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All Journal Jurnal Teknik Mesin Science and Technology Indonesia International Journal of Innovation in Mechanical Engineering and Advanced Materials
Dianta Ginting
Universitas Mercu Buana
Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Physics

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STATISTICAL ANALYSIS OF FUEL CONSUMPTION IN HATCHBACK CARS IN INDONESIA FOR THE YEAR 2024 USING MATLAB Ginting, Ph.D, Dianta; Sukendar, Sukendar; Hasanudin, Abdul
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 13, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v13i3.28138

Abstract

Due to their affordability and compact size, the annual rise in fuel prices has prompted Indonesian consumers to opt for more fuel-efficient vehicles, particularly hatchback models. This study analyzes the key factors influencing fuel consumption in hatchback cars produced in 2024 in Indonesia using statistical analysis with MATLAB. The data analyzed includes technical specifications from various popular hatchback models in the Indonesian market, such as vehicle weight, torque, engine capacity, and engine technology. The analysis results show that vehicle weight has a moderate positive correlation (r = 0.25) with fuel consumption, meaning heavier cars use more fuel than lighter vehicles. In contrast, engine capacity and torque show weak negative correlations with fuel consumption, with correlation values of -0.13 and -0.18, respectively, suggesting that while these factors influence performance, their effect on fuel efficiency is relatively minimal. The findings highlight the critical importance of vehicle weight reduction as a key strategy for improving overall fuel efficiency. Furthermore, this study provides essential insights for consumers to select vehicles that offer a better fuel economy. It also offers valuable guidance for manufacturers looking to design more fuel-efficient and environmentally friendly cars. The potential for vehicle weight reduction to become a primary focus for increasing fuel efficiency in hatchback cars is especially emphasized, offering hope for a more sustainable automotive market in Indonesia
Significant Reduction in Lattice Thermal Conductivity of (PbTe)0.95 - (PbS)0.05 Thermoelectric Materials Through Liquid Silicon Quenching Ginting, Dianta; Nurlela, Ai; Nanto, Dwi; Mashadi; Sudiro, Toto; Kristiantoro, Tony; Rhye, Jong-Soo
Science and Technology Indonesia Vol. 10 No. 4 (2025): October
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.4.1087-1095

Abstract

Thermoelectric materials are game-changers, that have the ability to transform waste heat into electrical energy, making them a potential renewable energy solution to reduce reliance on fossil fuels. The standard metric for evaluating thermoelectric materials is the dimensionless figure of merit, ZT, which is markedly influenced by lattice thermal conductivity (ĸl ). Higher thermal transport through the lattice lowers the ZT value, reducing the material’s efficiency. Therefore, finding ways to decrease ????l is critical for boosting thermoelectric performance. In our research, we explored an innovative approach by applying a quenching technique using liquid silicon to reduce thermal conductivity (ĸT ) due to lattice vibrations. We compared the lattice conductivity (ĸl ) of materials with and without this liquid silicon quenching process. The results were striking: at 300 K, quenching lowers the lattice thermal conductivity by about 40.1 %, and at 800 K, it is still reduced by roughly 24.7%compared with pristine PbTe. Even more impressive, when compared to non-quenched (PbTe)0.95 − (PbS)0.05 alloys, at 300 K, the silicon-quenched sample attains an additional ĸl reduction of roughly 16.1 %, while at 800 K the extra decrease is about 13.0%. These findings highlight that liquid silicon quenching is a highly effective method for lowering ĸl of PbTe thermoelectric materials. This approach paves the way for developing next-generation thermoelectric materials that are more efficient, particularly for eco-friendly waste heat recovery applications. Our work opens new possibilities for sustainable energy innovation.
COMPARATIVE ANALYSIS OF THE EFFICIENCY OF HYBRID AND NON-HYBRID CARS: EFFECT OF WEIGHT, TORQUE AND PRICE Ikwal, Ahmad; Ginting, Ph.D, Dianta; Witanta, Maulana
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 14, No 3 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v14i3.31388

Abstract

Fuel serves as the primary energy source for motor vehicles, enabling them to move. Although it has been the primary energy source for several centuries, Fuel has led to various environmental issues. One of its negative impacts is that, when burned, Fuel produces carbon dioxide (CO2), a significant contributor to global climate change. Currently, this petroleum-based energy is facing a crisis. Hybrid vehicles present a solution to address this petroleum energy crisis. Recently, hybrid cars have become popular in the modern automotive industry due to their numerous advantages, especially fuel efficiency and emissions. Hybrid vehicle technology combines conventional engine technology that uses Fuel with electric motor technology. This study provides a comprehensive comparative analysis between hybrid and non-hybrid cars, focusing on fuel efficiency, vehicle weight, torque, and price parameters. The aim is to assess the economic feasibility of hybrid vehicles compared to non-hybrid cars. The methodology used is a quantitative comparative study of several hybrid and non-hybrid car models within the same class. Performance data were systematically collected from reliable sources and analyzed under standard conditions, covering various price segments ranging from 600 million to 1.6 billion rupiahs. Statistical analysis was conducted to compare fuel efficiency, torque, and vehicle weight between the two types of cars and evaluate the economic implications of these differences. The study results indicate that hybrid cars achieve significantly higher fuel efficiency, averaging 18–22 km/l, compared to 10–14 km/l for non-hybrid models (p < 0.05). This efficiency increase persists despite increasing torque and vehicle weight, demonstrating that hybrid technology improves performance without sacrificing efficiency. Additionally, cost analysis suggests that although the initial price of hybrid cars is higher, fuel savings can offset the price difference in the long term. This research is expected to serve as a reference for consumers considering cost and energy efficiency when choosing hybrid and non-hybrid cars.
Design Of Automatic Citrus Fertilizer Irrigation System Based On Photocell Timer Hariandi, Yusuf; Ginting, Dianta
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 14, No 3 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v14i3.36465

Abstract

Climate has a significant influence on nearly all aspects of plant growth, including that of citrus plants. To overcome the uncertain environment, a reliable irrigation system is essential in citrus gardens, with optimization achieved through the use of an automated irrigation system. The engineering of this automatic citrus garden fertilization irrigation system is carried out in groups on citrus plants using a photocell timer and PVC stop valve on each plant group path to facilitate maintenance and repairs if damage occurs to the automatic irrigation system without disrupting the main pipe irrigation system and other plant groups. This automatic irrigation system, in the driving engine and sprayer pump section, utilizes a machine and a sprayer pump with spare parts readily available in each region, thereby facilitating maintenance and repairs as needed. The machine and sprayer pump function to pump water and fertilizer that have previously been mixed in the mixing tank. Then the water and fertilizer will be distributed through the main pipe distribution line and the fertilization system pipe in groups using ½ inch PVC pipes and using a sprayer hose to the citrus trees. Engineering an automatic citrus fertilization irrigation system and processing carried out in groups on citrus plants will speed up the work of farmers in the garden, so that it can be more effective and more efficient, and save labor
Evaluating Vegetable Oils as Eco-Friendly Alternatives in Metal Heat Treatment : Review sukendar, Sukendar; Alva, Sagir; Ginting, Dianta
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 15, No 01 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v15i01.37136

Abstract

Recent research on sustainable heat-treatment processes highlights the strong potential of vegetable oils as environmentally benign quenching media. This review integrates thermo-physical characteristics, cooling behavior, and mechanical performance reported in key studies from 2010–2024. Vegetable oils demonstrate higher quenching severity (H-value 0.17–0.21) than mineral oils (0.11–0.14), supported by stable viscosity ranges (20.78–110.35 cSt at 40°C; 6.9–33.65 cSt at 100°C) and superior thermal conductivity (0.131–0.182 W/m°C) relative to SAE40 (0.145 W/m°C). Their mechanical performance is consistently favorable: palm kernel oil yields hardness up to 40.85 HRC, cottonseed oil ~33.25 HRC, and groundnut oil produces ~173.8 HV with yield strength reaching 805 MPa. Neem seed oil exhibits exceptional hardness (68.7 HRA) and tensile strength (2122 MPa), while marula oil significantly enhances the hardness and tensile strength of medium-carbon steels. Soybean, sunflower, and canola oils applied to AISI 1045 steel deliver hardness levels of 41–50 HRC. Impact toughness also improves, with neem oil reaching 15 J and additive-modified quenchants containing 5% metal salts achieving up to 131 J. Antioxidant-fortified oils (Irganox L109, TBHQ, Propyl Gallate) further improve oxidation resistance without impairing cooling performance. Overall, properly stabilized vegetable oils represent robust, efficient, and environmentally responsible quenching alternatives for the heat treatment of low- and medium-carbon steels.
Sustainable Corrosion Protection of Stainless Steel 316L in Marine Environment Using Electrophoretically Deposited Garlic Extract Green Inhibitor: Electrochemical and Surface Analysis Arwati, IG. Ayu; Ginting, Dianta; Feriyanto, Dafit; Golwa, Gian Villany; Yuliarty, Popi; Tarigan, Kontan; Damar, Stenlly; Khuzaimah; Mashadi, Mashadi
Science and Technology Indonesia Vol. 11 No. 2 (2026): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.2.447-456

Abstract

The increasing demand for sustainable and environmentally friendly corrosion inhibitors has driven research toward green alternatives to conventional toxic inhibitors. This study investigates the corrosion protection performance of garlic extract (Allium sativum) as an eco-friendly green inhibitor for stainless steel 316L in 3.5% NaCl marine environment. The inhibition efficiency was evaluated using electrochemical potentiodynamic polarization techniques, complemented by comprehensive surface characterization through scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM-EDX), Fourier transform infrared (FTIR) spectroscopy, Raman spectroscopy, electrochemical impedance spectroscopy (EIS), and cyclic voltammetry analysis. Electrophoretic deposition (EPD) was employed to apply garlic extract concentrations of 8, 10, and 12 mL onto SS316L specimens. Results demonstrated significant corrosion rate reduction from 0.0082732 mmpy (unprotected specimen) to 0.0014547 mmpy with 12 mL garlic extract treatment, achieving maximum inhibition efficiency of 82%. EIS revealed substantial increase in charge transfer resistance (>170 kΩ), while electrochemical analysis demonstrated mixed-type inhibition behavior with reduced corrosion current densities. SEM-EDX confirmed the formation of protective Fe2+-allicin complex layers on the metal surface, while Raman spectroscopy showed substantial reduction in corrosion products (a-Fe2O3 and y-FeOOH) formation. Cyclic voltammetry demonstrated a five-order-of-magnitude reduction in diffusion rate, confirming exceptional barrier properties. The superior performance is attributed to the chemisorption of sulfur and oxygen-containing compounds in allicin molecules onto active steel sites, forming stable protective films. This green inhibitor demonstrates excellent potential for sustainable corrosion protection in marine and industrial applications, offering an environmentally benign alternative to synthetic inhibitors.
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.
Statistical Analysis Engine Capacity, Weight, and Torque on MPV Fuel Consumption Using Regression and Correlation Algorithms Hafidz Salafuddin; Nanang K Pradipta; Farrah Anis Fazliatul Adnan; Jong Soo Rhee; Dianta Ginting
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 6 No. 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.28137

Abstract

The rapid increase in production and usage of Multi-Purpose Vehicles (MPVs) in Indonesia has led to heightened concerns over fuel consumption, environmental pollution, and economic sustainability. This study investigates the relationship between engine capacity, vehicle weight, engine torque, and fuel consumption in MPVs, aiming to provide a better understanding of how these variables influence fuel efficiency. Data from 1500 cc MPV models produced between 2023 and 2024 were collected, including technical specifications such as engine capacity, weight, torque, and reported fuel consumption. Using MATLAB, linear regression and Pearson correlation analysis were employed to analyze these relationships. The results reveal that vehicle weight has the most significant impact on fuel efficiency, exhibiting a strong negative correlation of -0.69, meaning that heavier vehicles tend to consume more fuel. Engine capacity showed a moderate negative correlation of -0.28, while engine torque had a weak correlation of -0.11, indicating that torque plays a less critical role in determining fuel consumption under normal driving conditions. The regression analysis further confirmed that vehicle weight is the most influential factor, with reductions in weight providing the greatest potential for improving fuel efficiency. These findings have important implications for both manufacturers and consumers. Automotive manufacturers are encouraged to prioritize the use of lightweight materials and advanced engineering designs to enhance fuel efficiency. Additionally, consumers can use this information to make informed decisions when selecting MPVs, focusing on models with optimized weight to reduce fuel consumption. Overall, this study contributes to ongoing efforts to develop more sustainable and fuel-efficient vehicles in the automotive industry.
Fuel Efficiency Evaluation of Automatic Motorcycles in Indonesia Using MATLAB-Based Clustering Eky Nur Fadhilla; Zelvia Monica; Farrah Anis Fazliatul Adnan; Jong Soo Rhee; Dianta Ginting
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 7 No. 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i2.31577

Abstract

The continuous rise in fuel prices in Indonesia has made fuel efficiency a crucial factor for consumers when selecting vehicles, particularly motorcycles. Automatic scooters with engine capacities below 160 cc have become increasingly popular in urban areas due to their fuel-saving benefits. This study aims to analyze the influence of engine capacity, vehicle weight, and engine torque on the fuel consumption of automatic scooters with engine capacities ranging from 109 cc to 156.9 cc. The study also considers additional performance parameters, including average fuel consumption, power output, and Power-to-Weight Ratio (PWR). Using statistical analysis and MATLAB-based modeling, the data were classified into three distinct clusters. Cluster 1 comprises scooters with engine capacities between 109 and 125 cc; Cluster 2 includes those with capacities between 150 and 160 cc; and Cluster 3 represents scooters with unique component specifications. The results show that Cluster 2 records the highest average maximum power output at 11.47 kW and torque at 14.25 Nm, while Cluster 1 has the lowest at 6.1 kW and 9.64 Nm, respectively. In terms of weight, Cluster 3 is the heaviest, averaging 129.33 kg, while Cluster 1 is the lightest at 96.14 kg. Fuel efficiency is highest in Cluster 1 at 55.3 km/l and lowest in Cluster 3 at 38.67 km/l. Comparative analysis using MATLAB confirms that scooters with lower engine capacities and weights tend to be more fuel-efficient, whereas higher engine capacities lead to increased torque, power, weight, and fuel consumption. These findings can guide consumers in selecting motorcycles that align with their usage needs and assist manufacturers in developing more efficient and high-performing scooters tailored to diverse market segments.
Correlation Analysis of Battery Capacity, Range, and Charging Time in Electric Vehicles Using Pearson Correlation and MATLAB Regression Yasa Sanusi; Sri Pudjiwati; Kontan Tarigan; Dianta Ginting; Farrah Anis Fazliatun Adnan; Gerald Ensang Timuda; Nono Darsono; Nuwong Chollacoop; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 7 No. 3 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i3.31800

Abstract

The increasing adoption of electric vehicles (EVs) reflects growing global awareness of climate change and air pollution challenges. As a sustainable alternative to conventional internal combustion vehicles, EVs produce zero tailpipe emissions and can significantly reduce carbon emissions—particularly when powered by renewable energy sources. However, one of the primary barriers to widespread EV adoption remains the high cost of battery components, which are essential to vehicle performance and energy storage. In Indonesia, two dominant battery types used in EVs are Lithium Ferro Phosphate (LFP) and Nickel Manganese Cobalt (NMC), each offering distinct advantages. LFP batteries are recognized for their thermal stability and longer life cycles, making them suitable for everyday use, while NMC batteries offer higher energy density and are preferred for performance-focused and long-distance applications. This study aims to evaluate the correlation between battery capacity, driving range, and charging time for LFP and NMC batteries using Pearson correlation and regression analysis through MATLAB simulation. The results indicate a strong and statistically significant correlation among the key parameters, with a Pearson coefficient of 0.576 for battery capacity and range, and an R-square value of 0.99 for the regression model, demonstrating high predictive accuracy. Furthermore, the analysis reveals that LFP batteries have a higher average energy efficiency of 7.53 km/kWh compared to 6.84 km/kWh for NMC batteries, indicating more consistent performance in energy usage. These findings offer valuable insights for optimizing battery selection in EV applications and contribute to strategic planning for the development of more efficient electric vehicle systems. The combination of statistical and simulation-based analysis provides a robust foundation for future research and policy-making in the field of electric mobility.
Co-Authors Adnan, Farrah Anis Fazliatul Adnan, Farrah Anis Fazliatun Asaeli Tongoni Lase Baehaqi Canda Lesmana Ginting Chollacoop, Nuwong Dafit Feriyanto Damar, Stenlly Deni Shidqi Khaerudini Dwi Nanto, Dwi Eky Nur Fadhilla Fadhilla, Eky Nur Farrah Anis Fazliatul Adnan Farrah Anis Fazliatun Adnan Gerald Ensang Timuda Gerald Ensang Timuda Gian Villany Golwa Ginting, Canda Lesmana Hafidz Salafuddin Hariandi, Yusuf Hasanudin, Abdul I Gusti Ayu Arwati Ikwal, Ahmad Jong Soo Rhee KHUZAIMAH Kontan Tarigan Lase, Asaeli Tongoni Mashadi Mashadi Mashadi Monica, Zelvia Nanang K Pradipta Nono Darsono Nono Darsono, Nono Nurlela, Ai Nuwong Chollacoop Pradipta, Nanang K Pudjiwati, Sri Rhee, Jong Soo Rhye, Jong-Soo Sagir Alva Salafuddin, Hafidz Sanusi, Yasa Sri Pudjiwati Sukendar Sukendar Tarigan, Kontan Tony Kristiantoro, Tony Toto Sudiro Witanta, Maulana Yasa Sanusi Yuliarty, Popi Zelvia Monica