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Vivien Suphandani Djanali
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JMES The International Journal of Mechanical Engineering and Sciences Editorial Office Jurusan Teknik Mesin, ITS Kampus ITS Sukolilo Surabaya 60111 Building C, Floor 2 Indonesia
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Kota surabaya,
Jawa timur
INDONESIA
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
Topics covered by JMES include most topics related to mechanical sciences including energy conversion (wind, turbine, and power plant), mechanical structure and design (solid mechanics, machine design), manufacturing (welding, industrial robotics, metal forming), advanced materials (composites, nanotube, metal foam, ceramics, polymer), metallurgy (corrosion, non-destructive testing, heat treatment, metal casting), heat transfer, fluid mechanics, thermodynamics, mechatronics and controls, advanced energy storage and devices (fuel cell, electric vehicle, battery), numerical modelling (FEM, BEM).
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 181 Documents
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Occupational Health and Safety Risk Assessment of Surabaya Pump Houses using the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) Method Akbar, Reza Aulia; Anityasari, Maria; Arriyanto, Renaldi Jafras; Melchior, Ignatius Dixon; Septaprasetya, Andi Candra; Santoso, Tri Broto
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

Anticipating the impact of heavy rain triggered by climate change, almost all cities in Indonesia have built pump houses to suck up rainwater and puddles on city streets. The performance of the pump to drain and prevent flooding is very important for the people in the city. Unfortunately, not enough attention has been given to ensuring the health and safety of workers in pump houses. The welfare of pump house workers tends to be neglected because the seasonal nature of rain always makes the health and safety of workers in pump houses not a priority. In fact, improving the health and safety of pump house workers will increase the readiness of pump houses to be operated on time when needed. This paper describes the application of the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) method commonly used in manufacturing companies to identify, evaluate, and mitigate risks related to the health and safety of workers in pump houses. Samples were taken from 4 different pump houses in Surabaya City, which can then be applied to 61 other pump houses. The results of the study indicate that several actions must be taken immediately to ensure the health and safety of workers. The findings presented in this paper will be useful for other cities in Indonesia to improve the safety culture in the country. 
Optimizing Motorcycle Combustion System for Carbon Monoxide Emission Reduction Using the Taguchi Method Arifianti, Lailatus Sa’diyah Yuniar; Irawan, M. Bahrul Ilmi; Nugraha, Ata Syifa'; Ariyanto, Sudirman Rizki; Ridho, Muhammad Rasyid
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 like 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 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.
Development of a System and Deep Learning Method for Metal Surface Corrosion Detection and Evaluation in Industrial Equipment Juliarsyah, Mohammad Rizanto; Yuni Pungkiarto, Irwanda; Risnawati, Faradilla Fauziyah; Anwar, Khoirul; Shabrina, Dhia Fairuz
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.
Performance of a Savonius Turbine with Circular Cylinders Installed in Front of the Convex Blade and Next to the Concave Blade Dhia Fairuz Shabrina; Tri Yogi Yuwono
JMES: The International Journal of Mechanical Engineering and Sciences Vol 9 No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.21959

Abstract

Energy demand is found to be increasing alongside population growth. With fossil energy resources depleting, the necessity for utilizing renewable energy sources, such as wind energy, is recognized. The Savonius wind turbine, characterized by simple construction and the ability to operate at low angular speeds, is noted for its poor efficiency. Circular cylinders were installed to evaluate their impact on turbine performance. Experiments were conducted using two configurations. In the first configuration, a circular cylinder was placed beside the concave blade. In the second configuration, circular cylinders were installed next to the concave blade and in front of the convex blade. Circular cylinders with a diameter of 0.5 times that of the turbine blade were utilized. Wind speeds were varied at 4, 5, 6, and 7 m/s. The coefficients of moment, power, and static torque were obtained. Analysis indicated that the addition of the cylinders in both configurations did not significantly enhance the coefficients of power and moment, but did improve the turbine's ability to self-start. For the turbine with the circular cylinder installed, increasing wind speed resulted in decreasing relative performance compared to the conventional turbine.
Human Performance and Cybersickness Evaluation of Mixed Reality Device for Immersive Assembly Simulation Training: A Case Study of Microsoft Hololens 2 Reza Aulia Akbar; Chiuhsiang Joe Lin; Retno Widyaningrum; Adithya Sudiarno; Maria Anityasari
JMES: The International Journal of Mechanical Engineering and Sciences Vol 9 No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.22480

Abstract

A Mixed Reality device is a new technology that provides immersive training experiences. One of the mixed reality technology with high immersion, high interaction, and high information is Microsoft Hololens 2. Smart glasses are classified as OST-HMDs (Optical See-Through Head-Mounted Displays), which display augmented objects in a mixed-reality environment. The use of HMDs can cause cybersickness symptoms that users feel. This study aims to assess the human performance and cybersickness of Hololens 2 for immersive training. The training object was an augmented assembly engine comprising six parts. Using Hololens 2 as an assembly simulator training, participants experienced a significant increase in performance and learning rate with minor errors. Hololens 2 produces light symptoms that the user perceives as general discomfort, fatigue, difficulty focusing, sweating, difficulty concentrating, and blurred vision. However, Hololens 2 experienced negligible symptoms based on the cybersickness factor: Nausea (3.98), Oculomotor (6.32), and Disorientation (2.32). Based on the SSQ scoring matrix assessment, Hololens 2 obtained an SSQ score of 4.48, which is classified as a minor symptom of cybersickness.
Oxide Dispersion Strengthened Steels: Precipitation Kinetics and Matrix Phase Transformation Hyginus Chidiebere Onyekachi Unegbu; Danjuma S. Yawas; B Dan Asabe; A A Alabi
JMES: The International Journal of Mechanical Engineering and Sciences Vol 9 No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.21705

Abstract

Numerical study of the installation configuration of four Savonius hydrokinetic turbines in the cooling water channel of PAITON Power Plant Oktafika Wulaningtyas; Tri Yogi Yuwono
JMES: The International Journal of Mechanical Engineering and Sciences Vol 9 No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.21937

Abstract

The energy crisis caused by decreasing fossil fuel reserves encourages the development of renewable energy, one of which is water energy from rivers, lakes, and canals. The Paiton PLTU cooling water channel, which is 2 km long, 15 m wide, and 10 m deep with a flow speed of 1-2.8 m/s, has great potential as an energy generator by installing a Savonius hydrokinetic turbine. This study aims to identify the optimal tandem spacing to avoid turbine interaction. This study uses numerical simulations using Ansys Fluent 2023 R2 with four tandem turbines rotating Counterclockwise and Clockwise. The distances between the turbines (T/D) studied are 2.1, 4.4, 60, and 300. At close T/D distances (2.1 and 4.4), the turbines influence each other, reducing the performance of the front turbine. When the distance increases to T/D = 60, the rear turbine influence decreases, so the front turbine can perform similarly to a single turbine. At T/D = 300, both turbines operate optimally with minimal interaction, achieving efficient performance and increased torque and power output.
Path Planning Optimization of Automated Ground Vehicle in Inspecting Boeing 757-200 Aircraft Using Genetic Algorithm and Simulated Annealing Methods Mohammad Khoirul Effendi; Ryan Filbert Wijaya; Aida Annisa Amin Daman
JMES: The International Journal of Mechanical Engineering and Sciences Vol 9 No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i1.22396

Abstract

Transportation plays a critical role in modern society, with air travel being a key component of long-distance mobility. Despite strict regulations by the Federal Aviation Administration (FAA) and mandatory periodic inspections, aircraft maintenance issues often arise due to human error. Factors such as fatigue and the challenges of working in hard-to-reach areas contribute to these errors. Automated Ground Vehicles (AGVs) equipped with automated inspection systems offer a promising solution by reducing reliance on human performance, enabling inspections that are more accurate, efficient, and automated. However, optimizing inspection routes to minimize travel distance remains a challenging issue. This study aims to optimize the inspection distance for AGVs inspecting the underside of a Boeing 757-200 aircraft using MATLAB R2023a simulation tools. The input data for the simulation consists of the x, y, and z coordinates of various inspection points on the aircraft, and the output is the total distance travelled by the AGV during inspection. The objective is to minimize the travel distance, calculated as a vector from one point to the next. Two optimization methods to be compared include Simulated Annealing (SA) and Genetic Algorithm (GA). The SA method involves varying parameters such as the number of iterations, initial temperature, and cooling rate. Meanwhile, the GA method varies the number of iterations, population size, and crossover and mutation percentages. The study evaluates the performance of both methods using a dataset of 34 inspection points. The results show that Simulated Annealing produces the most optimal path-planning distance, achieving a minimum of 85.099 meters across all parameter variations. This optimized solution contributes to more efficient and reliable aircraft maintenance processes, reducing human error and enhancing air travel safety and reliability.
Static Load Analysis of Various Wing Spar Profiles: A Comparative Study between Mathematical and Finite Element Methods Widyawasta Widyawasta; Alief Wikarta
JMES: The International Journal of Mechanical Engineering and Sciences Vol 8 No 1 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v8i1.20060

Abstract

Unmanned aerial vehicles (UAVs) have become increasingly essential in both civilian and military contexts, serving various roles such as surveillance, mapping, cargo transport, and specialized tasks. The demand for long-endurance surveillance UAVs is critical for covering vast areas continuously, prompting the development of Medium Altitude Long Endurance (MALE UAV). This paper explores the structural strength analysis of various wing spar profiles of MALE UAV using mathematical analysis and Finite Element Method (FEM) under static loads. The wings, pivotal for generating lift, are subjected to rigorous operational loads, necessitating robust structural reliability. While mathematical analysis provides fundamental insights, FEM allows for detailed simulations under various conditions. Comparative studies between mathematical analysis and FEM are conducted to validate the structural strength of MALE UAV wings, with a focus on different spar profiles. Aluminum Al7075-T6 is used as the material, with convergence tests ensuring FEM accuracy. The comparative analysis highlights significant variations in normal and shear stress among different spar profiles, with the widest disparities observed at the wing root, 6.40 and 1 MPa resp., and the least, 1.51 and 0.63 MPa, close to the wing tip position at 6.75 m. These insights underscore the critical role of structural integrity in optimizing UAV performance and reliability.
Optimization of Process Parameter in the development of Ecofriendly Brake-pad from Coconut Fruit Fiber (Coir L.) And Oyster Sea Shells (Magallana-Gigas L.) Second Justice Eziwhuo; C. V. Ossia; M.M. Ojapah
JMES: The International Journal of Mechanical Engineering and Sciences Vol 8 No 1 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v8i1.16418

Abstract

Coconut Fruit fiber, CFF (Coir L.) and Oyster Sea Shells, OSS (Magallana-gigas L.) were gathered from the waste peel and suspended in sodium hydroxide (NaOH) solution for 12h to remove the unwanted remnant. The fibers were washed with water to remove the residual NaOH and sun-dried for 5 days. The dried CFF and OSS was grounded into powder-form using electric grounding machine. Thereafter sieved to 75, 125 and 175µm grain size. The based materials, CFF and OSS were prepared into organic-based brake pads by compressive molding with different formulations of base materials, epoxy resin, hardener, graphite friction modifiers and copper chips. A commercially brake pad were used as control. The characterization of the brake pad produced are mostly influenced by molding pressure and grain sizes, respectively. Hence, the density, hardness, compressive strength, and tensile strength test values decreased with increase in grain size. Finally, the optimal values of all responses fall within standard requirements of brake pads as it compared favorably with commercially brake pads. Therefore, it can be concluded that the characterization of the developed brake pad compares satisfactorily and is capable of producing less vibration and noise during application of braking due to its high mechanical properties. Therefore, coconut fruit fibers and oyster sea shells can serve as a possible replacement for asbestos brake pad production.

Page 10 of 19 | Total Record : 181

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