Eighteen students from the
Management Study Program at the Faculty of Economics and Business, Pattimura
University, participated in an intensive training program on Structural
Equation Modeling-Partial Least Square (SEM-PLS) data analysis using SmartPLS to
strengthen their research skills and scientific publication capabilities. This
community service activity, led by Jacsy Tubalawony and their team, was
conducted to equip students with technical quantitative data processing skills
relevant to current academic demands.
Addressing Student
Research Challenges
In the era of digital
transformation, universities are pressured to increase scientific publication
productivity. However, students often face obstacles in understanding complex
quantitative research methodologies. Many students still rely on simple regression
methods that lack the depth required to test complex variable relationships.
Limited technical understanding of how to use modern statistical software, such
as SmartPLS, often leads to difficulties in interpreting research results and
slows down the completion of final projects and the publication of scientific
articles.
Interactive Training
and Hands-on Practice
This activity
implemented a comprehensive training method, including:
- · Theoretical Delivery: Interactive lectures on the fundamental concepts of SEM-PLS.
- · Hands-on Practice: Direct simulation of research data processing performed independently by participants.
- · Mentoring: Consultation sessions to help participants resolve analytical obstacles within their own research data.
- · Evaluation: Assessment of participants' understanding levels through discussions and demonstrations of software usage.
Participants were trained to
operate various stages of analysis, ranging from model construction, outer
and inner model testing, to validity and reliability testing, as well as
hypothesis interpretation.
Impact and Academic
Implications
The results of the activity
showed a significant increase in participants' understanding regarding
SEM-PLS-based quantitative research methodologies. Students are now able to
compile research results in accordance with scientific journal standards, which
is expected to improve the quality of their academic writing. Jacsy Tubalawony
and the team emphasized that mastering modern data analysis technology is
crucial for students so that their resulting research is more systematic,
innovative, and competitive at both national and international levels.
Author Profile:
- Pieter Novry Rudy Rehatta : Pattimura University
- Jacsy Tubalawony : Pattimura University
- Siska Jeanete Saununu : Pattimura University
- Feky Reken : Pattimura University
- Muhammad Faisal : Pattimura University
Research Source:
Rehatta, P. N. R., Tubalawony, J., Saununu, S. J., Reken, F., & Faisal, M. (2026). Penguatan Kompetensi Analisis SEM Berbasis SmartPLS untuk Mendukung Publikasi Akademik Mahasiswa Program Studi Manajemen. Jurnal Pengabdian Masyarakat Bestari (JPMB), 5(5), 415-424.
DOI: https://doi.org/10.55927/jpmb.v5i5.32
URL: https://journaljpmb.my.id/index.php/jpmb
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