Ganefri


International Journal of Research in Counseling and Education  
Volume 05  Number 01  2021 

ISSN: Print 1412-9760 – Electronic 2541-5948 
DOI: https://doi.org/10.24036/00434za0002 

 
Received September 16th, 2021; Revised November 3rd, 2021; Accepted November 11th, 2021 

 

   56  

http://ppsfip.ppj.unp.ac.id 
IJRiCE 

 
The empirical analysis of production-based entrepreneurship 
training model, readiness and locus of control towards 
student’s entrepreneurship self efficacy 
 
Ganefri1*, Hendra Hidayat1, Asmar Yulastri1 , Surfa Yondri2 
1Universitas Negeri Padang, Indonesia 
2Electrical Engineering Department, Politeknik Negeri Padang, Indonesia 
*Corresponding author, e-mail: ganefri@unp.ac.id  
 

Abstract 
This research was conducted because the students' self-efficacy in entrepreneurship is still low. 
Production-based entrepreneurship training model, learning readiness is assumed to be a factor that 
affects student entrepreneurship self-efficacy. The purpose of this study was to examine the 
contribution of the production-based entrepreneurship training model, learning readiness, and locus 
of control to student entrepreneurship self-efficacy. This study uses quantitative methods with 
multiple regression. The population is all students who take the general course of entrepreneurship 
in Higher Education as many as 500 people, and a sample of 200 students who are selected using 
proportional stratified random sampling. The questionnaire stands as an effective data collection 
method to examine the variables to be measured and the answers expected by the respondents. The 
questionnaire applied the Likert scale by providing opportunities to answer each item. Data were 
analyzed using multiple regression. The research findings show that there is a joint contribution of the 
production-based entrepreneurship training model, learning readiness, and locus of control to the 
entrepreneurial self-efficacy of students.  

 
Keywords: Production, Readiness, Locus of Control, Engineering Education, Self Efficacy.	 

 
How to Cite: Ganefri, G., Hidayat, H., Yulastri, A., & Yondri, S. (2021).  The empirical analysis of 
production-based entrepreneurship training model, readiness and locus of control towards student’s 
entrepreneurship self efficacy. International Journal of Research in Counseling and Education, 5 (1): 
pp. 56-61, DOI: https://doi.org/10.24036/00434za0002 
 

 
This is an open access article distributed under the Creative Commons 4.0 Attribution License, which permits unrestricted use, distribution, and 
reproduction in any medium, provided the original work is properly cited. ©2021 by author and Universitas Negeri Padang. 

 
Introduction  

Based on statistical data in February 2018, in Indonesia there were 9.5 percent (688,660 people) of the total 
unemployed who were university alumni, including graduates of higher education. They have a three-year 
diploma or a bachelor's degree. Of that number, the highest number of unemployed, 495,143 people, are 
university graduates with a bachelor's degree. Unemployed educated (both diploma and strata 1) increased 
compared to 2013 with the percentage of unemployed college graduates of 8.36 percent (619,288 people) and 
in 2012 of 8.79 percent (645,866 people). This data describes the low self-confidence of college graduate 
students to start entrepreneurship. Some of the causes of this weak condition are due to the lack of 
entrepreneurial training that has occurred so far, which is still oriented to target values, readiness to 
learn/readiness, and resignation to future fate (locus of control). 

The development of awareness and entrepreneurial motives among students is a fundamental need for 
Innovation and Entrepreneurship, achieving improvement in the quality of human resources so that later in 
addition to being born as educated people, they are also independent, tenacious, hard working, never give up, 
responsible, willing to take risks, economically motivated, value time and take advantage of every opportunity, 
productive, creative and innovative. The learning model becomes the main part of a learning process so it is 
very important to do a review in the form of a needs analysis. If you look at the high unemployment rate of 
graduates of higher education, vocational higher education is no exception, it certainly indicates the weakness 
of the learning process that occurs. The direction of needs analysis of the entrepreneurship training model 
allows it to be integrated into entrepreneurship learning in higher education, in teaching and learning 



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International Journal of Research in Counseling and Education, Open Access Journal: http://s.id/ijrice 

entrepreneurship so that students can master entrepreneurship material with the concept of learning by doing 
through a production and technology-based learning approach. Needs analysis is a very important initial stage 
in seeing the needs of a learning model that will be designed, especially a production learning model (Yulastri, 
& Hidayat, 2017). 

The production-based entrepreneurship training model is in line with the production-based learning model 
which provides opportunities for students to develop thinking, and skills as well as collaboration (Wisdom, 
Nurlaela, & Ismawati, 2020). In the learning process using this model, students are expected to be active, for 
example; create important questions related to the product to be made. According to (Ganefri, 2013), 
"production-based learning models are defined as procedures or steps that need to be taken by educators to 
facilitate students to actively learn, participate and interact, with a competency orientation to produce 
products, either goods or services needed. Model Production-based learning is a learning model that provides 
opportunities for students to develop skills in higher vocational education (Hidayat, 2017a; Hidayat, 2017b; 
Hidayat, 2018).This ability is in the form of critical thinking skills, and working together (Nickerson, 2007). 
Perkins & Smith, 1985), is very relevant to the development of learners about the learning experiences they get 
(Gijselaers, 1996), In the learning process with this production-based learning model students are asked to 
actively raise important questions related to the product to be made.  

Production-based learning models consist of syntax or steps in the learning process, which according to 
(Ganefri, 2013; Ganefri et al, 2013; Ganefri, and Hidayat, 2014; 2015; Kusumaningrum et al, 2015) in a learning 
model based on this syntax product or the sequence of steps of the lesson consists of 9 steps: In the learning 
process with this production-based learning model, students are asked to actively raise important questions 
related to the product to be made. Production-based learning models consist of syntax or steps in the learning 
process, which according to (Ganefri, 2013; Ganefri et al, 2013; Ganefri, and Hidayat, 2014; 2015; 
Kusumaningrum et al, 2015) in a learning model based on this syntax product or the sequence of steps of the 
lesson consists of 9 steps: In the learning process with this production-based learning model, students are 
asked to actively raise important questions related to the product to be made. Production-based learning 
models consist of syntax or steps in the learning process, which according to (Ganefri, 2013; Ganefri et al, 2013; 
Ganefri, and Hidayat, 2014; 2015; Kusumaningrum et al, 2015) in a learning model based on this syntax 
product or the sequence of steps of the lesson consists of 9 steps: 1) Analysis of curriculum and characteristics 
of learners; 2) Product identification and analysis; 3) Make important questions about the product; 4) Mapping 
the questions; 5) Analysis of equipment and material requirements of the product to be made; 6) Making a 
schedule for the manufacture of products; 7) Product manufacturing process; 8) Evaluation regularly; and 9) 
Making a Business Plan. 

 
Method 

This research uses correlational type quantitative methods (multiple regression). The instrument used is a 
model scale Likert. The research population in this study was 500 students who took part in Higher Education, 
a sample of 200 people, with 87 males and 113 females, aged 19-20 years, 35 students from electrical 
engineering majors, engineering majors there are 53 electronics majors, 45 mechanical majors, and 67 civil 
engineering majors, and are from the 2019 and 2020 entry years, who were selected using the technique 
proportional stratified random sampling. Furthermore, data was collected by distributing questionnaires to 
obtain information about student entrepreneurship self-efficacy, production-based entrepreneurship training 
models, learning readiness, and locus of control. The questionnaire stands as an effective data collection 
method to examine the variables to be measured and the answers expected by the respondents (Smith, 2019). 
The questionnaire applied the Likert scale by providing opportunities to answer each item (Awang et al., 2016). 
Data collection is carried out in Higher Education with the following procedures: 1) Preparing student 
entrepreneurship self-efficacy, production-based entrepreneurship training models, learning readiness and 
locus of control; 2) Provide an explanation of the instrument and how to fill it out; 3) Distribute instruments 
and invite students to fill them out; 4) Collecting instruments according to the plan. Data were analyzed by 
descriptive statistics that designed to give you information about the distributions of yours variables (Fisher, & 
Marshall, 2009; George, & Mallery, 2016), multiple simple regression that statistical analysis used to determine 
the effect of several independent variables on the dependent variable (Chen, & Chen, 2014; Morrissey, & 
Ruxton, 2018). Data analysis is assisted by using the SPSS program. 
 
Results and Discussion 

Before carrying out the data analysis process, it is necessary to test for normality, linearity, and 
multicollinearity where the results are as follows.     
 



 
International Journal of Research in Counseling and Education, Vol 5 No 1 2021            58 
 

The empirical analysis of production-based entrepreneurship training model, readiness and … 

Table 1. Normality Test 

Variable Sig.(p) Sig. alpha Information 
Students Entrepreneurship Self Efficacy (Y) 0.200  

 
Normal 

Production-Based Entrepreneurship Training Model (X1) 0.200  
0.05 

Normal 

Learning readiness (X2) 0.200  Normal 

Locus of Control (X3) 0.200  Normal 

 
Normality testing is carried out using the method Kolmogorov-Smirnov. If asymp. Sig. or P-value > of 0.05 

(significance level), then the four research variables are distributed normally. 
 

Table 2. Linearity Test 

Variable Significance Level Conclusion 
X1 Y 0.009 Linier 
X2 Y 0.003 Linier 
X3 Y 0.007 Linier 

 
Based on the Table 2, the results show that the relationship between production-based entrepreneurship 

training models and student entrepreneurship self-efficacy is linear, the relationship between learning 
readiness and student entrepreneurship self-efficacy is also linear, and the relationship between locus of 
control and student entrepreneurship self-efficacy is also linear, the meaning of linear is that there is an effect 
of several independent variables on the dependent variable. 

Table 3. Multicollinearity Test 

Variable Tolerance VIF Information 
(Constant)   

There is no multicollinearity 
X1 0.820 1.219 
X2 0.820 1.219 
X3 0.820 1.219 

 
The next test is the multicollinearity test. Based on these results, it can be concluded that there is no 

multicollinearity between the independent variables. Furthermore, the results of hypothesis testing can be 
seen in the following table. 

 
Table 4. The test results of X1 X2, and X3 to Y 

ANOVAa 
Model Sum of Squares Df Mean Square F Sig. 

1 
Regression 1345.863 3 678.562 11.514 0.000a 
Residual 10565.243 197 48.567   
Total 11911.106 200    

a. Dependent Variable: Y 
b. Predictors: (Constant), X3, X2, X1 

 
Table 4 shows the effect of the production-based entrepreneurial training model, readiness, and locus of 

control on student entrepreneurship self-efficacy. From this result the table is statistically significant (Sig = 
0.000). The three independent variables significantly contribute to increasing student entrepreneurship self-
efficacy. 

The results showed that the production-based entrepreneurship training model, learning readiness, and 
locus of control together contributed significantly to student entrepreneurship self-efficacy. The use of 
production-based entrepreneurship training models can increase interest in entrepreneurship and can 
increase student self-efficacy for entrepreneurship (Hikmah, Nurlaela, & Ismawati, 2020). The results of this 
study reveal that the production-based entrepreneurship training model, learning readiness and locus of 
control together can be a factor that have an effect on student self-efficacy in entrepreneurship. The use of the 
production-based entrepreneurship training model will have an impact on increasing student 
entrepreneurship self-efficacy (Brüne, & Lutz, 2020; Wardana, Narmaditya, Wibowo, Mahendra, Harwida, & 



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International Journal of Research in Counseling and Education, Open Access Journal: http://s.id/ijrice 

Rohman, 2020). High confidence in themselves for entrepreneurship in students is predicted by the ability of 
students to condition themselves to be ready for entrepreneurship. Readiness in the sense of being ready 
physically, psychologically, and materially experienced by students themselves and being able to respond to 
all actions in the process of becoming an entrepreneur (Raza, Muffatto, & Saeed, 2019). Students who have 
good learning readiness will tend to be trained to do something if they are given exercises about what they 
have learned. If they are trained to use production-based entrepreneurship training strategies that have been 
taught, it tends to affect their self-efficacy (Mukesh, Pillai, & Mamman, 2020). This causes a pattern of formation 
readiness which is different for each individual. So as readiness in learning is very influential on a person's 
personal development to mature his willingness to learn so that a person will be easy and ready to accept 
something that will be learned in the learning itself (Hidayat, Tamin, Herawati, Khairul, & Syahmaidi, 2019). 

Furthermore, the production-based entrepreneurship training model contributes to student 
entrepreneurship self-efficacy. The activeness of students in conducting training activities in the form of 
finding problems, analyzing needs, and analyzing learning, is predicted to be able to increase the 
entrepreneurial self-efficacy of students (Kisubi, Korir, & Bonuke, 2021). The production-based 
entrepreneurship training model helps students regulate or monitor cognitive, planned, intentional, goal-
directed thinking ideas, and mental processing oriented to the belief that they will succeed in the future (To, 
Martínez, Orero-Blat, & Chau, 2020). Students who know themselves well will be able to control themselves 
well, because knowing themselves will improve their learning outcomes. Student with internal locus of control 
have characteristics like to work hard, always think effectively and have the perception that if you want to 
succeed, you have to try (DeAngelis, Escobar, Ruiz, & Acevedo, 2019). Students who have the belief that they 
participate in influencing all the results achieved in their lives, of course also have the power to solve learning 
problems. In contrast to students who tend to external locus of control. When faced with problems, he tends 
to give up and rely on fate. 

The production-based entrepreneurship training model is a procedure that helps students to understand 
and find problems and find solutions to these problems (Hidayat, & Yuliana, 2018; Hidayat et al., 2018; Hidayat 
et al., 2019; Kusumaningrum, & Hidayat, 2016; Ganefri  et al., 2020; Yulastri et al., 2021), especially in learning 
in engineering and vocational education (Hidayat, Ardi, Yuliana & Herawati, 2019; Tasrif et al., 2021; Hidayat 
et al., 2021). Furthermore, the production-based entrepreneurship training model will be more effective if the 
individual tends to have high readiness and locus of control in being successful in starting a business(Asante, 
2003). & Affum-Osei, 2019; Chernyshenko, Ho, Chan, & Yu, 2020; Horng, Hsiao, LiuChou, & Chung, ; 2020; 
Hidayah, 2020; Fisch, Franken, & Thurik, 2021). 

Conclusion 

Based on the findings and discussion of the research results, it can be concluded that the production-based 
entrepreneurship training model, learning readiness and locus of control jointly contribute significantly to 
student entrepreneurship self-efficacy. Production-based entrepreneurship training model, learning readiness 
and locus of control has a significant impact on student entrepreneurship self-efficacy. That is, the high and 
low self-efficacy of student entrepreneurship is not only influenced by one variable but is jointly influenced by 
the production-based entrepreneurship training model, learning readiness and locus of control. Furthermore, 
the recommendations of this study are based on the results of the research, discussion, and conclusions that 
have been stated previously, so for lecturers and instructors to be able to apply the production-based 
entrepreneurship model, because it is a good alternative in developing student entrepreneurial competencies. 

Acknowledgment  

Thank you for the support and cooperation of all parties so that the implementation of this simple research 
can be carried out properly and can complete this paper. Furthermore, the highest gratitude and appreciation 
to the DRPM/BRIN through funding in 2021. This paper is part and output of research in 2021, with a contract: 
B/112/E3/RA.00/2021.  

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