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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 57 Documents
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Evaluating Public Procurement's Challenges in Nigeria's Construction Industry Boniface, Nancy Amarachi; Nnadi, Ezekiel; Eze, Val Hyginus Udoka
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 6 No 1: March 2024
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-0601.621

Abstract

The article explores the challenges faced by public project management in Nigeria, focusing on the procurement process and its potential improvements. The research used a survey and descriptive design, collecting data from 125 procurement offices and federal Ministry of Works professionals. The study found that poor risk management, dark purchasing, corruption, and lack of transparency were the top issues, with a mean score of 4.96. The study also found that the procurement process and industry, economy, and project quality had a joint influence on the dependent variables. The study rejected the null hypothesis, stating that the procurement process significantly impacts the industry, economy, and project quality in Nigeria. The research recommends implementing measures to improve the procurement process and punishing offenders to reduce fraud. The study concludes that the procurement process in Nigeria significantly impacts the industry, economy, and project quality.
A Comparison of Conventional Blocks and Stabilized Earth Blocks as Building Materials in Uganda Nnadi, Ezekiel Ejiofor; Boniface, Nancy; Eze, Val Hyginus Udoka
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 6 No 1: March 2024
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-0601.635

Abstract

In Uganda, the high cost of conventional cement and sand blocks has driven the widespread adoption of alternative building materials, such as wattle bricks, compressed earth blocks, and burnt bricks. Among these, compressed earth blocks have gained popularity due to their eco-friendly, energy-efficient, and biodegradable nature. Made by compressing damp soil at high pressure, these blocks offer an environmentally sustainable solution by minimizing deforestation and eliminating the need for firewood, which is often used in the production of traditional bricks. This study employed a case study methodology and utilized deliberate sampling to gather data, which was then analyzed using SPSS v20. The findings revealed that Stabilized Earth Materials (SEMs) have a stronger positive correlation with user satisfaction compared to conventional blocks, with a satisfaction rating of 0.651 for SEMs versus 0.602 for conventional blocks. Additionally, the study showed that SEMs had a notable impact on reducing construction costs, with a 4.8% cost difference in favor of SEMs. Based on these results, it is recommended that construction managers should consider increasing the use of stabilized earth materials. This shift could not only lead to significant cost reductions but also improve the overall quality of construction, making it a more sustainable and viable option for Uganda’s building industry.
Optimization of Optical Distribution Point Device Placement on Fiber Optic Cable Networks to Homes Wahyudiono, Pratiwi Hendro; Indrapriyatna, Ahmad Syafruddin
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 6 No 2: September 2024
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-0602.659

Abstract

Competition in telecommunications technology places demands on companies to always innovate to release the latest services. Currently, the issue of optical distribution point (ODP) infrastructure has become important in fiber to the home (FTTH) network access. This research aims to optimize the placement path for ODP devices on PT BCV’s FTTH network using a traveling salesman problem (TSP) scheme with a hybrid genetic algorithm approach, testing is carried out using Matlab software. From the results obtained in this study, it was concluded that the hybrid genetic algorithm parameters for a population size of 100 with a number of iterations of 2000 by comparing the combination of cross probability parameters of (0.25), (0.5), and (1) and mutation probability of (0.050), (0.025) and (0.005) produces the best fitness value in the combination of Pcrossover = 0.25 and Pmutation = 0.005 and the worst fitness value in the combination of Pcrossover = 1.00 and Pmutation = 0.025. Therefore, researchers recommend a combination of genetic algorithm hybrid parameters with a combination of Pcrossover = 0.25 and Pmutation = 0.005 with a population of 100 and with a number of iterations of 2000.
Impregnation Effect of Synthesized Fe3O4 Nanoparticles on the Jabon Wood’s Physical Properties Rahayu, Istie Sekartining; Ismail, Rohmat; Darmawan, Wayan; Wahyuningtyas, Irma; Prihatini, Esti; Laksono, Gilang Dwi; Khairunissa, Dhiya
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 6 No 2: September 2024
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-0602.701

Abstract

This study focused on characterizing synthetic magnetite (Fe3O4-NP) and evaluating the impregnated jabon wood’s physical properties. The co-precipitation method used for the synthesis of Fe3O4-NP, namely by mixing the iron solution (n/n Fe2+:Fe3+=1:2) with the strong base of sodium hydroxide (NaOH) (MG-S) and weak base of ammonium hydroxide (NH4OH) (MG-W) as precursors. The impregnation stage uses parameters of a -0.5 bar vacuum for half an hour and 2 bar pressure for 2 hours with magnetite concentrations of 1; 2.5; 5% w/v in a demineralized water solvent. Scanning electron microscopy-energy dispersive x-ray spectroscopy (SEM-EDX) and Fourier transform infrared spectrometry (FTIR) confirmed the presence of Ferrum content and Fe-O functional group in both Fe3O4-NPs produced. The Fe3O4-NP size was also measured via the X-ray diffraction analysis, namely 34.54 nm for the MG-S and 39.24 nm for the MG-W. Magnetic strength obtained was 7.51 mT for the MG-S and 8.58 mT for the MG-W. The impregnated jabon wood’s physical properties also improved with indications of an increase in wood density, weight percent gain (WPG), bulking effect (BE), anti-swelling efficiency (ASE), and a decrease in water absorption (WA). The results showed the best treatments were MG-S 2.5% and MG-W 5%.
Emerging Trends and Challenges in Chatbot Technology: A Japanese Industry Perspective Ismail, Andi Regina Acacia; Fujita, Shunya; Sakamoto, Kenji; Takahashi, Hiroko; Panessai, Ismail Yusuf
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 6 No 1: March 2024
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-0601.708

Abstract

This study examines the impact of chatbot technology across various industries, including e-commerce, healthcare, education, banking, and travel, based on interviews and surveys conducted in Japan in March 2024. Using a mixed-methods approach, we analyzed both quantitative survey data and qualitative interview insights. Findings show that 75% of e-commerce businesses experienced a 30% reduction in response times and a 40% increase in user engagement, while healthcare providers saw a 20% decrease in administrative tasks for 65% of respondents, though 25% reported data privacy concerns. Educational institutions achieved a 25% reduction in administrative workload and a 50% boost in student interaction, with 70% of students finding chatbots beneficial. In banking, 80% of institutions realized a 35% reduction in response times, but 30% encountered data security challenges. Travel agencies noted a 40% faster booking process and a 20% decrease in operational costs, benefiting 60% of customers. Despite these advantages, common challenges include integration with legacy systems, data security, and handling complex queries. Recommendations include investing in ongoing improvements, enhancing data privacy measures, and training users. Future research should focus on advanced natural language processing, long-term impacts, and ethical considerations related to chatbot use.
Implementation of Sugeno Fuzzy Logic Method as an Automatic Humidity and Moisture Control System in Terrarium Maulana Cahyani, Dani Syaban; Ikhsan, Muhammad
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 6 No 2: September 2024
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-0602.711

Abstract

A terrarium is a mini ecosystem that requires precise humidity control to ensure plant growth and the survival of animals within it. However, manual humidity control is difficult to implement consistently, especially if the external environment changes. This problem can be overcome by implementing an automatic system based on Sugeno fuzzy logic. This research aims to design and implement an automatic system that is able to control terrarium humidity dynamically using a fuzzy logic approach. This system is designed using humidity sensor data as input which is then processed through Sugeno fuzzy logic to determine appropriate control actions. The method used involves modeling input humidity and temperature sensors, determining fuzzy rules, and defuzzification using the Sugeno method to regulate the automatic irrigation system in the terrarium. Tests were conducted under several different environmental conditions to measure the system's response to changes in humidity and temperature. The research results show that the system is able to maintain terrarium humidity within optimal limits with a low error rate. The system is able to adjust control actions in real-time, produce consistent calculations, and provide humidity stability despite external changes.
Opportunities and Challenges of Blockchain Technology in Non-Crypto Sectors Wu, Hwang Tsung; Huang, Tang Chen; Foley, Cotman; Stuart, Mark
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 6 No 2: September 2024
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-0602.715

Abstract

Blockchain technology has evolved into a foundational technology with transformative potential across various industries, extending beyond its initial application in cryptocurrencies. This research aims to explore the application of blockchain in logistics, healthcare, and banking sectors in California, focusing on the regulatory challenges and opportunities it presents. The primary research questions include: What are the practical applications and benefits of blockchain in these sectors? What regulatory barriers hinder its adoption? Employing a mixed-methods approach, this study combines qualitative case studies through semi-structured interviews with blockchain experts, industry practitioners, and policymakers, alongside quantitative analysis of market trends from the summer of 2023. The findings reveal that blockchain significantly enhances transparency and efficiency, with 75% of logistics participants acknowledging its benefits, a 50% adoption rate in banking, and 90% of stakeholders reporting increased transaction transparency. However, challenges remain, including fragmented regulations, high implementation costs, and scalability issues, particularly in healthcare, where adoption is low at 36%. Future research should focus on longitudinal studies to assess the long-term impacts of regulatory changes on blockchain adoption, as well as examining the effectiveness of collaborative frameworks among industry stakeholders to drive innovation. By addressing these challenges, this research contributes to the ongoing discourse on how blockchain can be effectively implemented and regulated across various sectors in the United States.
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.

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