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Timotius Anggit Kristiawan
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Journal of Mechanical Engineering and Applied Technology
Published by Politeknik Negeri Semarang
ISSN : -     EISSN : 30252725     DOI : http://dx.doi.org/10.32497/jmeat.v2i1
Core Subject : Engineering,
Automotive Engineering Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Journal of Mechanical Engineering and Applied Technology (JMEAT) provides online media to publish scientific articles from research and development in the field of Mechanical Engineering and Applied Technology. The scope of Journal of Mechanical Engineering and Applied Technology (JMEAT) is as follows: Manufacture Maintenance Automotive Renewable Energy Agriculture Health Mechatronics
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 66 Documents
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Front Matter Journal of Mechanical Engineering and Applied Technology, 3 (2) July 2025 Kristiawan, Timotius Anggit
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6560

Abstract

Back Matter Journal of Mechanical Engineering and Applied Technology, 3 (2) July 2025 Kristiawan, Timotius Anggit
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6561

Abstract

STRUCTURAL INTEGRITY ASSESSMENT OF LPG-FIRED CABINET DRYER USING FINITE ELEMENT ANALYSIS (FEA) Nafisah Amalia; Yusi Amalia Renaningtyas; Apriandi MS, Nanang; Yusuf Dewantoro Herlambang; Avicenna An-Nizhami; Padang Yanuar; Aris Fiatno
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6635

Abstract

Cabinet-type dryers powered by Liquefied Petroleum Gas (LPG) are widely recognized as an efficient drying solution, particularly for small and medium-sized industries. However, the structural strength and durability aspects of these dryers often receive insufficient attention, although they operate under a combination of static and thermal loads that may potentially trigger structural failure. This study aims to evaluate the structural strength of a cabinet-type LPG dryer using the Finite Element Analysis (FEA) method by considering variations in operating temperature and constant mechanical loading. Simulations were conducted within an operating temperature range of 48.049°C to 75.767°C under a constant load of 40 kg. The key parameters analyzed include total deformation, stress distribution, and structural safety factor. The results revealed a maximum deformation of 1.094 mm and a peak stress of 1030.7 MPa concentrated in the plenum chamber area, identified as a critical zone due to the combined effects of thermal and mechanical loading. The maximum safety factor reached 15, while the minimum value of 0.24255 indicates the need for localized design improvements in certain regions. These findings demonstrate the effectiveness of FEA in predicting the structural response of drying equipment and provide a scientific foundation for enhancing structural safety and reliability. Further studies are recommended to integrate coupled thermal-structural analysis and experimental validation to improve the accuracy of the results. Keywords: cabinet dryer; finite element analysis (FEA); safety factor; structural analysis; temperature distribution
ANALISIS DAMPAK IMPLEMENTASI MESIN FIRMWARE UPLOADING DENGAN KAPASITAS 60 INTEGRATED CIRCUIT PERMENIT PADA PERUSAHAAN IC CARD Rachman, Fathur; Kristiawan, Timotius Anggit; Putri, Farika Tono
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6637

Abstract

The IC Card (IC Card) manufacturing industry still widely relies on manual methods for firmware uploading into integrated circuits, a process that involves contract labor and basic tools. This method poses several limitations including low throughput, high labor dependency, and a significant risk of human error. These issues affect overall efficiency, product quality, and operational cost. The gap identified lies in the lack of automation in the firmware uploading process, especially within local industries. To address this, the present study aims to evaluate the impact of implementing an automated Firmware Uploading Machine with a capacity of 60 integrated circuits per minute. The research methodology includes a combination of engineering design and field performance testing. The proposed system employs servo motor technology, fiber optic sensors, and PLC-based control to replace manual handling. Experimental results indicate a six-fold increase in production capacity, substantial reductions in labor requirements, and improved operational efficiency. Furthermore, a Break-even point (BEP) analysis confirms that the return on investment can be achieved in a relatively short time. In conclusion, the automated firmware uploading system offers a practical solution for improving productivity, lowering operational costs, and enabling the industrial transition towards high-efficiency and smart manufacturing environments. Keywords: Automation; BEP; efficiency; firmware uploading; integrated circuit
ANALISA KEBOCORAN FUEL SUPPLY PUMP PADA UNIT EXCAVATOR PC 135F-10M0 DI PT XYZ Marali, Aryati Muhaymin; Muhaimin, Muhamad; Arwin, Arwin; Dwimas, Herdia; Yusrina, Yasmin Zulfati; Ulum, Muhammad Showi Nailul
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6662

Abstract

The fuel system utilized in a unit is a crucial system, serving as the fuel supplier to the unit to start the engine. If the engine fails to start, one possible cause is a malfunctioning or damaged component of the fuel system, resulting in the high-pressure fuel not reaching the common rail. Consequently, the fuel is not supplied to the high-pressure common rail, leaving the engine without the required fuel supply. The outcome of this research is to identify and analyze the cause of the fuel supply pump component leakage in the excavator PC 135F-10M0 unit, with symptoms of the return hose to the tank being trapped by a clamp. Careless operation led to a wooden rod protruding into the bottom cover of the unit, puncturing and affecting the clamp on the fuel return hose to the tank.
ERGONOMIC POSTURE CLASSIFICATION OF BENCH WORK UTILIZING MUSCLE DATA: A CASE STUDY IN EDUCATIONAL WORKSHOP Putri, Farika Tono; Purwati, Wiwik; Margana; Supriyo; Prawibowo, Hartanto; Pasmanasari, Elta Diah; Ismail, Rifky; Kadavi, Fadhil Muhammad; Muryanto
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6674

Abstract

Occupational musculoskeletal disorders (MSDs) often result from prolonged non-ergonomic postures, especially in educational and industrial bench work activities. This study presents an approach to classify ergonomic and non-ergonomic working postures using surface electromyography (sEMG) signals and machine learning. sEMG data were recorded from four upper limb muscles during simulated bench work conditions. Time-domain and frequency-domain features were extracted from segmented EMG signals using sliding windows. Dimensionality reduction was performed using Principal Component Analysis (PCA), and classification was carried out using logistic regression. The proposed system achieved an overall classification accuracy of 75% in distinguishing ergonomic and non-ergonomic postures. Visualization using PCA and Linear Discriminant Analysis (LDA) showed clear class separation, validating the discriminatory power of the extracted features. While the small sample size and class imbalance were identified as limitations, the study demonstrates that a simple and interpretable model like Logistic Regression, when combined with proper feature engineering, can yield promising results.This work contributes to the development of low-cost, efficient, and interpretable ergonomic assessment tools. It is particularly relevant for vocational and educational environments where real-time posture monitoring and early prevention of MSDs are essential. Future research should focus on expanding the dataset, exploring deep learning methods, and implementing real-time wearable systems.
ANALISIS TEGANGAN DAN DISTRIBUSI BEBAN INTERFERANCE SCREW (IFS) DENGAN MATERIAL TITANIUM ALLOY Subagyo, Yusuf; Baharudin Priwintoko; Ibnu Rosyid Al Hassany; Arif Syamsudin
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6718

Abstract

Cidera ligamen anterior cruciatum (ACL) merupakan salah satu cidera yang umum terjadi pada atlet dan sering kali memerlukan tindakan rekonstruksi dengan bantuan interference screw (IFS). Material yang digunakan dalam pembuatan IFS memiliki peranan penting dalam menentukan keberhasilan fiksasi. Penelitian ini bertujuan untuk menganalisis tegangan dan distribusi beban pada IFS berbahan titanium alloy menggunakan pendekatan Finite Element Analysis (FEA) dengan perangkat lunak Ansys. Desain IFS direkayasa ulang berdasarkan produk Smith & Nephew dengan dimensi panjang 25 mm dan diameter 9 mm. Simulasi dilakukan pada dua skenario pembebanan, yaitu torsi sebesar 2000 N.mm dan gaya tarik (pullout) sebesar 200 N. Hasil simulasi menunjukkan bahwa tegangan maksimum pada pengujian torsi adalah sebesar 41,021 MPa dengan deformasi 0,108 mm, sedangkan pada pengujian pullout sebesar 42,628 MPa dengan deformasi 0,095 mm. Nilai tegangan yang dihasilkan masih jauh di bawah batas yield strength material titanium alloy (930 MPa), yang menunjukkan bahwa desain dan material IFS mampu menahan beban kerja yang disimulasikan. Dengan demikian, penggunaan titanium alloy sebagai material IFS dinilai layak dan efektif secara mekanis berdasarkan hasil simulasi ini.
OPTIMASI DIAMETER LAS TITIK MENGGUNAKAN METODE TAGUCHI PADA PROSES RESISTANCE SPOT WELDING ROBOTIK DI MESIN OTC DAIHEN Roni, Komar; Imaduddien Ariefa; Rieky Handoko; Anton Harseno; Muhammad Nanang Adi Saputra; Sahal Ahmad Albab
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6735

Abstract

Robotic welding technology has become a key component in modern manufacturing, particularly in automotive industries, due to its ability to deliver consistent weld quality and improve efficiency. However, weld quality remains highly dependent on process parameters such as current (Ampere), voltage, electrode movement speed, and heat input. In the context of resistance spot welding (RSW), optimizing these parameters is essential to achieve ideal weld diameters and ensure joint integrity. Previous research has primarily focused on tensile strength, overlooking diameter as a crucial quality metric in precision manufacturing. This study addresses that gap by investigating the influence of four welding parameters—current, voltage, speed, and heat input—on weld diameter using the Taguchi method. An experimental design with L8 orthogonal array was implemented to reduce the number of trials while maintaining robust analysis. The quality characteristic "Smaller is Better" was used to align with industrial diameter standards of 15–16 mm. Signal-to-noise (SN) ratios and ANOVA were applied to identify the most influential factors. The optimal parameter combination was found to be current at 180 A, voltage at 18 V, speed at 80 cm/min, and heat input at 0.2 KJ/mm. Confirmation experiments yielded an average weld diameter of 15.8125 mm, validating the Taguchi prediction and demonstrating the method’s effectiveness in minimizing diameter variation. These findings confirm that all four parameters significantly affect weld diameter and that Taguchi-based optimization can effectively enhance weld quality and manufacturing efficiency
ANALISIS KINERJA MESIN LASER CUTTING TRULASER 1030 PADA PRODUKSI KENDARAAN KHUSUS MENGGUNAKAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE) Fariz Wisda Nugraha; Sendie Yuliarto Margen; Rifky Ismail; Muhammad Farel; Yusuf Subagyo; Hartanto Prawibowo; Rizal Mustofa
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2 YEAR 2025 (JULY 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i2.6761

Abstract

The manufacturing industry is continuously challenged to improve production efficiency and quality. Production machinery plays a crucial role in supporting smooth manufacturing processes, especially in the fabrication of special vehicle components. One such machine is the TruLaser 1030, a 2D laser cutting machine manufactured by TRUMPF, which is used for processing body and accessory parts in special vehicles. This study aims to evaluate the performance of the TruLaser 1030 machine using the Overall Equipment Effectiveness (OEE) method, as well as to identify damaged machine components and maintenance requirements. The Total Productive Maintenance (TPM) approach is applied to enhance equipment effectiveness, prevent breakdowns, and ensure product quality and workplace safety. The OEE methodology involves three main parameters: Availability, Performance Rate, and Quality Rate. The results show the machine’s availability at 94%, performance rate at %, and quality rate at 97.1%. These findings suggest that the TruLaser 1030 machine operates at a relatively optimal level; however, regular evaluations of work systems and maintenance programs are necessary to maintain stable performance and continuously improve productivity.
MODIFIKASI SISTEM OTOMASI PADA SLIDING HOOD GUNA MENINGKATKAN EFISIENSI KERJA DAN MEMPERBAIKI NILAI ERGONOMI BAGI OPERATOR CNC CUTTING DI PT XYZ Kristiawan, Timotius Anggit; Sugiono, Friska Ayu Fitrianti; Amin, Faiz Sholihul; Bistolen, Boy
Journal of Mechanical Engineering and Applied Technology Vol. 3 No. 3 (2025): VOLUME 3 ISSUE 3 YEAR 2025 (NOVEMBER 2025)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v3i3.7067

Abstract

The CNC cutting process at PT XYZ produces emissions and heat controlled by a sliding hood. However, its manual operation—requiring operators to push a 69.65 kg device up to 30 times daily—creates fatigue, discomfort, and low tool utilization. This highlights a gap where automation is often applied for efficiency but rarely combined with ergonomic improvements. This study aims to develop and test an automated sliding hood to increase efficiency and reduce ergonomic risks. The Shigley-Mitchell design methodology was applied, supported by observation, interviews, and performance testing before and after modification. Key indicators measured were cycle time, tool effectiveness, and ergonomic risk using the RULA method. Results showed a decrease in cycle time from 57.28 to 46.65 seconds (18.6% efficiency gain). Tool effectiveness rose from 27 to 44 successful operations out of 45, while RULA scores improved from 7 (high risk) to 3 (low risk), indicating a 58% ergonomic improvement. In conclusion, automating the sliding hood enhanced work efficiency, optimized equipment use, and improved ergonomic conditions. This demonstrates the value of integrating automation with ergonomic design to achieve productivity and health benefits in manufacturing.

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