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Journal : Journal of Engineering Researcher and Lecturer

Installation of gussets to reduce stress on the junction between the arm and bridge on the swing arm Hidayat, Nailul; A, Yufrizal; Nurdin, Hendri; Kassimov, Farid; Kenzhaliyev, Elnar
Journal of Engineering Researcher and Lecturer Vol. 2 No. 2 (2023): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v2i2.75

Abstract

The swing arm is one of the main components of a motorcycle that functions as a connection between the rear wheel and the frame. Under loading conditions, the joint area between the arm and the bridge experiences significant stress, leading to fractures in that region. This study aims to investigate the effectiveness of installing gussets to reduce the stress that occurs at the joint area between the arm and the bridge in the swing arm of ELGO electric motorcycles. The research was conducted using the static analysis simulation method with Solidworks 2021-2022 Research License software. The loading conditions were simulated based on the actual usage of the electric motorcycle. The simulation results revealed that without the installation of gussets, the joint area between the arm and the bridge in the swing arm experienced stress exceeding the yield strength of the material. This would inevitably lead to the breakage of the swing arm and potentially cause accidents for motorcycle riders. However, after the gussets were installed, the stress at the joint area between the arm and the bridge remained below the yield strength of the material. Based on these findings, it can be concluded that the installation of gussets successfully reduced the stress at the joint area between the arm and the bridge in the swing arm. This research outcome can serve as a reference for the design of swing arms for electric motorcycles.
Optimizing student learning in Computer Numerical Control subject: A comprehensive analysis of influential factors Fadri, Muhammad Al; A, Yufrizal; Fernanda, Yolli; Prasetya, Febri
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.v2i3.114

Abstract

The learning outcomes achieved by students are influenced by many factors. This study aims to determine the level of support of factors (motivation, interest, family, teacher's role, learning methods and learning facilities) that influence the learning process in achieving student learning outcomes in CNC learning in class XI. The subjects in the study were Class XI students majoring in Mechanical Engineering at SMK Negeri 5 Padang in the 2022/2023 academic year totalling 37 people. Because the number of research subjects (population) is less than 100 people, so all of them are taken as samples or total sampling. Data collection was carried out using observation, questionnaires and documentation. Data analysis techniques using descriptive statistical techniques. From the data analysis, it shows that of each factor studied, the learning facility factor has the lowest level of support for student academic success compared to other factors that have been studied by researchers. Therefore, learning facilities at SMK Negeri 5 Padang in CNC subjects need to be improved again to support the student learning process and achieve better learning achievements for students.
Installation of gussets to reduce stress on the junction between the arm and bridge on the swing arm Hidayat, Nailul; A, Yufrizal; Nurdin, Hendri; Kassimov, Farid; Kenzhaliyev, Elnar
Journal of Engineering Researcher and Lecturer Vol. 2 No. 2 (2023): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v2i2.75

Abstract

The swing arm is one of the main components of a motorcycle that functions as a connection between the rear wheel and the frame. Under loading conditions, the joint area between the arm and the bridge experiences significant stress, leading to fractures in that region. This study aims to investigate the effectiveness of installing gussets to reduce the stress that occurs at the joint area between the arm and the bridge in the swing arm of ELGO electric motorcycles. The research was conducted using the static analysis simulation method with Solidworks 2021-2022 Research License software. The loading conditions were simulated based on the actual usage of the electric motorcycle. The simulation results revealed that without the installation of gussets, the joint area between the arm and the bridge in the swing arm experienced stress exceeding the yield strength of the material. This would inevitably lead to the breakage of the swing arm and potentially cause accidents for motorcycle riders. However, after the gussets were installed, the stress at the joint area between the arm and the bridge remained below the yield strength of the material. Based on these findings, it can be concluded that the installation of gussets successfully reduced the stress at the joint area between the arm and the bridge in the swing arm. This research outcome can serve as a reference for the design of swing arms for electric motorcycles.
Optimizing student learning in Computer Numerical Control subject: A comprehensive analysis of influential factors Fadri, Muhammad Al; A, Yufrizal; Fernanda, Yolli; Prasetya, Febri
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.v2i3.114

Abstract

The learning outcomes achieved by students are influenced by many factors. This study aims to determine the level of support of factors (motivation, interest, family, teacher's role, learning methods and learning facilities) that influence the learning process in achieving student learning outcomes in CNC learning in class XI. The subjects in the study were Class XI students majoring in Mechanical Engineering at SMK Negeri 5 Padang in the 2022/2023 academic year totalling 37 people. Because the number of research subjects (population) is less than 100 people, so all of them are taken as samples or total sampling. Data collection was carried out using observation, questionnaires and documentation. Data analysis techniques using descriptive statistical techniques. From the data analysis, it shows that of each factor studied, the learning facility factor has the lowest level of support for student academic success compared to other factors that have been studied by researchers. Therefore, learning facilities at SMK Negeri 5 Padang in CNC subjects need to be improved again to support the student learning process and achieve better learning achievements for students.