Journal of Education and ICT
Vol 9, No 2 (2025)

THE INFLUENCE OF STUDY HABITS ON LEARNING MOTIVATION AND ACADEMIC ACHIEVEMENT IN DIGITAL SIMULATION SUBJECT: A QUANTITATIVE STUDY AT A VOCATIONAL HIGH SCHOOL

Yandria Elmasari (Universitas Bhinneka PGRI)
Annisaa Fadhila (Universitas Bhinneka PGRI)



Article Info

Publish Date
08 Dec 2025

Abstract

Study habits represent a critical internal factor that shapes students’ academic trajectories, yet the differential effects of study habits on motivational outcomes versus cognitive achievement remain insufficiently understood in the context of vocational secondary education. This study investigates the influence of study habits on two distinct learning outcomes—learning motivation (Y₁) and academic achievement (Y₂)—among Grade X students enrolled in the Digital Simulation and Communication (SIMDIG) subject at SMKN 2 Tulungagung, Indonesia. A quantitative correlational design was employed, with data collected from 76 students selected via purposive sampling (15% of the total population of 505 students) across three classes. Data were obtained through a closed Likert-scale questionnaire (1–4) validated via SPSS (19 valid items for study habits; 22 for learning motivation) and supplemented with mid-term examination scores as the academic achievement indicator. Simple linear regression and t-test analyses were applied after confirming the assumptions of normality, linearity, homogeneity, and homoscedasticity. Results revealed that study habits significantly predicted learning motivation (sig. = 0.000, R = 0.682, R² = 0.465), accounting for 46.5% of the variance, whereas no significant relationship was observed between study habits and academic achievement (sig. = 0.283, R = 0.125, R² = 0.016). These findings suggest that while consistent study habits substantially enhance student motivation in vocational ICT settings, academic achievement is governed by a broader constellation of internal and external factors. Practical implications for vocational educators and future research directions involving multivariate and digital-mediated learning environments are discusse.

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Journal Info

Abbrev

joeict

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

This journal encompasses original research articles, review articles, and short communications, including: Pendidikan Teknologi Informasi Information System Artificial Intelligence AI & Expert systems Database Systems Computing Languages & Algorithms Computer Networks & Communications Computer ...