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All Journal Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Bulletin of Electrical Engineering and Informatics Jurnal Teknosains Sinergi Journal of Engineering and Technological Sciences JFA (Jurnal Fisika dan Aplikasinya) Jurnal Teknik Mesin Konversi Turbo : Jurnal Program Studi Teknik Mesin Jurnal Kimia Terapan Indonesia Indonesian Journal of Chemistry Jurnal Teknik Mesin Indonesian Journal of Electrical Engineering and Computer Science IJCR (Indonesian Journal of Chemical Research) Journal of Materials Exploration and Findings International Journal of Innovation in Mechanical Engineering and Advanced Materials Journal of Bioresources and Environmental Sciences Journal Of Carbazon Jurnal Sains Materi Indonesia Journal of Batteries for Renewable Energy and Electric Vehicles
Deni Shidqi Khaerudini
Universitas Mercu Buana
Aerospace Engineering Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics

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Graphene oxide synthesis from coconut fiber powder using triple superphosphate catalyst and its potency for secondary battery electrode Marcelinus Christwardana; Adhista Fania; Deni Shidqi Khaerudini
Journal of Bioresources and Environmental Sciences Vol 3, No 2 (2024): August 2024
Publisher : BIORE Scientia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jbes.2024.19926

Abstract

Coconut fiber, considered an organic waste, emerges as a promising alternative carbon source for graphene oxide production—a material characterized by its conductive nature due to oxidation and the introduction of functional groups. The synthesis process involves carbonization with varied holding times (10, 20, and 30 minutes) and the utilization of Triple Superphosphate (TSP) and Ferrocene catalysts at concentrations of 10 wt.% and 20 wt.%. Subsequently, the sonication method is employed to enhance the electrical conductivity of graphene oxide post-carbonization. Notably, the electrical conductivity tests, conducted using a sourcemeter, revealed the optimum performance at 20 minutes of carbonization duration and a 20 wt.% TSP catalyst concentration, yielding an impressive electrical conductivity of 11,489.86 S/m. These findings underscore the significance of tailored parameters in optimizing graphene oxide synthesis for applications such as high-conductivity battery anodes.  
SIMULATION HEAT AFFECTED ZONE WELDING ON AISI 1045 STEEL USING MATLAB gunawan, hardi; Firdaus, Andi; Tarigan, Kontan; Azizi, M; Khaerudini, Deni Shidqi
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.v15i01.27335

Abstract

Abstract--In this research, AISI 1045 steel plate test objects were welded using SMAW welding. Heat input simulation of the welding process (thermal simulation) by entering the highest temperature of the heat distribution is carried out on a 140 x 140 mm plate with a thickness of 4 mm made of AISI 1045 steel. Initially, the plate has temperature limits of 700 °C, 500 °C, above 1300 °C, and below 0 °C. The bottom side of the plate is protected with constant temperature. The test object is then described using numerical methods using the MATLAB program. In this research, we can use MATLAB to develop a mathematical and numerical model that reflects the effect of the heat affected zone (HAZ) on the mechanical quality of AISI 1045. This model helps in the understanding of how the heat input provided from the welding process influences the mechanical material properties and allows us to optimize the influence of the process to obtain the desired results. Calculations carried out using the MATLAB application obtained results in the 9th iteration for errors <1%, namely 0.4681%. Large heat input results in low tensile strength, this shows that the welded joint with the electrodes used and the given welding parameters produced good joint strength.
Pengaruh Perlakuan Asam Hidrofluorat terhadap Kandungan SiO₂ dan Al₂O₃ dalam Red Mud untuk Meningkatkan Kadar Fe₂O₃ Nafisah, Sayyidatun; Hidayat, Arif; Khaerudini, Deni Shidqi
INDONESIAN JOURNAL OF CHEMICAL RESEARCH Vol. 10 No. 2 (2025): Volume 10, ISSUE 2, 2025
Publisher : Chemistry Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijcr.vol10.iss2.art1

Abstract

Red mud is a solid waste generated from the Bayer process that contains valuable metals such as Fe₂O₃, Al₂O₃, SiO₂, and TiO₂. However, to optimize red mud as an iron source, the high content of silica and alumina must be reduced, as these impurities can lower the efficiency of iron processing. This study aims to evaluate the leaching of red mud using 100 mL of 6.5 M hydrofluoric acid (HF), with variations in red mud mass (10, 20, 25 g) and stirring time (1 to 6 hours), to produce iron-rich residue. XRF analysis showed an increase in Fe₂O₃ content up to 44.65% in the 25 g sample after 6 hours. Al₂O₃ content consistently decreased, while SiO₂ decreased to 20.23% after 4 hours. XRD results revealed that the dominant phases in the residue were hematite, magnetite, and goethite, while silica and alumina phases were diminished. The optimal condition was achieved with 25 g of red mud and 4 hours of reaction time, resulting in high Fe₂O₃ content and low impurities. ICP-MS analysis of the leachate showed increasing Si and Al concentrations with longer reaction times, indicating HF selectively dissolved both elements. The novelty of this research lies in the use of HF to selectively dissolve Si and Al without affecting iron, yielding a residue with potential use as a precursor for magnetite or other iron-based materials. This method effectively reduces impurities and enhances residue quality, supporting sustainable red mud processing and circular economy initiatives.
OPTIMIZATION OF MACHINING PARAMETERS ON THE SURFACE ROUGHNESS OF ALUMINUM IN CNC TURNING PROCESS USING TAGUCHI METHOD Yunata Mandala Putra; Gerald Ensang Timuda; Nono Darsono; Nuwong Chollacoop; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 5 No. 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v5i2.21679

Abstract

In this research, Taguchi method is employed by focusing on spindle speed, feed rate, and depth of cut to optimize the CNC turning parameters for aluminum alloy 6063. The main goal of this study is to improve the surface roughness of the material. A L9 orthogonal array is used for experimentation, and the results are subsequently analyzed using ANOVA (Analysis of Variance). A spindle speed of 1300 rpm, a feed rate of 0.5 m/min, and a depth of cut of 1.5 mm are the optimal conditions to achieve the minimum average surface roughness (Ra). The main effect plot of the signal-to-noise (S/N) ratio provides significant evidence supporting the primary research goal. Furthermore, the ANOVA table reveals that spindle speed contributes 59.71%, feed rate contributes 29.80%, while depth of cut only contributes minimally at 0.72%. Based on the research findings, spindle speed and feed rate can be adjusted to control surface roughness. Both factors are highly significant in influencing the surface roughness of the material. The prediction equation from the linear regression analysis is Ra = 1.745 – 0.001024 spindle speed + 0.3000 feed rate – 0.0233 depth of cut. A coefficient of determination or R-squared value of 0.9115 indicates that the independent variables can explain 91.15% of the variation in the dependent variable. The experimental and predicted surface roughness (Ra) values have a predicted error percentage of 2.26%.
Study of Eigenvalues and Matrix Eigenvectors Using MATLAB: Vibration Systems of Multi-Purpose Vehicle (MPV) Ana Nur Octaviani; Deni Shidqi Khaerudini; Dafit Feriyanto; Gerald Ensang Timuda; Nono Darsono; Nuwong Chollacoop
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.v6i3.25351

Abstract

Vehicle vibration is a critical factor influencing both passenger comfort and vehicle performance. In this study, we analyze the multi-degree-of-freedom (MDOF) vibrational behavior of a multi-purpose vehicle (MPV) using matrix eigenvalue and eigenvector methods. The vehicle’s dynamics are modeled by developing a set of equations of motion that account for the forces acting on the front and rear tires, car body, and pitch angle. MATLAB is utilized to numerically compute the system’s eigenvalues and eigenvectors, representing the natural frequencies and vibration modes of the vehicle, respectively. The analysis focuses on the vehicle’s response to a 50 mm displacement at the front tire, simulating the effect of road disturbances. The resulting vibrations in the front and rear tires, car body, and vehicle pitch are illustrated over a 1-second time frame. The findings show that the front tire experiences the largest oscillation amplitude of ±1 mm, while the rear tire exhibits a much smaller displacement of ±0.04 mm. The overall car body displacement reaches a maximum amplitude of ±1.3 mm, indicating partial damping of the front tire vibrations. However, the results reveal that the vehicle’s suspension system lacks effective damping, as the vibrations do not decrease over time. This behavior could negatively impact ride comfort and safety, particularly on uneven roads. The study concludes that improvements to the vehicle’s suspension system are necessary to enhance damping performance. The presented MATLAB-based approach offers a valuable tool for analyzing and optimizing vehicle vibration systems.
Mechanical Properties Analysis of Stainless Steel 304 Linear Guide Rail Using Autodesk Inventor and MATLAB Muhammad Azizi; Kurniawan Kurniawan; Deni Shidqi Khaerudini; Gerald Ensang Timuda; Nono Darsono; Nuwong Chollacoop
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.v7i1.25355

Abstract

This study investigates the mechanical properties of a stainless steel 304 linear guide rail using a combination of Autodesk Inventor and MATLAB. The primary objective is to analyze the von Mises stress distribution, displacement, and safety factor of the linear guide rail under varying load conditions, as well as to develop a model representing the relationship between stress and strain. A detailed 3D model of the guide rail was created using Autodesk Inventor, followed by finite element analysis (FEA) to evaluate stress and strain distribution across different sections of the rail. The simulation was conducted to assess the structural response under multiple loading scenarios, ensuring its reliability for real-world applications. Furthermore, a linear regression analysis was performed using MATLAB to establish a predictive model correlating stress and strain, enabling more accurate forecasting of the material's mechanical behavior. The results revealed that the maximum von Mises stress obtained from the simulation was 23.595 MPa, with a corresponding maximum displacement of 0.397 mm. The safety factor analysis confirmed the rail's structural integrity, with a minimum safety factor of 10.595, well above the failure threshold. These findings indicate that the linear guide rail meets the necessary mechanical performance requirements for its intended application.
Heat Distribution Simulation in a Square Aluminum 7075 Plate Using Laplace Equation and MATLAB Sri Pudjiwati; Andi Firdaus Sudarma; Kontan Tarigan; Deni Shidqi Khaerudini; Eldwin Djajadiwinata
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 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.
FERROUS OXALATE FROM METAL WASTE FOR ADVANCED MATERIALS: A REVIEW Yasa Sanusi; Deni Shidqi Khaerudini
TURBO [Tulisan Riset Berbasis Online] Vol 15 No 1 (2026): TURBO: Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v15i1.4640

Abstract

The rapid development of the manufacturing industry, particularly in the machining sector, generates a significant volume of metal waste. Most of this waste ends up as scrap without undergoing any valuable recycling process, which poses environmental challenges and potential contamination risks. However, the large amount of waste produced contains potentially high material value, presenting opportunities to develop new approaches to waste management based on sustainability principles, thereby creating new economic opportunities. Previous research has demonstrated that metal waste can be converted into ferrous oxalate using various methods and tests, making it a valuable material. Therefore, further scientific studies are needed in the form of journal reviews of previous research to identify, analyze, and evaluate the potential of ferrous oxalate from metal waste materials to become advanced sustainable materials. The method used is a scoping review of the literature. Findings indicate that a variety of iron-rich wastes can be effectively converted into high-purity ferrous oxalate through environmentally friendly processes. Ferrous oxalate exhibits remarkable potential in energy storage, heavy metal removal from wastewater, pigment, sustainable cement, electrorheological fluids, and gas sensors. This review is expected to open new perspectives on utilizing iron waste as value-added materials with high economic value.
CHARACTERIZATION OF IRON PRODUCTION FROM MILLS CALE BY CARBOTHERMIC REDUCTION Lukman Faris Nurdiyansah; Nono Darsono; Deni Shidqi Khaerudini
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 3 No. 1 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v3i1.11575

Abstract

Millscale is a large by product of metal factory. Many methods to recycled it to many applications. The aim of this research is recycled millscale to produce the iron by reduction method with graphite as reductant agent. The reduction process was deed by milled millscale and graphite powder with 4:1 weight ratio was by used High Energy Milling with 4, 6, 12 hours milling time variations. The powder then was characterized by X-Ray Diffraction (XRD), Vibrating Sample Magnetometer (VSM) and SEM-EDS test. The XRD test result is Fe3C as a main phase then carbon, magnetite, wustite and Iron as a minor phase. The percentage of iron composition is increase during milling times amount to 6; 10.9; 13 %. The remanence for the 4, 6, and 12 hours of milling time variation, is 2.89, 3.39, and 4.98 emu/g, for the coercivity (Hc) is 209.58, 188.47, and 223.65 Oe and the magnetic saturation number is 22.59, 30.7, 39.15 emu/g, from Hc value it is concluded that the powder has superparamagnetic behavior.  From SEM-EDS is knowed that the distribution of Fe is more uniform on the surface samples with the increase of milling time.
Co-Authors Abdul Hamid Budiman Abu Bakar, Afarulrazi Ade Utami Hapsari Adhista Fania Adnan, Farrah Anis Fazliatun Afarulrazi Abu Bakar Aghni Ulma Saudi Agustanhakri, Agustanhakri Ahmad, Faozan Aiman Sajidah Abd Aziz Akhiruddin Maddu Ana Nur Octaviani Andhika Prima Prasetyo Andi Firdaus Sudarma Andrameda, Yurian Ariandi Anggito Pringgo Tetuko Annisa Azzahra Arif Hidayat Arif Tjahjono Arif Tjahjono Arif Tjahjono Asadullah, Masud Azizi, M Azizi, Muhammad Bambang Mulyanto Bambang Mulyanto Chollacoop, Nuwong Dafit Feriyanto Damisih Damisih Damisih, Damisih Damsyik, Akhmad Dani Tri Wahyudi Dani Tri Wahyudi Desi Fajarwati Destyorini, Fredina Dianta Ginting Djajadiwinata, Eldwin Edy Herianto Majlan Eldwin Djajadiwinata F. Adany Fajar Arif Kurniawan Farrah Anis Fazliatun Adnan Fira Rizky Firdaus, Andi Fitri Suryani Arsyad Fredina Destyorini Friliandita, Vivi Gea, Markus Gerald Ensang Timuda Gerald Ensang Timuda Gumelar, Muhammad Dikdik Hanif Yuliani Hapsari, Ade Utami Hardhienata, Hendradi Hardi Gunawan Hardiansyah, Andri Henry Widodo Husin, Saddam Ilham Nur Dimas Yahya Indayaningsih, Nanik Indri Susanti Indriyati Indriyati Iqbal, Rendy Muhamad Irmawati, Yuyun Isnaeni Isnaeni Jarot Raharjo Jarot Raharjo Kontan Tarigan Kurniawan Kurniawan Kurniawan Kurniawan Lukman Faris Nurdiyansah Marcelinus Christwardana Mardiyati, Mardiyati Masno Ginting Muhamad Fitri Muhammad Azizi Muljadi Muljadi Muljadi Muljadi Nada Hashida Lathifah Nafisah, Sayyidatun Nanik Indayaningsih Nisya Ulmiah Nofrijon Sofyan, Nofrijon Nono Darsono Nono Darsono Nono Darsono, Nono Nuwong Chollacoop Octaviani, Ana Nur Oka Pradipta Arjasa Oka Pradipta Arjasa Oktaviani, Ana Nur Pandriana, Aap Perdamean Sebayang Permono Adi Putro Pratama, Wisnu Pravitasari, Retna Deca Pudjiwati, Sri Putra, Yunata Mandala Retna Deca Pravitasari Retno Agnestisia Riandy Putra Rifai, Abdulloh Rike Yudianti Robi Suherman Sabilly Handi Pradana Safaat, Mukhtar Sagir Alva Sanusi, Yasa Saptari, Sitti Ahmiatri Saputra, Dita Adi Saudi, Aghni Ulma Simanjutak, Elfrida Roulina Simarmata, Sari Namarito Sinaga, Tiara Cristy Sinaga, Tiara Cristy Agatha Slamet Priyono Sri Pudjiwati SRI RAHAYU Susilo, R Dwi Pudji Taqwatomo, Galih Tarigan, Kontan Tasomara, Riesma Teguh Imam Prasetya Tommy Martin Syauta Triyanto Pangaribowo Vivi Friliandita Wahyu Mulyo Utomo Wahyu Mulyo Utomo Wahyu Tri Utami Wahyudi, Dani Tri Widodo, Aditya Putra Widodo, Henry Wulandari, Ika Octavia Yasa Sanusi Yasa Sanusi Yuliani, Hanif Yunata Mandala Putra Yuyun Irmawati Yuyun Irmawati