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All Journal Journal of Information Technology and Computer Engineering
Oyedeji, Ajibola Oluwafemi
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Analysis and Prediction of Student Academic Performance Using Machine Learning Oyedeji, Ajibola Oluwafemi; Salami, Abdulrazaq M; Folorunsho, Olaolu; Abolade, Olatilewa R.
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.10-15.2020

Abstract

Analyzing the academic performance of students is of utmost importance for academic institutions and educationists, so as to know the ways of improving individual student’s performance. The project analyzed the past results of students including their individual attributes including age, demographic distribution, family background and attitude to study and tests this data using machine learning tools. Three models which are; Linear regression for supervised learning, linear regression with deep learning and neural network were tested using the test and train data with the Linear regression for supervised learning having the best mean average error (MAE).
Development of an Arduino Based Electric Cooker Timer System Oyedeji, Ajibola Oluwafemi; Oni, Abiola P.; Onaifo, Frank; Alao, Peter O.
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.28-31.2020

Abstract

The emerging trend in the world of semiconductor integration has brought about so many opportunities in the area of microcontrollers. This paper deals with the design and implementation of a microcontroller-based timer for home appliances using an Arduino microcontroller. This system is developed for the users to predetermine the time of operation of any home appliances using the electric cooker for implementation. The system is majorly comprised of the power supply unit, microcontroller unit, timer circuits and LCD display. The user can set any of the time given in the timer switch using keypad. The settings are stored in the microcontroller and the details are displayed in the LCD display. The appliance is controlled to run for the particular period set by the timer switch. The timer switch automatically makes the appliance off once the period is over. This system has been designed to be efficient, reliable and reduce energy wastage.
Comparative Analysis of Machine Learning Models for Detection of Fake News: A Case Study of Covid-19 Olayiwola, Abisola; Oyedeji, Ajibola Oluwafemi; Omoyeni, Oluwakemi; Ayemimowa, Oluwafemi; Olaoluwa, Mubarak
JITCE (Journal of Information Technology and Computer Engineering) Vol. 7 No. 01 (2023)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.29-33.2023

Abstract

During and after the Covid-19 pandemic, people rely heavily on the internet for information because of its easy accessibility. However, the spread of fake information through this medium has been fast-growing, especially during and after the pandemic. This study, therefore, aims to evaluate the performance of 5 machine learning models used in detecting Covid-19 fake news. The models were trained using the Covid-19 dataset gathered online. The dataset contains 7,262 real news and 9,727 fake news, totalling 16,989 news altogether. 80% of this dataset was used for training the models while 20% was used for testing them. The support vector machine (SVM) with 95%, 95%, 97% and 96% for the accuracy, precision, recall and F1-score respectively was the best classifier for detecting Covid-19 fake news and has shown a better performance than the other algorithms.
Co-Authors Abolade, Olatilewa R. Alao, Peter O. Ayemimowa, Oluwafemi Folorunsho, Olaolu Olaoluwa, Mubarak Olayiwola, Abisola Omoyeni, Oluwakemi Onaifo, Frank Oni, Abiola P. Salami, Abdulrazaq M