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JMES: The International Journal of Mechanical Engineering and Sciences Editorial Office Departemen Teknik Mesin, ITS Kampus ITS Sukolilo Surabaya 60111 Building C, Floor 2 Indonesia
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JMES: The International Journal of Mechanical Engineering and Sciences
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 25807471     DOI : https://dx.doi.org/10.12962/j25807471
Core Subject : Science, Engineering,
Energy Materials Science & Nanotechnology Mechanical Engineering
JMES publishes high-quality original research articles, review articles, and letters to the editor that advance mechanical engineering and related disciplines. The journal provides an international platform for researchers, academics, and industry practitioners to disseminate scientifically rigorous, innovative, and application-oriented research, bridging fundamental science with real-world engineering solutions. JMES welcomes high-quality original research and review articles covering theoretical, experimental, and numerical aspects in the following areas: Thermal and Fluid Engineering, including heat transfer, fluid flow, and energy conversion. Manufacturing and Mechanical Design, focusing on manufacturing processes, product development, and mechanical systems. Materials and Structural Engineering, covering engineering materials, structural performance, reliability, and failure analysis. Computational Engineering, emphasizing modeling, simulation, optimization, and data-driven engineering methods. Sustainable Energy Systems, addressing renewable energy, energy efficiency, energy storage, and low-carbon engineering technologies.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 192 Documents
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Dynamic Analysis of Narrow Tilting Three Wheeled Vehicle (NTTWV) with LQG Control Muhammad Fadlil Adhim; Unggul Wasiwitono
JMES: The International Journal of Mechanical Engineering and Sciences Vol 1 No 2 (2017)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v1i2.3329

Abstract

The need for compact vehicles will increase in urban areas in the future. This paper propose solution by designing a vehicle that can combine advantage of car such as comfort and safety and the advantage of motorcycle such as efficiency and lightweight. The proposed vehicle has 3 wheels, 2 front wheels as steering wheels and the rear wheel as traction wheel. Active tilting system is used to give desired roll angel that can resist the centrifugal force to maintain the vehicle stability. The goals of this research are to design dynamic model and control of NTTWV and its control system. The simulation result showed that the NTTWV rolls only 60% of ideal motorcycle rolling angle at same velocity and turning radius. The improvement of critical speed compared to non-tilting three-wheeled vehicle at steer angle = 5 deg and 10 deg are 193% and 171%.
Occupational Health and Safety Risk Assessment of Surabaya Pump Houses using the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) Method Reza Aulia Akbar; Maria Anityasari; Renaldi Jafras Arriyanto; Ignatius Dixon Melchior; Andi Candra Septaprasetya; Tri Broto Santoso
JMES: The International Journal of Mechanical Engineering and Sciences Vol 9 No 2 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i2.22624

Abstract

Heavy rainfall caused by climate change has led many Indonesian cities to build pump houses to remove excess water and prevent flooding. While pump performance is critical for protecting urban communities, the health and safety of pump house workers has received little attention. Because their work is seasonal, occupational health and safety (OHS) in pump houses is often overlooked,even though protecting workers is essential for ensuring reliable pump operations during emergencies. This study applies the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) method, commonly used in manufacturing, to assess risks in pump house operations. Field data were collected from four representative pump houses in Surabaya, with findings intended for broader application to 61 pump houses in the city. The results highlight urgent actions needed to improve worker safety and propose practical measures to strengthen OHS practices. These findings provide valuable insights for other Indonesian cities seeking to enhance their safety culture and ensure the resilience of flood control infrastructure.
Precision Computational Modeling of Wind Flow Dynamics to Optimize Wind Turbine Deployment in Nigeria’s Varied Geographical Terrains H. C. O. Unegbu; D. S. Yawas
JMES: The International Journal of Mechanical Engineering and Sciences Vol 10 No 1 (2026)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v10i1.23175

Abstract

This study presents a precision computational framework to assess and optimize wind energy potential across three major geographic zones in Nigeria: the northern highlands, coastal areas, and savannah regions. By integrating high-resolution computational fluid dynamics (CFD), geographic information systems (GIS), and hybrid optimization algorithms, region-specific wind flow characteristics and turbine layouts were modeled and evaluated. Wind resource data from ERA5 reanalysis and local meteorological observations were combined with digital elevation models to simulate site-specific atmospheric conditions and topographic effects. The CFD simulations, validated against empirical datasets, revealed that the northern highlands exhibit superior wind energy characteristics, with mean wind speeds of 7.2 m/s at 80 m hub height and turbulence intensity below 10%. Optimized turbine layouts in this region yielded an annual energy output of 3,600 MWh per turbine and a capacity factor of 42%, with minimal wake losses. Coastal and savannah regions demonstrated lower wind potential, with higher turbulence levels and reduced energy yields, highlighting the need for adaptive deployment strategies. The findings underscore the importance of terrain-sensitive modeling and hybrid optimization techniques in wind energy planning. This work provides actionable insights to guide wind farm development and policy planning in Nigeria and similar regions with heterogeneous wind profiles.
Aerodynamic Performance Analysis of Tandem Savonius Wind Turbines Influenced by Lateral Gap from Adjacent Wall Audha Fitrah Aulina; Haning Hasbiyati
JMES: The International Journal of Mechanical Engineering and Sciences Vol 10 No 1 (2026)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v10i1.23179

Abstract

This research investigates the performance of the Savonius wind turbine through a two-dimensional Computational Fluid Dynamics (CFD) analysis, employing the realizable k − ε turbulence model with enhanced wall treatment. The primary objective is to examine how variations in the gap-to diameter ratio (G/D)—defined as the distance between the centers of the turbines relative to the blade diameter—affect the aerodynamic behavior and performance of a tandem Savonius wind turbine configuration. In this study, three G/D ratios are analyzed, namely 1.75, 2, and 2.25, under a uniform freestream wind velocity of 7 m/s. The simulation results indicate that flow deflection between the turbines induces opposite rotational directions: the fore turbine rotates counterclockwise, while therear turbine rotates clockwise, particularly at higher tip speed ratios. Performance analysis reveals that the fore turbine achieves its maximum efficiency at a G/D ratio of 2, whereas the rear turbine performs optimally at a G/D ratio of 1.75.
Design, Fabrication, and Testing of a Sensor-Driven Table Tennis Trainer with Real-Time Feedback Stivan Delon Sahertian; Fahriza Fadhila; Johan Kim; Jonathan Bryan; Samuel Theodore Gunawan; Hans Sebastian; Nikolas Krisma Hadi Fernandez; Farid Triawan
JMES: The International Journal of Mechanical Engineering and Sciences Vol 10 No 1 (2026)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v10i1.23464

Abstract

This paper presents the design, fabrication, and testing of a sensor-driven training device for table tennis that provides real-time feedback. To identify ball trajectory and validate shots, the device uses infrared and sound sensors in combination with ESP32 microcontrollers in a master-slave arrangement. A goal-like structure attached to the table collects balls, while sensors assess whether a shot is valid, which is defined as a ball that bounces on the table before entering the goal. Visual feedback is provided via LED strips and an LCD display, guaranteeing that players receive immediate and intuitive performance information. Testing was done under three different conditions: infrared sensor only, infrared plus sound sensor in a quiet area, and infrared plus sound sensor in a noisy environment. The results demonstrated that, while a single infrared sensor reliably identified ball entry, it could not distinguishbetween valid and invalid shots. Combining infrared and sound sensors yielded complete accuracy in calm situations but dropped to 40% accuracy in noisy environments due to sound interference. The study addresses the lack of affordable, real-time training feedback systems for table tennis by proposing multi-sensor systems capable of distinguishing valid and invalid shots based on the contact between the ball and the table. This paper reports a validation of the proof-of-concept of a low-cost multi-sensor system, which focuses on the system’s accuracy instead of comparison of human performance.
Enhancing Biocrude and Hydrochar Production from Water Hyacinth via Hydrothermal Processing and Particle Flow Analysis Aji Nugroho; Eka Dwi Ariyanto; Sudirman Rizki Ariyanto; Lailatus Sa’diyah Yuniar Arifianti; Shu-San Hsiau
JMES: The International Journal of Mechanical Engineering and Sciences Vol 10 No 1 (2026)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v10i1.23489

Abstract

This study investigates the hydrothermal conversion of water hyacinth (Eichhornia crassipes) into biocrude and hydrochar using a continuous stainless-steel reactor (2 L, 250-350◦C, 10-25 MPa). The effects of temperature, pressure, biomass-to-water ratio (1:3 to 1:10), and residence time (30-120 min) on product yield and quality were systematically examined. Particle dynamics and fluid flow within the reactor were analyzed using Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) coupling, employing the Hertz-Mindlin contact model and Gidaspow drag law with a time step of 1 ×10−5 s. Results show that increasing temperature from 250◦C to 350◦C raised biocrude yield from 50 g to 70 g, while pressure increases (10-25 MPa) enhanced hydrochar yield from 30 g to 40 g. The optimal biomass-to-water ratio of 1:7 produced a hydrochar carbon content of 70%, and a residence time of 90 min maximized conversion efficiency at approximately 76.7%. CFD-DEM simulations revealed that higher pressures increased particle collision frequency, promoting biomass fragmentation and improving reaction surface area. These findings provide quantitative insights into optimizing hydrothermal reactor conditions for sustainable biomass conversion.
Comparative Dimensional Accuracy of Dovetail and Airfoil EDM Defect on Gas Turbine Blades Using Camera Image and Micrometer Maulana Yusuf Izzuddin; Sampurno; Muhammad Thaliban Habib Hudzaifah Na’im; Muhammad Rafi Kalevi; Bismaka Adhipramana Pinggala
JMES: The International Journal of Mechanical Engineering and Sciences Vol 10 No 1 (2026)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v10i1.23503

Abstract

Gas turbine blades experience severe thermo-mechanical loading; therefore, dimensional examination of damage features must be accurate, repeatable, and non-destructive. This study develops and validates a non-contact digital image processing workflow to quantify artificial defects produced by die-sinking electrical discharge machining (EDM) on two blade regions with distinct surface characteristics: a serrated dovetail joint and a smooth airfoil. Six defects were manufactured (three per region) with nominal depths of 0.5, 1.0, and 2.0 mm. Repeatability was assessed using 20 measurements per defect (120 total) to determine accuracy via relative error and precision via standard deviation, followed by non-parametric and variance testing, and validation against a 0.001 mm resolution digital micrometer. Planar dimensions (length and width) achieved 97.5-99.9% accuracy, with overall accuracy above 95% and no significant difference in median accuracy between regions (P = 0.577). Precision was significantly lower on the dovetail (P < 0.001), attributed to serration-driven shadows and specular reflections that degrade edge stability. Micrometer comparisons showed minimal deviation for straight line features, while airfoil measurements captured a more representative two-dimensional projected profile than chord-based contact readings. The results demonstrate a rapid, low-cost, and surface-safe inspection approach, while highlighting optical constraints that must be controlled to ensure consistent metrology on complex turbine geometries.
Experimental Study on the Flexural Performance of Sustainable Composites Utilizing Processed Solar Panel Waste Ikko Yuswanda; Yi Chieh Wu; Betti Ses Eka Polonia; Dinny Harnany; Muhammad Akhsin Muflikhun
JMES: The International Journal of Mechanical Engineering and Sciences Vol 10 No 1 (2026)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v10i1.23509

Abstract

The rise in end-of-life photovoltaic (PV) waste necessitates recycling pathways. This study pioneers the utilization of PV waste powder as a filler in Digital Light Processing (DLP) 3D-printed resin composites. Three variations, SN 2 (coarse), SN 4 (medium), and SN 6 (fine) were incorporated into a photopolymer matrix and characterized using SEM-EDX, FTIR, and flexural testing. Results reveal a 73% increase in flexural strength, peaking at 33.11 MPa for the SN 2 composite compared to 19.13 MPa for the neat resin. SEM analysis indicates that the angular silicon-based particles in SN 2 effectively diverted crack propagation and facilitated micro-mechanical interlocking, transforming the fracture mechanism from brittle failure to a toughened, energy-absorbing mode. EDX analysis confirmed high silicon purity in the reinforcing phase, while FTIR verified that the filler interaction remained purely physical, preserving the resin’s chemical stability. The finest SN 6 fraction exhibited reduced performance due to particle agglomeration driven by the highly cohesive nature of the fine powder, which acted as stress concentrators, alongside impurity concentration (Rb/Nb) in the dust. These findings demonstrate that upcycling PV waste into DLP materials offers a sustainable, low-cost solution that significantly enhances mechanical performance without requiring complex chemical modification, provided that the particle size is carefully optimized to balance dispersion and interfacial bonding.
Development of a System and Deep Learning Method for Metal Surface Corrosion Detection and Evaluation in Industrial Equipment Mohammad Rizanto Juliarsyah; Irwanda Yuni Pungkiarto; Faradilla Fauziyah Risnawati; Khoirul Anwar; Dhia Fairuz Shabrina
JMES: The International Journal of Mechanical Engineering and Sciences Vol 9 No 2 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i2.23189

Abstract

Corrosion inspection of industrial assets is still dominated by subjective and inconsistent visual inspections. This study develops and validates a deep learning-based corrosion area detection system on metal surfaces in the context of heavy equipment through a binary segmentation task (corrosion vs. non-corrosion). Three architectures were compared: UNet, VGG16–Random Forest, and VGG16–UNet, using 600 annotated images measuring 512 × 512 pixels taken under lighting conditions of 50–150 lux. The workflow included preprocessing, augmentation, training for 30, 50, and 100 epochs, and evaluation of accuracy, precision, recall, IoU/Jaccard, Dice, and confusion matrix per pixel (positive = corrosion). The results show that VGG16–UNet provides the best performance; in the 150 lux test, it achieved 98.96% accuracy, 0.9934 precision, and 0.994 recall, with good consistency across lighting variations and data scales. These findings confirm the effectiveness of a pre-trained encoder combined with skip connections to recover fine corrosion boundaries and produce reliable corrosion maps. The proposed approach has the potential to standardize the inspection process and accelerate decision-making in reliability-based maintenance practices.
Optimizing Motorcycle Combustion System for Carbon Monoxide Emission Reduction Using the Taguchi Method Lailatus Sa’diyah Yuniar Arifianti; Ata Syifa’ Nugraha; Sudirman Rizki Ariyanto; Muhammad Rasyid Ridho
JMES: The International Journal of Mechanical Engineering and Sciences Vol 9 No 2 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i2.23192

Abstract

In Indonesia, the dominance of motorcycles as the primary mode of transportation has created a significant urban air quality crisis, largely driven by exhaust emissions. Carbon monoxide (CO), a key indicator of incomplete combustion, poses a serious risk to public health and the environment. While previous studies have examined engine parameters such as spark plugs, ignition coils, or fuel quality in isolation, this study addresses a critical gap by shifting from single-factor analysis to a holistic, multi-parameter optimization. This approach is unique in its application of the Taguchi Method to identify a robust, real-world solution specifically tailored to the Indonesian context. We systematically optimized a motorcycle’s combustion system by evaluating three key parameters—fuel type, spark plug type, and ignition coil—at three levels each. Using an L9 Orthogonal Array and a smaller-the-better Signal-to-Noise (S/N) ratio, we aimed to minimize CO emissions. The results identified an optimal configuration of Mobil-brand fuel, an NGK Iridium spark plug, and a Suzuki A100 coil, which achieved a 42.03% reduction in CO emissions compared to the standard setup. Analysis of Variance (ANOVA) confirmed that fuel quality is the overwhelmingly dominant factor, contributing nearly 90% to the outcome. These findings provide a practical, low-cost emission control strategy with direct policy relevance for Indonesia, offering a clear path for vehicle maintenance shops and owners to contribute to cleaner air and support sustainable transportation goals.

Page 19 of 20 | Total Record : 192

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