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All Journal International Journal of Innovation in Mechanical Engineering and Advanced Materials
Asaeli Tongoni Lase
Universitas Mercu Buana
Automotive Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

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Statistical Approach in Analyzing Fuel Efficiency of Diesel SUVs in Indonesia Using MATLAB Canda Lesmana Ginting; Asaeli Tongoni Lase; Farrah Anis Fazliatul Adnan; Jong Soo Rhee; Dianta Ginting
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 7 No. 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i1.28136

Abstract

The scarcity of fossil fuels and the rising environmental concerns make improving fuel efficiency in the automotive sector a critical focus. Diesel Sport Utility Vehicles (SUVs) in Indonesia, known for their high fuel consumption, significantly contribute to these challenges. This research ad-dresses the problem by investigating the factors influencing fuel efficiency in diesel SUVs availa-ble in the 2024 Indonesian market. The primary objective is to analyze the impact of engine torque, vehicle weight, and engine capacity on fuel consumption. To achieve this, we employed MATLAB as a tool for statistical analysis, using specific algorithms such as linear regression, box plot, and correlation methods to model and evaluate the data. The study found that vehicle weight and engine capacity show a strong positive correlation with fuel consumption, indicating that larger engines and heavier vehicles consume more fuel. In contrast, engine torque was found to have a weaker correlation, suggesting that factors like aerodynamics and transmission efficiency may play a more significant role. These results provide valuable insights for manufacturers in de-signing more fuel-efficient SUVs and for consumers making informed purchasing decisions. Ulti-mately, this research contributes to the development of more sustainable transportation solu-tions by highlighting the importance of optimizing vehicle design and engine specifications to re-duce fuel consumption in the near term.
Review: Optimizing Plastic Injection Processes for Enhanced Quality and Sustainable Manufacturing Asaeli Tongoni Lase; I Gusti Ayu Arwati
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 7 No. 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i1.31721

Abstract

In the automotive world, plastic products are components that cannot be separated. Almost all automotive products use plastic because it is easy to produce, and the price is relatively cheap compared to other materials. For applications such as covers, the demand on plastic surface quality are higher than for different uses. Therefore, a lot of costs are incurred to achieve this quality. However, ongoing efforts have decreased the time and expense of developing plastic molds. Many researchers have conducted studies to improve the quality of these products. This review consolidates several research articles on optimizing plastic injection processes to reduce defects and improve product quality. Techniques such as Taguchi Method, Response Surface Methodology (RSM), Artificial Neural Networks (ANN), and Finite Element Method (FEM) were evaluated in this research. This review highlights the importance of process parameters such as melt temperature, injection pressure, and cooling time, as well as the role of digital simulation in designing efficient and sustainable molds. The results of the study show that in several studies, defects often occur in the product without carrying out the optimization process. Still, the Taguchi and ANOVA methods can reduce the weld line and sink after optimizing the process parameters, such as melting temperature, injection pressure, cooling time, and injection speed. Mark up to 30%. These findings highlight the potential of these techniques to significantly improve product quality and support more sustainable manufacturing practices in the plastic injection molding industry.
Co-Authors Canda Lesmana Ginting Dianta Ginting Farrah Anis Fazliatul Adnan I Gusti Ayu Arwati Jong Soo Rhee