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Journal : Journal of Mechanical Engineering and Applied Technology

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 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.
Co-Authors . Jamari . Jamari . Jamari . Sugiyanto Abd. Rasyid Syamsuri Abdul Syakur Abid Muflih Ernandara Abram Ali Sasono Achmaditiya, Galuh Agung Warsito Agustinus Purna Irawan Ahmad, Zakki Kurniawan Akhlis Rahman Nurhidayat Akmal Putra Fardinansyah Alfiana Fitri Istiqomah Amin Husni Amrih Prayogo Ananto, Gilar P. Andrew Johan Andromeda, Trias Arifin, Zainal Ariyanto, Mochammad Arvy Yudha Sadewa Atanasius Priharyoto Bayuseno Athanasius Priharyoto Bayuseno Athanasius Priharyoto Bayuseno Aulia Salwa Alfaina Bagastomo, Riondityo Soni Bagiyo Condro Purnomo Bakhtiar, Yuriz Bayuseno Bayuseno Budi Setiyana Budi Setiyana Budi Setiyana Budi Waluyo Budiman, Rifky Ardiansyah Budy Wiryawan Candratama, Aditya Cionita, Tezara D.J. Schipper Deni Mulyana Deni Mulyana Devit Ardiyansyah Dinulloh, Muhammad Rafli Wiratama Dosma Ruben R Nababan Dwi Pudjonarko Dwi Setyawan Egastya Fazal Santoso Eko Saputra Eko Saputra Eko Wahyu Saputro Elga P. Yuandi Eva Hertnacahyani Herraprastansi Fachri Adam Fardinansyah, Akmal Putra Fariz Wisda Nugraha Ferdian Gamalea Delasta Fiki Firdaus Fiki Firdaus Fitriyana, Deni Fajar Friady Gumilar Fungky Dyan Pertiwi Gilar P. Ananto Gunawan Dwi Haryadi Gusti Andika Ramadanu Hadi, Jason Reynald Haira, Mahmuda Hanif Nur Kholid Hari Peni Julianti Hartanto Prawibowo Hasnil, Nabiilah Helmy Purwanto Hidayati, Uslah Ilham Fajar Bagaskara Ilham Habibi, Ilham Imam Syafaat Irfan, Afi Muhammad Ismail, Nur Hidayah Ismoyo Haryanto Istiqomah, Alfiana Fitri Iwan Budiwan Anwar J. Jamari Jamari Jamari Januar Parlaungan Siregar Januar Parlaungan Siregar Joga D. Setiawan Joga Dharma Setiawan Joga Dharma Setiawan Joshua W. Syafei Joyanto Sitohang Kadavi, Fadhil Muhammad Kharisma A. Pambudi Kistriyani, Lilis Kolakoti, Aditya Kristianto, Henry Luky Hidayat M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Machrizal Noor Mahendra, Arya Makhfudz Ali Margana Margana Michael Ambarita Mochammad Ariyanto Mochammad Ariyanto Mochammad Ariyanto Moh Fawaid Moh. Erlangga Aditya Rifandi Mohammad Tauviqirrahman Muchammad Muchammad Muhammad Dzaky Arizsa Athallah Muhammad Dzulfikar Muhammad Fahrizal Almeir Muhammad Farel Muhammad Hafizh Mubarak Muhammad Ihya Mahendra Adi Muhammad Ikhsan Muhammad Khafidh Muhammad Rezha Assalam Muhammad Ritzky Novhar Muhammad Ulfan Arif Muji Setiyo Munadi Munadi Murti Ayu Nur Safitri Muryanto Mustofa, Rizal Nizar Rahman Aprilitama, Nizar Rahman Norman Iskandar Novianto, Arief Novriansyah, Robin Nursafitri, Murti Ayu Nurudin, Tri P., Alhakim B. P., Biyan B. Pambudi, Kharisma A. Pangesti, Adelia Pangestu, Wahyu Adi Pasmanasari, Elta Diah Poedji Haryanto Prasetyo, Adzan Jati Pratama, Wahyudi Prawibowo, Hartanto Priwintoko, Baharudin Purwati, Wiwik Putera, Finny Pratama Putra, Mileno Marandria Putri, Farika Tono Rahmawati, Maria Belladonna Rahmi Isma Asmara Putri Rama Sinatria Wisesa Reswara, Ghani Widyatna Ricky Prawira Rilo Berdin Taqriban Riski Maulana Rizal Mustofa Rizal Mustofa Rochman, Muhamad Latifur Rohmatullah, Muhammad Rusdjijati, Retno Samsul Alamsyah Perwiranegara Saputra, Bagus Ari Sendie Yuliarto Margen Siregar, Januar Parlaungan Sitanggang, Frandy A Siti Aminah Sri Nugroho Sugiyanto - Sugiyanto Sugiyanto Sugiyanto Suhartini Suhartini Ismail Suhartini Ismail, Suhartini Sukarno Sukarno Sulardjaka Sulardjaka Sulistyo Sulistyo Sulistyo Sulistyo Supriyo Suryawan, Donny Susilo Adi Widyanto Syafa’at, Imam Syafei, Joshua W. Tavan Faiz Dhiahaqi Tezara Cionita Thesar Aditya Nurcholis Toni Prahasto Trianggoro Budisulistyo Turasno, Buang Wahid, Muhammad Abdul Wahyu Hidayat Wijayanto, Juli Eri Yasya Khalif Perdana Saleh Yogi Reza Ramadan, Yogi Reza Yopi Harwinanda A Yosafat Keljeski Sinaga Yosua Wijaya Yotenka, Rahmadi Yuris Setyoadi Yusuf Subagyo Zainal Arifin