A community service team from Universitas Veteran Bangun Nusantara led by Pardyatmoko and his fellow researchers successfully implemented a digital talent strengthening program for Vocational High School (SMK) students in 2026
Background and Context
The massive development of digital technology demands a significant shift in workforce competencies
Implementation Method
To overcome these obstacles, the implementation team applied a project-based participatory training approach (Participatory Action Training / PAT)
Main Program Findings
Based on evaluation results published in the Jurnal Pengabdian Masyarakat Bestari, this training program proved to deliver an extraordinary impact on enhancing participants' competencies
- The participants' average comprehension score increased significantly from 58.4 in the initial stage (pre-test) to 86.7 in the final stage (post-test)
. - A total of 89.5% of participants successfully developed simple websites independently using CMS and integrated AI features to produce effective content
. - A total of 92.3% of participants stated that the training materials provided a learning experience highly relevant to the needs of the digital workforce
. - A total of 90.1% of participants successfully compiled professional digital portfolios as evidence of competencies supporting job readiness
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Implications and Research Impact
According to Pardyatmoko and the team from Universitas Veteran Bangun Nusantara, this program successfully shifted students' mindsets from merely passive media users to strategic and ethical digital content creators
Author Profile
- Research Team: Pardyatmoko, Sukarno, Ahmad Rosyid, Muhlis Fajar Wicaksana, Citra Trihandayani, and Wahyu Setiawati.
- Affiliation: Universitas Veteran Bangun Nusantara
. - Fields of Expertise: Digital Learning Management, AI Technology, Content Design, and Learning Evaluation
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Research Source
- Article Title: Building Vocational Digital Talent Through Strengthening AI-Based Content Management System Skills
- Journal Name: Jurnal Pengabdian Masyarakat Bestari (JPMB)
- Publication Year: 2026
- DOI:
https://doi.org/10.55927/jpmb.v5i7.46 - URL:
https://journaljpmb.my.id/index.php/jpmb
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