Syahril Syahril
Department of Mechanical Engineering, Faculty of Engineering, Universitas Negeri Padang, INDONESIA

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Loading-dependent mechanical performance of alkali-treated areca nut husk fiber reinforced polyester composites modified with Uncaria gambir extract Rahmat Azis Nabawi; Syahril Syahril; Hairul Abral
Teknomekanik Vol. 8 No. 2 (2025): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/teknomekanik.v8i2.52472

Abstract

Natural fiber-reinforced polymer composites often experience mechanical performance limitations due to weak interfacial bonds between hydrophilic fibers and hydrophobic matrices. This study experimentally examined the effect of alkali treatment and modification using Uncaria gambir extract (UGE) on the mechanical properties and interface morphology of polyester composites reinforced with areca nut husk fiber (ANHF). Four composite configurations were prepared with a constant fiber weight fraction of 40 wt.% after alkali treatment using 6% NaOH for 24 hours, while the remaining 2 wt.% UGE was selectively applied as a fiber surface treatment, matrix additive, or a combination of both. Tensile and flexural properties were evaluated in accordance with ASTM standards, while interface morphology was examined using scanning electron microscopy (SEM). The results showed that alkali-treated composites without UGE addition had the highest tensile strength, which was attributed to increased fiber surface roughness and mechanical interlocking mechanisms. Conversely, fiber surface modification using UGE significantly increased flexural strength, indicating better stress distribution under flexural loading due to increased interface continuity. However, the addition of UGE to the matrix caused a decrease in tensile strength, which was thought to be related to a reduction in matrix stiffness. SEM observations confirm the presence of distinct interface morphology differences according to the treatment applied. These findings indicate that UGE serves primarily as a bio-based interfacial modifier, enhancing flexural performance, while its effectiveness is strongly governed by the mechanical loading mode.
Problem-based learning in orthogonal projection drawing: A quasi-experimental study on vocational machining students’ technical drawing achievement Aprilia Eka Salwa; Syahril Syahril; Eko Indrawan; Gulzhaina K. Kassymova
Jurnal Pendidikan Teknologi Kejuruan Vol 9 No 2 (2026): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v9i2.50323

Abstract

This study examined the implementation of Problem-Based Learning (PBL) and its effect on Grade X Machining Engineering students’ cognitive achievement in Technical Drawing, particularly orthogonal projection. The study used a quantitative quasi-experimental design with a non-equivalent control group. The participants were 70 students at SMK Negeri 5 Padang, divided into an experimental class taught using PBL and a control class taught using conventional instruction. Data were collected through pretest and post-test scores using a validated multiple-choice test on orthogonal projection. The final instrument consisted of 28 valid items with a KR-20 reliability coefficient of 0.914. Descriptive statistics, Shapiro-Wilk normality tests, Levene’s homogeneity test, and an independent samples t-test were used for data analysis. The results showed that both groups improved after instruction, but the experimental class achieved a higher increase. The mean score of the experimental class rose from 53.57 to 79.28, while the control class increased from 53.67 to 64.29. The t-test showed a significant post-test difference between groups, t (68) = -10.152, p < 0.001. These findings indicate that PBL supports stronger cognitive achievement in orthogonal projection learning by engaging students in investigation, discussion, presentation, and evaluation. The findings directly recommend PBL for visual technical topics in vocational classrooms.
Optimizing learning engagement and performance in technical education: Harnessing the power of video tutorials for enhanced motivation and skill development in Shield Metal Arc Welding Subject M Hafis; Syahril Syahril; Refdinal Refdinal; Febri Prasetya
Journal of Engineering Researcher and Lecturer Vol. 2 No. 3 (2023): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v2i3.112

Abstract

This study aimed to enhance the quality of Shield Metal Arc Welding instruction in Class XI Welding Engineering at State Vocational High School 1 Bukittinggi through the integration of interactive media videos. Employing a class action research design with saturated sampling, the research findings revealed that the implementation of video tutorials significantly improved student motivation and learning outcomes. The use of video tutorials captured students' interest, resulting in increased motivation for learning Shield Metal Arc Welding. In the initial cycle, student motivation in Class XI Welding Engineering at State Vocational High School 1 Bukittinggi, as measured in meeting I, stood at 54%, indicating a less motivated state. By meeting II of cycle I, the motivation increased to 61%, categorized as moderately motivated. In the subsequent cycle, meeting I recorded a motivation level of 72%, demonstrating a motivated state, while meeting II in cycle II reached 82%, indicating a highly motivated state. Consequently, there was a noticeable progression in student learning motivation from cycle I to cycle II. Furthermore, student learning outcomes in Shield Metal Arc Welding for Class XI Welding Engineering at State Vocational High School 1 Bukittinggi improved when videos were utilized as interactive media. In cycle I, the average student learning outcome was 77.88, categorized as moderate. In cycle II, the average increased to 79.06, reflecting a high level of achievement. This indicates a positive shift in student learning outcomes, moving from moderate to good performance.
Enhancing vocational education through augmented reality: Android-based learning media for CNC TU-2A instruction in technical and vocational high schools Rezky Azhari Salim; Syahril Syahril; Nelvi Erizon
Journal of Engineering Researcher and Lecturer Vol. 4 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v4i2.188

Abstract

The rapid evolution of digital technologies has opened new opportunities for transforming vocational education, particularly in CNC (Computer Numerical Control) machining. Despite its vital role in preparing skilled workers, CNC instruction in Indonesian vocational schools remains constrained by teacher-cantered methods, static materials, and limited access to costly machines, resulting in low engagement and achievement. This study aimed to design, implement, and evaluate Android-based Augmented Reality (AR) learning media for CNC TU-2A machines to enhance students’ cognitive performance, psychomotor skills, and classroom participation. Using a Classroom Action Research (CAR) model across two cycles, the research involved 31 eleventh-grade Mechanical Engineering students at SMK Negeri 5 Padang. Data were collected through cognitive tests, student activity observations, and surveys. Results showed significant improvements: average cognitive scores rose from 75.91 to 82.47, classical mastery increased from 54.83% to 100%, and psychomotor scores improved by 3.24 points. Student learning activities also climbed from 72.2% to 80.4%, with discussion and collaboration showing the highest gain (17%). While barriers such as device limitations and technical issues arose, they were addressed through device sharing, offline content, and teacher mentoring. Findings confirm AR as an effective, scalable tool for modernizing CNC instruction, fostering engagement, and preparing vocational students for Industry 4.0 learning demands.
Mechanical characteristics and FEA-based non-uniform infill density approaches for Fused Deposition Modelling (FDM)-printed components: A literature review Mhd. Fahri Meihanda Putra; Syahril Syahril; Delima Yanti Sari
Journal of Engineering Researcher and Lecturer Vol. 5 No. 2 (2026): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v5i2.220

Abstract

Fused Deposition Modelling (FDM) is one of the most widely used additive manufacturing (AM) technologies for producing functional polymer components. However, commercially available slicing software generally applies a uniform infill density throughout the entire component without considering the actual stress distribution, resulting in excessive material usage in low-stress regions and unnecessary increases in component weight. This literature review synthesizes current knowledge on the mechanical characteristics of FDM-printed components and evaluates Finite Element Analysis (FEA)-based non-uniform infill density approaches as a promising strategy for structural optimization. The reviewed literature covers the effects of anisotropic behaviour, internal voids, infill density, infill pattern, and the integration of FEA with topology optimization techniques for FDM components. The findings indicate that the layer-by-layer deposition process produces pronounced mechanical anisotropy and introduces internal voids that influence structural performance. The relationship between infill density and mechanical strength is positive but nonlinear, whereas different infill patterns at the same density can produce variations of up to 82% in flexural strength. Although FEA provides reliable estimates of stress distribution, prediction errors of approximately 8.67–12% remain because conventional simulations assume homogeneous and isotropic materials that do not accurately represent the actual characteristics of FDM-printed components. Furthermore, FEA-based multi-zone non-uniform infill density strategies have been reported to increase peak load by up to 49% and bending stiffness by up to 46% compared with conventional uniform-density configurations. Overall, this review demonstrates that FEA-based non-uniform infill density is a promising design optimization strategy for functional FDM-printed components by improving structural performance while reducing unnecessary material usage. Future research should focus on density transition design and experimental validation to improve the reliability and practical implementation of this approach.