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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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Determinant Factors in Improving the Quality of E-Government-Based Health Public Services at Syech Yusuf Hospital, Gowa Regency Djamaluddin, Musdalifah; Akib, Haedar; Anshari, Anshari
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.4473

Abstract

Health services are one of the important aspects of public services that aim to improve the welfare of the community. This research focuses on the quality of e-government-based health services at RSUD Sheikh Yusuf Gowa Regency, which has implemented information technology innovations such as SIMRS and Mobile JKN applications. Despite efforts to improve efficiency and public satisfaction, various obstacles remain, such as limited human resources, infrastructure, information systems, and suboptimal coordination between units. Using a descriptive qualitative approach, this study explores the determinants that affect service delivery, both enabling factors such as the competence of medical personnel, adequate facilities and infrastructure, and information technology, as well as inhibiting factors such as complicated bureaucracy, lack of digital literacy, and limited employee motivation. The results indicate the need for comprehensive improvements, including strengthening the capacity of human resources, simplifying procedures, improving facilities, and optimizing technology to improve the quality of health services. The findings are expected to serve as a basis for RSUD Sheikh Yusuf in providing better quality, efficient services that meet the expectations of the community.
A Novel Clustering-Based Scheme for Wildfire Monitoring in Flying Ad Hoc Networks Visa, Samson Bitrus; Sunday, Caleb Gasin; Abdulkadir, Abubakar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.4512

Abstract

This study addresses energy consumption limitations and network overhead in cluster formation within Flying Ad Hoc Networks (FANETs), a type of Wireless Sensor Network (WSN) commonly used for wildfire monitoring. FANETs consist of mobile nodes, represented by Unmanned Aerial Vehicles (UAVs), communicating in a self-organized manner, with clustering playing a crucial role in improving scalability and resource management. This work proposes an Energy Efficient Wildfire Monitoring Scheme (EEWMS) to optimize Cluster Head (CH) selection and reduce the energy costs of cluster formation. The scheme incorporates node remaining energy, trust level, energy consumption, base station proximity, mobility, and CH coverage into a fitness function for intelligent CH selection. EEWMS was validated through simulations in the MATLAB environment, comparing its performance against existing techniques, specifically EE-SS, using metrics including energy consumption, network lifespan, and cluster formation time. The results demonstrate that EEWMS significantly enhances FANET performance, reducing cluster building time by 10.16%, increasing cluster lifetime by 6.96% and improving energy efficiency by 10.25%. These improvements underscore EEWMS's effectiveness in enhancing real-time wildfire monitoring by improving network responsiveness, extending operational periods, and ensuring reliable data transmission. The findings provide a robust solution to energy and scalability challenges, making FANETs more efficient and reliable for emergency response applications.
Evaluating Handover Processes in Mobile Networks: Effects on Latency, QoS, and User Experience Across Conditions Abdurrahman, Mubarak; Gamawa, Mansur Aliyu; Abdulkadir, Abubakar; M, Bala A.; Hamza, Jamilu Bala; Ahmed, Abubakar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.4631

Abstract

The rapid expansion of mobile networks has revolutionized global communication, enabling seamless connectivity for a growing user base. As networks evolve, efficient handover processes—where mobile devices transition between network cells or base stations—are critical to maintaining uninterrupted service. Poorly optimized handovers can result in increased latency, degraded Quality of Service (QoS), and diminished user experience, especially in advanced networks like 5G that demand low latency and high reliability. This study examines the impact of handover processes on key performance metrics such as latency, QoS, and user satisfaction, analyzing their behavior across urban, rural, and heterogeneous technological environments. In densely populated urban areas, frequent handovers risk creating performance bottlenecks, while rural areas face challenges related to sparse infrastructure. Heterogeneous environments, where legacy and next-generation technologies coexist, further complicate efficient transitions. By identifying these challenges, the study proposes strategies to optimize handover efficiency, ensuring seamless connectivity, enhanced QoS, and reduced latency in advanced networks. These findings contribute to improving mobile communication systems, addressing the dynamic demands of 5G and beyond in diverse operational scenarios.
Buterfly Species Diversity and Abundance in Taraba State College of Agricultural Science and Technology, Jalingo Taraba State, Nigeria Garkida, David Musa; David, Delphine Leila; Emmanuel, Allahnanan; Danjuma, Tsintop Bishi; Fred, Ernest Wayas
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.4776

Abstract

Butterflies are in the order Lepidoptera, which are insect with scaled wings. Over 28,000 species of butterflies exist in the world today contributing to one-quarter of all named species on the earth. Lepidoptera is important to man and the health of the environment. Butterflies play a significant role in the pollination of crops and as aesthetics. The study assessed the diversity and abundance of butterfly species in the Taraba State College of Agricultural Science and Technology, Jalingo, Nigeria. Line transects were used to survey two study sites within the School using handheld sweep nets in January to March, 2024. Data were analyzed using descriptive statistics. A total of 1,153 individuals representing 21 butterfly species belonging to 3 families were recorded across the two study sites. Out of these, members belonging to the family Lyceanidae were the most csommon with 6 species being recorded accounting for 46.2% of the total species and 93.2% of total number of individuals collected in engineering complex while members belonging to the family Nymphalidae were the most common with 10 species being recorded accounting for 52.6% of the total species and low in the total number of individuals with 37.8% collected in staff quarters. Species richness, evenness and diversity varied from study sites to sites (R= 2.7014 – 2.0293), (e= 0.6691 – 0.6317), (H1= 1.9700 – 1.6203). It was recommended that management effort towards conservation be put in place so as to ensure sustenance of butterflies and ecosystem services derived from them, and further exploration of butterfly species be done to update this checklist.
Chemical Constituents and Bioactivities of Azanza garckeana: A Review Titus, Stephen Dio; Christian, Nelson; Samuel, Kennedy B.; Ishaya, Samuel G.; Francis, Achilus; Leyoa, Ajiduku Abershi
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.4911

Abstract

Azanza garckeana, commonly known as "Goron Tula," is a medicinal plant widely recognized in Southern Africa for its traditional applications in treating infertility, respiratory issues, and liver disorders. Recent studies have explored its bioactive compounds, revealing significant therapeutic potentials, such as antiplasmodial, antioxidant, anti-inflammatory, and uterotonic effects. Key phytochemicals like flavonoids, tannins, and alkaloids have been identified, contributing to its diverse pharmacological activities. This review compiles current knowledge on the chemical constituents and bioactivities of Azanza garckeana, providing a foundation for future research on its medicinal and nutritional applications. The plant's role in enhancing health, with potential uses in modern medicine, is also highlighted.
Women Empowerment and the Role of Gender Equality toward Development in Nigeria Uwais, Idrees Abdullahi; Maidala, Aliyu Ahmad; Adamu, Sanusi
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.4942

Abstract

The aim of this paper is to uncover the role of Women Empowerment and the Role of Gender Equality toward development in Nigeria. To achieve this purpose, qualitative methodology is employed and secondary sources of data were used as instruments of data collection. Based on the data analyzed, findings of the study show that the use of a women's labor force in the economic development of the country is minimal and the role of women across different dimensions is less reflected in the country. The political economic and social sphere of the country is large, reserved for men and few women. The place of women in society is also relegated to contributing minimally to the social development of the country. In addition to that, women's rights are not properly being protected in order for women to participate in various issues of their country but are subjected to violations. Moreover, women are highly affected by societal problems and less emphasis is given to their participation in protecting the environment. In a nutshell, women are empowered and gender equality is achieved so that women can play their role in economic, social, political, and environmental areas and the country cannot achieve development with the recognition of one gender to participation in all areas. The fact that women constitute one quarter the entire population of the country makes empowering them to be an active part of all development, initiatives in the country a compelling the challenges. Therefore, this paper calls for the strong commitment of the government to empower women and utilize all the potentials of the country to bring about development.
The Influence of Fruiting Plants on the Distribution of Tantalus Monkey (Chlorocebus tantalus tantalus) of Ngel Nyaki Forest Reserve, Taraba State, Nigeria David, Delphine Leila; James, Fred; Garkida, David Musa; J, Julius Yani
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.5037

Abstract

This study investigates the influence of fruiting plants on the distribution of Tantalus monkeys (Chlorocebus tantalus tantalus) in the Ngel Nyaki Forest Reserve, Taraba State, Nigeria. The research aims to determine the diversity, abundance, and distribution of fruiting tree species and their relationship with the spatial patterns of Tantalus monkeys across different habitat types. Data were collected over an eight-month period, covering both dry and wet seasons, using direct field observations and ecological survey methods to assess the availability of fruiting trees, primate feeding preferences, and monkey distribution. Results indicate that the presence and abundance of specific fruiting species significantly affect the distribution patterns of Tantalus monkeys, with seasonal fluctuations in fruit availability influencing primate movement and habitat utilization. This study highlights the critical role of fruiting plants in primate ecology and underscores the importance of conserving fruit-bearing tree species to support sustainable primate populations. The findings provide valuable insights for biodiversity conservation efforts and management strategies in montane forest ecosystems.
Recent Advances in Lipid Metabolism and Regulations: A Review Titus, Stephen Dio; Emmanuel, Allahnanan; Stephen, Ezeonu Chukwuma; Tatah, Silas Verwiyeh; Arowora, Kayode Adebisi
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.5044

Abstract

Lipid metabolism is a highly intricate and tightly regulated process essential for cellular function, energy homeostasis, and metabolic balance. It encompasses lipid synthesis (lipogenesis), storage, breakdown (lipolysis and β-oxidation), and transport, all of which are orchestrated by complex regulatory networks involving enzymes, transcription factors, hormones, and environmental influences. Dysregulation of lipid metabolism is implicated in various metabolic disorders, including obesity, diabetes, cardiovascular disease, and metabolic syndrome. Recent advances in lipidomics, molecular biology, and metabolic engineering have significantly expanded our understanding of lipid metabolism, revealing novel regulatory mechanisms and therapeutic targets. The discovery of non-coding RNAs (e.g., microRNAs and long non-coding RNAs) as modulators of lipid homeostasis has provided new insights into gene regulation, while research on gut microbiome interactions has highlighted the role of microbial metabolites in lipid metabolism. Key metabolic pathways, such as fatty acid synthesis, triglyceride metabolism, cholesterol biosynthesis, and ketogenesis, are controlled by pivotal regulatory elements, including peroxisome proliferator-activated receptors (PPARs), sterol regulatory element-binding proteins (SREBPs), and AMP-activated protein kinase (AMPK). Additionally, cholesterol biosynthesis, transport, and excretion are modulated through intricate feedback mechanisms involving the liver, lipoproteins, and sterol regulatory networks. This review explores the latest advancements in lipid metabolism, including lipidomics applications, regulatory mechanisms, and emerging therapeutic strategies for metabolic disorders. A deeper understanding of lipid metabolic pathways and their regulation will pave the way for novel precision medicine approaches in managing lipid-related diseases and optimizing metabolic health.
Assessment of Fish Species Composition and Abundance at Selected Landing Sites Along the Upper Benue River Basin in Taraba State, Nigeria David, Delphine Leila; Godwin, Chinyere Ojiofor; Garkida, David Musa; Emmanuel, Allahnanan
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.5052

Abstract

This study assesses fish species composition and abundance at selected landing sites along the Upper Benue River Basin in Taraba State, Nigeria. Fish sampling was conducted monthly over six months (February to August 2022) at Mayo-Renewo and Lau landing sites using various fishing methods, including traps, gillnets, and hook and line. A total of 6,519 fish specimens from 26 species and 22 families were recorded. The dominant species were Tilapia galilaeus, Distichodus rostratus, and Alestes macroplepidotus in Mayo-Renewo, while Clarias gariepinus, Heterotis niloticus, and Alestes macroplepidotus were most abundant in Lau. The Shannon-Weiner Diversity Index indicated moderate species diversity, with values of -3.20703 at Mayo-Renewo and -3.28523 at Lau. Length-weight relationships showed positive allometric growth in most species, with a mean condition factor (K) above 1, indicating a favorable aquatic environment. Physicochemical analyses revealed variations in temperature (21.46–24.58°C), dissolved oxygen (6.1–8.4 mg/L), pH (8.22–8.62), electrical conductivity (340–840 µS/cm), total dissolved solids (170–556 mg/L), and turbidity (192–320 NTU). Statistical analysis (ANOVA) confirmed significant seasonal differences in these parameters (p < 0.05). The findings highlight the ecological health of the river and the importance of continuous monitoring to sustain fish biodiversity and productivity.
Bayesian Approach of Modified Half - Cauchy Chen Distribution Sah Telee, Lal Babu; Chaudhary, Arun Kumar; Karki, Murari
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (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.v3i1.5124

Abstract

In this article, we explore a Bayesian framework for parameter estimation and model evaluation using a specific probability model, referred to as the MHCC Distribution. The model defines the likelihood of observed data through parameters α, β, and θ. We employ both Gibbs sampling and Stan, a state-of-the-art platform for Bayesian statistical modeling, to estimate the parameters of the model. A key focus is on validating the model through posterior predictive checks. Our analysis also includes a detailed evaluation of model diagnostics, including trace plots, autocorrelation plots, and Gelman-Rubin convergence diagnostics. The goal of this work is to provide a comprehensive approach to model fitting, diagnostics, and validation in Bayesian inference.

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