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Muhammad Irwan Hadi
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Journal of Multidisciplinary Science: MIKAILALSYS
Published by Lembaga Yasin Alsys
ISSN : 29873924     EISSN : 29872286     DOI : https://doi.org/10.58578/mikailalsys
Core Subject : Science, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Environmental Science Physics Social Sciences Other
Journal of Multidisciplinary Science : MIKAILALSYS [2987-3924 (Print) and 2987-2286 (Online)] is a double blind peer reviewed and open access journal to disseminating all information contributing to the understanding and development of Multidisciplinary Science. Its scope is international in that it welcomes articles from academics, researchers, graduate students and policy makers. The articles published may take the form of original research, theoretical analyses, and critical review. All articles should be in English or Arabic. MIKAILALSYS publishes 3 editions a year in April, August, and December (Unless there is co-publication with conference organizers). MIKAILALSYS journal has been indexed by Harvard University, Boston University, Dimensions, Scilit, Crossref, Web of Science Garuda, Google Scholar, and Base.
Arjuna Subject : Umum - Umum
Articles 157 Documents
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Sustainable Water Management and One Health Abidola, Taiwo Bakare; Folorunso, Abisola Eniola; Akib, Mariam Omonike; Olaoye, Olamide Jelil; Adewale, Adams Oladapo; Etoniru, Sandra; Oladipupo, Abdulhakeem Abdulsalam
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.v3i2.5863

Abstract

This study investigates the linkages between sustainable water management and public health outcomes within the One Health framework in selected rural communities. Using a mixed methods approach, data were obtained through household surveys, key informant interviews, and laboratory testing of water sources. Quantitative results revealed extensive microbial contamination, with Escherichia coli present in 68% of surface water samples and 29% testing positive for Cryptosporidium oocysts. More than 60% of surveyed households reported incidences of diarrhea, and statistical analysis showed a significant correlation between the use of untreated water and disease prevalence. Qualitative findings from stakeholders pointed to systemic challenges, including institutional fragmentation, inadequate sanitation infrastructure, and limited public awareness of zoonotic disease transmission. Notably, familiarity with the One Health approach was low among both local residents and health professionals. The integrated analysis highlights the need for coordinated, cross-sectoral interventions that incorporate infrastructure development, community education, and policy integration. These efforts are essential to mitigate the risks of waterborne diseases and enhance public health resilience in vulnerable settings. The study underscores the importance of the One Health model in addressing complex environmental health threats and advocates for its broader implementation to foster sustainable and equitable health outcomes.
Attitudes of Registered Nurses Towards Nursing Students in Clinical Settings at the University of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria Wayas, Fred Grace; Emmanuel, Allahnanan; Nwakwue, Ndukaku; Wayas, Fred Ernest
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.v3i2.5914

Abstract

Clinical exposure is fundamental to nursing education, offering student nurses critical opportunities for skill acquisition, professional socialization, and practical application of theoretical knowledge. This study examines the attitudes of registered nurses toward nursing students during clinical placements at the University of Calabar Teaching Hospital (UCTH), Calabar, Cross River State, Nigeria. Adopting a descriptive cross-sectional design, data were collected from 240 registered nurses across eight clinical wards using a structured, self-administered questionnaire. Descriptive and inferential statistical analyses were conducted to evaluate attitude patterns and associated influencing factors. The results indicate that a majority of registered nurses exhibited positive attitudes, characterized by a willingness to mentor, supervise, and collaborate with nursing students. However, certain challenges were identified, including perceived increases in workload, student absenteeism, and concerns about student adherence to professional and ethical standards. Key determinants of nurse attitudes included the perceived clinical competence, communication ability, and adherence to professional dress codes among students. The study underscores the need for structured mentorship programs, regular workshops on ethical conduct, and more clearly defined internship frameworks to strengthen the clinical learning environment. Enhancing nurse-student interactions in clinical settings is essential for improving the quality of nursing education and ensuring the readiness of future nursing professionals for practice.
Determination of the Chemical Properties of Some Selected Vegetable Oils Sold in Gombe Main Market, Gombe State, Nigeria Goje, Lazarus Joseph; Muhammad, Muhammad Auwal; Maigari, Fatima Umar; Hammari, Abubakar Muhammad
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.v3i2.6045

Abstract

Vegetable oils are widely utilized as essential lipid sources in food production, necessitating routine evaluation of their nutritional and chemical quality. This study assessed the quality of four commonly consumed edible vegetable oil brands in Gombe, Gombe State: Palm oil (Al-Hilal), Turkey oil, Power oil, and Kings oil. Samples were collected from the Gombe main market and analyzed for saponification value, iodine value, and peroxide value. These parameters were compared against the standards set by the Standard Organization of Nigeria (SON). Turkey oil exhibited the lowest saponification value (192.43 ± 0.51 mg KOH/g), though all oils fell within the SON-recommended range of 185–205 mg KOH/g. The iodine values indicated low levels of unsaturated fatty acids across all samples, with palm oil showing the highest (15.29 ± 0.49 g) and Turkey oil the lowest (6.61 ± 0.63 g). Peroxide values for all samples were well below the 10 meq/kg threshold for rancidity, indicating freshness and stability. Overall, the results demonstrate that all vegetable oil samples met the quality standards set by SON and the Nigerian Industrial Standard (NIS). It is therefore concluded that the oils are unadulterated, of high quality, and safe for public consumption, reflecting proper processing and storage practices.
Some Studies on the Topology of Power Set Morawo, Monsuru A.; Kiltho, Ahmadu; Y., Azeez K.; O., Shobanke E.; O., Okoro N.
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.v3i2.6099

Abstract

This paper investigates the topological structure of the power set of an infinite set XX, focusing on properties such as extreme and total disconnectedness, as well as the hierarchy of separation axioms τ0,τ1,τ2,τ3,τ4,τ5,τ6\tau_0, \tau_1, \tau_2, \tau_3, \tau_4, \tau_5, \tau_6. By defining a topology on the power set, the study explores how classical topological concepts manifest in this context and introduces a novel perspective that bridges the power set with a Universal Topological Space. The analysis contributes to a deeper understanding of how separation properties and disconnectedness behave in non-traditional topological constructions, offering a foundational approach for further exploration in abstract topological frameworks.
Effects of Cefuroxime and Varying Nitrogen Conditions on Growth and Pigment Composition of Chlorella sp. Bebwa, Kalaboms Andrew Bitrus; Elijah, Daniel Biyenta; Dacip, Yerima Doka
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.v3i2.6116

Abstract

This study addresses the limited research on the ecological impacts of cefuroxime on freshwater microalgae, despite the antibiotic’s widespread presence in aquatic environments. Specifically, it investigates the effects of cefuroxime on the growth and pigment composition, measured through cell density, chlorophyll-a, chlorophyll-b, total chlorophyll, and carotenoids of Chlorella sp. under nitrogen-replete and nitrogen-limited conditions. A quantitative experimental design was applied, comprising five treatment groups cultured in triplicate. Data collection involved microscopic cell counts and spectrophotometric analysis, while growth and pigment dynamics were assessed using specific growth rate equations and pigment concentration formulas. Statistical analyses included the Shapiro-Wilk test, Levene’s test, repeated measures ANOVA, and Duncan’s Multiple Range Test (p ≤ 0.05). Results indicated that cefuroxime initially stimulated growth and pigment production under nitrogen-replete conditions but led to significant inhibition over time. Conversely, the control group demonstrated the most stable growth and pigment accumulation by day seven. These outcomes challenge the notion that low-dose antibiotics are ecologically benign and underscore the critical role of nitrogen availability in modulating antibiotic effects. The study concludes that cefuroxime exerts time- and nutrient-dependent impacts on Chlorella sp., advancing ecotoxicological theory by elucidating the interactive effects of nutrient stress and pharmaceutical contamination. Practical implications highlight the necessity for stricter regulation of pharmaceutical effluents and improved nutrient management in aquatic systems. Future investigations are recommended to explore the combined effects of multiple antibiotics under varied nutrient regimes.
Ensemble-Based Model for Predicting Maternal Health Risk in Southwest Nigeria Olutola, Agbelusi
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.v3i2.6150

Abstract

Maternal mortality remains a critical public health concern, particularly in Nigeria, which continues to report one of the highest maternal death rates globally. This study proposes an innovative approach for predicting maternal health risks by integrating primary clinical data with a rule-based classification system and ensemble machine learning techniques. A dataset of 148 records was obtained from Ondo State University Teaching Hospital, encompassing key maternal health indicators. Given the lack of predefined class labels, a rule-based labeling framework adapted from a publicly available Kaggle dataset was applied. The data underwent preprocessing, including imputation for missing values and balancing using the Synthetic Minority Over-sampling Technique (SMOTE). Three ensemble machine learning models Voting, Stacking, and Bagging were developed and evaluated based on accuracy, precision, recall, and F1-score. Results showed that SMOTE markedly enhanced classification performance, with the Stacking ensemble achieving the highest accuracy (94.6%) and precision (97.1%). These outcomes highlight the potential of machine learning to enable early detection of maternal health risks and support improved decision-making in clinical settings.
Some Studies on the Topology of Power Set Morawo, Monsuru A; Kiltho, Ahmadu; Y, Azeez, K.; O, Shobanke, E.; O, Okoro N.
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.v3i2.6328

Abstract

This paper examines the topological structure of the power set of an infinite set X, with a focus on properties such as extreme and total disconnectedness, as well as the hierarchy of separation axioms T₀, T₁, T₂, T₃, T₄, T₅, and T₆. By defining a topology τ on the power set ????(X), the study explores the manifestation of classical topological properties within this framework. The investigation introduces a novel approach that connects ????(X) to a universal topological space, providing new insights into the behavior of separation axioms and disconnectedness in non-standard topological constructions. The results offer a foundational perspective for further study in abstract and generalized topology, particularly in contexts where conventional space constructions do not apply.
Estimation of Hypertension Prevalence Among Diabetic Patients with Respect to Certain Covariates Ogunmola, Adeniyi Oyewole; Uhembe, Solomon
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.v3i2.6365

Abstract

This study investigates the risk factors associated with the prevalence of hypertension among diabetic patients in Jalingo, Taraba State, Nigeria, using logistic regression analysis. The results indicate a significantly high prevalence rate of hypertension among diabetic individuals, estimated at approximately 89.8%, with a 95% confidence interval ranging from 86.3% to 93.3%. The odds of a diabetic patient developing hypertension are about 8.8 times higher than not developing it. Logistic regression analysis identified systolic blood pressure and a family history of diabetes as significant predictors of hypertension. Specifically, a one-unit increase in systolic blood pressure corresponds to a 9.14% increase in the odds of being hypertensive, with the 95% confidence interval for the true odds ratio ranging from 5.59% to 12.82%. Additionally, diabetic patients with a family history of diabetes exhibit a 296.81% higher likelihood of developing hypertension compared to those without such a history, with the confidence interval for this odds ratio spanning from 7.65% to 1362.73%. These findings highlight the importance of monitoring systolic blood pressure and family history as key covariates in predicting hypertension risk among diabetic populations. Overall, the binary logistic regression model demonstrates robust predictive power for identifying hypertensive risk among diabetic patients based on these factors.
Comparing Univariate Time Series Forecast Methods for Malaria Fever Cases Ogunmola, Adeniyi Oyewole; Jibo, Yunusa Namale
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.v3i2.6366

Abstract

This study evaluates the forecasting accuracy of three univariate time series models, Decomposition, Holt-Winter’s, and Seasonal Autoregressive Integrated Moving Average (SARIMA) for predicting monthly malaria fever cases from January 2008 to December 2024. Data were obtained from the Federal Medical Centre, Jalingo, and analyzed using the three models. Forecasting performance was assessed using Root Mean Square Error (RMSE) as the primary evaluation metric. Among the models, the SARIMA (0, 0, 1) × (1, 1, 2) demonstrated the lowest RMSE, indicating superior forecasting accuracy over the Decomposition and Holt-Winter’s methods. Seasonal trend analysis revealed that malaria fever cases tend to be higher from April to August, with June showing the highest seasonal index representing a 92% increase over the annual average. These findings highlight the SARIMA model’s effectiveness in capturing the seasonal patterns of malaria incidence and its utility for public health planning and intervention.
The Evolution of Mosque Architecture and the Distinctive Characteristics of Its Structural Elements Tribak, Mohamed; Klaina, Mekki
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.v3i2.6496

Abstract

This study examines the evolution of mosque architecture within Islamic civilization by analyzing its structural components, functional roles, and symbolic significance. It highlights the mosque not only as a sacred space for worship but also as a central institution in the social and urban fabric of Islamic society. Despite undergoing architectural transformations across centuries, the mosque has retained its spiritual essence and distinctive identity. Through a descriptive and comparative approach, the study investigates defining architectural elements, including domes, minarets, miḥrābs, minbars, and ornamental motifs using selected examples from the Islamic East, the Maghrib, and al-Andalus. Central to the inquiry is how mosque architecture has maintained its foundation in Islamic religious principles while engaging with diverse cultural and artistic traditions. The findings suggest that mosque architecture embodies a dynamic and adaptive tradition: deeply rooted in Islamic values yet responsive to historical change and regional context. This reflects the broader character of Islamic civilization, open to external influences without relinquishing its unique identity.

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