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All Journal Jurnal Teknik Mesin Indonesian Journal of Energy JTTM: Jurnal Terapan Teknik Mesin International Journal of Innovation in Mechanical Engineering and Advanced Materials
Tarigan, Kontan
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

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Optimizing the Purging Interval of 1 kW PEM Fuel Cell Control System in Fuel Cell Vehicles Kurniawan, Kurniawan; Tarigan, Kontan; Firdaus Sudarma, Andi; Dwi Pudjisusilo, Raden; Shidqi Khaerudini, Deni
Indonesian Journal of Energy Vol. 7 No. 2 (2024): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v7i2.210

Abstract

This study was conducted to explore and understand the duration of purging in fuel cell control systems and their application in fuel cell vehicles, a critical aspect that has a significant impact on the overall performance and efficiency of vehicles or devices that use fuel cell technology. The method adopted in this research involves modeling and simulation using a simulation platform, SIMULINK-MATLAB; modeling is carried out with a program and then validated with test data. This approach allows researchers to replicate and analyze system dynamics virtually to identify existing systems so that empirical models can be identified. Apart from that, the performance characteristics of the given parameters can be known by knowing the model and simulation before the physical implementation is carried out. From the study results, it was found that the modeling carried out with transfer function model 0.02635 s + 1.036/s + 0.04359 and validated with the test results 87.19% fit to estimation data was quite valid so that the model identification could be said to be suitable for this study.
Heat Distribution Simulation in a Square Aluminum 7075 Plate Using Laplace Equation and MATLAB Pudjiwati, Sri; Sudarma, Andi Firdaus; Tarigan, Kontan; Khaerudini, Deni Shidqi; Djajadiwinata, Eldwin
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i2.25356

Abstract

The efficient management of heat transfer from aircraft engines to the wings is vital for maintaining thermal efficiency and structural integrity in modern aircraft design. Excessive heating of the wings, caused by engine-generated heat, can negatively impact aerodynamic performance and safety. This study focuses on analyzing heat distribution in a square aluminum 7075 plate to better understand heat transfer mechanisms. Using the Laplace equation, implemented through MATLAB (2023 Online Version), we aim to simulate and analyze heat distribution on the plate. The numerical method employed in this research involves solving the Laplace equation with Neumann boundary conditions, which represent insulated edges. The Liebmann method is used to iteratively reduce error to less than 1%. Simulations are conducted on an aluminum 7075 plate of dimensions 4x10⁻² m x 4x10⁻² m under various temperature conditions at the edges. Numerical results show that at the 9th iteration, the error reaches 0.71%, while MATLAB simulations yield an error of 0.4681% at the same iteration. The heat distribution across the plate is clearly visualized, and the analysis indicates that increasing the number of grids improves both the clarity and accuracy of the simulation results. In conclusion, this study demonstrates that applying the Laplace equation via MATLAB is an effective approach for analyzing heat distribution in aluminum 7075 plates. The results show that a finer grid resolution enhances accuracy, with a 101-grid system providing particularly clear and precise heat distribution patterns. These findings contribute to the optimization of thermal system designs, especially in aviation-related applications.
Correlation Analysis of Battery Capacity, Range, and Charging Time in Electric Vehicles Using Pearson Correlation and MATLAB Regression Sanusi, Yasa; Pudjiwati, Sri; Tarigan, Kontan; Ginting, Dianta; Adnan, Farrah Anis Fazliatun; Timuda, Gerald Ensang; Darsono, Nono; Chollacoop, Nuwong; Khaerudini, Deni Shidqi
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 7, No 3 (2025): Article in Press
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.
STUDY OF FINITE DIFFERENCE METHOD IN HEAT FLOW SIMULATION OF TWO-CHAMBER THERMOS SEPARATOR MADE OF POLYPROPYLENE USING MATLAB APPLICATIONS Pandriana, Aap; Pudjiwati, Sri; Alva, Sagir; Tarigan, Kontan; Sudarma, Andi Firdaus; Khaerudini, Deni Shidqi
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v13i2.27803

Abstract

Heat transfer can be defined as transfer of energy from one area to another as a result of temperature differences in objects. This indicates heat transfer not only explains how heat energy is transferred from one object to another, but can also predict the rate of heat transfer that occurs under certain conditions. In this case, what is related to the heat flow model equation is two-chamber thermos separator where the separator is made of polypropylene. This separator functions to prevent the flow of heat from one side to the other side of the thermos tube. Polypropylene is included in the insulator category, although heat transfer still occurs. The heat transfer will be calculated using the finite difference method in parabolic partial differential equations using the Matlab application. The heat transfer process is assumed to occur by conduction, with a separator length of 1 cm. Assume the first side of the divider has a right temperature of 100°c, and the other side 20°c. The temperature point measured on the separator is located in the center of the separator. After completing the solution using the Matlab application with the finite difference method, a heat transfer flow simulation was obtained in the two-chamber thermos separator which shows the heat flow transfer at any time. At 0.1 seconds the temperature at T1 is 2.4°c, while at 10 seconds  is 65.9704°c. Then at 0.1 seconds the temperature at T4 is 0.48°c, while at 10 seconds 19.5436°c. The conclusion is in the separator of the two-chamber thermos there is significant heat flow from the side of the first tube to the other side.
STUDY OF THE NEWTON RAPHSON METHOD IN ANALYZING THE DEPTH OF FLUID FLOW IN THE WASTEWATER CANAL U RPS TKRO SMKN 1 CIRUAS USING THE MATLAB APPLICATION Susilo, R Dwi Pudji; Tarigan, Kontan; Sudarma, Andi Firdaus; Oktaviani, Ana Nur; Khaerudini, Deni Shidqi; Fitri, Muhamad
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v13i2.27624

Abstract

Abstract--Flow Depth can be defined as channel height or open channel flow depth, is an important parameter in hydraulic calculations and analysis. The depth of flow in the U channel (U channel) of the Student Practice Room (RPS) for Automotive Light Vehicle Engineering (TKRO) at SMKN 1 Ciruas often causes delayed flow congestion and full channels. Sometimes it is dry if only a few students carry out practical use of room practice and use of water and other waste. The aim of this research is to find a solution to this problem, namely by knowing the depth of flow in the channel so that in the future when designing waste water drainage channels it can be designed appropriately and in accordance with the volume of waste released. The method is to calculate the flow depth in the U channel using NEWTON RAPHSON numerical analysis and the Matlab application to determine the flow depth. The calculation result is the depth of water flow in channel U, with water flow discharge Q = 0.016 m3/s, Manning coefficient for roughness of channel walls and base n = 0.025, slope of channel bottom I = 0.003, and width of channel U B = 0.22 m, at The 11th and 12th iterations flow depth = 0.194864 m. The results of manual exact calculations in the 11th and 12th iterations, the error percentage is 0%, meaning that the flow depth is uniform at a water level of 0.194864 m. Calculations using the Matlab application obtained graphs and the iteration steps were slightly different in the 12th and 13th iterations, the flow depth results were the same = 0.194864 m. The initial guess at flow depth(h)=1, the percentage error is 25%, the uniform flow depth of the RPS TKRO SMKN 1 Ciruas U channel is 0.194864 m.Keywords : Depth of flow, NEWTON RAPHSON, Open Channel, U Channel, MATLAB
Literature Review: Development of silicone elastomer composite materials for capping machine silicone rollers Umarwan, Arie; Tarigan, Kontan
JTTM : Jurnal Terapan Teknik Mesin Vol 6 No 2 (2025): JTTM: Jurnal Terapan Teknik Mesin
Publisher : Teknik Mesin - Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jttm.v6i2.1730

Abstract

Silicone elastomers are widely used in industrial applications due to their mechanical properties and resistance to temperature and chemicals. In the manufacturing sector, particularly in bottle and jar capping machines, silicone is utilized as the base material for rollers operating under high dynamic loads. These conditions often lead to rapid wear and degradation of the silicone rollers during production processes. This study aims to review various literature sources related to the optimal composition and reinforcement methods for silicone elastomers to determine suitable formulations for roller capping applications. The research was conducted through a literature review of scientific journals published within the last ten years, focusing on the influence of filler type, crosslinker type, and composition on mechanical properties such as tensile strength, tear strength, and elongation at break. The review results indicate that a combination of fumed silica (0.2 phr) and clay (1 phr), along with a peroxide-based crosslinker (3 phr), provides the best mechanical performance, achieving a tensile strength of 6.9 MPa, tear strength of 21.5 kN/m, and elongation at break of 315%. In conclusion, the optimal reinforcement of silicone elastomers depends on the type of filler and crosslinking system used, which directly affects the material’s strength, elasticity, and thermal resistance
Co-Authors Adnan, Farrah Anis Fazliatun Andi Firdaus Sudarma Chollacoop, Nuwong Deni Shidqi Khaerudini Djajadiwinata, Eldwin Dwi Pudjisusilo, Raden Gerald Ensang Timuda Ginting, Dianta Kurniawan Kurniawan Muhamad Fitri Nono Darsono, Nono Oktaviani, Ana Nur Pandriana, Aap Pudjiwati, Sri Sagir Alva Sanusi, Yasa Sudarma, Andi Firdaus Susilo, R Dwi Pudji Umarwan, Arie