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All Journal Indonesian Journal of Research and Educational Review (IJRER)
Chiwi Handayani
Department of Electronics Engineering and Information Technology, Universitas Negeri Makassar, Indonesia
Religion Arts Humanities Chemistry Education Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Synergizing Student Motivation and Project-Based Learning Syntax for Internet of Things Course Learning Outcomes Chiwi Handayani; Matasia Matasia; Muh. Ma’ruf Idris
ETDC: Indonesian Journal of Research and Educational Review Vol. 6 No. 1 (2026): September - December
Publisher : Education and Talent Development Center Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/ijrer.v6i1.5422

Abstract

This study examines how internal learning motivation interacts with students' evaluative perception of Project-Based Learning (PjBL) syntax to influence academic achievement in a hardware-software integrated Internet of Things (IoT) course. A quantitative causal-associative survey design was executed among 48 Electronics Engineering Education students (2022 cohort) at Universitas Negeri Makassar using saturated total sampling. Data was collected via a validated 26-item Likert questionnaire and standardized rubrics evaluating cognitive, psychomotor, and effective IoT course performance. Analysis employed multiple linear regression preceded by classical assumption verifications, Harman's Single-Factor test for common method variance, and a G*Power post-hoc sensitivity check. Both learning motivation (β = .308, t (45) = 2.308, p = .026) and perception of PjBL syntax implementation (β = .304, t (45) = 2.272, p = .028) exerted significant positive partial effects on IoT learning outcomes. Jointly, the model demonstrated a significant simultaneous effect, F (2, 45) = 5.644, p = .007, accounting for 20.1% of achievement variance (R² = .201, Adjusted R² = .165). Post-hoc power analysis confirmed adequate statistical power (1 - β = 0.812, α = .05) despite the small cohort size.
Co-Authors Matasia Matasia Muh. Ma’ruf Idris