Completely analyze thesis data processing with Smart PLS
The Sharia Banking Study Program FEB UIN Jakarta held a workshop with the theme "Completely Processing Thesis Data with Smart PLS". This activity involving the Educational Laboratory Center of the Faculty of Economics and Business was held on Tuesday, May 21 2024 at the FEB UIN Jakarta Computer Laboratory. This activity was attended and opened by Prof. Dr. Ibnu Qizam, SE., M.Si., Ak., CA. as Dean of FEB UIN Jakarta, Dr. Yuke Rahmawati, M.A. Head of the Sharia Banking Study Program FEB UIN Jakarta, Cut Erika Ananda Fatimah, S.E., M.B.A. Head of the FEB UIN Jakarta Laboratory and FEB UIN Jakarta Lecturers.
In his speech, the Dean really appreciated the enthusiastic students who came and filled the Laboratory room and the Dean hoped that the workshop participants, who were dominated by the Sharia Banking study program, could understand the use of Smart PLS as a data analysis tool, including how to import data and interpret the results, and could increase capacity and capability. students especially in the Sharia Banking industry.
This workshop presented resource persons from the Faculty of Economics and Business, Airlangga University, Surabaya, Dr. Imron Mawardi, SP., M.Sc. This lecturer in the field of Sharia Finance and Banking explained that in research students are often faced with variables that have not been measured (latent) and we want to see their influence on other variables that have not been measured. This Islamic Economics lecturer also said that students often face multilevel relationship models, where several independent variables influence dependent variable 1, but dependent variable 1 also influences dependent variable 2, and on the other hand, the independent variable also influences dependent variable 2.
According to him, in problems like that, students cannot use multiple regression in one test, so if they use multiple regression, they will need two or more tests. We can analyze situations like that using Structural Equation Modeling (SEM), either variance-based (SEM Partial Least Square/SEM PLS) or covariance-based SEM (Amos SEM), he said. (SRK)