KOLABORASI PENDIDIKAN VOKASI DENGAN TEKNOLOGI AI: TREN TEKNOLOGI AI UNTUK MENINGKATKAN KOMPETENSI SISWA SMK 2 KLATEN

The technological transformation of the Industrial Revolution 4.0 era and the shift towards Society 5.0 have fundamentally changed the social, economic, and educational landscape. Vocational High Schools (SMK), as the vanguard of vocational education, play a strategic role in producing skilled workers who are ready to face the challenges of technology-based industries, particularly those related to artificial intelligence (AI). However, there is a gap between industry needs and the competencies of students and teachers at vocational schools. To address this, the Diploma 3 Vocational Study Program in Informatics Management at Widya Dharma University, Klaten (Unwidha) conducted an introductory training on AI technology for students of SMK Negeri 2 Klaten. This activity aims to improve technological literacy and student readiness for the increasingly AI-dominated workforce. The implementation method included lectures, discussions, and practical training, with a focus on introducing basic AI concepts and their practical applications. The results of the activity showed an increase in students' understanding and skills in AI technology, as well as strengthening collaboration between higher education and vocational education. It is hoped that this activity can be continued and integrated into the vocational education curriculum to increase the relevance of learning to industry needs. Keywords : Vocational High Schools, AI skills, AI technology, vocational education

Authors

Institutions

Publication Details

Journal
WIDHARMA - Jurnal Pengabdian Widya Dharma
Published
2025-08-12
DOI
https://doi.org/10.54840/widharma.v4i02.404
Primary Topic
Educational Curriculum and Learning Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

KOLABORASI PENDIDIKAN VOKASI DENGAN TEKNOLOGI AI: TREN TEKNOLOGI AI UNTUK MENINGKATKAN KOMPETENSI SISWA SMK 2 KLATEN

Hendro Joko Prasetyo, Aryati Wuryandari, Muryanto
WIDHARMA - Jurnal Pengabdian Widya Dharma
Educational Curriculum and Learning Methods
article

KOLABORASI PENDIDIKAN VOKASI DENGAN TEKNOLOGI AI: TREN TEKNOLOGI AI UNTUK MENINGKATKAN KOMPETENSI SISWA SMK 2 KLATEN

Hendro Joko Prasetyo, Aryati Wuryandari, Muryanto
article en

Abstract

The technological transformation of the Industrial Revolution 4.0 era and the shift towards Society 5.0 have fundamentally changed the social, economic, and educational landscape. Vocational High Schools (SMK), as the vanguard of vocational education, play a strategic role in producing skilled workers who are ready to face the challenges of technology-based industries, particularly those related to artificial intelligence (AI). However, there is a gap between industry needs and the competencies of students and teachers at vocational schools. To address this, the Diploma 3 Vocational Study Program in Informatics Management at Widya Dharma University, Klaten (Unwidha) conducted an introductory training on AI technology for students of SMK Negeri 2 Klaten. This activity aims to improve technological literacy and student readiness for the increasingly AI-dominated workforce. The implementation method included lectures, discussions, and practical training, with a focus on introducing basic AI concepts and their practical applications. The results of the activity showed an increase in students' understanding and skills in AI technology, as well as strengthening collaboration between higher education and vocational education. It is hoped that this activity can be continued and integrated into the vocational education curriculum to increase the relevance of learning to industry needs. Keywords : Vocational High Schools, AI skills, AI technology, vocational education

WIDHARMA - Jurnal Pengabdian Widya DharmaVol. 4(02)
Universitas Widya Dharma Klaten (ID)
Quality Education
Openalex Percentile: Top 77%
Educational Curriculum and Learning Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.