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Yusram, S.Pd., M.Pd
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journal.lamintang@gmail.com
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jetas.lamintang@gmail.com
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INDONESIA
Journal of Engineering, Technology, and Applied Science (JETAS)
ISSN : 27217949     EISSN : 27218090     DOI : https://doi.org/10.36079/lamintang.jetas
The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of Engineering, Technology and Applied Science. Subject areas cover, but not limited to Physics, Chemistry, Biology, Environmental Sciences, Geology, Engineering, Agriculture, Biotechnology, Nanotechnology, Mathematics and Statistics, Computer Science, Architecture, Industrial and all other science and engineering disciplines.
Articles 5 Documents
Search results for , issue "Vol 7 No 1: April 2025" : 5 Documents clear
Relationship Between Working Posture and Musculoskeletal Disorders Based on REBA and Nordic Body Map Analysis in Peanut Farmers Budiyanto, Tri; Sandra, Angga Maulana; Yusuf, M
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.786

Abstract

This research was conducted on peanut farmers in Manggung Hamlet, Tileng Village, Girisubo District, Gunungkidul Regency, Yogyakarta. Based on the results of observations, it can be seen that when harvesting peanuts, farmers were found in a bent and squatting position. In this position, farmers experience pain in the neck, back and knees when working. This study aims to determine the relationship between farmers' working posture and the level of Musculoskeletal Disorders (MSDs) complaints. The risk level of working postures is assessed using the Rapid Entire Body Assessment REBA method. The number of respondents in this study was 50 peanut farmers. The research results showed that assessment of working posture of peanut farmers using the REBA method, which obtained a score of 13, can be concluded from the total score in the high risk category where immediate action is needed to improve work posture. The frequency based on working posture shows that farmers who have a high-risk working posture are 21 respondents with a percentage (42%), and farmers who have a very high-risk working posture are 29 respondents with a percentage (58%). There is a relationship between the working posture of peanut farmers and the musculoskeletal disorders when they are working with a p-value of 0.034 (significant relationship).
Leveraging Scaled Agile Framework to Develop Information Systems in Finance Field Alotaibi, Dinah Dhaif Allah; Alrwais, Omer
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.791

Abstract

This research investigates the application of the Scaled Agile Framework (SAFe) in Saudi financial institutions, focusing on its impact on scalability, regulatory compliance, security, and speed in system development. The study aims to explore the benefits and challenges of SAFe adoption in a highly regulated and hierarchical industry. Data was collected from six articles, employing a qualitative analysis to examine how SAFe addresses the critical needs of financial organizations in adapting to dynamic market conditions while ensuring compliance with strict regulations. The findings reveal that SAFe enhances scalability by improving team collaboration and governance processes, which is crucial for large financial institutions. Additionally, its iterative approach facilitates ongoing regulatory compliance and allows rapid adaptation to regulatory changes. The integration of security protocols into the continuous development process helps reduce vulnerabilities, while the structured nature of SAFe accelerates product delivery, improving responsiveness to market demands. Despite these advantages, challenges include limited experience with large-scale Agile frameworks, balancing compliance with agility, and resistance to organizational change. The study highlights the need for further research, particularly primary data collection from Saudi financial institutions, to better understand the local challenges and opportunities for SAFe adoption in this rapidly evolving industry.
Optimizing Injury Detection with Autoencoder-Based Classifiers and Feature Selection Chebbi, Imen; Abidi, Sarra; Ayed, Leila Ben
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.810

Abstract

Many machine learning applications, such as injury detection systems, have made extensive use of autoencoders. For instance, it was suggested to use improved representative features in a deep autoencoder-based injury detection system to increase detection accuracy. Similarly, a feature selection based on the agricultural fertility algorithm was used to enhance injury detection systems, demonstrating the potential of feature selection techniques in improving detection performance. This study investigates the combination of autoencoder-based classifiers for injury classification and training. This method is used on the most significant feature chosen using the chi-square test (for binary values) and Pearson correlation (for continuous values). For the experiment, we have used the dataset. The study included 250 athletes, 150 of whom were women and 100 of whom were men. The average age of the study participants ranged from 18 to 22 years old. The quiz's response rate is 90.30%. The results of the trial show that the Injury Detection System outperforms previous studies and other classifier techniques, achieving a high classification accuracy of 92.27%.
The Impact of Ultraviolet Radiation on the Mechanical and Physical Properties of Wood Plastic Composite Using Waste Polypropylene Matrix Budiyantoro, Cahyo; Fawwas Ghazy, Muhammad Ikbar; Bilyferdin, Bastian
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.827

Abstract

Indonesia has an abundance of wood sawdust waste and polypropylene (PP) plastic waste, which remain underutilized. This study aims to investigate the effects of ultraviolet (UV) radiation on the mechanical and physical properties of wood plastic composite (WPC) made from recycled polypropylene. WPC specimens were fabricated using injection molding with 40-mesh pine and teak wood particles at 10% weight fraction. The samples were exposed to UV radiation for 0, 240, and 750 hours, respectively. Mechanical properties were assessed through impact toughness using the Izod test, while physical properties were evaluated based on density and thickness swelling. The results indicated that prolonged UV exposure significantly reduced the impact strength and density of WPC while increasing its thickness swelling. Notably, teak-based WPC exhibited greater resistance to UV degradation compared to pine-based WPC. These findings highlight the importance of UV stability in WPC applications for outdoor environments and suggest potential improvements through material modifications or protective coatings.
PLC Based Speed Control in a Color Sorting System: A Design and Simulation Perspective Umaru, Kalyankolo; Marlon, Munguleni; Nansukusa, Yudaya; Asikuru, Salaama; Ritah, Nafuna; Zaina, Kalyankolo
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.828

Abstract

For simulation purposes in Factory IO and TIA Portal, the research is tailored to emulate industrial sorting operations. In numerous industrial scenarios, sorting operations play a crucial role, with objects segregated based on various criteria such as dimensions, colors, weight, and material composition. For instance, within Thermal Power Stations, electromagnetic sorting techniques are employed to separate ferromagnetic materials from coal. This research specifically focuses on sorting goods based on color, with adjustable speed parameters to match production rates. The system is equipped with a digital display screen, providing real-time feedback on the count of sorted objects, and receives an analog speed signal from the PLC for precise control. This research is divided into two primary components, i.e. Software and Simulation in Factory IO. The software aspect involves the implementation of ladder logic programming in TIA Portal, enabling systematic control of the entire research process based on the input data sequence, while the simulation in Factory IO is encompasses the virtual representation of conveyors for object transportation and RGB color vision sensors for color detection. The entry conveyor features two branches to load objects onto the respective conveyors, directed by the sorting logic implemented in TIA Portal.

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