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All Journal ALSYS : Jurnal Keislaman dan Ilmu Pendidikan Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art ALSYSTECH Journal of Education Technology Mikailalsys Journal of Mathematics and Statistics Educational Researcher Journal
Idi, Danjuma
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Religion Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Statistical Model for the Occurrence of Typhoid Fever in Takum, Taraba State, Nigeria: An Arima Model Approach Mathew, Stephen; Idi, Danjuma
ALSYS Vol 4 No 6 (2024): NOVEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsys.v4i6.3580

Abstract

This study analyzes Typhoid Fever incidence at General Hospital Takum from 2012 to 2021 using ARIMA model. The initial data was non-stationary, necessitating differencing to achieve stationarity. The ARIMA (4,1,1) model, selected based on AIC, AICC, and BIC criteria, showed parameters within stationarity and invertibility constraints. Diagnostic tests validated the model's robustness, with Box-Ljung (Chi-Square = 6.7435, p = 0.7598), Shapiro-Wilk (W = 0.9754, p = 0.1213), and ARCH-LM (Chi-Square = 5.8762, p = 0.8176) results supporting its adequacy. Forecasts for the next 24 months indicate a significant upward trend in Typhoid Fever cases. The study recommends among others a regular update to the model with new data to ensure accuracy, consideration of additional variables that may influence Typhoid Fever trends, and implementation of targeted public health interventions based on forecasted trends to mitigate the rising incidence.
A Statistical Analysis of Attitudinal Changes Towards Female Breadwinners in Wukari Local Government Area Mathew, Stephen; Idi, Danjuma; Dangana, Blessing
ALSYS Vol 4 No 5 (2024): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsys.v4i5.3581

Abstract

This study carried out a statistical analysis of attitudinal changes towards female breadwinners in Wukari Local Government Area, Taraba State, Nigeria. Using a survey research method, a sample of 400 were examined. Primary data were collected using structured questionnaire and analysed using frequency counts and simple percent. Hypothesis were tested using the chi-square statistic. The findings reveal that a significant proportion of respondents recognize the importance of defining roles and responsibilities within the family, acknowledging the potential impact of female breadwinners on traditional family structures. Additionally, a notable portion of respondents agree that female breadwinners face financial and other challenges. Also, the findings reveal a significant shift in gender roles, driven by economic opportunities, social dynamics, and cultural norms. Hypothesis testing further demonstrates a significant increase in female breadwinners in the area, attributed to economic, social, and cultural factors. The study concludes by emphasizing the need for understanding and recommends awareness programs, policy interventions, educational initiatives in Wukari LGA.
Modelling the Dynamics of Exchange Rates and GDP in Nigeria: A Single Equation Error Correction Model (ECM) Analysis Stephem, Mathew; Idi, Danjuma
Journal of Multidisciplinary Science: MIKAILALSYS Vol 2 No 2 (2024): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v2i2.3506

Abstract

This study eval_uates the effect of exchange rates on Nigeria's economic growth between 1990 and 2020 was examined. The exchange rate was limited to the nominal exchange rate, and real gross domestic product was used as a proxy for the growth of the economy. Secondary data were collected from the Central Bank of Nigeria statistical bulletin for the period of the study. The OLS regression and Granger Causality test were used for analysis in the study. The findings demonstrated that one of the two explanatory variables, exchange rate, has a substantial significant effect on economic growth. The causality test also showed that there is two-way causality between exchange rate and the economic growth. The study concludes that increase when there is increase in exchange rate, the economic growth (GDP) will increase in Nigeria since exchange rate is and essential and significant predictor of economic growth.
A Statistical Evaluation of the Occurence of Meningitis in Takum, Taraba State, Nigeria Idi, Danjuma; Akobi, Clement; Stephen, Mathew; Bamigbala, Olateju Alao
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4112

Abstract

Meningitis remains a critical public health issue in Nigeria, particularly within the dry season when environmental factors such as low humidity and dust elevate transmission risks. Using historical incidence data from 2012 to 2021, this study utilizes the Autoregressive Integrated Moving Average (ARIMA) model estimate and predict the occurrence of meningitis occurrences. Findings frm the study revealed that the ARIMA(1,1,0) model emerged as the optimal fit, capturing the seasonal patterns and temporal trends in meningitis cases. This study recommends the integration of ARIMA-based forecasting into Nigeria’s public health strategies to strengthen early warning systems, optimize resource deployment, and enable more proactive responses during high-risk periods.
Predictive Autoregressive Integrated Moving Average Model; Meningitis Death and Alzheimer Death Ogunmola, Adeniyi Oyewole; Onowuzou, James Oruarooghene; Idi, Danjuma
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4126

Abstract

Nigeria, being a developing country and by its limited resources, priority must be placed on deaths due to ill-health-related research. This study aims to investigate the temporal pattern and forecast mortality associated with Alzheimer’s disease and meningitis using ARIMA model techniques. Results showed that the best fitted for the Alzheimer series is the ARIMA (1, 2, 0) model and the best for the meningitis series is the ARIMA(1,1,0) model. The forecasted values revealed that there will be an inconsistent slight decrease in meningitis deaths while there will be an increase in Alzheimer's deaths over the years. For meningitis, the predicted deaths for 2020, 2021, and 2022 respectively, were 45401, 45216, and 45287, and their 95% confidence intervals were obtained. For Alzheimer's, predicted deaths for 2020, 2021, and 2022 respectively, are 12472, 12832, and 13191, and their corresponding 95% confidence intervals were also obtained. Diagnostic checks for the predictive models were carried out and assumptions were sastisfied.
Inference on Cooperative Learning Strategy and Academic Achievement of Physics Students in Girei LGA, Adamawa State Idi, Danjuma; Stephen, Mathew; Michael, Ibrahim
ALSYSTECH Journal of Education Technology Vol 2 No 3 (2024): ALSYSTECH Journal of Education Technology
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsystech.v2i3.3766

Abstract

This study examined the effectiveness of cooperative learning strategy on secondary school students' academic achievement in physics. Guided by two research questions and three hypotheses, the study employed a quasi-experimental design and was conducted with a sample of 60 Senior Secondary School year two (SS2) physics students from Government Senior Secondary School Girei, Adamawa State. The Physics Achievement Test (PAT) was used to collect data, which were then analyzed using descriptive and inferential statistics. The results showed a significant mean score difference of 13.78333 (p < 0.001) favoring the cooperative learning group over the conventional group. Gender differences were significant in the conventional group (t-statistic = -20.696, p < 0.001), with males scoring higher, but not in the cooperative group (t-statistic = -35.658, p = 0.425). Thus, cooperative learning appears to reduce the gender gap in physics achievement. It is recommended that workshops be held to train teachers on effective cooperative learning strategies.
A Study on Alzhemier Disease in Takum, Taraba State, Nigeria: An ARIMA Model Approach Akobi, Clement; Idi, Danjuma; Michael, Ibrahim; Stephen, Mathew
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 1 (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.v3i1.4113

Abstract

Alzheimer’s disease, a progressive neurodegenerative disorder, represents a significant and growing public health burden, particularly as life expectancy increases worldwide. In sub-Saharan Africa, including Nigeria, the disease's prevalence is rising due to aging populations and urbanized lifestyles that elevate risk factors for cognitive decline. This study investigates the trends and projected incidence of Alzheimer’s disease in Takum, Taraba State, Nigeria. The research utilizes patient records from General Hospital Takum, spanning from 2012 to 2021. Following diagnostic tests and data transformations, the ARIMA(1,2,0) model was selected as the best fit for predicting future case counts. The findings reveal a steady increase in Alzheimer’s cases, consistent with global patterns, highlighting the need for proactive measures in healthcare planning. The study thus recommends the need for increased public awareness, investment in diagnostic infrastructure, and support systems for caregivers.
Statistical Estimation and Inference of Board Composition on Financial Performance of Oil and Gas Companies in Nigeria Idi, Danjuma; Stephen, Mathew
Mikailalsys Journal of Mathematics and Statistics Vol 2 No 3 (2024): 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.v2i3.3516

Abstract

This study examines the relationship between board characteristics and financial performance of listed oil and gas firms in Nigeria, highlighting the gap in existing literature on the topic. The purpose of this study is to investigate the impact of board independence, board size, and gender diversity on financial performance. A sample of three listed oil and gas firms on the Nigerian Exchange Group (NGX) was selected, and secondary data from annual financial statements for 2010-2021 were analyzed using panel regression and correlation analysis. The findings reveal that female board members have a positive and significant impact on financial performance, while board independence and board size have a positive but insignificant impact. The study concludes that gender diversity on boards is a key factor in driving financial success, and recommends increasing the number of female board members to improve financial performance. The results contribute to the understanding of the relationship between board characteristics and financial performance in the Nigerian oil and gas industry.
Inference from Modelling FDI and Unemployment Rate in Nigeria David, Ikwuoche John; Idi, Danjuma
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 4 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i4.3444

Abstract

This research investigates foreign direct investment (FDI) impact on the unemployment rate (UPR) in Nigeria by employing an Autoregressive Distributed Lag (ARDL) model. The study made use of data from the period 1985-2021. Initial assessment of the data involved the application of rolling correlation to test the significance of signals between FDI and UPR. Subsequently, the research employs the ARDL bounds test methodology to examine cointegration among FDI and UPR. Additionally, an Error Correction Model (ECM) is utilized to explore the causal relationship between these economic variables in the short run. The Augmented Dickey Fuller unit root test suggests that the variables attain stationarity at first differences (I(1)). The findings indicate that at 5% FDI significantly impacted on UPR in the long run but not in the short run where it was significant at 10%. Also, the selected best fitted model for the sampled period is ARDL(1, 1) but the plot of the cumulative sum squared chart showed that the parameter estimates were unstable for the sampled period. The results suggest more investment in FDI is necessary for reducing Nigeria unemployment rate in the long run and stabilizing it in the short run.
Assessment Of The Utilisation Of Instructional Materials For Teaching Agricultural Science In Senior Secondary Schools In Kaduna State, Nigeria Karim, Oba Abdulkadir; Ahmed, Abdullahi Hussain; Idi, Danjuma
Educational Researcher Journal Vol. 2 No. 2 (2025): Educational Researcher Journal
Publisher : Sekolah Pascasarjana Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71288/educationalresearcherjournal.v2i2.83

Abstract

This research study was carried out to determine the extent of the utilization of instructional materials for teaching agricultural science in senior secondary schools in Kaduna State, Nigeria. The study was guided by two specific objectives, two research questions and one null hypothesis. Descriptive survey research design was used for the study. The population of the study was fifteen thousand (15,000) agricultural science teachers and students. Three hundred and ninety (390) agricultural science teachers and students were sampled using multistage sampling procedure. The data collected were analysed using frequency counts and percentages to answer the research questions. The null hypothesis was tested using regression analysis at 0.05 level of significance. The result of the study affirmed that utilization of instructional materials have significantly affect teaching of agricultural science in senior secondary schools in Kaduna State. Effectiveness of instructional materials, number of learners per class, resourcefulness of teachers were the factors that affect the use of instructional materials. It was recommended that, school authorities, zonal education offices and government in collaboration with Kaduna State ministry of Education should organize and sponsor training and retraining programmes through workshops, seminars for teachers on utilization of instructional materials for teaching agricultural science in schools.
Co-Authors Ahmed, Abdullahi Hussain Akobi, Clement BAMIGBALA, Olateju Alao Dangana, Blessing David, Ikwuoche John Karim, Oba Abdulkadir Mathew, Stephen Michael, Ibrahim Ogunmola, Adeniyi Oyewole Onowuzou, James Oruarooghene Stephem, Mathew Stephen, Mathew Yusuf, Shadrach