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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 236 Documents
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Implementation of Energy Dispersive X-ray Fluorescence (EDXRF): Its Principle, Advantages, and Drawbacks Fasiku, Taiwo Bukola; Oluwasusi, Taiwo Victoria
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 3 (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.v3i3.7949

Abstract

Energy Dispersive X-ray Fluorescence (EDXRF) is a widely used technique for the chemical characterisation of materials in different forms, including powders, liquids, and gases, owing to its rapid and non-destructive determination of elemental composition. This review aims to describe the underlying principle of EDXRF and to synthesise its applications, advantages, and limitations across various domains. Drawing on reported uses of EDXRF in archaeology, metallurgy, environmental science, and the food and pharmaceutical industries, the study highlights how both portable and desktop instruments have enabled efficient routine analysis and quality control. In particular, EDXRF has been instrumental in identifying gaps in production processes, especially in food and drug quality control, which in some cases, has led to the withdrawal of non-compliant products from the distribution chain. At the same time, the review underscores key limitations observed in practice, including poor detection of light elements, the impact of moisture, high background noise, spectral interference, and particle-size effects. EDXRF nonetheless offers important advantages such as minimal sample preparation, non-destructive analysis, cost-effectiveness, and operational simplicity. The review concludes that, despite these limitations, EDXRF remains a powerful tool for multi-sectoral chemical characterisation and quality control, and it recommends further development of monochromatic EDXRF configurations to reduce spectral interference, improve detection limits, and enhance analytical accuracy, thereby strengthening its role in regulatory and industrial applications.
The Role of Indigenous Taboos and Superstitions in the Conservation of Fisheries Resources in Nigeria: A Review Love, Reuben Laraba; Mohammed, Mohammed Abubakar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 3 (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.v3i3.7994

Abstract

This study investigates the role of indigenous taboos and superstitions in the conservation of fisheries resources in Nigeria's diverse aquatic habitats, which are now threatened by pollution, climate change, and overfishing. The study explores the lack of use of dwelling communities’ ecological knowledge, including various fish-related taboos, examining what they mean in practice, why they exist, and the problems they encounter today. Through a qualitative literature review and case study analysis, the research reveals that indigenous taboos, categorized as species-specific, habitat-related, spatial, and methodological, significantly support fish stock preservation, habitat conservation, and ecological integrity. These taboos include no-fishing zones and seasonal restrictions. However, traditional systems face several challenges due to the weakening of traditional institutions, religious changes, economic pressures, and external influences. To be more effective, fishery management systems should be integrated with cultural conservation training and scientific testing of local practices to enhance the sustainability of Nigeria's fishery resources.
A Comparative Analysis of Microbial Load and Diversity in Fresh and Smoked Catfish (Clarias gariepinus) from Selected Markets in Delta State, Nigeria Uche, Odozie Esther; C.S.O, Otoikhian; B.O, Bosah; D.S, Elkanah
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 1 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i1.8092

Abstract

This study evaluated the microbiological quality and safety of fresh and smoked catfish (Clarias gariepinus) obtained from five markets (Amai, Umutu, Abbey, Obiaruku, Kwale) in Delta State, Nigeria, during both rainy and dry seasons. A total of 50 samples were analyzed for total aerobic plate count, coliform count, and specific microbial isolates using standard microbiological and biochemical methods, and the results were benchmarked against Standards Organization of Nigeria (SON) guidelines. The findings showed that the microbial quality of fresh fish was variable, with gill samples from Amai and Obiaruku in the rainy season exhibiting marginal levels of contamination (10³ CFU/g), whereas all smoked fish samples, irrespective of market or season, had satisfactory and significantly lower microbial loads (10¹–10² CFU/g), confirming the effectiveness of smoking as a preservation technique. Bacteriological analysis of fresh fish identified potential pathogens, including Staphylococcus aureus, Escherichia coli, Salmonella sp., and Klebsiella sp., while mycological assessment revealed the presence of Aspergillus fumigatus, Aspergillus niger, Mucor, and Fusarium species. The study concludes that, although smoking markedly improves the microbiological safety of catfish, the initially high contamination levels in fresh fish, especially the occurrence of pathogenic bacteria and potentially mycotoxigenic fungi—pose a significant public health risk and indicate critical points of post-harvest contamination within the supply chain that require targeted control measures.
A Hybrid Elzaki Transform-Daftardar-Jafari Method for Solving Nonlinear Proportional Delay Differential Equations L. N., Sanda; J. O., Okai; U.M., Nasir; Mujahid, U. A.; Cornelius, Michael; G.S., Ndam
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 1 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i1.8106

Abstract

Proportional delay differential equations (PDDEs) arise naturally in viscoelasticity, control theory, biology, population dynamics, and fractional-order physical models in which the future state depends on the value of the solution at a proportion of the current time, but their nonlinear nature and delay terms make analytic treatment challenging. This study develops a hybrid computational scheme that combines the Elzaki Transform (ET) and the Daftardar–Jafari Method (DJM) to obtain accurate analytical–approximate solutions for linear and nonlinear PDDEs. In the proposed approach, the Elzaki transform converts the PDDE into an algebraic functional equation, which is subsequently decomposed using DJM without the need for Adomian polynomials. The method is straightforward, computationally efficient, and capable of handling strong nonlinearities. Several illustrative examples are presented to demonstrate its efficiency, and the results confirm that the ET–DJM hybrid provides a powerful alternative to classical methods such as the Laplace transform, Adomian Decomposition Method (ADM), Variational Iteration Method (VIM), Homotopy Perturbation Method (HPM), and homotopy analysis methods.
Applications of Microbial Enzymes in Industries Fasiku, Samuel Adedayo; Afolabi, Femi Johnson; Egbeleke, Tawakalit Adeola; Fashogbon, Racheal Oluwayemisi
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 1 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i1.8137

Abstract

Microbial enzymes, produced by microorganisms such as bacteria, fungi, and algae, have emerged as indispensable biocatalysts across multiple industrial sectors due to their efficiency, versatility, and activity under diverse environmental conditions. This review aims to highlight the major industrial applications of microbial enzymes and synthesize evidence on their functional roles in contemporary bioprocesses. More than 80 published articles, textbooks, and newsletters were retrieved from reputable platforms, of which approximately 50 were selected for detailed analysis based on relevance and quality. The reviewed literature shows that enzymes now play critical roles in everyday life, with broad applications in medicine, pharmacy, environmental remediation, food processing, detergent manufacture, and energy production. In the detergent industry, amylases, lipases, and proteases are used to break down starch, fats, oils, and proteins, thereby enhancing washing efficiency. In the food sector, microbial enzymes support milk hydrolysis in cheese production, contributing to characteristic flavour development, and are widely employed in fruit juice clarification. In the energy sector, cellulases, xylanases, and lignin-degrading enzymes enable the breakdown of lignocellulosic substrates to release reducing sugars for biofuel production. Medically, L-asparaginase has been used in the treatment of leukaemia, while laccases are applied in the degradation of dyes and the reduction of chemical waste in environmental applications. The diversity of microbial sources allows these enzymes to function under extreme conditions, expanding their usability across varied industrial environments. Overall, the review concludes that microbial enzymes have extensive and growing industrial relevance, underscoring the need for continued research and development to optimize their production, stability, and application in sustainable biotechnological processes.
The Effect of the Double Loop Problem Solving (DLPS) Learning Model on the Mathematics Learning Outcomes of Class VIII Students of SMP N 2 Tilatang Kamang Riska, Riska; Ramdhani, Vivi; Imamuddin, M.; Risnawita, Risnawita
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 2 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i2.9927

Abstract

This study is motivated by the results of analysis and observation of the Daily Mathematics Test in eighth-grade classes at SMP N 2 Tilatang Kamang, which showed low students’ mathematics learning outcomes and teacher-centered instruction. One alternative strategy to address this issue is the implementation of the Double Loop Problem Solving (DLPS) learning model. This study aims to examine the effect of the DLPS learning model on the mathematics learning outcomes of eighth-grade students at SMP N 2 Tilatang Kamang. A pre-experimental design with a Static Group Comparison Design was employed. The population consisted of all eighth-grade students at SMP N 2 Tilatang Kamang, comprising four classes with a total of 101 students. Sampling was conducted randomly after normality, homogeneity, and mean equivalence tests were performed on the population data. Class VIII.2 was assigned as the experimental group, while Class VIII.1 served as the control group. The research instrument was a posttest designed to measure students’ mathematics learning outcomes. Data were analyzed using a t-test. The findings show that the t-count value was 3.696, while the t-table value was 1.67. Since the t-count exceeded the t-table, H₀ was rejected and H₁ was accepted. The SPSS analysis also produced a p-value of 0.01, indicating a statistically significant difference in mathematics learning outcomes between the experimental and control groups. These results demonstrate that the DLPS learning model has a significant effect on students’ mathematics learning outcomes. The study contributes to mathematics education by providing empirical evidence that problem-solving-oriented learning can improve students’ achievement and reduce reliance on teacher-centered instruction.
The Influence of Student Creativity, Instructional Media, Teaching Style, Family Environment, and Study Hours on the Learning Outcomes of 12th-Grade Students in Home Economics at SMKN 1 Simpang Alahan Mati Nurlatifah, Nurlatifah; Jolianis, Jolianis; Dahen, Lovelly Dwinda
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 2 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i2.9934

Abstract

This study is motivated by the relatively low learning outcomes of eleventh-grade students in the PKK subject at SMK Negeri 1 Simpang Alahan Mati, which are presumed to be influenced by internal and external factors, including student creativity, instructional media, teaching style, family environment, and study time. This study aims to examine the partial and simultaneous effects of these variables on students’ learning outcomes. A quantitative approach with an associative-causal design was employed. The population comprised 105 students, and the sample was selected using proportional random sampling. Data were collected through questionnaires, documentation, and observation, and analyzed using multiple linear regression with the assistance of statistical software. The findings indicate that student creativity, instructional media, teaching style, family environment, and study time each have a significant partial effect on learning outcomes. Simultaneously, all independent variables significantly influence learning outcomes and provide a substantial contribution to the dependent variable. These findings demonstrate that improving students’ learning outcomes requires the integrated optimization of both internal and external learning factors. The study contributes to educational practice by emphasizing the importance of creative teaching strategies, adequate instructional media, supportive family environments, and effective study-time management in strengthening students’ academic performance.
The Influence of Digital Literacy and Reading Interest on Students’ Critical Thinking Skills at SMAN 4 Bukittinggi Rozi, Herman Novia; Arif, Arif
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 2 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i2.9935

Abstract

This study addresses the low level of students’ critical thinking skills in increasingly complex digital learning environments. It aims to examine the effects of digital literacy and reading interest on students’ critical thinking skills. A quantitative approach with a correlational research design was employed. The participants were students of SMAN 4 Bukittinggi, selected through proportional random sampling. Data were collected using validated questionnaires measuring digital literacy, reading interest, and critical thinking skills. The data were analyzed using descriptive statistics and multiple regression analysis, including the F-test and coefficient of determination. The findings reveal that digital literacy has a significant effect on students’ critical thinking skills (F = 79.405; p < 0.05), and reading interest also significantly influences students’ critical thinking skills (F = 3.244; p < 0.05). Furthermore, digital literacy and reading interest simultaneously have a significant effect on critical thinking skills (F = 64.425; p < 0.05). The Adjusted R Square value of 0.646 indicates that 64.6% of the variance in students’ critical thinking skills is explained by digital literacy and reading interest. These findings demonstrate that both digital literacy and reading interest play an important role in strengthening students’ higher-order thinking skills. The study contributes to educational practice by highlighting the need to integrate digital literacy development and reading-habit cultivation into learning activities to enhance students’ critical thinking skills in the digital era.
The Relationship between Digital Literacy and Communication Ethics among Generation Z on Social Media Safitri, Dellia; Desriyeni, Desriyeni
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 2 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i2.9938

Abstract

The rapid advancement of digital technology and the intensive use of social media among Generation Z have raised significant concerns regarding digital communication ethics. Although digital literacy is considered an important factor in shaping ethical communication behavior, empirical studies examining this relationship, particularly among university students, remain limited. This study aims to determine the level of digital literacy, the level of communication ethics, and the relationship between digital literacy and communication ethics among Generation Z social media users at the Faculty of Languages and Arts, Universitas Negeri Padang. A quantitative approach with a correlational design was employed. The sample consisted of 98 respondents selected through stratified random sampling. Data were collected using questionnaires and analyzed using descriptive statistics and Spearman correlation tests. The findings indicate that both digital literacy and communication ethics are categorized as good, and that a strong correlation exists between digital literacy and communication ethics among Generation Z social media users. This suggests that higher levels of digital literacy are associated with better ethical communication in digital interactions. The study concludes that digital literacy plays an important role in supporting ethical social media communication. Its contribution lies in emphasizing the need to strengthen digital literacy programs integrated with communication ethics development in educational settings to promote more responsible digital behavior.
The Political Cognition of Young Entrepreneurs Defaky, Brenda Putri; Adri, Zakwan
Journal of Multidisciplinary Science: MIKAILALSYS Vol 4 No 2 (2026): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v4i2.9949

Abstract

This study is motivated by the increasing involvement of youth in entrepreneurship and politics, reflecting a complex relationship between economic agency and political participation. However, research specifically examining youth political cognition within entrepreneurial contexts, particularly after experiences of political failure, remains limited. This study aims to analyze how youth political cognition is formed in entrepreneurial contexts, identify the factors influencing youth engagement in entrepreneurship and politics, and explore how young individuals interpret the relationship between these domains. A qualitative approach with a phenomenological design was employed to examine lived experience. The research participant was a young entrepreneur with prior political involvement, selected through purposive sampling. Data were collected through in-depth interviews, observation, and documentation, and analyzed using the Miles and Huberman model, comprising data condensation, data display, and conclusion drawing. The findings reveal that youth political cognition is constructed through an integrated process involving perception, memory, information processing, thinking, problem-solving, and metacognition. Politics is interpreted as both an opportunity and a risk within entrepreneurial activity, while past political experience serves as a basis for decision-making supported by critical and adaptive thinking. The study also finds that political involvement influences business dynamics, generating both positive and negative impacts. The study concludes that political cognition plays a significant role in shaping young entrepreneurs’ capacity to adapt, make strategic decisions, and develop entrepreneurial ventures within complex socio-political environments. Its contribution lies in integrating political cognition and entrepreneurship perspectives while offering practical insights for youth and policymakers in developing adaptive strategies and supportive policy frameworks.

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