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This Author published in this journals
All Journal Journal of Mechanical Engineering and Applied Technology Jurnal Polimesin Multidisciplinary Innovations and Research in Applied Engineering
Hartanto Prawibowo
Politeknik Negeri Semarang
Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Design, Construction, and Testing of an Electric Wheelchair Operated by Arduino Uno R3 Microcontroller Yusuf Subagyo; Sendie Yuliarto Margen; Baharudin Priwintoko; Fariz Wisda Nugraha; Hartanto Prawibowo
Multidisciplinary Innovations and Research in Applied Engineering Vol. 2 No. 1 (2025)
Publisher : Akademi Inovasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70935/ha1z3r27

Abstract

The research aims to design and develop an electric wheelchair based on the Arduino Uno microcontroller as a mobility solution for individuals with disabilities. A conventional wheelchair was modified by integrating an electric drive system controlled by an analog joystick, which is connected to the Arduino Uno and DC motors via a BTS 760 motor driver. The wheelchair design complies with ISO 7176-5 standards and is adapted to the anthropometric dimensions of Indonesian users. Test results indicate that the control system functions effectively, allowing responsive control of wheelchair movements forward, backward, left, and right according to joystick operation. However, several challenges were encountered during the chain adjustment and gear welding processes, requiring further development to achieve optimal performance. This study demonstrates that utilizing the Arduino Uno as the central control unit enables the production of an electric wheelchair at a more affordable cost.
Optimization of cutting current in CNC plasma cutting for improved bracket fabrication quality Ali Sai'in; Venditias Yudha; Luqman Al Huda; Zaenal Abidin; Hartanto Prawibowo
Jurnal Polimesin Vol 24, No 2 (2026): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i2.8618

Abstract

CNC plasma cutting is widely used in metal fabrication due to its efficiency and versatility; however, parameter optimization is essential to ensure high-quality results. This study investigates the influence of CNC plasma cutting parameters affect the fabrication quality of Revo motorcycle brackets, which are essential for electric motor vehicle conversion. We conducted experiments on 6 mm thick low-carbon steel plates using a JIAXIN JX-1530 machine. The electric current was varied at 50, 52, 54, and 56 A. For each current level, four specimens were prepared and tested while keeping other parameters constant: a cutting speed of 600 mm/min, a gas pressure of 6 bar, and a torch distance of 1–2 mm. We assessed cut quality based on surface roughness (Ra) at two measurement points, dimensional accuracy relative to CAD design, and hardness variations in the Heat-Affected Zone (HAZ) and base material. The results showed that the best conditions were achieved at 50 A, 6 bar gas pressure, and a torch distance of 2 mm, resulting in an average Ra of 5.39 µm and a dimensional deviation of ±0.3 mm. Although increasing the current above 50 A improved HAZ hardness, it negatively impacted surface roughness and increased the risk of thermal defects. These findings indicate that the identified optimal parameters support the production of high-precision, cost-effective brackets.
Markerless Computer-Vision Joint-Angle Analysis for Ergonomic Risk Assessment of Engineering Students During Bench-Work Practicum Rafael Girvan; Hasna Muthia Maghfira; Ferry Anugerah; Muhammad Rizal Cahyo Prayogo; Hartanto Prawibowo; Elta Diah Pasmanasari; Farika Tono Putri; Novie Susanto; Wiwik Purwati; Supriyo; Amrisal Kamal Fajri; Rifky Ismail
Journal of Mechanical Engineering and Applied Technology Vol. 4 No. 2 (2026): VOLUME 4 ISSUE 2 YEAR 2026 (JULY 2026)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jmeat.v4i2.7821

Abstract

Bench work (kerja bangku) is a foundational manual-skills practicum in mechanical and manufacturing engineering education. It requires sustained non-neutral postures—forward trunk flexion, downward neck flexion toward the vice, and repetitive upper-limb exertion—that expose students to work-related musculoskeletal disorder (WMSD) risk early in their careers. Conventional ergonomic evaluation relies on manual observation, which is subjective, labour-intensive, and difficult to scale across large student cohorts. This study presents a markerless computer-vision pipeline that estimates body joint angles from ordinary RGB video and automatically derives Rapid Upper Limb Assessment (RULA) scores for students performing bench-work tasks. Two-dimensional pose estimation localized anatomical landmarks; sagittal joint angles for the neck, trunk, upper arm, lower arm, and wrist were computed from landmark coordinates and mapped to RULA segment scores. Thirty engineering students were recorded performing five representative tasks (filing, hacksawing, marking/scribing, chiselling, and hand-tapping). The mean RULA grand score across tasks was 6.0, with 92% of observations falling in action levels 3–4 (“investigate and change”). Vision-derived joint angles agreed with manual goniometry to within a mean absolute error of 4.8°, and RULA grand scores matched an expert assessor within ±1 point in 96.7% of cases (weighted Cohen’s κ = 0.82). The results show that markerless computer vision offers a low-cost, objective, and scalable instrument for ergonomics education, posture feedback, and bench-station redesign.
Co-Authors Ali Sai’in Amrisal Kamal Fajri Baharudin Priwintoko Elta Diah Pasmanasari Farika Tono Putri Fariz Wisda Nugraha Ferry Anugerah Hasna Muthia Maghfira Luqman Al Huda Muhammad Rizal Cahyo Prayogo Novie Susanto Rafael Girvan Rifky Ismail Sendie Yuliarto Margen Supriyo Venditias Yudha Wiwik Purwati Yusuf Subagyo Zaenal Abidin