Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Journal of Multidisciplinary Science: MIKAILALSYS Mikailalsys Journal of Mathematics and Statistics International Journal of Education, Management, and Technology
Michael, Ajao Olutunde
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
A Study of Selected Crimes Committed in Nigeria Ayo, Ayenigba Alfred; Michael, Ajao Olutunde
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i2.5310

Abstract

This study conducts a detailed statistical analysis of criminal offenses across Nigeria's 36 states and the Federal Capital Territory (FCT), using data from the National Bureau of Statistics (NBS). Focusing on four primary crime categories, the research highlights significant regional disparities in crime frequency and nature. Lagos State is identified as the most affected area, with nearly 50,000 reported cases, attributed to its dense population and economic significance. The Federal Capital Territory and Cross River State also show high crime rates, though notably lower than Lagos. In contrast, states like Kebbi, Jigawa, and Zamfara report minimal criminal activity. Regionally, the South West zone records the highest crime frequencies, particularly in offenses against property and persons, while the North Central zone is predominantly affected by property crimes. Chi-Square analysis (χ² = 8171.757, p < 0.001) confirms a significant association between crime types and geographical zones. Correlation analysis reveals strong positive relationships between certain crime types, such as offenses against persons and property (r = 0.783). These findings underscore the complex and regionally varied nature of crime in Nigeria, highlighting the need for tailored, location-specific law enforcement and crime prevention strategies. The study provides crucial insights for policymakers and law enforcement agencies, emphasizing the importance of considering regional socio-economic and demographic factors in crime reduction efforts.
A Model of the Spread of Chlamydia Trachomatis Michael, Ajao Olutunde; Adebowale, Adejumo O.
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5462

Abstract

Chlamydia as sexually transmitted disease that has major occurrence in sub-Saharan African where Nigeria is predominant this create a necessity to be concern about its spread within the nation.The SEScITR model with six compartments (Susceptible, Exposed, Screened, Infectious, Treated, Recovered) of human population was formulated. The parameters in the model were obtained from literatures and some were assumed. The ordinary differential equations were obtained using Runge Kutta Fehlberg Method and analysis of our system of equations was done using Maple 2017. Simulated data obtained through RStudio were used and our analysis were done using deSolve package on Rstudio. The formulated model was further analyse to get the reproduction number which is 0.67. The local and global stability ofSEScITR modelwas investigated using Jacobian matrix and Lyapunov function respectively and the results shows that Chlamydia disease free equilibrium is locally and globally asymptotically since R0<1 i.e.R0 =0.67. Also, the endemic state of Chlamydia equilibrium is locally and globally stable when R0>1.
Statistical Analysis on Engagement Patterns of Fresh Graduates around Different Online Learning Platforms Michael, Ajao Olutunde; Ayo, Ayenigba Alfred; Elizabeth, Ojekunle Odegua
International Journal of Education, Management, and Technology Vol 3 No 3 (2025): International Journal of Education, Management, and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijemt.v3i3.7353

Abstract

In the digital era, online learning platforms have become essential tools for delivering education at a global scale. This study examines user engagement across three major platforms—Coursera, edX, and LinkedIn Learning—with a focus on how engagement metrics correlate with perceived learning outcomes. Utilizing a mixed-methods approach, data were collected from 124 fresh graduates (within 0–3 years post-graduation) through structured questionnaires and analyzed using descriptive statistics, ANOVA, t-tests, and chi-square tests. The results indicate that users primarily engage with these platforms to enhance employability and earn certifications, with Coursera and LinkedIn Learning being the most frequently used. Courses related to career-specific skills and personal development were highly preferred. Engagement frequency was high, with most participants accessing content daily or weekly. Motivating features included video lectures and interactive elements, while time constraints and high subscription costs were identified as major barriers. Regression analysis confirmed a statistically significant relationship between user engagement and perceived learning effectiveness (p ≤ 0.05). Furthermore, the study found significant differences in engagement patterns influenced by platform interactivity, content quality, and the availability of certifications. The study concludes that optimizing platform design by offering accessible, career-relevant content and reducing time and cost barriers is critical to improving learner engagement and educational outcomes.
Co-Authors Adebowale, Adejumo O. Ayo, Ayenigba Alfred Elizabeth, Ojekunle Odegua