AEEJ : Journal of Automotive Engineering and Vocational Education
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NOx Content Analysis In Ambient Air: Public Policy Perspectives And Implications For Sustainable Development In Padang City
This paper presents data from the ambient air quality monitoring of Padang City and its implications for sustainable development public policy. Urban growth and transportation and industrial activities have the potential to increase nitrogen gas emissions. Air monitoring was conducted at strategic locations in Padang City that represent anthropogenic activities. The nitrogen gas concentration data obtained were analyzed descriptively and spatially to identify the level of pollutants in the air. Monitoring results were linked to sustainable development indicators, particularly those related to public health (SDG 3) and cities and settlements (SDG 11). This paper aims to provide input for policy makers to strategize the sustainable development of Padang city
Performance and Fuel Efficiency Evaluation of an Injection Converter Kit Retrofit on a 100cc Four-Stroke Engine
This study investigates the effectiveness of an injection converter kit as a small engine retrofit for improving torque and fuel efficiency in a 100cc four-stroke motorcycle engine. An experimental method was applied using two fuel systems: a conventional carburetor and a retrofit converter kit. Torque and fuel consumption were measured across engine speeds ranging from 3000 to 7000 rpm using a dynamometer and volumetric analysis. The injection system achieved a peak torque of 6.78 N·m at 3600 rpm, exceeding the carburetor’s 5.90 N·m at 5300 rpm. It also demonstrated improved fuel economy at most RPM levels, with a spike at 6000 rpm due to overpressure. Statistical analysis via Two-Way ANOVA confirmed the significance of these differences. The results suggest that the injection converter kit is a viable small engine retrofit option for enhancing performance and efficiency in low-displacement motorcycles
The Influence of Locus of Control and Student Competence on Students' Work Readiness
Vocational education aims to produce a competent and competitive workforce, reduce unemployment, and strengthen the industrial sector. This study uses a quantitative method with multiple linear regression analysis to evaluate data from 122 students in grades X and XI. The results show that LOC (Locus of Control) and student competence significantly influence job readiness, with a combined contribution of 17.9%. Students with an internal LOC have high motivation and effective decision-making skills, which support their job readiness. Good student competence, including knowledge, skills, and attitude, strengthens their ability to adapt to the workplace. Although LOC's contribution to job readiness is only 8.8%, student competence shows a contribution of 16.1%. These findings highlight the importance of developing LOC and competence in vocational curricula to prepare students for a competitive job market. Educators should design programs that enhance students’ technical skills and LOC, equipping them to better face career challenges
Analysis the Effect of Variation Permanent Magnet and Winding on BLDC Motor Performance Using ANSYS Maxwell Simulation
One of the driving components of electric vehicles that are often used is Brushless (BLDC) motors which have advantages such as high efficiency, large torque density, and precise speed control. This study aims to evaluate the effect of variations in permanent magnet type and stator winding configuration on the performance of Brushless DC (BLDC) motors. Two types of permanent magnets, NdFe35 and SmCo24, are compared based on their electromagnetic characteristics, such as torque, rotational speed, efficiency, and current consumption. In additional, the stator winding parameters were varied, including wire diameters between 1.3 mm and 1.6 mm and the number of conductors per slot between 14 and 23. The simulation results conducted using ANSYS Maxwell show that the configuration combining NdFe35, an optimal number of 14 conductors per slot, and a large wire diameter of 1.6 mm delivers the best performance, with a maximum torque of 325 Nm, maximum power of 2.91 kW, efficiency of 79%, and a speed of 1241.5 rpm. Although the current consumption is high, the resulting power and torque performance are proportional
Occupational Health and Safety Analysis Using the HIRARC Method at Mitsubishi DIPO Bukittinggi
Occupational safety is a critical concern in automotive workshop environments due to the high-risk nature of tasks such as engine repair, welding, and electrical diagnostics. This study investigates automotive workshop risks at the Mitsubishi DIPO Workshop in Bukittinggi by identifying hazards, assessing risk levels, and formulating workplace accident prevention strategies. The HIRARC (Hazard Identification, Risk Assessment, and Risk Control) method was applied to evaluate 28 potential hazards, two of which were classified as extreme risks. Further analysis of these risks was conducted using the Fishbone Diagram to identify root causes across six contributing factors: human, machine, material, method, environment, and management. Based on these findings, targeted risk control measures were developed following the hierarchy of control, including engineering interventions, administrative policies, and personal protective equipment. This research demonstrates how integrated methods such as HIRARC and Fishbone Diagram can support comprehensive occupational safety planning and risk mitigation in automotive workshops
The Confirmatory Factor Analysis of Career Interest Determinants among Automotive Vocational Students at Universitas Lancang Kuning
This study examines the factors influencing students’ interest in pursuing industrial careers within the Vocational Education and Automotive Technology Program at Universitas Lancang Kuning Pekanbaru. Using a quantitative approach and confirmatory factor analysis (CFA), data were collected from 74 students across three academic levels. The analysis identified two dominant dimensions: external factors (job opportunities, parental support, industry collaboration) and internal factors (personal interest, technological proficiency, practical experience), which together explained 77.135% of the variance. Variables such as industrial prestige and work environment were excluded due to low significance. The findings emphasize that industrial career interest is shaped by both institutional support and individual readiness. These results provide valuable insights for enhancing vocational education strategies through better stakeholder collaboration and targeted curriculum development
Bending Strength Analysis of Composite Materials with Coconut Fiber Reinforcement Using Manual Hand Lay-Up Method
This study investigates the mechanical performance of coconut coir fiber-reinforced composites with volume fractions of 30% and 40%, fabricated using the Manual Hand Lay-Up method. Specimens were tested under three-point bending following ASTM D790-03 to evaluate flexural strength. Results show that composites with a 30% fiber volume exhibit superior bending strength and stiffness compared to those with 40%, indicating a more optimal fiber–matrix ratio. The reduction in performance at higher fiber content is attributed to uneven resin distribution and inadequate fiber impregnation. These findings highlight the potential of coconut coir as a sustainable reinforcement material and emphasize the importance of optimizing fiber volume and manufacturing methods. The study recommends the use of alternative fabrication techniques, such as vacuum infusion, to improve resin homogeneity and mechanical reliability, particularly for structural and lightweight composite applications
Design of IoT-based Vehicle Cabin Temperature and Humidity Data Acquisition System
The rising temperature of vehicles in parking lots under the sun is a major cause of poisoning caused by harmful gases in the blood, and the most toxic gas is ammonia (NH3). Exposure to high concentrations of ammonia gas can cause lung damage and death. This research aims to design and build an Internet of Things (IoT)-based vehicle temperature monitoring system using the DHT11 sensor. The DHT11 sensor is able to detect temperature and humidity in real-time with a sufficient level of accuracy, one of the main objectives in the acquisition of temperature data in the vehicle cabin is to improve passenger comfort. Temperatures that are too high or too low can reduce ride comfort. One of the main objectives in the acquisition of temperature data in the vehicle cabin is to improve passenger comfort. Temperatures that are too high or too low can reduce ride comfort. By monitoring and controlling the temperature in the cabin in real-time, the cooling (air conditioning) and heating systems can function more efficiently to maintain the optimal temperature
Improving Student Achievement with the Application of Smart Trainers Integrated QR Code
The present research aims to demonstrate the enhancement of students' learning outcomes through the utilization of a smart trainer in conjunction with a QR code. This intelligent trainer is designed to display the voltage output values of each sensor on the motorcycle. Additionally, each sensor is designated a QR code, enabling students to comprehend the function of each sensor's performance and verify the theoretical principles linked with the corresponding QR code during practice. The educational method is implemented offline, comprising four sessions in phase F of the Merdeka curriculum. The cohort comprised 20 participants, consisting of 5 educators and 15 learners. The assessment results indicate that student learning outcomes enhanced following the provision of materials
Analysis of Automotive Industry Competency Needs for Automotive Engineering Education Students of Medan State University in the 4.0 Era
The advancement of automotive technology in the Industrial Revolution 4.0 era requires vocational education graduates to possess updated competencies aligned with industry standards. This study investigates the gap between the competencies of students in the Automotive Engineering Education Program at Universitas Negeri Medan and the needs of the automotive industry. A descriptive qualitative approach was applied, involving interviews, observations, and document analysis with stakeholders from academia and industry. The findings reveal a significant misalignment, particularly in digital automotive systems, computer-based diagnostics, and soft skills such as communication and problem-solving. The study highlights the need for curriculum revision, integration of industry-based learning practices, and enhanced collaboration between educational institutions and industry partners to ensure graduate readiness in meeting modern automotive demands