Entrepreneurial education is a carefully planned process that leads to acquiring entrepreneurial capacity and competence, equipping students with the knowledge, skills, and motivation to drive entrepreneurial success. Many goals are achieved by organizing entrepreneurial education and promoting entrepreneurial orientation. In reality, only a few students choose a career as an entrepreneur, even though they have received an entrepreneurship education. Entrepreneurship orientation is crucial because it shows innovativeness, proactiveness, and risk-taking. This study aimed to examine how entrepreneurship education promotes entrepreneurial orientation. By conducting explanatory research, the researcher intends to investigate entrepreneurship education's effect on medical students' entrepreneurial orientation. The research was conducted on medical students who took the entrepreneurial block, with the number of respondents as many as 113 students, where data collection was conducted with questionnaires. The results were obtained that entrepreneurial education can promote entrepreneurial orientation in medical students. Entrepreneurs who have an entrepreneurial orientation will be able to identify new opportunities, create tangible and intangible resources for innovation, and opportunities to launch innovative products. It must be supported by entrepreneurship education in which the quality of the application of standards, curriculum, and learning methods can promote student entrepreneurial orientation and assess entrepreneurial activities.
The existence of Small and Medium Enterprises (UKM) in the Indonesian economy has a big role and potential in developing the national and sectoral economy absorbing a large number of workers. The development of UKM in the university environment is one of the responsibilities of the university and is a necessity to involve universities as a driving force for the emergence of young entrepreneurs in the campus environment. The Muhammadiyah University of North Sumatra has formed a special institution that deals with student entrepreneurship issues, namely PUSKIIBI (Center for Entrepreneurship Innovation and Business Incubator). The research was conducted using the independent interview method, collecting institutional documents and institutional policies, and information related to student activities. From the data set and information, the formulation is carried out. Model of Institutional Synergy in Student Entrepreneurship Development at UMSU. This study aims to determine what institutions and the involvement of these institutions in supporting the progress of entrepreneurship in umsu and to create a model of institutional synergy that directly or indirectly synergizes with Puskiibi. From the research results obtained 1) the role of puskiibi as incubator is, access to community and business networking, support from experienced mentors, validation of ideas, infrastructure assistance, access to investors. 2) Related institutions that support the success of student entrepreneurship are SRCC, Study Programs in UMSU, LP2M, Halal Studies Center, and Haki Center. 3) The synergy model that must be developed is the recruitment of start-up candidates obtained from PKM-K participating students who have been netted by SRCC, student essays with downstream potential and student entrepreneurship independent campus participants obtained from Prodi, research lecturers with industrial potential from LP2M and alumni who come to register directly at PUSKIIBI. Furthermore, PUSKIIBI provides assistance, the certificate is only in synergy with the UMSU Halal Study Center and for the management of Trademarks and Patents through the UMSU HAKI Center.
The state of Indonesia is an agrarian country, most of its livelihoods are farming. In Indonesia, corn is one of the food ingredients that the government recommends because it sees the huge need of rice. The government made efforts to realize the self-sufficiency of corn production in North Sumatra Province. For that Prediction of corn production development is needed to know the expected target is achieved. Corn production prediction is done using linear trend line formula and data taken in the form
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