Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Ilmiah Edutic : Pendidikan dan Informatika
Erliza Yubarda
Institut Teknologi Mitra Gama
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analyzing the Influence of Academic Competence and Soft Skills on Vocational Students’ Work Readiness Using Regression and Machine Learning Approaches Candra Surya; Erliza Yubarda; Kiki Ameliza; Wakhinudin Simatupang; Muhammad Anwar
EDUTIC Vol 13, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i1.34221

Abstract

This study examines the influence of academic competence and soft skills on vocational high school students’ work readiness by integrating multiple linear regression and machine learning classification approaches. A quantitative method was applied using data collected from 90 final-year students. Statistical analyses included descriptive statistics, classical assumption testing, and multiple linear regression. Additionally, machine learning models Decision Tree, Naive Bayes, and Support Vector Machine (SVM) were employed to classify students’ work readiness levels. The dataset was divided into training (70%) and testing (30%) subsets, and model performance was evaluated using accuracy, precision, recall, and F1-score. The results show that academic competence (p = 0.000) and soft skills (p = 0.006) significantly influence work readiness, with R² = 0.348. The SVM model achieved the highest accuracy (85.56%). These findings demonstrate that integrating statistical and machine learning approaches provides both explanatory and predictive insights.
Models and Practices of Curriculum Evaluation in Technical and Vocational Education and Training: A Systematic Literature Review Erliza Yubarda; Hasan Maksum; Waskito Waskito
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 14, No 2 (2026): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v14i2.138983

Abstract

Abstract - Curriculum evaluation is essential for ensuring the relevance, quality, and sustainability of Technical and Vocational Education and Training (TVET) in response to technological advancement, industrial transformation, and evolving workforce demands. However, existing studies primarily focus on individual evaluation models or specific institutional contexts, resulting in fragmented evidence. This study aims to identify curriculum evaluation models implemented in TVET, analyze their implementation practices, compare their characteristics, and synthesize current trends and future directions. A Systematic Literature Review (SLR) was conducted following the PRISMA 2020 guidelines using the Scopus database. The review process included identification, screening, eligibility assessment, quality assessment, and thematic synthesis, resulting in 12 eligible studies published between 2015 and 2025. The findings identified seven categories of curriculum evaluation models, namely Formal Evaluation, Quality Assurance Evaluation, Industry-Based Evaluation, Stakeholder-Based Evaluation, Competency-Based Evaluation, Future-Oriented Evaluation, and Assessment/Comparative Evaluation. The synthesis indicates a paradigm shift from traditional administrative evaluation toward more collaborative, evidence-based, competency-oriented, and industry-responsive approaches. Furthermore, the selection of evaluation models is influenced by national TVET policies, institutional priorities, and the level of industry collaboration, suggesting that no single evaluation model is universally applicable across different contexts. This study contributes a conceptual synthesis of curriculum evaluation models and highlights the importance of integrating multiple evaluation approaches to support continuous curriculum improvement, providing theoretical insights and practical guidance for curriculum developers, educational institutions, policymakers, and industry partners.Keywords : Technical and Vocational Education and Training (TVET), Curriculum Evaluation, Vocational Education, Systematic Literature Review, PRISMA 2020, Thematic Synthesis.
Co-Authors Candra Surya Hasan Maksum Kiki Ameliza Muhammad Anwar Wakhinudin Simatupang Waskito