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Jurnal Polimesin
Published by Politeknik Negeri Lhokseumawe
ISSN : 16935462     EISSN : 25491199     DOI : http://dx.doi.org/10.30811/jpl
Core Subject : Science, Engineering,
Automotive Engineering Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering
Polimesin mostly publishes studies in the core areas of mechanical engineering, such as energy conversion, machine and mechanism design, and manufacturing technology. As science and technology develop rapidly in combination with other disciplines such as electrical, Polimesin also adapts to new facts by accepting manuscripts in mechatronics. In Biomechanics, Mechanical study in musculoskeletal and bio-tissue has been widely recognized to help better life quality for disabled people and physical rehabilitation work. Such a wide range of Polimesin could be published, but it still has criteria to apply mechanical systems and principles. Exceeding the limitation has been a common reason for rejection by those outside the scope. Using chemical principles more than mechanical ones in material engineering has been a common reason for rejection after submission. Excessive exploration of the management within the discipline of Industrial Engineering in the manufacturing technology scope is also unacceptable. The sub-scope biomechanics that focuses on ergonomics and does not study movement involving applied force on the bio-tissue is also not suitable for submission.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 26 Documents
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Search results for , issue "Vol 24, No 1 (2026): February" : 26 Documents clear
Intelligent multi-model system for surface roughness prediction in CNC turning of multiple materials Rohmat, Rohmat; Aryntya Firia Ferlania, Dianda; Frediansah Mukminin, Donni
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8185

Abstract

Surface roughness is a critical indicator of machining quality that directly affects product performance and service life. However, most existing prediction studies focus on single-material machining and rely on a single predictive model, limiting their effectiveness in real industrial environments where multiple materials are commonly processed. To address this gap, this study proposes an intelligent multimodel system for surface roughness prediction in CNC turning of multiple materials. The experimental investigation was carried out using two commonly applied steels, ST41 and S45C, with 81 machining trials performed for each material. Vibration signals were recorded using a three-axis accelerometer and combined with machining parameters consisting of feed rate, spindle speed, and depth of cut. The acquired signals were analyzed in both time and frequency domains through Fourier transformation, resulting in the extraction of eighteen vibration-related features that were normalized and used as model inputs. Three prediction techniques, namely Multiple Linear Regression, Support Vector Regression, and Artificial Neural Networks, were developed and integrated within the proposed system. System performance was evaluated using Mean Absolute Percentage Error (MAPE) and statistically analyzed through one-way ANOVA and Tukey post-hoc tests. The results demonstrate that the ANN model consistently achieved the highest prediction accuracy, with MAPE values of 2.81% for S45C, 4.72% for ST41, and 4.42% for the combined-material dataset, outperforming the Regression and SVR models. These results confirm that the proposed intelligent multimodel system provides a robust, accurate, and practical solution for vibration-based surface roughness prediction in CNC turning of multiple materials.
Integration of taguchi method and digital metrology for precision fused deposition modelling of PLA-based vibration-damping components Yudistiro, Danang; Junus, Salahuddin; Prasetiyo, Dani Hari Tunggal; Rahmawati, Istiqomah; Amini, Helda Wika; Rizkiana, Meta Fitri
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8352

Abstract

This study integrates the Taguchi method and 3D digital metrology to improve dimensional accuracy in the Polylactic Acid (PLA)-based Fused Deposition Modelling (FDM) process. The research focuses on the fabrication of vibration-damping roller components in a Continuously Variable Transmission (CVT) system that demands high geometric precision. A Taguchi L9 experimental design was used to analyze the effects of layer height, extrusion temperature, and filling density on the volume deviation of the printed product. The evaluation was conducted using 3D scanning and analyzed using the Signal-to-Noise (S/N) ratio and Analysis of Variance (ANOVA). The optimal parameter combination was obtained at a layer height of 0.25 mm and an extrusion temperature of 220 °C, resulting in the minimum volume deviation and the highest process stability. The ANOVA results identified layer height as the most dominant factor, followed by extrusion temperature, while filling density had a relatively small effect. Validation tests showed good agreement between the predictions and the experimental results. These findings confirm the effectiveness of integrating the Taguchi method with digital metrology in supporting the development of PLA-based precision additive manufacturing for sustainable automotive component applications.This study integrates the Taguchi method and 3D digital metrology to improve dimensional accuracy in the Polylactic Acid (PLA)-based Fused Deposition Modelling (FDM) process. The research focuses on the fabrication of vibration-damping roller components in a Continuously Variable Transmission (CVT) system that demands high geometric precision. A Taguchi L9 experimental design was used to analyze the effects of layer height, extrusion temperature, and filling density on the volume deviation of the printed product. The evaluation was conducted using 3D scanning and analyzed using the Signal-to-Noise (S/N) ratio and Analysis of Variance (ANOVA). The optimal parameter combination was obtained at a layer height of 0.25 mm and an extrusion temperature of 220 °C, resulting in the minimum volume deviation and the highest process stability. The ANOVA results identified layer height as the most dominant factor, followed by extrusion temperature, while filling density had a relatively small effect. Validation tests showed good agreement between the predictions and the experimental results. These findings confirm the effectiveness of integrating the Taguchi method with digital metrology in supporting the development of PLA-based precision additive manufacturing for sustainable automotive component applications.
Anthropometry–Kansei for ergonomic assistive device design Andriani, Meri; Dewiyana, Dewiyana; Adlie, Taufan Arif; Nurmalawati, Nurmalawati; Nadya, Yusri; Sari, Leni Putma; Revanza, Bayu; Novianda, Novianda; Yusnawati, Yusnawati
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8345

Abstract

Manual work using non-ergonomic tools at the packaging station causes workers to bend over for long periods. This condition can increase the risk of Musculoskeletal Disorders (MSDs), thereby reducing worker productivity. The objectives of this study were to determine the greatest pain complaints from workers, design ergonomic aids to reduce MSDs complaints, and analyze worker responses to the ergonomic aids created. The methods used included worker anthropometric measurements, percentile determination, statistical tests to ensure data usability, and Kansei Engineering to identify worker interest in the tool. Results and discussion, popliteal length, popliteal height, and hip width are the dimensions used to design the tool. All dimensions were tested statistically. In the data sufficiency test, all data were declared valid, the data reliability test was declared reliable, and the data normality test stated that the data were normally distributed. The percentile used was the 50th percentile. Worker responses to the tool were evaluated using Kansei Engineering using nine Kansei words. All Kansei words were declared valid with values (0.407- 0.850) exceeding the r-table value, and the reliability test (0.707- 0.791) was declared greater than the Cronbach Alpha limit (5%), so all Kansei words were reliable. In conclusion, the ergonomic aids for packaging workers have a length of 43.65 cm, a height of 44.40 cm, and a width of 33.35 cm, while the evaluation of the aids produced seven descriptors with the highest scores, namely comfortable to use (0.940), safe to use (0.935), light (0.911), easy to use and move (0.913), simple design (0.920), flexible to use (0.951), and very functional when used in the workplace (0.938).
Displacement and Von Mises stress analysis in hydraulic actuator cylinder materials for military vehicle applications Simbolon, Massuradi; Asrori, Asrori; Adiwidodo, Satworo; Susilo, Sugeng Hadi
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8697

Abstract

Material selection is crucial for ensuring the structural reliability of hydraulic actuator cylinders operating under high-pressure and dynamic loading conditions. Conventional methods, which focus on cost or manufacturing ease, may neglect detailed performance analysis, leading to local stress concentrations exceeding material strength. This research addresses this issue by comparing the performance of AISI 1020, AISI 1035, and AISI A2 tool steel using Finite Element Analysis (FEA) and conducting experimental testing to assess displacement, Von Mises stress distribution, and safety factor under various loads (450 N, 900 N, and 1350 N). The experimental results show that AISI A2 performed best in structural response with the highest safety margin, AISI 1035 exhibited the highest stress, and AISI 1020 exhibited the highest displacement. In FEA, AISI A2 showed a controlled maximum displacement of 0.28 mm with a safety factor of 3.94, compared with AISI 1020, which reached 0.82 mm and a safety factor of 1.23. The findings support the significant influence of material mechanical properties on actuator structural integrity and confirm that AISI A2 provides the highest resistance to deformation and stress concentration. The study demonstrates the effectiveness of FEA in optimizing actuator material selection for high-load applications.
Energy content analysis of extruded briquettes: effects of mesh granularity and corn cob-to-coconut shell residue blend composition Mubarok, Khamdi; Prasetyo, Teguh; Pratama, Ian Budi
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.7244

Abstract

The conversion of agricultural residues into biomass briquettes presents a sustainable alternative for energy generation, addressing waste management challenges, reducing fossil fuel dependence, and mitigating carbon emissions. This study analyzes the influence of material mesh granularity and corn cob-to-coconut shell residue blend composition on the energy content and quality metrics of extruded briquettes. The primary objective is to investigate the effects of formulation parameters on energy yield (calorific value), structural durability (shatter index), and ash content. Employing an experimental approach combined with statistical analysis (Analysis of Variance (ANOVA) and Friedman test), the impacts of varying mesh sizes and compositional mass ratios were systematically evaluated. The results showed that calorific values ranged between 4,739–5,143 cal/g, ash content varied from 14.95–23.62%, and the shatter index from 0.04–1.33%. The optimal performance was obtained at 50 mesh with 70% corn cob charcoal and 30% coconut shell residue, yielding the highest calorific value (5,143 cal/g), the lowest ash content (16.66%), and excellent durability (shatter index 0.04%). Statistical analysis (ANOVA and Friedman test) confirmed that both particle size and blending ratio significantly affected all quality metrics (p 0.05). These findings provide actionable insights for enhancing energy content and overall quality of extrusion-derived briquettes from agricultural residues. The research underscores the essential role of precise material selection and parameter control in developing efficient and sustainable solid biomass fuels.
The impact of nozzle temperature on the shrinkage of annealed 3D printed PLA Sugianto, Sugianto; Meriatun, Meriatun; Pristiansyah, Pristiansyah; Ramli, Ramli; Wardiyah, Atikah Araminta; Hasdiansah, Hasdiansah; Herianto, Herianto
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8196

Abstract

Thermal annealing is used to strengthen the mechanical performance and thermal stability of fused deposition modeling (FDM) parts made from polylactic acid (PLA). This treatment frequently introduces dimensional shrinkage, compromising geometric accuracy and limiting the reliability of printed components in demanding applications. Among the printing parameters, nozzle temperature is a key variable because it influences melting behavior, interlayer diffusion, and the buildup of internal stresses, yet its role in managing shrinkage after annealing has not been clearly established. This study evaluates the influence of nozzle temperature on the anisotropic shrinkage of annealed PLA specimens across different specimen lengths and measurement directions (X and Y), with the main analysis conducted at selected nozzle temperatures ranged 195-230°C. Dimensional changes were quantified before and after annealing at 100°C for 60 min, and statistical evaluation was performed using analysis of variance (ANOVA) with post-hoc testing based on replicated specimens. The results confirm nozzle temperature as a significant contributor to shrinkage behavior, F (2,36) = 30.90, p 0.001, partial η²=0.63. Printing at 230°C consistently yielded the smallest dimensional reduction, outperforming both 210°C and 220°C. Within the examined range, 230°C emerges as the most effective nozzle setting for minimizing annealing-induced shrinkage, offering a practical processing window to improve dimensional accuracy and functional reliability in FDM-printed PLA parts.
Design, simulation, and experimental validation of a 50 kg biomass-fired coffee drying oven Nuramal, Agus; Jaya, Efran Riansyah Rahmat; Suryadi, Dedi; Zuliantoni1, Zuliantoni; Hardiansyah, Hardiansyah; Putra, Rama Dani Eka
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8603

Abstract

Despite coffee is one of the leading commodities in Bengkulu Province, the traditional drying process of coffee beans for 10-14 days are still a common practice. This research aims to design, fabricate, and evaluate the thermal performance of a 50 kg capacity wood-fueled coffee drying oven. A three-dimensional CFD model was developed using ANSYS Fluent to analyze temperature distribution within the drying chamber and optimize thermal performance prior to fabrication. Experimental testing was conducted to validate the numerical predictions under controlled operating conditions. The proposed technology is distinguished by its use of locally available biomass fuel. The results of the coffee drying oven simulation, under empty conditions, achieved the desired temperature based. The drying time for coffee beans in this research was 9 hours, achieving a moisture content of 10% to 13% (a moisture content of 12.5% is the Indonesian National Standard. Simulation results predicted chamber temperatures ranging from 67°C to 87°C with an inlet temperature of approximately 100°C, indicating adequate thermal conditions for drying. Experimental measurements showed good agreement with the CFD model, reaching near-steady thermal conditions within 25 minutes.
Effect of torrefaction temperature and HDPE binder addition on the physicochemical and combustion properties of elephant grass bio pellets Khan, Nani Siska Putri; Setiawan, Adi; Hakim, Lukman; Hasibuan, Zulfikar; Riskina, Shafira
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8360

Abstract

This study investigates the effect of torrefaction temperature and the addition of HDPE binder on the physical, chemical, and combustion properties of elephant grass (Pennisetum purpureum) biopellets. The samples were torrefied at 225°C and 275°C, with an HDPE plastic added at concentrations of 0, 5, 10, 15, and 20%. The results showed that higher torrefaction temperatures substantially reduced the solid yield due to the thermal decomposition of hemicellulose and cellulose, while simultaneously increasing fixed carbon and ash content. Apparent density and drop resistance showed a positive correlation with the addition of HDPE, indicating improved durability and structural integrity of the pellets. The hydrophobicity test revealed longer water penetration times with increasing HDPE content, demonstrating enhanced moisture resistance, although a slight decline was observed at 275°C due to polymer degradation. During combustion, pellets torrefied at 275°C exhibited a faster temperature rise and more stable mass reduction compared to those processed at 225°C, reflecting better combustion efficiency and heat transfer performance. The relationship between proximate analysis and combustion showed that lower Volatile Matter (VM) and higher fixed carbon contents contributed to improved thermal stability and controlled combustion behavior. These findings confirm that torrefaction at 275°C combined with a 15% HDPE binder produces high-quality biopellets with superior mechanical strength, hydrophobicity, and combustion performance, making them a promising candidate for sustainable and efficient bioenergy systems.
Design and development of a microcontroller-based automatic wet scrubber system for welding smoke control using CO and gas indicator sensors Jufri, Jufri; Sulfiana, Enni; Karim, Saktiani; Anwar, Muhammad Ridwan; Alviansyah, Rival; Jayakusuma, Bintang; Wirawan, Yuda Agung
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8225

Abstract

Welding workshops are one of the work environments with a high potential for air pollution due to welding smoke containing heavy metal particles and hazardous gases such as Carbon Monoxide (CO). This research aims to design and build a wet scrubber-based welding smoke cleaning device that works automatically using a gas sensor and a microcontroller system. This system consists of an exhaust fan, a diaphragm pump, a drum filter containing activated charcoal and stone, and MQ-2 and MQ-7 sensors that detect smoke. The system automatically activates when hazardous gases are detected. System calculations show an air flow rate of 258.84 m³/hour and a pump water flow rate of 0.00208 m³/minute. This device was designed with space efficiency, low power consumption (90 W), and ease of maintenance in mind. Each experimental condition was tested for 10 minutes and repeated three times. MQ-2 and MQ-7 sensor readings were recorded at 1- second intervals. The inlet (Cin) and outlet (Cout) values were obtained from the average stabilized sensor readings measured before and after the activation of the wet scrubber system. The experimental results showed that the proposed system achieved relative reductions of up to 19.41% for smoke indicator readings and 17.55% for CO readings at full water flow rate, while reductions of 13.69% (smoke) and 15.28% (CO) were observed at half water flow rate. These results are based on sensor-based relative measurements and indicate the practical performance of the prototype system. This research is expected to provide a practical solution for maintaining air quality in small to mediumscale welding workshops.
Experimental study of the physical and mechanical properties of particleboard reinforced with eggshell, wood, and bamboo hybrid fillers Sunardi, Sunardi; Pratama, Thairq Al Aziz; Pinem, Mekro Permana; Yusuf, Yusvardi; Sudrajad, Agung; Kustiningsih, Indar
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8291

Abstract

The use of natural resources as particleboard materials has significantly increased due to growing environmental and sustainability concerns. This study aims to evaluate the physical and mechanical properties of particleboard made from three waste materials: eggshell particles, wood particles, and bamboo particles. The composite was formulated with the volume fractions of 10% epoxy resin, 25% Polyvinyl Acetate (PVAc) adhesive, 40% eggshell particles, and a 25% combined bamboo and wood particles. The bamboo-to-wood ratios investigated were 0:25 (B0W25), 12.5:12.5 (B12.5W12.5), and 25:0 (B25W0). Samples were prepared by cold compaction at 3 MPa for 2 hours, followed by curing at 100°C for 1 hour. The samples were evaluated for various physical properties, including density, water absorption, and thickness swelling, as well as mechanical properties such as hardness, flexural strength, flexural modulus, and flexural strain. Since multiple responses were obtained, the Data Envelopment Analysis-based Ranking (DEAR) method was used to assess composite performance. The study found that sample B25W0 exhibited the most optimal performance, with a density of 1.53 ± 0.01 g/cm³, water absorption of 8.47 ± 0.36%, thickness swelling of 6.05 ± 0.89%, hardness of 67.17 ± 0.94 Shore D, flexural strength of 12.90 ± 0.29 MPa, flexural modulus of 1.24 ± 0.03 GPa, and flexural strain of 2.23 ± 0.17%. The improvement is attributed to the alkali treatment of the bamboo particles. These results indicate that eggshell and bamboo hybrid fillers have strong potential as for structural particleboard.

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