SEM PLS (Structural Equation Modeling Patrial Least Square) Workshop with Smart PLS Application
Ciputat (25/04/2022) - Master Program in Sharia Banking Faculty of Economics and Business UIN Syarif Hidayatullah Jakarta batch of 2021 has held a Workshop on Structural Equation Modeling Partial Least Square (SEM PLS) using the Smart PLS Application. This workshop took place via the Zoom Online platform for free and was opened with remarks from the Dean of FEB UIN Syarif Hidayatullah Jakarta, Prof. Dr. Amilin, S.E., Ak.. Then followed by a second speech delivered by the head of the Islamic Banking Masters Study Program, Mrs. Nur Hidayah, Ph.D.
This workshop in collaboration with MPS and HMPS aims to make Smart PLS expected to be an option in writing theses, theses and dissertations to help students of the Master Program of FEB UIN Syarif Hidayatullah Jakarta in their research. With Dr. Riris Prasetyowati, S.E., M.M who is an expert in his field and later presenters can provide differences in the use of Smart PLS at each level, namely S1/S2/23.
This workshop also discussed that Smart PLS is an application that is suitable for a qualitative approach but the data is quantitative. The presenters also gave the advantages of Smart PLS including: 1) PLS was developed as an alternative to structural equation modeling whose basic theory is weak, 2) There is a classical assumption test when using SPSS, while Smart PLS does not need classical assumption testing, 3) The data used does not have to be normally distributed , 4) A small amount of data for example below 30 can be used in Smart PLS and the calculation results are still valid, 5) Can cover some shortcomings in SPSS.
Not only that, in Smart PLS there are various terms for naming variables, namely: Exogenous Variables, Endogenous Variables, Latent Variables, Reflective Variables, Formative Variables.
At the end of this workshop, the presenter conveyed the difference between the mediator variable (intervening) and the moderator variable. At the end of the Workshop, the event was closed with a prayer reading by Atta Amrullah and ended with an online group photo session.
This workshop also discussed that Smart PLS is an application that is suitable for a qualitative approach but the data is quantitative. The presenters also gave the advantages of Smart PLS including: 1) PLS was developed as an alternative to structural equation modeling whose basic theory is weak, 2) There is a classical assumption test when using SPSS, while Smart PLS does not need classical assumption testing, 3) The data used does not have to be normally distributed , 4) A small amount of data for example below 30 can be used in Smart PLS and the calculation results are still valid, 5) Can cover some shortcomings in SPSS.
Not only that, in Smart PLS there are various terms for naming variables, namely: Exogenous Variables, Endogenous Variables, Latent Variables, Reflective Variables, Formative Variables.
At the end of this workshop, the presenter conveyed the difference between the mediator variable (intervening) and the moderator variable. At the end of the Workshop, the event was closed with a prayer reading by Atta Amrullah and ended with an online group photo session.