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All Journal Jurnal Ekonomi Syariah Teori dan Terapan Riau Journal of Computer Science Script Journal: Journal of Linguistic and English Teaching MAJALAH ILMIAH GLOBE JITK (Jurnal Ilmu Pengetahuan dan Komputer) Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Inotera JURNAL TEKNOLOGI DAN OPEN SOURCE IJIES (International Journal of Innovation in Enterprise System) El-Barka: Journal of Islamic Economics and Business Jurnal Hutan Tropika Jurnal Teologi Praktika Journal of Computer and Information System (J-CIS) Balanca : Jurnal Ekonomi dan Bisnis Islam Journal of Law, Poliitic and Humanities Revenue : Jurnal Ekonomi Pembangunan dan Ekonomi Islam Seminar Nasional Insinyur Profesional (SNIP) SATIN - Sains dan Teknologi Informasi Applied Science and Technology Research Journal RJOCS (Riau Journal of Computer Science) LOGIC : Jurnal Ilmu Komputer dan Pendidikan Al-Faiza: Journal of Islamic Education Studies Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Pengabdian Masyarakat dan Riset Pendidikan Eduscape: Journal of Education Insight Jurnal Magister Ekonomi Syariah The Indonesian Journal of Computer Science Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic International Journal of Sustainable English Language, Education, and Science International Journal of Language, Education, and Literature (IJLEL) MADINA : Journal of Islamic Studies Vocational: Journal of Educational Technology Papsel Economic Journal
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Journal : Jurnal Inotera

Comparative Analysis of Soft Pneumatic Actuator Designs for Effective Human Finger Movement: A Study on Continuous and Non-Continuous Chamber Configurations Ritonga, Syahirul Alim; Herianto
Jurnal Inotera Vol. 8 No. 2 (2023): July - December 2023
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol8.Iss2.2023.ID243

Abstract

Soft actuators show immense potential in various fields, such as wearable medical devices and the rehabilitation of stroke patients. This study aims to design and fabricate a soft pneumatic actuator (SPA) that effectively mimics human finger movements, with specific focus on post-stroke rehabilitation. Two SPA designs, referred to as M1 and M2, were developed and compared. M1 featured segmented chambers to mimic finger joints, while M2 had continuous chambers. The performance of the SPAs was evaluated based on curvature, generated force, and similarity to natural finger movement. Results showed that M1 exhibited superior curvature and achieved greater bending angles compared to M2 at the same pressure levels. This makes M1 well-suited for applications requiring high bending angles such as gripping. Additionally, M2 demonstrated the ability to mimic specific angles associated with picking-like movements. The findings highlight the potential for further research to explore the customization of SPAs for specialized tasks by modifying the number of sections and chambers. In terms of force, M2 generated slightly higher forces than M1, although the difference was not statistically significant. Overall, it is expected that this research contributes to the development of soft actuators and wearable medical devices, particularly in the field of post-stroke rehabilitation.
Comparative Analysis of Custom-Designed Soft Pneumatic Actuators for Human Thumb Movement in Post-Stroke Rehabilitation Ritonga, Syahirul Alim; Herianto
Jurnal Inotera Vol. 8 No. 2 (2023): July - December 2023
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol8.Iss2.2023.ID246

Abstract

One of the most potential applications of soft actuator is as wearable medical devices for post-stroke rehabilitation as a field that requires high levels of safety and adaptability. Incorporating SPAs into such devices can provide a safer and more secure solution, ensuring controlled movements that do not pose a risk to patients. However, there is a research gap regarding the design considerations for soft actuators specifically targeting the human thumb, which exhibits distinct motion patterns compared to the other fingers. This paper addresses this gap by developing and evaluating custom-designed SPAs for the movement of the human thumb, with a focus on post-stroke rehabilitation. Three SPA models (M1, M2, and M3) were proposed, and their performance in replicating the twisting motion of the thumb was assessed. The SPAs were fabricated using 3D printing, and image processing software was utilized for measurement and analysis. The results showed that the M3 model, with two sections of chambers in different axes, exhibited the best performance in generating the desired twisting angle. Integration of the M3 model with four finger-shaped SPAs enabled successful grasping and picking-like movements. This research contributes to the advancement of soft actuators in wearable medical devices, particularly in post-stroke rehabilitation, and holds promise for enhancing patient recovery and quality of life.
A YOLO-Based Machine Learning Framework for Detection of Soft Pneumatic Actuator Bending Angles Syahirul Alim Ritonga; Raditya Fadhil Arva; Sarah Iftin Atsani; Mohammad Ardyansah; Herianto
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID448

Abstract

The bending angle of soft pneumatic actuator (SPA) is a critical parameter influencing their reliability and effectiveness across various applications. Conventional measurement methods are often labour-intensive and impractical for experiments requiring multiple trials, creating a need for efficient, non-invasive techniques. This study proposes a machine learning framework leveraging YOLO (You Only Look Once) models to detect SPA bending angles from image data, eliminating the need for additional hardware. A comprehensive dataset of SPAs under varying actuation pressures, with meticulously labelled bending angles, was curated to train a YOLO-based regression model. The results highlight the model's strong performance, achieving a recall of 99.1%, precision of 70%, and mean average precision (mAP) scores of 86.42% (IoU 0.5) and 84.35% (IoU 0.5–0.95). Low training and validation losses indicate high accuracy in bounding box predictions, object-background differentiation, and object classification. Optimized learning rates ensured efficient parameter updates, achieving convergence without overfitting. The proposed framework demonstrates a robust balance between accuracy, robustness, and efficiency, making it a practical solution for reliable SPA bending angle detection in real-world applications. This study underscores the potential of machine learning-driven techniques to streamline SPA characterization, offering a scalable and non-invasive alternative to traditional methods.
Design and Development of a Low-Cost Programmable Air Regulator for Soft Pneumatic Actuators Ritonga, Syahirul Alim; Sarah Iftin Atsani; Mohammad Ardyansah; Raditya Fadhil Arva; Herianto; Adrian Axel Yohannes
Jurnal Inotera Vol. 10 No. 1 (2025): January-June 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss1.2025.ID488

Abstract

Soft Pneumatic Actuators (SPAs) are widely utilized due to their affordability, simplicity, and ability to produce diverse movements such as bending and twisting by regulating air pressure. However, precise air pressure control remains a significant challenge in achieving desired actuator motions and maintaining performance consistency. While commercial programmable air regulators exist, their high cost often limits accessibility for budget-conscious research and educational institutions. This study addresses this challenge by designing and developing a low-cost programmable air regulator tailored for SPAs. Utilizing widely available and inexpensive components, the system aims to provide precise and reliable pressure control, democratizing SPA technology for researchers, small industries, and educational institutions. The regulator employs a stepper motor with a 1.8-degree step resolution and a 1:4 gear ratio, offering fine granularity in pressure adjustments. Carefully selected speed (1000 steps/s) and acceleration (500 steps/s) parameters ensure consistent operation under repetitive use. The program code of Arduino UNO microcontroller developed in this study can be readily adopted by researchers and practitioners. The regulator consistently achieves desired pressures through precise control of motor revolutions, proving to be a viable, cost-effective alternative to expensive commercial options.
Co-Authors Abdilah, Hayatining Suci Abdullah Adam Arif Budiman Aditia Gustiana Gunawan Adrian Axel Yohannes Afri Yudha Ahmad Makbul Ahmad Mujaffar Ahmad Syawaluddin Aji Setiawan Alva Edy Tontowi Alva Edy Tontowi Amar Ahmad Andi Ajeng Tenri Lala Andi Sudiarso Andi Susilo Angsoka Dwipayana Marthaliakirana Astuti, Eka Yuni Atik Kurnianto Ayatullah Baba Barus Bagus Tri Mahardika Banu Santoso Cholid Mawardi Denny Sukma Eka Atmaja Dhananjaya Yama Hudha Kumarajati Dikpride Despa Eka Supriatna Elysia, Shafa Endang Ayu Susilawati Fatas Wahyuning S, Musa Fonda, Hendry Geminastiti Sakkir Gusnawati, Rina Hasbi Haslindah Heliawaty Hamrul, Heliawaty Herianto Herianto Irnandas, Muh Jaman, Najma Jusmiana, Andi Kusmono M. Ali Latif Amri Mabanja, Ashiraf MARDIANA Mira Febriana Sesunan Mira Harimurti Mohammad Ardyansah Muhammad Kusumawan Herliansyah MUHAMMAD YUSUF Musyrifah Nababan, Mangatur Rudolf Nadia Shalehah Nasution, Saddam Husein Nasyiya Nirwan Nur Hasanah Nur Syamsiyah Nurhidaya Nurpasila Nuwa Pramesti, Gita Prasetyo, Arya Adhari Purnamasari, Dian Septi Raden Rosnawati Raditya Fadhil Arva Ratna Widyawati Refni Wahyuni Renhart Jemi Rian Ordila Ritonga, Syahirul Alim Riyadi Santosa Riyono, Dwi Romatua, Pittor Rustanto Sahmiar Pulungan Sarah Iftin Atsani Sari , Andira Sarlin Sirajun Nasihin, Sirajun Siti Aisyah Sugianto, Didik Susanto, Herry  Suzuki Syofian Syahirul Alim Ritonga Tenri Lala, Andi Ajeng Tenri Lala Timor Setiyaningsih Titin, Veronica Uray Gustian Veronica Vincentius P Siregar Wangi Pandan Sari Wardani, Tri Ulfa Yahya Yeremia, Yeremia Yuda Irawan YULISMAN