Exploration of the need analysis for technopreneurship scientific learning models in higher vocational education

Hidayat, Hendra; Ardi, Zadrian; Yuliana, N.A.; Herawati, Susi

doi:10.1504/ijebr.2019.102733

Cited by 18 publications

(13 citation statements)

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“…Processing data from each criterion using AHP produces information that is then presented in a website-based computer application, which aims to be more effective [36,37]. So AHP learning in this learning, besides producing data calculation results [38,39], also produces a product in the form of a scholarship management application that provides more value, this learning outcome is in line with the demands of learning in technical education [40], which is product-oriented has the commercial potential [41].…”

Section: Discussionmentioning

confidence: 99%

Designing Website-Based Scholarship Management Application for Teaching of Analytical Hierarchy Process (AHP) in Decision Support Systems (DSS) Subjects

Tasrif

Saputra

Kurniadi

et al. 2021

Int. J. Interact. Mob. Technol.

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Teaching Analytical Hierarchy Process (AHP) in Decision Support Systems (DSS) subjects encourages students to know how a good decision is taken. AHP itself in the field of education and teaching has been widely used as an effective and efficient method in solving educational problems. The purpose of this paper is to designing website-based scholarship management application for teaching of Analytical Hierarchy Process (AHP) in Decision Support Systems (DSS) subjects. Scholarship management using AHP is choosing the right criteria is very important. This system uses 5 criteria, namely academic value, academic achievement, non-academic achievement, parents 'income, and parents' dependents, as a basis for producing decision-supporting information. The scholarship management system is embodied in a website-based computer application. Utilizing this application provides more assistance to donors, so that the results of this learning are not only proven in theory but also in practice in real conditions. In addition, the Website-Based Scholarship Management Application can be run on a mobile basis and can be accessed wherever and whenever they are.

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Section: Discussionmentioning

confidence: 99%

Designing Website-Based Scholarship Management Application for Teaching of Analytical Hierarchy Process (AHP) in Decision Support Systems (DSS) Subjects

Tasrif

Saputra

Kurniadi

et al. 2021

Int. J. Interact. Mob. Technol.

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“…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;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).…”

Section: Resultsmentioning

confidence: 99%

The empirical analysis of production-based entrepreneurship training model, readiness and locus of control towards students entrepreneurship self efficacy

Ganefri

Hidayat

Yulastri

et al. 2021

IJRICE

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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

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“…Furthermore, this training model, similar to a Learning Model, aims to improve students' ability to carry out entrepreneurial activities [17,38,39]. The training and learning model is also expected to positively impact students' entrepreneurial interest, entrepreneurial character, and entrepreneurial readiness [40][41][42] Training can be run in nine phases. Smart Entrepreneur Model is worth using as a guideline by a university that sets up a program to produce graduates who can develop themselves to be independent entrepreneurs in the advancement of technology and globalization according to their psychometric index.…”

Section: ) Component Transformation Matrixmentioning

confidence: 99%

The Validation of Smart Entrepreneur Model (SEM) for Student Using Exploratory Factor Analysis (EFA)

Yulastri¹,

Dewi²,

Hidayat³

et al. 2021

Int. J. Adv. Sci. Eng. Inf. Technol.

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The entrepreneurial student program reflects the Indonesian government's growing emphasis on the necessity of developing entrepreneurship skills and mindsets among university students. However, a method for implementing this program has not been thoroughly defined. This research aims to examine the validity of the Smart Entrepreneur Model (SEM) construct using Exploratory Factor Analysis (EFA). A research and development approach were used. It was divided into three stages. This study aims to describe the outcome of the second step, which is the statistical analysis test with EFA. It summarizes the findings of an examination of the SEM construct. The model's construction consists of nine phases: 1) Training Program Preparation, 2) Psychometric Test (pretest), 3) Determination of Mentor Selection Participants, 4) Training, 5) Project Work, 6) Project Monitoring, 7) Seminar and Report, 8) Psychometric Tests (Posttest), and 9) Project Evaluation. EFA was performed to analyze construct validity with the aid of IBM SPSS Amos 20. This construct validity test was performed on 72 randomly selected students who participated in a SEM course. They were asked to complete a questionnaire. The EFA results are valid. In fact, of the nine phases studied, there is only one with an Eigenvalue greater than one. In terms of phase development in this training model experiment, it is possible to infer that the 9 phases examined have created a unified model. As a result, the SEM entrepreneurship training approach is valid.

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Exploration of the need analysis for technopreneurship scientific learning models in higher vocational education

Cited by 18 publications

References 0 publications

Designing Website-Based Scholarship Management Application for Teaching of Analytical Hierarchy Process (AHP) in Decision Support Systems (DSS) Subjects

Designing Website-Based Scholarship Management Application for Teaching of Analytical Hierarchy Process (AHP) in Decision Support Systems (DSS) Subjects

The empirical analysis of production-based entrepreneurship training model, readiness and locus of control towards students entrepreneurship self efficacy

The Validation of Smart Entrepreneur Model (SEM) for Student Using Exploratory Factor Analysis (EFA)

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