E-Journal UMSIDA (Universitas Muhammadiyah Sidoarjo)
Not a member yet
1909 research outputs found
Sort by
AI Applications for Optimizing Performance and Longevity in Solar Energy Systems: Aplikasi AI untuk Mengoptimalkan Kinerja dan Umur Panjang dalam Sistem Energi Surya
No full textGeneral background: Solar energy is recognized as the most potent and abundant form of renewable energy available to meet global energy demands. Specific background: Despite its potential, solar power systems face challenges related to low efficiency, high operational costs, and safety concerns. Knowledge gap: These persistent issues require intelligent solutions, yet the integration of advanced artificial intelligence (AI) techniques into solar energy systems remains underexplored in practical and scalable contexts. Aims: This study aims to examine the role of AI—particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL)—in addressing key limitations in solar power systems. Results: We highlight three main AI-driven use cases: performance forecasting, system optimization, and predictive maintenance, all of which significantly improve operational efficiency, reliability, and system longevity. Novelty: By leveraging AI’s adaptive and data-driven capabilities, this work presents an innovative framework for real-time decision-making and predictive analytics in solar energy systems. Implications: The findings underscore AI’s transformative potential in enabling the widespread, flexible, and sustainable integration of solar power into global energy infrastructures, thereby accelerating the transition toward a resilient and intelligent renewable energy future.
Highlights:
AI boosts solar performance via forecasting, optimization, and maintenance.
Machine learning adapts systems using data-driven predictive models.
Enhances sustainability by reducing costs and extending system lifespan.
Keywords: Solar Energy, Artificial Intelligence, Machine Learning, Predictive Maintenance, System Optimizatio
Synthesis, Characterization, and Theoretical Analysis of Schiff Base Graphene Oxide Utilizing DFT Computing : Sintesis, Karakterisasi, dan Analisis Teoritis Grafena Oksida Basis Schiff Menggunakan Komputasi DFT
No full textGeneral Background: Graphene oxide (GO) and its derivatives, such as Schiff base-functionalized graphene oxide (GOTM), have gained significant attention due to their unique properties and potential applications in various fields. Specific Background: The synthesis and characterization of GOTM involve advanced spectroscopic techniques like FT-IR, XRD, Raman, and FESEM, along with computational analysis using Density Functional Theory (DFT). Knowledge Gap: Despite extensive research on GO, the influence of Schiff base functionalization on its chemical and electronic properties remains inadequately explored. Aims: This study aims to synthesize GOTM, characterize its structural and electronic properties, and analyze its stability and reactivity through DFT calculations. Results: The synthesis of GOTM was confirmed through FT-IR, XRD, Raman, EDX, and FESEM, revealing changes in surface morphology and electronic characteristics compared to GO. DFT calculations showed significant differences in reactivity indices and electronic properties between GO and GOTM. Novelty: This study provides a comprehensive analysis of the impact of Schiff base functionalization on GO’s electronic structure, offering new insights into its reactivity and stability. Implications: The findings contribute to the design of advanced materials with tailored electronic properties for applications in energy, sensors, and environmental technologies.
Highlights:
Nurses are essential in obesity physiotherapy interventions.
Knowledge gaps reduce physiotherapy care effectiveness.
Training improves nurse-led obesity management.
Keywords: Nurses, Physiotherapy, Obesity, Knowledge, Saudi Arabi
Forecasting Industrial Growth Using Multi-Stage Regression and Elasticity Analysis: Peramalan Pertumbuhan Industri Menggunakan Regresi Multi-Tahap dan Analisis Elastisitas
No full textGeneral Background: Forecasting the development of industrial enterprises is crucial for strategic planning and sustainable growth. Specific Background: Existing models employ mathematical statistics, economic-mathematical modeling, and regression analysis to predict key performance indicators. Knowledge Gap: However, there remains limited integration of multi-stage regression methods and elasticity analysis in forecasting industrial output over long-term periods. Aims: This study aims to construct a multifactorial forecasting model using multiple regression and correlation functions to estimate the gross product volume of industrial enterprises in Andijan region from 2024 to 2030. Results: The model, based on historical data from 2010–2023, achieved a high coefficient of determination (R = 0.962) and an acceptable forecast error (2–8%). Elasticity coefficients indicate consistent growth in production efficiency, despite fluctuations in capital fund efficiency. Novelty: The use of multi-stage regression and elasticity-based adjustments, combined with statistical extrapolation, offers a more accurate and regionally contextualized forecast of industrial performance. Implications: The findings support targeted strategic planning by highlighting district-level disparities and recommending policy measures such as resource reallocation, entrepreneurship development, and production modernization to ensure sustainable industrial growth through 2030.
Highlights:
High accuracy forecast using regression with low error range.
Elasticity analysis improves long-term industrial predictions.
Informs strategic planning for regional enterprise growth.
Keywords: industrial forecasting, multiple regression, elasticity coefficient, production modeling, economic extrapolatio
The Effect of Nanoparticles on Mice Brain Tissue: Dampak Nanopartikel terhadap Struktur Jaringan Otak Tikus
No full textNanoparticles (NPs) have attracted considerable attention in biomedical research due to their unique physicochemical properties and potential applications. Cerium oxide (CeO₂) nanoparticles, in particular, have shown promise for their antioxidant and neuroprotective properties. However, concerns remain regarding their safety and potential neurotoxicity, especially with long-term or high-dose exposure. Although research into their biomedical use is expanding, limited in vivo evidence exists on how cerium oxide nanoparticles affect brain tissue at the histological level. This study aimed to examine the histopathological impact of intraperitoneally administered cerium oxide nanoparticles in Mus musculus mice over four weeks. Mice were divided into two groups: one received 1 mL of physiological saline (control), and the other received 1 mL of a solution containing 3.75 µL of cerium oxide daily. After treatment, brain tissues were analyzed histologically. The treated group showed notable alterations in white matter, neurofibers, and glial cells, including glial cell aggregation, necrosis, and degeneration of white matter. These findings provide direct in vivo evidence of potential neurotoxic effects caused by cerium oxide nanoparticles. The study highlights the importance of careful dose regulation and calls for more research into their mechanisms of toxicity and long-term effects to ensure safe biomedical application.Highlight:
Cerium oxide nanoparticles caused brain tissue damage in mice.
Key effects included glial cell necrosis and white matter degeneration.
Highlights need for safe dosing and long-term toxicity studies.
Keyword: Rabbits, Nanoparticles, Brain, Tissue, Damage
 
Bogor Traditional Food Project Module Builds Students’ Competence and Global Character: Modul Proyek Makanan Tradisional Bogor Membangun Kompetensi dan Karakter Global Siswa
No full textGeneral Background: In an increasingly globalized society, fostering multicultural competence and global diversity character in primary education is critical for shaping tolerant and inclusive citizens. Specific Background: However, educational institutions often lack contextual, engaging materials to cultivate these competencies effectively, particularly through culturally rooted experiences. Knowledge Gap: Despite the potential of local culture as a medium for learning, studies rarely examine its integration through structured project-based modules in primary education. Aims: This study aims to evaluate the effectiveness of a project-based learning module focused on traditional Bogor food in enhancing students’ multicultural competence and global diversity character within the Pancasila Student Profile (P5) framework. Results: Using a quasi-experimental design, the experimental class achieved a high average N-Gain score (0.74) for multicultural competence, surpassing the control class (0.60), and outperformed the control group by 7.5% in global diversity character scores. Novelty: The study introduces a novel instructional strategy that integrates traditional culinary practices into project learning to develop cultural awareness, empathy, and adaptability among elementary students. Implications: These findings suggest that embedding local cultural elements in project-based learning modules is a promising pedagogical approach to enrich multicultural and global character education in primary schools.Highlight :
The traditional food project effectively improves students' multicultural competence and global diversity character.
Learning through local food enhances cultural understanding, empathy, and inclusive attitudes.
The experimental class showed significantly higher N-Gain and global diversity scores than the control group.
Keywords : P5 Project Module, Traditional Food, Multicultural Competence, Global Diversity, Primary Education
 
Habituation Strategies for Developing Religious and Moral Values in Schools
No full textGeneral Background: The cultivation of moral and religious values is a critical component of early education, particularly in faith-based institutions. Specific Background: Muhammadiyah Elementary School 13 Makam Bergola emphasizes religious habituation as part of its character education agenda. Knowledge Gap: However, limited studies have examined how structured school programs integrate with home environments to sustain value-based education. Aims: This study aims to explore the implementation and effectiveness of moral and religious value habituation at the school through a descriptive qualitative approach involving interviews with teachers, students, and parents. Results: Findings reveal that six core indicators—religious habituation, worship practices, praying, polite behavior, positive conduct, and greeting etiquette—are effectively embedded in daily school routines through strategies such as routine programming, teacher modeling, and reward systems. Novelty: The study highlights the innovative integration of parenting education and home-school collaboration to address the inconsistency of value practice between school and home environments.Implications: These results underscore the necessity of a holistic, school-family partnership model for sustainable moral and religious development in elementary education.
Highlights:
Emphasizes consistent religious and moral value habituation at school.
Highlights collaboration between teachers and parents to reinforce values.
Introduces parenting education as a solution to home-school inconsistency.
Keywords: Character Education, Religious Values, Moral Values, Habits, Elementary Schoo
Global Trends and Prospects for Post-Pandemic International Tourism Development in Uzbekistan
No full textBackground: International tourism has undergone profound changes due to the COVID-19 pandemic, significantly affecting global and regional travel flows. Specific Background: Uzbekistan, with its rich cultural heritage and strategic location, has seen evolving patterns in tourism development, especially in the post-pandemic context. Knowledge Gap: Despite the global attention to tourism recovery, limited studies have focused on Uzbekistan's unique trajectory and adaptive strategies in this period. Aims: This study aims to analyze the trends and prospects of international tourism in Uzbekistan from 2012 to 2023, with an emphasis on post-pandemic structural transformations. Results: The findings reveal that digitalization, sustainable practices, and personalized travel have become central to the sector's revival. Key enablers of growth include visa liberalization, infrastructure modernization, and innovative heritage management. Novelty: By integrating comparative global data with national statistics, this research provides a nuanced understanding of Uzbekistan’s tourism resilience and strategic adaptation. Implications: The study offers policy-relevant insights for enhancing the competitiveness of Uzbekistan’s tourism industry, highlighting the importance of aligning national strategies with global best practices amid ongoing uncertainties.
Highlights:
Post-pandemic recovery strategies shaped tourism’s transformation.
Infrastructure and visa reforms boost international arrivals.
Innovation and sustainability drive long-term tourism growth.
Keywords: International Tourism, Post-Pandemic Recovery, Sustainable Development, Digitalizatio
Determinants of Qris Usage Decisions in Culinary MSMEs Using the TAM Model
No full textBackground: The rapid digitalization of payment systems in Indonesia presents a transformative opportunity for Micro, Small, and Medium Enterprises (MSMEs), yet adoption remains uneven. Specific Background: In particular, culinary MSMEs in Medan City exhibit varied levels of engagement with QRIS (Quick Response Code Indonesian Standard), despite its potential to streamline transactions and enhance financial inclusion. Knowledge Gap: Limited empirical evidence exists on the behavioral drivers influencing QRIS adoption from an Islamic financial perspective, especially within the context of MSMEs. Aim: This study aims to examine the determinants of QRIS adoption among culinary MSMEs in Medan using the Technology Acceptance Model (TAM) framework. Results: Using a quantitative approach involving 78 purposively sampled MSMEs and multiple linear regression analysis, the study reveals that perceived usability and Islamic financial literacy significantly and positively influence QRIS adoption, while perceived convenience unexpectedly has a negative effect. These variables collectively explain 36.8% of the variance in adoption behavior. Novelty: The integration of Islamic financial literacy into the TAM framework presents a novel analytical perspective within the fintech adoption discourse in emerging markets. Implications: To promote broader QRIS adoption, policymakers and financial institutions should prioritize educational interventions addressing perceived convenience and enhance digital literacy rooted in Islamic financial principles.
Highlight:
Usability and Islamic literacy drive QRIS adoption.
Convenience negatively affects adoption behavior.
36.8% of adoption decision explained by key TAM variables.
Keywords: QRIS Adoption, Islamic Financial Literacy, TAM Framework, Culinary MSMEs, Digital Payment
 
The Contextual Teaching and Learning Using Media for Student Character Formation: Pengajaran dan Pembelajaran Kontekstual Menggunakan Media untuk Pembentukan Karakter Siswa
No full textGeneral Background: Character education has become a crucial agenda in Indonesian education policy, aiming to develop a generation embodying the noble values of Pancasila. Specific Background: Despite this emphasis, current classroom practices often prioritize cognitive knowledge over character development. Knowledge Gap: There is limited empirical evidence on the effectiveness of contextual learning models, particularly when mediated through concrete teaching tools, in shaping student character at the elementary level. Aims: This study investigates the implementation of the Contextual Teaching and Learning (CTL) approach using media to foster character development among 5th-grade students at SD Muhammadiyah 18 Plus Surabaya. Results: Findings demonstrate that media-based CTL effectively cultivates critical thinking, independence, cooperation, and creativity. Data revealed that over 50% of students reached the “Very Developed” level in character indicators aligned with the six dimensions of the Pancasila Student Profile. Novelty: This study introduces a contextual, media-supported character education model grounded in real-life student experiences, integrated with formative assessment and teacher facilitation strategies. Implications: The results suggest that sustained implementation of CTL can bridge academic learning and value transfer, supporting national character-building goals in primary education.Highlight :
Integration with Real Life – CTL connects academic content to students' daily experiences, enhancing character development.
Character Formation Focus – CTL strengthens traits like critical thinking, creativity, and cooperation through contextual strategies.
Teacher as Facilitator – Teachers play a key role in designing meaningful, media-assisted, and character-oriented learning.
Keywords : CTL, Media-Based Learning, Character Building, Elementary Education, Pancasila Profil
Customer Preferences in Choosing Ijarah Contracts at Islamic Banks
No full textGeneral Background: Islamic financing contracts, such as the Ijarah Agreement, are vital instruments in Sharia-based banking. Specific Background: Despite their growing adoption, limited research has empirically explored the determinants of their use among Bank Syariah Indonesia (BSI) clients. Knowledge Gap: There is a lack of understanding regarding which factors significantly drive customer decisions toward Ijarah products. Aims: This study aims to identify and assess the key factors influencing the adoption of Ijarah Agreements among clients of Bank BSI Lubuk Pakam. Results: Using a quantitative descriptive approach with purposive sampling of 40 respondents, the study employed SPSS 22 for statistical analysis, including normality, regression, and significance testing. The results show that product quality and margins significantly affect customer decisions, whereas service quality and financing methods have negligible impact. The adjusted R² value of 0.629 indicates that 62.9% of decision variance is explained by the tested variables. Novelty: This study offers new empirical insights into how specific product attributes and profitability shape customer behavior in Ijarah financing. Implications: The findings underscore the need for Sharia banks to prioritize product excellence and competitive margins to enhance Ijarah adoption.
Highlights:
Highlights the dominance of product quality and margin in customer choices.
Uses empirical analysis through SPSS on BSI clients.
Reveals service quality has limited impact on Ijarah adoption.
Keywords: Ijarah Contracts, Customer Decision, Islamic Banking, Product Quality, Profit Margi