AEEJ : Journal of Automotive Engineering and Vocational Education

The Influence of Locus of Control and Student Competence on Students' Work Readiness

2025-06-30T02:48:06+00:00

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.

Design of IoT-based Vehicle Cabin Temperature and Humidity Data Acquisition System

2025-06-30T02:48:36+00:00

Occupational Health and Safety Analysis Using the HIRARC Method at Mitsubishi DIPO Bukittinggi

2025-06-30T03:41:34+00:00

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.

Analysis of Automotive Industry Competency Needs for Automotive Engineering Education Students of Medan State University in the 4.0 Era

2025-06-30T11:52:33+00:00

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.

Bending Strength Analysis of Composite Materials with Coconut Fiber Reinforcement Using Manual Hand Lay-Up Method

2025-06-30T20:32:19+00:00

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.

Performance and Fuel Efficiency Evaluation of an Injection Converter Kit Retrofit on a 100cc Four-Stroke Engine

2025-07-02T14:07:48+00:00

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 Confirmatory Factor Analysis of Career Interest Determinants among Automotive Vocational Students at Universitas Lancang Kuning

2025-07-02T14:17:58+00:00

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.