• Prita PRASETYA Universitas Prasetiya Mulya, Indonesia
  • Sekar Wulan PRASETYANINGTYAS Bina Nusantara University, Indonesia
Keywords: SEM, SSM, Business Research, Statistical, Online Course


Today's business has become something complex. Various factors interact with each other and make business unpredictable. Research is an effort to develop knowledge, develop and test theories. The research objective is an effort to develop knowledge, develop and test the theory. Research activities in practice are likely to include multidisciplinary research and a combination of the application of multiple research methods. In practice, research can be carried out in multi-disciplinary and is a combination of several research methods. The function of research is to find explanations and answers to problems and to provide alternatives to the possibilities that can be used to solve the problem. On that basis, a systematic method is needed in overcoming various problems that arise in the business. The business research method is a systematic method that is useful for researching various aspects related to business. Statistics and research methods training aims to provide a better understanding of business research. The research methods discussed in this training are Structural Equation Modeling (SEM) and Soft System Methodology (SSM). This community service activity produces changes following the set output targets, increasing participant knowledge to help compile business research. The results of the evaluation of the implementation of training in business research methods for students, lecturers, researchers, and practitioners, show that the level of understanding becomes better after attending the training and has the motivation to conduct research with quantitative and qualitative approaches. Participants can also run the SEM LISREL application independently.


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How to Cite
PRASETYA, P., & PRASETYANINGTYAS, S. (2021). LEARNING STATISTICAL METHODES WITH ONLINE ONLINE COURSE. ICCD, 3(1), 312-315. https://doi.org/10.33068/iccd.Vol3.Iss1.368