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Yusram, S.Pd., M.Pd
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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 78 Documents
Computerized Game 'Delivery Dash' Based on the Basic Topic of Operation in Mathematics Subject Che Mohd Sukri, Nur Syazwi; Abdul Rahman, Mohd Hishamuddin; Manaf, Abdi
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 5 No 3: December 2023
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-0503.598

Abstract

Mata pelajaran Matematik sentiasa mengalami anjakan paradigma apabila unsur-unsur baru dimasukkan ke dalam sukatan pelajarannya bagi memenuhi kehendak dan cabaran masa hadapan setiap pelajar. Matlamat pendidikan matematik sekolah rendah ialah untuk membina kemahiran asas mengira. Justeru itu program Matematik sekolah rendah memberi tumpuan kepada kemahiran mengira iaitu tambah, tolak, darab, bahagi dan penyelesaian masalah harian secara berkesan. Projek “DELIVERY DASH” ini telah dibangunkan untuk memberi keseronokan kepada murid untuk bermain sambil belajar dalam topik Operasi Asas dalam subjek Matematik. Setelah projek ini dibangunkan, borang soal selidik telah diedarkan untuk memastikan projek ini dijalankan mengikut spesifikasi yang ditetapkan oleh permainan komputer. Dengan pembelajaran dan pengajaran topik ini menjadi lebih menarik. Permainan ini terdiri daripada 5 peringkat. Berdasarkan hasil kajian, para pengguna berpuas hati dengan permainan komputer ini yang menjadikannya lebih mudah dan lebih menarik dalam pembelajaran untuk murid. Computerized Game 'Delivery Dash' Based on the Basic Topic of Operation in Mathematics Subject Abstract: New elements are included in Mathematics subject as a syllabus to meet the future needs and challenges of each student. The goal of primary school mathematics education is to build basic counting skills. Therefore, the primary school Mathematics program focuses on counting skills, such as addition, subtraction, multiplication, division and effective daily problem solving. This project "DELIVERY DASH" has been developed to give students fun to play while learning in the topic of Basic Operations in the subject of Mathematics. After the project was developed, a questionnaire was distributed to ensure that the project was carried out according to the specifications set by the computer game. By learning and teaching these topics become more attractive. The game consists of 5 levels. Based on the results of the study, users are satisfied with this computer game which makes it easier and more interesting in learning for students. Keywords: Basic Operation, Computer Game, Delivery Dash, Questionnaire Form.
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.
Mitigating Professional Interference for Sustainable Growth in the Nigerian Construction Industry: A Comprehensive Review Nnadi, Ezekiel Ejiofor; Akabudike, Priscilla Oluchi
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 2: August 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-0602.640

Abstract

The Nigerian construction industry is a dynamic sector with various professional roles and rivalries, crucial for economic development and stability. However, professional interference can hinder its sustainable growth and expansion. A multi-faceted approach involving multiple stakeholders, including government bodies, industry associations, professionals, and the public, is needed to create an environment that promotes professionalism, accountability, and quality in the industry. Understanding the implications and consequences of professional interference is crucial for sustainable growth in the Nigerian construction industry. A qualitative research study identified the core roles of NIA, NIQS, and NSE and the causes of professional interference. According to our study, it is recommended that the Federal Republic of Nigeria create regulatory councils for professional organizations in the construction sector to define their boundaries, tasks, and obligations. Stringent regulations and enforcement of laws are necessary to prevent professionals from overlapping roles and responsibilities, to avoid potential repercussions like losing their practice licenses, tarnishing their reputation, and legal consequences under media scrutiny.
Bird Species Classification System Using Transfer Learning Saad, Ahmad Fadli; Muhaiyuddin, Arina Syakirah; Iksan, Nur
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 2: August 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-0602.651

Abstract

Manual recognition is limited by the observer's expertise and knowledge, which can lead to errors when observed by non-experts. The objective of this research is to create a machine learning algorithm that can accurately classify bird species based on physical features and develop a software system that includes the machine learning algorithm, allowing for efficient classification of different bird species. This research also wants to evaluate the accuracy of the approach in real-world scenarios. The methodology research uses the machine learning life cycle model and software development life cycle model. The research aims to provide a user-friendly interface that recommends bird species classifications based on uploaded images, ultimately contributing to a more accessible and informative bird identification experience. In this research, the F1-score with fine-tuning is reported as 0.8889. It is close to 1, it suggests a well-balanced performance in terms of correctly identifying positive instances which is precision, and capturing relevant positive instances which are recalled. Based on the result, the proposed system can enhance users' ability to accurately identify and classify various bird species through the utilization of a pre-trained convolutional neural network model.
Modeling and Implementation of a Hybrid Solar-Wind Renewable Energy System for Constant Power Supply Mubeezi, Conceptar; Umaru, Kalyankolo; Eze, Val Hyginus Udoka; Jim, Migisha; Asikuru, Salama; Musa, Nassaga; Ochima, Noah; Okafor, Wisdom
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 2: August 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-0602.655

Abstract

In recent years, Uganda has significantly increased the use of renewable energy sources, particularly solar and wind power. These energy sources are especially crucial in rural and remote areas where connecting to the national grid is challenging. Renewable Energy Sources (RES) have proven to be cost-effective alternatives to traditional energy sources, which often require substantial investments in transmission and distribution networks. This study focuses on designing and implementing a hybrid renewable energy system that integrates both solar and wind power. The research successfully established a reliable and continuous power supply for the community through the combination of wind and solar energy. The hybrid power generation system operates by simultaneously monitoring solar and wind energy using an ACS712 current and voltage sensor. Controlled by a microcontroller, the system employs dual-channel relay switches to activate the power source with sufficient energy to charge the battery. The programming for this system was conducted using C++ and Arduino software. This study highlights the vast potential within the field of sustainable energy. With rapid and economical electricity production, this hybrid system paves the way toward a greener future, where our energy needs can be met in an environmentally friendly manner.
Refill Water Management System Using an IoT-Based Water Flow Sensor Sourideth, Phetsamone; Phonepaseuth, Phosy; Panthongsy, Khamphanh; Marie-Cécile, Péra
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 2: August 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-0602.666

Abstract

The primary and crucial use of water is as a drink. It is crucial for meeting the fluid needs of the human body. Dying from dehydration can occur when 15% of body weight is lost from not having enough water. Currently, numerous water refill points are accessible, sourced from both boreholes and mountain springs. Water is traditionally measured in transportation cars by filling the container without tracking the water input and output. This study aims to create a reusable water-filling control device that will track the inflow and outflow of water in the storage tank with the help of a Water Flow Sensor. The data obtained is based on analysis using the Arduino Uno in determine the volume of water, which is sent to the web server via the ESP8266 Wifi Module, providing the water volume information is shown directly on the management system app. Real-time viewing of the water volume data from the water flow sensor is possible in the refill water management app. After carrying out experiments; the 1,500 ml experiment showed the highest accuracy at 99.47%. The deviation of the 1,500 ml experiment is only 0.53%, showcasing the potential benefits of an automated water management system.