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p-Index From 2021 - 2026
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This Author published in this journals
All Journal Jurnal Vokasi Mekanika UNP Journal of Statistics and Data Science
Rahmadani
Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Mechanical Engineering Social Sciences

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Analysis Analysis of The Influence of Job Resources and Leadership Quality on Job Satisfaction Using Structural Equation Modeling Azizah Apriyerni; Nisa Ulhusna; Rahmadani; Mira Meilisa
UNP Journal of Statistics and Data Science Vol. 4 No. 1 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss1/469

Abstract

Job Satisfaction is a essential factor influencing employee performance, commitment, and organizational sustainability. Low levels of Job Resources and suboptimal Leadership Quality are common causes of decreased job satisfaction across various institutions. This study aims to analyze the effect of job resources and leadership quality on Jjob Satisfaction using the Structural Equation Modeling (SEM) method. The research data were obtained from a Likert-scale survey (1-8) consisting of three latent variabless and their respective indicators, and wer analyzed through Confirmatory Factor Analysis (CFA) and Structural Model assesment. The result of the CFA indicate that all indicators meet the criteria for validity and reliability, with factor loadings above 0.50, a Composite Reliability (CR) value of 0.9667, and an Average Variance Extracted (AVE) value of 0.6769. the Goodness of Fit evaluation shows that the final model is highly acceptable, as reflected by a low Chi-square/df value, RMSEA = 0.005, and CFI, TLI, GFI, and NFI value of 1.000. the Structural analysis further demonstrates that Job Resources have a positive and significant impact on Job Satisfaction. Simultaneously, both variables contribute significantly to explaining variations in Job Satisfaction. This study highlights that enhancing Job Resources and improving Leadership Quality are crucial strategies to strengthen employee Job Satisfaction. The findings provide empirical insight that can assist organizations in developing more effective and sustainable human resource management policies
The Influence of Problem Base Learning Model on Improving Psychomotor Abilities of Automotive Engineering Ilham Yuliady; Zulfadli Fadli; Rahmadani; Yogi Dian Alfana; Erik Fernandes
Jurnal Vokasi Mekanika (VoMek) Vol 8 No 1 (2026): Jurnal Vokasi Mekanika
Publisher : Unversitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/29ry5075

Abstract

Automotive education as a field of vocational education emphasizes the development of psychomotor skills through authentic and industry oriented practical learning. However, practical instruction in automotive workshops is often dominated by conventional teacher centered approaches, resulting in limited student engagement and suboptimal skill development. This study aims to analyze the effect of the Problem Based Learning (PBL) model on improving the psychomotor skills of automotive engineering students in practical learning. A quasi experimental method with a pretest–posttest control group design was employed. The research sample consisted of two classes of automotive engineering students from the 2025 cohort, selected using purposive sampling as the experimental and control groups. Psychomotor skill data were collected using a performance-based assessment instrument covering work procedure accuracy, tool operation skills, occupational safety, and the quality of practical outcomes. Data analysis was conducted using descriptive statistics and an independent t-test with a significance level of a = 0.05. The results indicate that students who participated in Problem Based Learning achieved higher average psychomotor skill scores than those who received conventional instruction. Hypothesis testing confirmed a statistically significant difference between the two groups (t_calculated > t_table). These findings demonstrate that Problem-Based Learning is effective in enhancing students’ psychomotor skills through contextual problem-solving activities, active learning engagement, and meaningful hands-on practice. This study provides empirical evidence supporting the implementation of problem-based instructional models in automotive vocational education and offers practical implications for improving the quality of practice-based learning aligned with industry competency demands.
Co-Authors Azizah Apriyerni Erik Fernandes ilham yuliady Mira Meilisa Nisa Ulhusna S.Pd, Zulfadli Yogi Dian Alfana