Journal of Engineering and Industrial Technology, Kalasin University

Integration of Blockchain, Supercapacitors, and Dynamic Reactive Compensation for Smart Load Management in Smart Campus Buildings

Santi Karisan — 2025-10-27

This research aims to design and develop an intelligent load management system for an educational building under the Smart Campus concept. A novel approach is proposed by integrating advanced technologies: Blockchain for transparent data recording, Supercapacitor for rapid energy storage and discharge during peak load conditions, and Dynamic Reactive Compensation (DRC) to stabilize power quality. The system was implemented in the educational building of the College of Industrial Technology, RMUTSV. The developed system represents a groundbreaking innovation by integrating Internet of Things (IoT) and Blockchain technologies for the first time in the context of an educational building to achieve real-time, efficient, and transparent load management. Real-time current data were collected via IoT devices from December 2024 to February 2025. Experimental results comparing the system performance before and after installation showed that the phase load imbalance was reduced from 12.8% to just 3.4%, and the power factor improved from 0.82 to 0.97, leading to a 28.7% reduction in reactive power losses. The Supercapacitor was able to supply up to 11.4 kW within 0.7 seconds, mitigating voltage sag during peak load periods by more than 65%. The Blockchain system recorded load data every second without data loss, with an access latency of less than 0.6 seconds. Overall electrical system efficiency in the building increased from 88.2% to 96.5% within three months. The results demonstrate significant improvements to the building’s electrical system, indicating its potential to be scaled up to a fully intelligent building or Smart Campus in the future.

Optimization of Robotic Arm Welding Parameters for Carbon Steel

Teepach Chaiyasol — 2025-10-27

This research aimed to mainly investigate using an industrial arm robot for proper welding carbon steel as a fillet procedure. The Box Behnken was designed for the experiment and tested 30 times. The three following elements were examined as follows: electric current, wire feed speed, and welding speed. The used materials were carbon steel with a width of 100 cm., length of 150 cm., and thickness of 4.5 mm., the welding wire size of MIG 1.2 mm., and the shielding gas of CO₂ 100% at a frequency of 1.4 Hz. Testing pressure power of the welding line was conducted by the machine, the Toyo brand with a capacity of 60 Tons (Model 60T) using the method of the Corner Joint. The results revealed that the proper welding elements were an electric current of 113.5 A, a wire feed speed of 3.0 m/min., and a welding speed of 4.0 mm/s. achieved tensile/compressive strength 4,500 kg/cm². A value of R² greater than 75 percent indicates that the data from the experiment was reliable and accurate. The D value was equal to 1, which can make the resulting response gain complete satisfaction. the quality standards of a welding line that was completed according to an acceptable standard.

The Development of Jacquard Shedding Mechanism on Folk Loom of Ban Nong Trat Noi Silk Weaving Group, Chum Het Sub-district, Muang District, Buriram

Wachirasak Kainwong — 2025-10-27

This study aims to develop a 400-hook Jacquard shedding mechanism tailored for traditional handlooms used by the Ban Nong Trat Noi silk weaving group in Buriram Province. The primary goal is to create a functional prototype that can be effectively integrated within community-based production systems. In addition, the research includes the design and fabrication of auxiliary tools such as a punch card drilling machine and a card threading machine to support the production of patterned silk textiles and reduce dependence on highly skilled labor. The innovation is intended to facilitate the transfer of knowledge through technology adapted to local contexts. The findings from the study demonstrate improvements in production efficiency and enable broader participation from younger individuals and those without prior weaving experience, thereby contributing to the preservation of indigenous knowledge and community-level economic development. The research methodology involved assessing user requirements, designing and constructing prototype equipment, conducting field installations and testing, and evaluating performance using both quantitative and qualitative methods. Experimental results show that the developed Jacquard system improves weaving speed to an average of 45.72 centimeters per hour—approximately three times faster than the traditional process. The punch card drilling machine operates at an average rate of 25 cards per hour, and the card threading machine completes each unit in approximately 3.5 seconds. Mechanical analysis reveals that pressure generated from the knife box significantly influences the accuracy of warp thread elevation, directly affecting the clarity of woven patterns. The system's design incorporates principles of motion dynamics and optimized force distribution to reduce operator fatigue and enhance operational stability. User satisfaction was reported to be high, affirming the practicality and relevance of the system. Recommendations include continuous training and customization of the equipment to suit various local environments, thereby supporting scalability and sustainable application across different community settings.

Application of the Hybrid GRA-MARCOS Technique for Decision-Making in the Selection of Artificial Intelligence Technologies to Enhance Production and Management Efficiency in Industrial Plants

Weerapol Taptimdee — 2025-10-27

In an era where the industrial sector is faced with intense competition and rapid technological advancement, the strategic adoption of artificial intelligence (AI) technologies has become essential for enhancing production and management efficiency. However, selecting the most suitable AI technology tailored to the specific context of each organization remains a complex challenge due to the diversity of available options, each offering different capabilities and limitations. This study introduces the application of the Hybrid GRA-MARCOS technique, which integrates the strengths of Grey Relational Analysis (GRA) noted for its ability to handle incomplete and uncertain data with the MARCOS method, which ranks alternatives based on both ideal and anti-ideal solutions. This hybrid approach facilitates a systematic and transparent decision-making process for AI technology selection. The research employed expert input from 15 industrial engineers to evaluate 14 AI alternatives using 6 key criteria: accuracy, coding capability, system integration, processing speed, cost-effectiveness, and real-world reliability. The analysis revealed that Gemini (by Google) emerged as the most suitable alternative, followed by Microsoft Copilot, IBM Watsonx, and Grok. These results affirm the robustness of the Hybrid GRA-MARCOS method in supporting multi-criteria decision-making in complex industrial environments with high precision and credibility.

The Development of a Learning Media Website for Grade 3 Computer Science Students

Samran Lertkonsarn — 2025-10-27

This study aimed to (1) develop an educational website for the Computational Thinking subject targeted at Grade 3 students and (2) evaluate users’ satisfaction with the developed website. The findings revealed that the website effectively supported online teaching and learning. It featured a user-friendly interface, simple navigation, and a design appropriate for the target age group. The overall visual presentation was engaging and accessible, contributing to a high level of user satisfaction, with an average satisfaction score of 4.51 out of 5, which is considered "very good." The analysis indicated that the website effectively addressed the needs of both students and teachers in terms of content quality, ease of use, and the learning progress tracking system. However, certain areas for improvement were identified, particularly regarding the clarity of initial navigation and the integration of multimedia content such as instructional videos, educational games, and interactive activities. Implementing these enhancements is expected to further improve students’ comprehension, increase engagement, and enhance learning outcomes. Additionally, it may reduce teachers’ workload in monitoring student progress and support more efficient teaching and learning management.