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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Zonasi: Jurnal Sistem Informasi Jurnal Perseda : Jurnal Pendidikan Guru Sekolah Dasar Didaktik : Jurnal Ilmiah PGSD STKIP Subang Judikatif: Jurnal Desain Komunikasi Kreatif Jurnal Vokasi Mekanika
Fadhilah
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Vector Learning in Vocational and Engineering Education: A Systematic Review, Narrative Synthesis, and Limited Meta-Analysis Using JASP Denal Mulia; Fadhilah; Dedy Irfan
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12929

Abstract

Vector learning is a fundamental component of physics and engineering but is often perceived as difficult due to its abstract concepts. This study aims to map publication trends, instructional models, and the effectiveness of vector learning from 2016 to 2025 through a systematic literature review and limited meta-analysis. Twenty-one articles from Scopus, Sinta 1–2, and DOAJ were analyzed using the PRISMA protocol. Seven quantitative studies were synthesized through meta-analysis using JASP, while fourteen were reviewed narratively. The findings show a steady increase in publications, with notable peaks in 2018 and 2020. Problem-based learning and augmented reality emerged as the most widely implemented instructional approaches. The pooled effect size indicates a large impact (d = 1.01), with augmented reality (d = 0.74) and blended learning (d = 0.62) showing high effectiveness. Narrative synthesis highlights conceptual difficulties, ongoing media innovation, and the development of supporting teaching materials. The study concludes that vector learning research remains active but requires further exploration in AI integration, web-based gamification, and long-term retention assessment.
Welding Defect Analysis in Low Carbon Steel SMAW Joints Using Visual Inspection and Liquid Penetrant Test as a Basis for Welding Quality Control Junil Adri; Durain Parmanoan; Andril Arafat; Fadhilah
Jurnal Vokasi Mekanika (VoMek) Vol 8 No 3 (2026): Jurnal Vokasi Mekanika
Publisher : Unversitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/znkhtk87

Abstract

This research is motivated by the importance of the ability of D3 Mechanical Engineering students in evaluating the quality of welded joints, because the welding results that appear unified are not necessarily free from surface defects. This study aims to analyze the types of welding defects in low carbon steel Shielded Metal Arc Welding  joints using Visual Inspection and Liquid Penetrant Test as the basis for welding quality control in vocational learning. The study used a quantitative descriptive design based on applied laboratories involving 48 D3 Mechanical Engineering students divided into three learning sessions. Each student produced one welded joint specimen, so that the total number of specimens analyzed was 48. Data were collected through visual inspection sheets, Liquid Penetrant Test result sheets, photo documentation, and recapitulation of welding defects, then analyzed using frequency, percentage, and technical interpretation of the causes of defects. The results showed that the most dominant defects were porosity with 17 specimens (35.42%), followed by undercut with 14 specimens (29.17%), excessive spatter with 12 specimens (25.00%), and irregular bead with 11 specimens (22.92%). Liquid Penetrant Test detected 64 defect indications, higher than Visual Inspection which detected 49 defect indications. From the quality category, 24 specimens were accepted, 18 required repair, and 6 were rejected. This study concluded that the combination of Visual Inspection and Liquid Penetrant Test is effective for identifying welding defects more comprehensively and can be the basis for quality control of welding learning that is more objective, systematic, and relevant to industrial needs.
Co-Authors Ambiyar, Ambiyar Arafat, Andril Asrul Huda Dedy Irfan Denal Mulia Desyandri Desyandri Desyandri Diana Gusti Alfiyanti Diana Gusti Alfiyanti Durain Parmanoan Elvina Fahmi Rizal Farida Mayar Fauzana Azizah Fitria, Yanti Irdamurni Junil Adri Lika Jafnihirda Muskhir, Mukhlidi Neviyarni S Rezi Elsya Putra Rezi Rina Marlina Simatupang, Wakhinuddin Wakhimuddin Simatupang Yanti Fitria Yeka Hendriyani Yeni Erita Yeni Erita Yusrani Fitri Yusrani Fitri