Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method

Structural Equation Modeling (SEM) is one type of multivariate analysis in the social sciences. Multivariate analysis is the application of statistical methods to analyze several research variables simultaneously. This community service activity was held and aimed at the academic community (lecturer...

Full description

Bibliographic Details
Main Authors: Petrolis Nusa Perdana, Diah Armeliza, Hera Khairunnisa, Hafifah Nasution
Format: Article
Language:English
Published: Fakultas Ekonomi Universitas Negeri Jakarta 2023-07-01
Series:Jurnal Pemberdayaan Masyarakat Madani
Subjects:
Online Access:https://journal.unj.ac.id/unj/index.php/jpm/article/view/29325
_version_ 1797791336505540608
author Petrolis Nusa Perdana
Diah Armeliza
Hera Khairunnisa
Hafifah Nasution
author_facet Petrolis Nusa Perdana
Diah Armeliza
Hera Khairunnisa
Hafifah Nasution
author_sort Petrolis Nusa Perdana
collection DOAJ
description Structural Equation Modeling (SEM) is one type of multivariate analysis in the social sciences. Multivariate analysis is the application of statistical methods to analyze several research variables simultaneously. This community service activity was held and aimed at the academic community (lecturers and students) from partner campuses of the Faculty of Economics, State University of Jakarta, they are FEB UHAMKA, STIE Indonesia, and Tempo Polytechnic with the aim of providing knowledge about research methodologies, especially the Structural Equation Modeling method (SEM) – Partial Least Squares (PLS) which has various advantages compared to other PLS software as described above. Another goal is expected to help improve the ability of the partner academic community in making scientific articles to be published in national and international journals. In addition, in this training, partners are also trained for hands-on practice using the Warp PLS Ver Software. 5.0. The method of implementing this community service activity is in the form of a workshop that includes providing material related to the SEM-PLS method as well as direct practice in using the WarpPLS software. During the workshop, the partner academic community was also given time to discuss and ask questions directly with the instructor.
first_indexed 2024-03-13T02:17:21Z
format Article
id doaj.art-c70e096bfbc245b59fc57c29af42ec0c
institution Directory Open Access Journal
issn 2580-4332
language English
last_indexed 2024-03-13T02:17:21Z
publishDate 2023-07-01
publisher Fakultas Ekonomi Universitas Negeri Jakarta
record_format Article
series Jurnal Pemberdayaan Masyarakat Madani
spelling doaj.art-c70e096bfbc245b59fc57c29af42ec0c2023-06-30T12:12:36ZengFakultas Ekonomi Universitas Negeri JakartaJurnal Pemberdayaan Masyarakat Madani2580-43322023-07-01714450https://doi.org/10.21009/JPMM.007.1.05Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) MethodPetrolis Nusa Perdana0Diah Armeliza1Hera Khairunnisa2Hafifah Nasution3Universitas Negeri JakartaUniversitas Negeri JakartaUniversitas Negeri JakartaUniversitas Negeri JakartaStructural Equation Modeling (SEM) is one type of multivariate analysis in the social sciences. Multivariate analysis is the application of statistical methods to analyze several research variables simultaneously. This community service activity was held and aimed at the academic community (lecturers and students) from partner campuses of the Faculty of Economics, State University of Jakarta, they are FEB UHAMKA, STIE Indonesia, and Tempo Polytechnic with the aim of providing knowledge about research methodologies, especially the Structural Equation Modeling method (SEM) – Partial Least Squares (PLS) which has various advantages compared to other PLS software as described above. Another goal is expected to help improve the ability of the partner academic community in making scientific articles to be published in national and international journals. In addition, in this training, partners are also trained for hands-on practice using the Warp PLS Ver Software. 5.0. The method of implementing this community service activity is in the form of a workshop that includes providing material related to the SEM-PLS method as well as direct practice in using the WarpPLS software. During the workshop, the partner academic community was also given time to discuss and ask questions directly with the instructor.https://journal.unj.ac.id/unj/index.php/jpm/article/view/29325structural equation modeling method (sem) – partial least squares (pls)warpplslinear and non-linear relationships
spellingShingle Petrolis Nusa Perdana
Diah Armeliza
Hera Khairunnisa
Hafifah Nasution
Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method
Jurnal Pemberdayaan Masyarakat Madani
structural equation modeling method (sem) – partial least squares (pls)
warppls
linear and non-linear relationships
title Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method
title_full Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method
title_fullStr Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method
title_full_unstemmed Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method
title_short Research Data Processing Through Structural Equation Model-Partial Least Square (SEM-PLS) Method
title_sort research data processing through structural equation model partial least square sem pls method
topic structural equation modeling method (sem) – partial least squares (pls)
warppls
linear and non-linear relationships
url https://journal.unj.ac.id/unj/index.php/jpm/article/view/29325
work_keys_str_mv AT petrolisnusaperdana researchdataprocessingthroughstructuralequationmodelpartialleastsquaresemplsmethod
AT diaharmeliza researchdataprocessingthroughstructuralequationmodelpartialleastsquaresemplsmethod
AT herakhairunnisa researchdataprocessingthroughstructuralequationmodelpartialleastsquaresemplsmethod
AT hafifahnasution researchdataprocessingthroughstructuralequationmodelpartialleastsquaresemplsmethod