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Journal of Engineering, Technology, and Applied Science (JETAS)
Published by Lamintang Education & Training Centre
ISSN : 27217949     EISSN : 27218090     DOI : https://doi.org/10.36079/lamintang.jetas
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics
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.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 6 No 1: April 2024" : 5 Documents clear
Speed Regulation of Direct Current Motor Using AC-DC Buck Boost Converter by using Soft Starter Method Khanh, Nguyen Truong; Minh, Hoang Anh; Dung, Doan Pham; Paarbrahm, Vaamdev; Roux, John Charters
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 1: April 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.jetas-0601.608

Abstract

Regulating the speed of direct current motors is essential in a variety of industries. The speed of direct current can be controlled by adjusting armature resistance, voltage and field current. Voltage regulation can be achieved by utilizing an AC-DC buck-boost converter for increasing and decreasing voltage. Additionally, it is important to take into account the initiation of a DC motor. Initiating operation of a DC motor necessitates a significant current to prevent potential harm to the insulation. Due to this, it is important to keep the current low when starting a DC motor. One method to decrease the initial current is by using a soft starter, where the reference current is compared to the motor's armature current. This research resulted in the development of a circuit that efficiently adjusts voltage levels with a pulse generator, making it easy to regulate the speed of direct current motors. A PI controller can also regulate the velocity of a direct current motor. During the trial, it was discovered that the initial current in a direct current motor never went beyond 25.6 amperes, making this technique highly efficient for initiating a direct current motor.
Covid Classification System for Covid Detection Haris, Muhammad Akmal Husaini; Saad, Ahmad Fadli
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 1: April 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.jetas-0601.610

Abstract

The ongoing global pandemic, which has now become an endemic has had a significant impact on the educational sector. Despite advancements in technology, there is no real- time prevention of COVID-19 transmission especially UiTM Tapah students that must go through crowd to reach health unit and have high possibility of spreading the disease. This research aims to develop a mobile application by utilizing machine learning for UiTM Tapah students to classify their COVID-19 status. To ensure a systematic and efficient development process, the research adopted the Mobile Application Development Life Cycle (MADLC) methodology. Within the application, the core of the machine learning functionality lies in the implementation of an Artificial Neural Network (ANN). By using 5,434 samples of data that had previously been classified by previous studies that analyzed student data such as symptoms to identify potential cases of the virus. The ANN approach performed greatly with the accuracy of 98%. Feedback from 32 respondents helped identify students' difficulties during the pandemic, which results in majority of the respondents agreeing that MCO affecting them adapting to online learning, and access to healthcare facilities. Furthermore, the usability testing conducted using the System Usability Scale (SUS) provided valuable insights into the system's user-friendliness and effectiveness. The results indicated a high level of usability, with a SUS score of 88.3 from 30 UiTM Tapah students while 76.25 from UiTM Tapah lecturers. This system was usable to classify the risk of infection among students who had not yet been diagnosed, while having some room for improvements. The system's ability to identify infected individuals promptly and accurately aided in controlling the spread of the virus, thereby protecting both students and staff. Thus, the classification system by using ANN was a valuable tool for public health organizations in their efforts to combat the COVID-19 pandemic.
Rating the Delivery Rate of TETfund Projects in South-East Nigerian State Universities Nnadi, Ezekiel Ejiofor; Omerhi, Oghenetega John; Boniface, Nancy Amarachi
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 1: April 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.jetas-0601.622

Abstract

The study evaluates the completion rates of Tertiary Education Trust Fund (TETfund) projects in South-East State Universities, highlighting the importance of timely completion for high-quality education and university infrastructure development in Nigeria's impoverished economic situation, where inadequate funding is common. The study was conducted in five South-East Nigerian state universities targeting the 6662 population. The analysis used SPSS, resulting in 35.5% of the sample. The results showed that the duration of Tertiary Education Trust Fund (TETfund) projects has influenced project completion rates in South-East Nigerian universities. 28% of respondents believe that time duration has led to some universities losing TETfund project approval, while 42% believe it has increased the likelihood of receiving more projects from TETfund. The test hypotheses confirmed that TETfund time duration has significant positive effect on the completion rate of projects. The model summary showed that time duration has caused some state universities to lose TETfund project approval, while it has continued to give universities the chance for more projects from TETfund. The study also highlighted the role of time to TETfund in ensuring projects approved must be completed at the appropriate time, which it assumes. The results showed that the F-value is the Mean Square Regression (3863.049), which is statistically significant (Sig =.000). The study suggests that State University management should maintain TETfund project duration due to high Federal Government funds and enforce stronger rules for project quality.
Automated Power Source Selection System for Uninterrupted Supply: Integration of Main Power, Solar Energy, and Generator Power Ukagwu, Kelechi John; Kapalata, Prosper; Eze, Val Hyginus Udoka
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 1: April 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.jetas-0601.632

Abstract

A consistent power supply is indispensable across various sectors, spanning from households to critical institutions like research facilities, hospitals, and financial institutions. This study endeavors to ensure uninterrupted power provision to a load through an automated selection process among three primary power sources: main power, solar energy, and generator power, with main power being the primary preference. Implemented using an 8051 microcontroller, the system is linked to three switches representing each power source for simulation purposes. Upon detection of a switch release or deactivation, signifying the absence of that particular power source, the microcontroller promptly deactivates the corresponding relay driver. This relay driver then switches the relevant relay, facilitating seamless power continuity to the load if any switch is activated. A lamp or bulb serves as a demonstrative load powered by the primary source. In the event of a power outage, the system seamlessly transitions to the next available source, such as solar energy, and if required, to generator power. An LCD is employed to indicate the currently active power source, ensuring operational transparency and facilitating swift troubleshooting when necessary.
Voltage Optimization on Low Voltage Distribution Transformer Zones Using Batteries in Uganda Iddi, Edema Simon; Umaru, Kalyankolo; Eze, Val Hyginus Udoka; Asikuru, Salama; Musa, Nassaga; Ochima, Noah
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 1: April 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.jetas-0601.639

Abstract

In the context of Uganda's rapidly growing energy demands and the need for sustainable solutions, this study explores the implementation of voltage optimization techniques in Low Voltage (LV) distribution transformer zones. The research focuses on the innovative integration of batteries to optimize voltage levels, thereby enhancing the efficiency and reliability of the electrical distribution system. By analyzing real-time data from various LV transformer zones in Uganda, this study investigates the impact of voltage fluctuations on the overall power distribution network. The research methodology involves the design and deployment of battery energy storage systems (BESS) strategically placed within LV distribution transformer zones. These BESS units are utilized to store excess energy during periods of low demand and release it during peak hours, ensuring consistent voltage levels and minimizing losses in the distribution network. The study evaluates the effectiveness of this approach through extensive simulations and on-site experiments, considering factors such as battery capacity, charging/discharging rates, and load variations. A comprehensive cost-benefit analysis is conducted to evaluate the potential financial savings and environmental impact associated with this sustainable energy solution. The findings of this research indicate significant improvements in voltage regulation, reduced system losses, and enhanced reliability in LV distribution transformer zones. Additionally, the study demonstrates the feasibility of integrating batteries into the existing infrastructure, thereby contributing to the optimization of the energy distribution system in Uganda. The outcomes of this research provide valuable insights for policymakers, utility companies, and researchers, emphasizing the importance of embracing innovative technologies to address the energy challenges faced by developing nations like Uganda.

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