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International Journal of Recent Technology and Applied Science (IJORTAS)
Published by Lamintang Education & Training Centre
ISSN : 27212017     EISSN : 27217280     DOI : https://doi.org/10.36079/lamintang.ijortas
Core Subject : Science, Engineering,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of Technology and Applied Science.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 7 No 1: March 2025" : 5 Documents clear
Automatic Task Provisioning and Routing Framework for Carrier Robots in Smart Factory with Edge Computing Daely, Philip Tobianto; Permata, Oktavia Ayu; Aji, Bernadus Anggo Seno
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 7 No 1: March 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.ijortas-0701.739

Abstract

This paper proposed a pickup and delivery (P&D) task provisioning and vehicle routing framework for carrier robots in a factory with edge servers assisting as the intermediary between robots and working stations, where the task requests come. The carrier robots must pick up and deliver each assigned load from and to designated locations with minimal traveled distance and without violating designated constraints. Edge servers are utilized to facilitate communication between the main server and delivery robots and assist the main server in deciding the best robot for each incoming task request and the updated route to facilitate execution of tasks by each carrier robot. The problem of pickup and delivery for each robot is modeled based on Dial-a-Ride Problem, and a discrete bio-inspired algorithm is proposed to solve this problem. The tasks are distributed to edge servers and carrier robots by taking their service loads into account. The simulation results show that the proposed framework can provide an effective solution towards optimizing the pickup and delivery process in a smart factory.
Development and Implementation of Dimensional Weight Algorithms for Improved Efficiency in Warehouse Management Systems Jararweh, Ayman; Yatim, Ahmad Rouzaimi; Al-Bataineh, Hesham; Al-Younes, Momani
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 7 No 1: March 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.ijortas-0701.751

Abstract

Refining dimensional weight assessment is vital for improving warehouse management effectiveness, especially in the logistics and e-commerce sectors. Conventional approaches to calculating dimensional weight frequently cause either overestimation or underestimation, leading to higher shipping expenses and ineffective storage efficiency. This research seeks to create and apply a dimensional weight optimization algorithm that combines rule-based modeling with machine learning to enhance accuracy and storage efficiency, and lower operational costs. This study uses an experimental method, carried out in January 2025 in Malaysia, to evaluate the efficacy of the proposed algorithm in a Warehouse Management System (WMS). The algorithm is evaluated with live warehouse data, utilizing IoT and cloud computing technologies for smooth integration. Important assessment metrics consist of accuracy in dimensional weight assessment, effectiveness of warehouse storage, and decrease in logistics costs. The results indicate that the suggested algorithm reaches an accuracy of 97.2%, greatly exceeding the conventional method's 89.5%, while lowering the mean absolute error from 2.3 kg to 0.8 kg. Warehouse space usage rises from 75.4% to 89.6%, and processing efficiency grows by 37.5%, boosting total warehouse output. Moreover, operational expenses diminish because of enhanced weight evaluation and better space distribution. Future studies should emphasize the integration of deep learning models for enhanced optimization, experimentation with various product categories, and the inclusion of robotic automation to improve warehouse operations. This research highlights the significance of smart dimensional weight assessment in contemporary warehouse management systems.
Design and Performance Testing of Seawater Batteries as Renewable Energy for Marine Boat Lights Anwar, Dedtri; Papia, Jedithjah Naapia Tamedi; Purnomo, Hendra; Darmawan, Putu Deny
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 7 No 1: March 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.ijortas-0701.773

Abstract

Indonesian seas offer abundant renewable energy potential. Seawater batteries have attractive advantages as a source of electrical energy. The purpose of this study was to design and manufacture a seawater battery and test its performance for ship lighting. The methodology used includes designing and manufacturing a seawater battery storage container based on electrode dimensions, assembling electrodes and insulators, and testing battery performance using LED lights. The results showed that the design produced an 8-cell seawater battery with a height of 24 cm and a diameter of 17.78 cm (7 inches). Performance testing with a 7 W LED lamp for 60 minutes showed that higher salt content caused an increase in the average light intensity produced. In 8 W and 10 W LED lamps, it is known that an increase in the average light intensity produced only occurs at an increase in salt content of 3 to 4%, while an increase in the average light intensity at a salt content of 5% does not occur, iii) average salt content -an average of 4% on a seawater battery with a 60 minute test for a 7W LED lamp produces an average light intensity of 227.33 lumens, for an 8W LED lamp an average of 325 lumens, and for a 10W LED lamp an average of 604, 67 lumens. The greater the power of the LED lamp used, the greater the light intensity produced.
Effect of Defect Geometry and Strain Rate on Mechanoelectrochemical Behavior of X100 Steel Pipelines Syah, Muhammad Zacky; Andoko, Andoko; Prasetya, Riduwan
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 7 No 1: March 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.ijortas-0701.787

Abstract

Corrosion and mechanical issues in high-strength X100 steel pipelines present major difficulties for the safety and dependability of energy transport systems. This research investigates the joint impacts of defect shape and strain rate on stress distribution as well as electrochemical behavior through COMSOL Multiphysics simulations. Findings show that defects with elevated aspect ratios generate intense stress gradients, resulting in focused plastic deformation and the onset of cracks. Additionally, higher strain rates worsen stress concentration and speed up anodic and cathodic reactions, amplifying hydrogen embrittlement and the deterioration of materials. As time passes, the redistribution of stress due to degradation leads to structural instability and increases the likelihood of failure. These results highlight the significance of combining mechanical and electrochemical analyses to gain a deeper insight into degradation mechanisms. This research offers important perspectives for enhancing defect surveillance, refining cathodic protection methods, and guaranteeing the enduring reliability of pipelines in dynamic and corrosive settings.
Technological and Economic Challenges of Green Hydrogen Production in Morocco for the European Market Mostafa, Bacaoui; Houssain, Marwan; Taleb, Jazouli
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 7 No 1: March 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.ijortas-0701.803

Abstract

This study explores Morocco’s potential as a green hydrogen producer, focusing on its capacity to serve the European market. As the world shifts to sustainable energy, Morocco, with its abundant renewable energy resources, particularly solar and wind, is positioned to play a significant role in green hydrogen production. The study aims to assess Morocco’s potential for large-scale hydrogen production, its economic and environmental benefits, implementation challenges, and export opportunities to Europe. A descriptive qualitative methodology was used, using a case study analysis of Morocco’s energy policies, infrastructure, and potential. Data were collected through document analysis and semi-structured interviews with energy experts and policymakers. The study findings reveal that Morocco’s strategic location, coupled with its renewable energy resources, make it an ideal candidate for green hydrogen production. However, technical challenges, such as inefficient electrolysis technology, and logistical issues associated with infrastructure development pose significant barriers. Despite these challenges, Morocco’s growing role in the global green hydrogen market presents substantial economic benefits, including job creation and emission reductions. Future research should address specific technological barriers, including storage and transportation solutions, and further explore financial models to support large-scale green hydrogen projects. In addition, future research should investigate the regulatory framework needed to position Morocco as a competitive player in the global hydrogen market.

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