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All Journal Journal Of World Science JURNAL ILMIAH PENELITIAN MAHASISWA
Amin Zuhdi Almunawar
Universitas Negeri Padang
Computer Science & IT Economics, Econometrics & Finance Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Social Sciences

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The Application of Artificial Intelligence (AI) In Vehicle Motion Mechanics Learning to Optimize Students' Critical Thinking and Problem-Solving Skills Amin Zuhdi Almunawar; Hasan Maksum; Muhammad Adri; Irma Yulia Basri
Journal of World Science Vol. 4 No. 12 (2025): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v4i12.1611

Abstract

The integration of Artificial Intelligence (AI) in vocational education opens up transformative opportunities to develop 21st-century skills, especially critical thinking and problem-solving, which are key competencies for prospective professionals in the automotive sector. This study examines the effectiveness of using AI (Claude and Pollo AI) through the Project-Based Learning (PjBL) model in improving the critical thinking and problem-solving skills of automotive engineering students in the Vehicle Motion Mechanics course. The study, using a pre-experimental intact group comparison design, involved 37 third-semester students, consisting of an experimental group () and a control group (). The experimental group learned using AI-based PjBL, while the control group received conventional Discovery Learning. Data were collected through validated analytical rubrics and analyzed using an independent samples t-test and effect size. The results showed that the experimental group obtained a much higher critical thinking score (M = 82.45; SD = 6.23) compared to the control group (M = 71.33; SD = 7.89), . Similar improvements were also found in problem-solving skills (M = 84.12; SD = 5.87 vs. M = 69.78; SD = 8.45), , which indicates a strong practical impact. These findings confirm that the integration of AI through PjBL effectively strengthens critical thinking and problem-solving skills in automotive vocational education, while providing empirical evidence to drive technology-based engineering learning transformation.
Effectiveness of On-Engine Test Calibration on Vibration, Exhaust Opacity, and Injector Balancing of Common-Rail Injectors in a Chevrolet Captiva FL Diesel Engine Randi Perdana Putra; Rifdarmon Rifdarmon; Hasan Maksum; Iffarial Nanda; Amin Zuhdi Almunawar; Indra Bayu
JURNAL ILMIAH PENELITIAN MAHASISWA Vol 4 No 5 (2026): Oktober
Publisher : Kampus Akademik Publiser

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jipm.v4i5.3101

Abstract

Penurunan kondisi injektor common-rail secara bertahap dapat mengganggu atomisasi bahan bakar, memperparah ketidakseimbangan pembakaran antar-silinder, dan meningkatkan asap knalpot yang terlihat. Studi lapangan ini mengevaluasi prosedur kalibrasi injektor langsung pada mesin (on-engine) pada mesin diesel Chevrolet Captiva FL C140 menggunakan desain pretest-posttest satu kelompok. Kecepatan getaran pada empat posisi terkait injektor dan opasitas gas buang diukur sebanyak tiga kali pengulangan. Rata-rata getaran menurun dari 5,54 menjadi 1,35 mm/detik (75,64%), sedangkan rata-rata opasitas menurun dari 55,43% menjadi 28,90% (47,87%). Seluruh nilai rata-rata getaran pasca-kalibrasi berada di bawah acuan studi sebesar 2 mm/detik, dan seluruh pembacaan opasitas pasca-kalibrasi berada di bawah batas HSU 40% yang berlaku. Perbandingan getaran berpasangan pada tingkat injektor tidak mencapai signifikansi statistik (α=0,05; t(3)=2,68; p=0,075), sedangkan perbandingan opasitas menunjukkan hasil yang signifikan (t(2)=4,82; p=0,040). Selain itu, rata-rata deviasi absolut penyeimbangan injektor menurun dari 63,25 menjadi 3,75 unit, dengan keempat nilai tersebut masuk ke dalam rentang normal -50 hingga +50. Prosedur ini menunjukkan potensi nilai yang menjanjikan untuk pemeliharaan lapangan, namun klaim yang lebih luas memerlukan pengujian pada berbagai kendaraan serta perbandingan dengan kalibrasi menggunakan test-bench.
Co-Authors Hasan Maksum Indra Bayu Irma Yulia Basri Muhammad Adri Nanda, Iffarial Randi Perdana Putra Rifdarmon, Rifdarmon