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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Rekayasa Mesin Jurnal Rekayasa Mesin JOIV : International Journal on Informatics Visualization JURNAL CRANKSHAFT Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Abdi Masyarakat Indonesia Eksergi: Jurnal Teknik Energi Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Journal of Mechanical Engineering and Applied Technology Jurnal Polimesin Widya Teknik
Putri, Farika Tono
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Journal : Journal of Mechanical Engineering and Applied Technology

 1 
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
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.
Co-Authors A Fauzi, Abdul Syukur Agus Slamet Ahmad Jalaludin, Ahmad Alfauzi, Abdul Syukur Amarta, Rona Zaqqi Andreyanto W, Mirda Anggit, Timotius Anis Roihatin Atmojo, Slamet Priyo Ayu S, Friska Balqis Balqis Bayu Setyo Nugroho, Bayu Setyo Bono Bono Budhi Prasetyo Carli Carli DWI RAHMAWATI Eko Saputra Eko Saputra Fathoni, Achmad Luthfian Firmansyah, Erik Fuad Hilmy Gutomo, Gutomo Huda, Evan Hardi Nurul Huda, Mohammad Ragil Nur Ikhsan, Ivan Hardi Nurul Indra, Ragil Tri Indrawati, Ragil Tri Ismail, Rima Ruktiari Isti Nugroho, Wahyu Kabir, Noer Ni'mat Syamsu Kadavi, Fadhil Kadavi, Fadhil Muhammad Khoryanton, Ampala La Ode Ichlas Syahrullah Yunus Luthfiansyah, Galih Mara, Muhlasah Novitasari Margana Margana Mochammad Ariyanto Muryanto Nailul Ulum, Muhammad Showi Nashrullah, Miftah Nugroho , Bayu Setyo Nugroho, Agung Nugroho, Irvandianto Padang Yanuar Pasmanasari, Elta Diah Prabowo, Muhamad Cahyo Ardi Prasetyo, Sandif Pratama, Fandy Indra Pratama, Galang Dimas Prawibowo, Hartanto Purnomo, Adhy Purwati, Wiwik R., Rizkha Ajeng Rachman, Fathur Rafsanjanu, Swastika Pascal Rifky Ismail Rochmatika, Rizkha Ajeng Rohmatika, Rizka Ajeng Safirana, Eni Safriana, Eni Sahid Sahid Sai'in, Ali Satito, Aryo Setiyawan, Trio Sidiq Syamsul Hidayat, Sidiq Syamsul Sitepu, Rasional Slamet Priyoatmojo, Slamet Solly Aryza Sri Hastuti Sri Wahyuni Sriharmanto, Sriharmanto Supandi Supriyo Supriyo Supriyo Timotius Anggit Kristiawan Tristidjanto, Hery Wahyu Isti Nugroho Xander Salahudin Yusuf Dewantoro Herlambang Zaenal Abidin