The coefficient of mc fadden determination (R
2
)
is used in the rate of 0.930000 or 93 % to analyze how
many contributions of independent variable such as
training, capital, tour study and marketing can
simultaneously explain dependent variable that is
MSMEs then 7 % is explained other variable which
can be added later.
4.3 Discussion
According to the descriptive and quantitative result in
the year 2013 until 2017, it can be said that there are
two variables that give the significant factors for
increasing the MSMEs Income such as :
1. Training. The average of the KLIBI MSMEs
income is giving the duration from 8 until 10
times as the education target for entrepreneurs for
getting the soft as well as hard skill to make them
high focus of their safety and need to compete
each other. As the business factor, The R&D must
be the real target to improve the business etichs in
getting the market share and feasibility target. The
contidition of this variable is similar to the
empirical theory of (Siagian & Putra, 2019),
(Dilham & Putra, 2017), (Dilham & Putra, 2017),
(Malawat & Putra, 2018).
2. Marketing. The best target of the company that
can be joined with location empowerment. In
getting the mind of market in community must be
related to the good marketing strategy. Social
economic condition can increase in the
employment productivity during the penetration
its capacity. The strength in human capital in
getting the market knowledge can be gained with
the duration of 4 until 7 times as the marketing
strategy in exibition around inner or outer Tebing
Tinggi with the best innovative product. The idea
of reasearch is the same as (Putra & Ami, 2017),
(Dilham & Putra, 2016), (Stam & Wennberg,
2009), (Maran, et al, 2009).
However, in the research, there are two
insignificant variables that must be improve as the
business and location factor, such as:
1. Capital. It is one of the insignicant one that must
be focused in getting in the level industries so that
it requires employees in Tebing Tinggi. The
donation got from the Trade Service Officer In
Tebing Tinggi. It can give around 8 until 10
Millions Rupiahs. The entrepreneurs don’t need it
anymore because they can manage their company
professionally. It is one of their strategy to get the
high penetration of business, but they can allocate
it well because they need the coaching as business
education. It can make the good character of their
location empowerment. A good approachment in
coaching them will make the area contribution for
economic development. The analysis is similar to
the idea of (Siagian & Putra, 2019), (Syarifah &
Putra, 2017), (Bati,et al, 2018), (Malawat & Putra,
2019).
2. Tour Study. Realizing for the best community in
one of the area must be done the inspiration
business for the best one to arrange it. As the The
role of academic role to run it, it can offer the
company to give the education directly through
road show in all over areas. the Faculty of
Economics and Business, University of Sumatra
in 2013 gives the business connection tour
duration from 2 until 8 times to visit some
innovative home industry in Medan. The random
frequency must be improved for the next program
so that it can give the best effect in market
contribution. The concept of research is the same
as (Putra & Ami, 2017), (Dilham & Putra, 2016),
(Stam & Wennberg, 2009), (Maran, et al, 2009).
5 CONCLUSIONS
Based on the discussion, it can be concluded that :
1. KLIBI Tebing Tinggi is an entrepreneurship
coaching clinic as a solution for the problem for
getting the income probability for its member as
many as 100 for the assiting focus.
2. There are two significant factors that can improve
the income probability for its member such as
training and marketing throuh exhibition.
3. For the insignificant factors for increasing the
income probability such as capital and tour study.
4. The probit model shows that the goodness of fit
gives the high probability for all varibles such as
training, marketing, capital and tour study.
5. The contribution of independent ones can
influence dependent one with the highest range
untul 93%.
6. Its progress from 2013 to 2017 can increase high
income probablity for MSMEs as the focus in
business factor and location empowerment.
ACKNOWLEDGEMENTS
The authors gratefully acknowledge that the research
is a Beginner Lecturer Research scheme funded by
the Directorate of Research and Community Service,
Directorate General of Strengthening Research and
Development of the Ministry of Research,