurs. In
addition, based on the significance value that
the sig value is. (0.00) <0.05, the
psychological capital variable has a
significant effect on the success variable of
entrepreneurs. So, hypothesis 2 is acceptable,
namely the influence of psychological capital
partially onsuccess intentions entrepreneurial.
3.
The partial test results explain that individual
talent variables (X3) have a positive and
significant effect on the value of t count
(3.859)> t table (1.665), which means that
individual talent variables affect the success
of entrepreneurs. In addition, based on the
significance value that the sig value is. (0.00)
<0.05, the individual talent variables have a
significant effect on the success variable of
entrepreneurs. So, hypothesis 3 is acceptable,
namely the influence of individual talents
partially onsuccess intentions entrepreneurial.
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