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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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Strategy for Preserving Rare Collections Using the Preservation Pyramid Theory at the UPT Bung Hatta Proclamator Library Nisa, Nisa; 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.v4i2.9950

Abstract

This study is motivated by the high vulnerability of rare collections to physical, chemical, and biological deterioration, particularly in tropical environments with limited environmental control. Despite their substantial historical and cultural value, preservation strategies in specialized libraries remain insufficiently integrated and optimized. This study aims to analyze rare collection preservation strategies at the UPT Bung Hatta Proclamator Library based on the Preservation Pyramid Theory and to identify the supporting and inhibiting factors affecting their implementation. A qualitative approach with a case study design was employed. Six informants were purposively selected, comprising the head of preservation, preservation team members, a conservator, librarians, and a user. Data were collected through observation, in-depth interviews, and documentation, and analyzed using the interactive model of Miles, Huberman, and Saldaña. The findings reveal that preservation strategies have been implemented across four levels: preventive conservation, passive conservation, active conservation, and restoration, with preventive conservation as the dominant strategy. These efforts include environmental control using dehumidifiers, silica gel, and thermohygrometers, as well as restricted access policies. However, several limitations remain, including budget constraints, suboptimal storage facilities, and inconsistent documentation practices. Active conservation and restoration have been relatively well implemented with support from trained conservators, although technical constraints persist. The study concludes that rare collection preservation at the UPT Bung Hatta Proclamator Library has been implemented but is not yet fully integrated across strategic and operational levels. Its contribution lies in demonstrating the relevance of the Preservation Pyramid Theory for evaluating rare collection management in specialized libraries and emphasizing the need for stronger institutional policies, preservation-standard facilities, and enhanced human resource capacity to ensure sustainable rare collection preservation.
The Relationship between Work Engagement and Eudaimonic Workplace Well-Being among Nurses at RSUD Pasaman Barat JD, Vinnatha Syella.; Nio, Suci Rahma
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.v4i2.9960

Abstract

Work engagement and eudaimonic workplace well-being are increasingly important in the health-care sector, where nurses are required to deliver continuous, professional, and emotionally demanding services. Although previous studies have widely examined work engagement, burnout, job satisfaction, and general workplace well-being among nurses, research specifically addressing the relationship between work engagement and eudaimonic workplace well-being in regional public hospitals in Indonesia remains limited. This study aims to analyze the relationship between work engagement and eudaimonic workplace well-being among nurses at RSUD Pasaman Barat. A quantitative correlational design was employed, involving 172 nurses selected through purposive sampling. Data were collected using the Eudaimonic Workplace Well-Being Scale and the Utrecht Work Engagement Scale-9 and were analyzed using Pearson Product Moment correlation and simple regression with IBM SPSS for Windows. The findings indicate a positive and significant relationship between work engagement and eudaimonic workplace well-being, with a correlation coefficient of 0.487 and a significance value of 0.000. Regression analysis further showed that work engagement contributed 23.7% to eudaimonic workplace well-being. These findings contribute to the theoretical development of work engagement and eudaimonic workplace well-being within organizational psychology and nursing management. The study concludes that work engagement plays an important role in strengthening nurses’ meaningful psychological well-being at work. Practically, hospital management is encouraged to create a supportive work environment through stronger social support, professional development, recognition, and healthy workload management.
The Effect of Library Facility Modernization on the Educational Function at Universitas Negeri Padang Library Rahmadini, Indah Putri; Rahmah, Elva
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.v4i2.9969

Abstract

Although academic libraries have modernized their physical infrastructure and technological systems, the extent to which these improvements optimize their educational function in the digital era remains insufficiently examined. This study aims to analyze the influence of library facility modernization on the educational function of the library at Universitas Negeri Padang. A quantitative approach with a causal-associative design was employed. The study population comprised 8,282 library users in 2025, from which 99 respondents were selected through random sampling using the Slovin formula. Data were collected using a structured Likert-scale questionnaire that had been tested for validity and reliability, supported by literature review and documentation. The data were analyzed using descriptive and inferential statistics through simple linear regression with SPSS, following prerequisite tests of normality, linearity, and heteroscedasticity. The findings show that library facility modernization was categorized as good, with a mean score of 3.23, while the educational function of the library was also categorized as good, with a mean score of 3.24. Regression analysis revealed that facility modernization had a positive and significant effect on the educational function of the library, with a regression coefficient of 0.931 and a significance level below 0.05. The correlation coefficient of 0.842 indicates a very strong relationship, and the coefficient of determination of 0.708 shows that facility modernization explains 70.8% of the variance in the library’s educational function. The study concludes that improving library facility modernization significantly strengthens the educational function of academic libraries. These findings contribute to the development of user-oriented academic library services by emphasizing the importance of facility enhancement, digital accessibility, and information literacy support in promoting effective learning in higher education.
Investigating the Influence of Radiation Pressure on the Stability of Lagrangian Points in Celestial Mechanics Aliyu, Shehu Adamu; Ismail, Habujika Abdulhadi
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.v4i1.8179

Abstract

Lagrangian points represent critical equilibrium configurations in celestial mechanics where gravitational and centrifugal forces balance, enabling small bodies to maintain relative positions with respect to two primary masses. This study investigates the location and stability of these points under the influence of radiative forces, with a particular focus on the role of radiation pressure in modifying gravitational equilibrium. Using a mathematical modeling approach, the research derives expressions for the collinear and triangular Lagrangian points and examines how radiation pressure affects their equilibrium configurations. The analysis shows that the positions of the collinear points shift as a function of the radiation parameter, while the stability characteristics of the triangular points are governed by the mass ratio of the system. These findings refine the theoretical understanding of Lagrangian dynamics in radiating systems and highlight the sensitivity of equilibrium configurations to radiative effects. The study concludes that incorporating radiation pressure is essential for accurately characterizing gravitational equilibrium in realistic astrophysical and space mission scenarios, thereby providing a more robust foundation for celestial navigation, satellite deployment, and space mission design, and contributing to a deeper understanding of orbital mechanics relevant to future space exploration missions.
Cross-Lingual Sentiment Analysis with Natural Language Processing: Insights from Selected Nigeria Languages (Yoruba, Hausa, Igbo, and Nigerian Pidgin) Abdulyekeen, Rilwan; Abdullahi, Bashir Abbayaro
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.v4i1.8596

Abstract

Natural Language Processing (NLP) plays a pivotal role in sentiment analysis, particularly in multilingual societies such as Nigeria, where languages like Igbo, Hausa, Yoruba, and Pidgin English coexist yet remain largely underrepresented in existing NLP tools and resources. This study aims to develop a sentiment analysis framework specifically tailored to Nigeria’s four major languages, addressing key challenges including code-mixing, tonal variations, and the scarcity of annotated datasets. The research leverages existing linguistic studies on these languages while constructing customized annotated datasets and designing models optimized for their structural and phonological properties. By systematically integrating linguistic insights with task-specific model development for low-resource settings, the proposed framework is designed to handle multilingual and code-mixed inputs more effectively than generic NLP systems. The study concludes that a targeted, language-aware approach is essential for improving sentiment analysis performance in underrepresented African languages and for ensuring that NLP technologies reflect the linguistic realities of multilingual societies. The contributions of this research lie in advancing multilingual sentiment analysis for low-resource African languages, providing methodological guidance for handling code-mixing and tonal features, and supporting practical applications in business intelligence, governance, public opinion mining, and social media analytics.
Applications of Microbial Proteases: A Review Fasiku, Samuel Adedayo; Afolabi, Femi Johnson; Odeyale, Christiana Ify
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.v4i1.8630

Abstract

Microbial proteases have attracted increasing attention as eco-friendly biocatalysts because of their broad functional versatility and advantages over proteases derived from plants and animals. This review examines the major sources, classification, production methods, and sectoral applications of microbial proteases. Produced by bacteria, actinomycetes, and fungi, microbial proteases are classified according to optimum pH range, catalytic mechanism, and site of action, and are commonly generated through submerged and solid-state fermentation. The review shows that these enzymes have diverse industrial applications in detergent, leather and tanning, food and dairy, brewing and beverage processing, and textile production. In medical and pharmaceutical contexts, microbial proteases are applied in wound debridement and healing, antimicrobial and antibiofilm activities, drug development, diagnostics, and therapeutic interventions. In agriculture, they support animal feed supplementation by improving protein digestion and function as biological control agents by disrupting pathogen attachment, penetration, and colonization of plant tissues. In the environmental sector, their applications include waste management, bioremediation, and the recycling of keratinous and other protein-rich wastes. Overall, this review underscores the wide-ranging utility of microbial proteases across industrial, medical, agricultural, and environmental sectors, highlighting their potential as sustainable biological agents for diverse biotechnological applications.
Transformative Innovations in Tuberculosis Control: Advancing Diagnostics, Treatment, and Prevention for Global Elimination Abdulhakeem, Abdulsalam Oladipupo; Sununu, Amina Tanko; Alshabrawi, Faisal
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.v4i1.8726

Abstract

Tuberculosis (TB) remains a major global public health threat, driven by undiagnosed infections, the emergence of multidrug-resistant strains, and persistent weaknesses in health-care delivery systems, particularly in high-burden regions, thereby undermining progress toward the World Health Organization 2030 TB elimination targets. This study aimed to synthesize recent transformative innovations in TB diagnosis, treatment, and prevention and to evaluate their collective potential to accelerate global TB control. Using a narrative synthesis approach, the study reviewed evidence from late-stage clinical trials, implementation studies, and policy-relevant literature, with a focus on novel molecular diagnostics, artificial intelligence-assisted imaging, shortened drug regimens, genomic surveillance, and emerging TB vaccines. The synthesis indicates that rapid molecular tools, including Xpert MTB/XDR, enable genotypic drug-resistance profiling within 90 minutes, while CRISPR-based non-sputum assays improve detection in low-bacterial-load cases. Artificial intelligence-enabled radiology systems show diagnostic accuracy comparable to expert readers, supporting scalable screening in resource-limited settings. In treatment, the 6-month all-oral BPaLM/BPaL regimen demonstrates higher treatment success and adherence than conventional regimens, further strengthened by genomic surveillance for real-time resistance monitoring. In prevention, the M72/AS01E vaccine shows approximately 50% efficacy in preventing active TB, representing a substantial advance for high-risk populations. Overall, the convergence of advanced diagnostics, simplified treatment, and effective vaccination provides a realistic pathway toward TB elimination; however, equitable access, health-system readiness, and effective implementation across diverse epidemiological settings remain essential to achieving population-level impact.
Integrated Phenotypic and Genotypic Drug Susceptibility Profiling of Mycobacterium tuberculosis Reveals High Burden of Multidrug Resistance in Northwest Nigeria Tubi, Abiola Olajumoke; Gyar, Silas D.; Ngwai, Yakubu Boyi; Owuna, Jibril Egwu; Mafe, Alice Njolke
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.v4i1.8824

Abstract

Tuberculosis (TB) drug resistance remains a major public health challenge in Northwest Nigeria, undermining effective disease control and treatment outcomes. This study aimed to assess the genotypic and phenotypic drug susceptibility patterns of Mycobacterium tuberculosis isolates from patients attending TB Reference Centres, with particular focus on first-line, second-line, repurposed, and new anti-TB drugs. A cross-sectional design was employed involving 503 presumptive TB cases. MTB detection and rifampicin resistance were screened using Xpert MTB/RIF Ultra, genotypic resistance was assessed using Line Probe Assay, and phenotypic susceptibility was evaluated through Lowenstein–Jensen culture and MGIT Bactec 960. Associations between conventional drugs, repurposed drugs (levofloxacin, moxifloxacin, and linezolid), and the new drug bedaquiline with multidrug-resistant TB were analyzed using chi-square tests. The results confirmed MTB in 122 patients (24.3%), including 34 rifampicin-resistant cases (28.0%). Genotypic testing showed that 11 isolates (9.0%) were resistant to at least one drug, whereas 111 isolates (90.9%) were pan-susceptible. The prevalence of multidrug-resistant TB was 17.9%, with high susceptibility to levofloxacin (95.9%) and moxifloxacin (97.5%). Chi-square analysis demonstrated statistically significant associations between conventional, repurposed, and new anti-TB drugs and multidrug-resistant TB (p < .001). Discordance between phenotypic and genotypic drug susceptibility testing was also observed. Geographically, TB hotspots were identified in Sokoto, Kaduna, and Kano, while HIV co-infection remained low (4.4%). These findings indicate that a substantial proportion of TB patients harbor drug-resistant Mycobacterium tuberculosis strains, highlighting the need for routine drug susceptibility testing, continuous monitoring of new and repurposed drug effectiveness, strengthened regional surveillance, and evidence-based TB control policies to improve treatment decisions and curb the spread of multidrug-resistant TB.
Antibacterial Activity of Khaya senegalensis Stem Bark Against Salmonella typhi Isolated from Meat Handling Environments Murtala, Saadu; Muhammad, Shamsudeen Muhammad; Damilola, Samson Blessing
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.v4i1.9047

Abstract

Against the backdrop of escalating antibiotic resistance, medicinal plants continue to attract attention as potential sources of alternative antibacterial agents. This study evaluated the antibacterial efficacy of crude ethanol stem bark extract of Khaya senegalensis against environmental isolates of Salmonella typhi recovered from slaughter slab surfaces and meat handlers’ aprons. The stem bark extract was subjected to qualitative phytochemical screening, while environmental swab samples were cultured for the isolation and biochemical identification of S. typhi. Antibacterial activity was assessed at concentrations ranging from 12.5 to 100 mg/mL using the agar well diffusion method, whereas the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were determined through standard broth dilution and subculturing procedures. Data were analyzed using one-way analysis of variance, with statistical significance set at p < .05. The phytochemical screening revealed the presence of alkaloids, phenolic compounds, tannins, saponins, and steroids. The extract demonstrated concentration-dependent antibacterial activity against all tested isolates, with mean zones of inhibition ranging from 8.00 ± 1.15 mm to 16.00 ± 1.53 mm. The MIC values ranged from 25 to 50 mg/mL, while the MBC was 100 mg/mL for all isolates. Significant differences in antibacterial activity were observed across extract concentrations for most isolates. These findings indicate that K. senegalensis stem bark possesses appreciable antibacterial activity against environmental Salmonella typhi isolates, thereby supporting its traditional medicinal use. The study contributes to the growing evidence that Khaya senegalensis may serve as a promising natural source of antibacterial compounds for addressing antimicrobial resistance and controlling foodborne infections.
Development of an Enhanced Remote Monitoring System of Diesel Levels in Telecom Base Stations Kazeem, Agesin Ademola; Abubakar, Abdulkadir; Abubakar, Aliyu Umar; Abdulsalam, Nasiru; Hamza, Jamilu Bala; Sani, Zahraddeen Lawan
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.v4i1.9111

Abstract

This study presents the design and implementation of an enhanced Internet of Things (IoT)-based remote monitoring system for managing diesel levels and voltage status in telecommunication base stations (TBSs) to improve operational reliability and reduce fuel-related inefficiencies. A prototype system was developed by integrating ultrasonic fuel-level and voltage sensors with an Arduino Nano microcontroller and an ESP8266 Wi-Fi module. The system transmitted data to a cloud-based IoT platform for real-time visualization and automated alert generation, enabling continuous monitoring and timely notification of critical operating conditions. The system was evaluated in terms of efficiency, reliability, and cost performance under varying load conditions. The results demonstrated a 24.6% increase in monitoring efficiency, a 31% reduction in generator downtime, and an 18% reduction in operational costs compared with manual monitoring methods. These findings indicate that the proposed system offers a scalable, cost-effective, and energy-efficient solution for enhancing transparency, reducing manual oversight, and supporting more sustainable power management in telecommunication base stations. The study contributes practical evidence on the effectiveness of IoT-enabled monitoring for infrastructure management in energy-dependent telecommunications environments.

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