Journal of Novel Engineering Science and Technology
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Entrepreneurial Skills for Operational Adaptation to Emerging Trends in the Electrical Industry
Get PDFThe study's primary purpose was to assess the entrepreneurial skills required by electrical engineering students for operational adaptation to emerging trends in the Electrical Industry in Nigeria. The study, which adopted a descriptive survey research design, was conducted in northeast Nigeria and had three research questions and three null hypotheses. The study population was 211, which comprised 178 Lecturers of electrical/electronics from the three Federal Universities and seven polytechnics offering electrical/electronics engineering and 49 electrical/electronics industry supervisors in 33 establishments in North Eastern Nigeria. The study adopted a purposive sampling technique in which the entire population was used as the sample for the analysis. A structured questionnaire developed by the researcher titled Questionnaire for Entrepreneurial Skills Required by Electrical Engineering Students for Operational Adaptation to Emerging Trends (QESTREESOAET) was used as an instrument for data collection. Three experts validated the instrument, and a reliability index of 0.89 was obtained using Cronbach Alpha. The mean statistic was used to answer the research questions, while the t-test was used to test the null hypotheses at a 0.05 significance level. The study's findings revealed that ten managerial, ten accounting and 18 marketing entrepreneurial skills were identified as necessary skills for operational adaptation to emerging trends in the Electrical Industry in Nigeria. Based on the findings, the study recommended that the National University Commission (NUC), National Board for Technical Education (BTE) and the National Commission for Colleges of Education (NCCE) should develop a curriculum that will adequately introduce the concept of management and its importance to the students for adequate assimilation and practice for all students of electrical engineering
Analysis of Student Satisfaction with Student Affairs Unit Services: A Case Study of the Industrial Engineering Study Program at XYZ University
Get PDFStudent satisfaction is a crucial criterion for assessing the quality of higher education. This study aimed to measure student satisfaction with the scholarship service process in a higher education institution. The research employed multiple linear regression analysis using the Servqual model proposed by Parasuraman, which includes the variables of tangibles, responsiveness, reliability, assurance, and empathy. The population of this study consisted of 132 active students from the Industrial Engineering Study Program (IE), enrolled between 2016 and 2019. The partial test results revealed that reliability (Sig. 0.039 < 0.05) and assurance (Sig. 0.000 < 0.05) significantly influenced student satisfaction. The simultaneous test results demonstrated that tangibles, responsiveness, reliability, assurance, and empathy significantly impacted student satisfaction. The correlation coefficient, represented by R2 (0.754), indicated that the variables under investigation could explain 75.4% of the variation in student satisfaction. In comparison, the remaining 24.6% may be influenced by external factors beyond the scope of this study
Analysis of Location Determination for Temporary Waste Collection Points Using p-dispersion Method: An Application to Yogyakarta City, Indonesia
Get PDFThe city of Yogyakarta, particularly the Maliobro-Kranggan sector, with a total population of 117,656, has the potential to generate 221 m3/day of waste, while the total capacity of the existing temporary waste collection points or Temporary Disposal Sites (TPS) is 17 units with a capacity of 306 m3. The Yogyakarta Environmental Agency must reconsider the number of TPS facilities and their capacities to meet the community's needs. In certain areas, there are nearby TPS locations, causing some of them not to function optimally as the community chooses the ones that are easily accessible. On the other hand, the proximity of TPS facilities also disturbs the comfort of the community due to worsening odor pollution. In response to this issue, this research aims to determine the optimal number of TPS facilities and their ideal locations using the p-dispersion method. This method is used to determine facility locations by maximizing the minimal distance between each available facility. This research also adds a criterion by considering the travel distance from waste sources to the selected facilities. The study is conducted using Lingo 11.0 software. Based on the data processing results, 13 of 17 TPS facilities were established. The total capacity is 254 m3/day, which can serve as the waste source for 13 community locations. The objective value obtained is 5900, which indicates that the minimum separation distance for the ideal facilities is 5900 meters
Simulation and Analysis of Hatchback Car Driving Comfort and Handling Performance
Get PDFHatchback cars are one type of car that is widely used in Indonesia. Indonesia has various road conditions. What is essential for a vehicle is its driving comfort and handling performance. These aspects are not only to fulfil individual interests but also to increase safety while driving. The driving comfort can be tested through the chassis twisted road test, and the handling performance is tested through the double lane change test. Both tests are carried out by simulation with the CarSim software that applies mathematical modelling. The driving comfort is tested with a speed variation of 8 km/h to 16 km/h. Handling performance was tested with variations in loading of 1 passenger, four passengers, and four passengers + luggage. The parameters used to measure driving comfort are vertical acceleration, pitch, and roll angle. The parameters for handling performance are lateral acceleration, yaw and roll angle, and sheer force. The results show that the best driving comfort is obtained at 8 km/h. The handling performance value will improve if the vehicle load decreases
Development of Square Patch Microstrip Antenna Design by Using Three Dimension Finite Difference Time Domain Methods
Get PDFThe paper mainly focuses on developing a Square-shaped Microstrip Patch Antenna Design using Three Dimension Finite Difference Time Domain Methods. There have been many time steps for analyzing the electric field in the antenna design. The time step has been started from 0 ps to 1991 ps. The electric field changes from the starting point to the end of the time step prove the analysis of the developed antenna system's input signal and return loss, especially the square-shaped microstrip patch antenna based on the FDTD technique. The simulation results confirm that the fabricated antenna system is a perfect candidate for high-frequency purposes. The analysis has been developed by using MATLAB language
Latest Trends in Visual Manipulation and Navigation in Robotics
Get PDFIn recent decades, the term Robot has become more and more popular. A robot can be defined as a machine that is specifically built to complete certain tasks to help human-being. In order to successfully accomplish its task, the robot needs to receive input data and process it. Then, the processed data is used for manipulator-actions decision-making. The input data can vary from sound, temperature, vibration, touch, vision, etc. Among those input data, vision is arguably one of the most challenging data. This is because vision often needs detailed and complicated preprocessing before it can be used. In addition, vision data size is relatively larger compared to the other type of input data, making it more challenging to process considering the computational resources. In this paper, current research and future development trend of robotic vision were reviewed and discussed. Further, challenges and potential issues about robot vision, such as safety and privacy concerns, were also discussed
AI Big Data System to Predict Air Quality for Environmental Toxicology Monitoring
Get PDFPollutants in the air have a detrimental effect on both human existence and the environment. Because it is closely linked to climate change and the effects of global warming, research on air quality is currently receiving attention from a variety of disciplines. The science of forecasting air quality has evolved over time, and the actions of different gases (hazardous elements) and other components directly affect the health of the ecosystem. This study aims to present the development of a prediction system based on artificial intelligence models using a database of air quality sensors.This study develops a prediction model using machine learning (ML) and a Decision Tree (DT) algorithm that can enable decision harmonization across different industries with high accuracy. Based on pollutant levels and the classification outcomes from each cluster's analysis, statistical forecasting findings with a model accuracy of 0.95 have been achieved. This may act as a guiding factor in the development of air quality policies that address global consequences, international rescue efforts, and the preservation of the gap in air quality index standardization.
 
Comparison of K-Means Algorithm and DBSCAN on Aftershock Activity in the Flores Sea: Seismic Activity 2019-2022
Get PDFThis study seeks to determine whether the clustering method can be used to analyze Flores Sea earthquake activity. In this investigation, the BMKG Repo serves as the source for real earthquake vibration data collection. The stages of this research include preparing the data in CSV format and then preparing the data to eliminate useless data by identifying missing data. On the basis of the research data, it was determined that the K-Means and DBSCAN methods are used to determine the clustering method for analyzing earthquake activity. In addition, the data is depicted using a graphical Elbow method so that we can determine the number of clusters of aftershocks in the Flores Sea. The results of the visualization of aftershocks that followed earthquakes in the Flores Sea between 2019 and 2022 revealed three distinct groups of earthquake source depths: 33 to 70 kilometers, 150 to 300 kilometers, and 500 to 800 kilometers. In terms of the shilhoute index parameter, the K-Means algorithm is preferable to the DBSCAN algorithm when clustering results are used to analyze earthquake activity
The Effect of Attenuation on Simulation of Tsunami Wave Propagation Using FDM
Get PDFThis study seeks to investigate the shape of the surface of tsunami waves using the finite difference method and the effect of the damping function on the simulation of tsunami wave propagation using Matlab-based visualisation. The effect of attenuation on the propagation of tsunami waves is measured by the variation in energy. The results of the investigation indicate that tsunami waves have a transverse wave form, with waves propagating in a perpendicular direction. In the meantime, the analysis of the damping function reveals a decrease in the value of energy; this indicates that if the damping function is provided, it will have the effect of reducing the wave energy and propagation speed of tsunami waves. This modelling clearly and realistically illustrates the results of wave movement visualisation and provides insight for disaster mitigation and coastal protection
Nano Revolution: Advancing Civil Engineering through Nanomaterials and Technology
Get PDFNanomaterials hold immense potential for transforming the field of civil engineering, offering enhanced performance and durability to infrastructure materials. However, their successful implementation faces several challenges and limitations that must be addressed. This abstract highlights the critical challenges associated with nanomaterials in civil engineering, including high production costs, scaling up production, health and safety risks, long-term performance and stability, standardisation and regulation, integration with existing construction practices, lack of comprehensive data and knowledge, and the need for multidisciplinary collaboration. Overcoming these challenges requires optimised manufacturing techniques, safety measures, extensive research, standardised protocols, and cooperation among researchers, engineers, manufacturers, regulators, and policymakers. Addressing these issues will pave the way for the safe and effective utilisation of nanomaterials in civil engineering, unlocking their potential to create sustainable, resilient, and innovative infrastructure systems