Improving Vocational Teachers' Data Modeling Competence through MATLAB and Python Training:

A Case Study at SMK Negeri Penerbangan Aceh

Authors

  • Muslimsyah Muslimsyah Universitas Syiah Kuala
  • Yuwaldi Away Universitas Syiah Kuala
  • Safrizal Razali Departemen Teknik Elektro dan Komputer, Universitas Syiah Kuala

DOI:

https://doi.org/10.12345/je.v9i3.287

Keywords:

Teacher Training, Data Modeling, Digital Literacy, MATLAB, Python

Abstract

This training program aimed to enhance data modeling competencies among vocational teachers at SMK Negeri Penerbangan Aceh through intensive one-day MATLAB and Python training. Employing a pre-test/post-test design with 14 participants using 5-point Likert scale instruments, the results demonstrated significant improvements across all measured aspects. Key findings revealed the highest growth in work productivity (28.6% increase from 54.3% to 82.9%) and software mastery (25.7% increase from 42.9% to 68.6%). Cluster analysis identified three developmental patterns: (1) technical competencies (>20%), (2) tool integration (15-20%), and (3) conceptual understanding (<15%). The outcomes validate the effectiveness of hands-on, case-based training approaches while highlighting the need for advanced technical support programs. Practical implications suggest developing tiered training models for vocational teachers to address digital transformation challenges.

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Published

2025-06-12

Issue

Section

Aplikasi Teknik (Technical Implementation)