E-Journal UMSIDA (Universitas Muhammadiyah Sidoarjo)
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    1909 research outputs found

    Bridging Gaps in Government Policies for Inclusive Education in Indonesia: Menjembatani Kesenjangan dalam Kebijakan Pemerintah untuk Pendidikan Inklusif di Indonesia

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    Background: Inclusive education ensures equitable access for students with special needs, yet implementation in Indonesia faces challenges like limited resources, insufficient teacher training, and societal stigma. Knowledge Gap: While studies examine teacher attitudes and institutional challenges, the role of government policy remains underexplored. Aim: To analyze the implementation of government policies on inclusive education. Results: Qualitative analysis revealed gaps in training and funding, contrasting with successful policy instruments supporting inclusion. Novelty: This study identifies disparities between policy frameworks and their practical application. Implications: Collaborative efforts among stakeholders and enhanced cultural support are crucial for effective policy implementation and better educational outcomes. Highlights: Policy Implementation: Gaps exist between inclusive education policies and their practical application, particularly in teacher training and funding. Community Perspectives: Societal stigma toward students with special needs remains a critical barrier to inclusivity. Collaboration Required: A multi-stakeholder approach is essential to align policy objectives with ground-level execution and cultural integration. Keywords: Inclusive Education, Government Policy, Teacher Training, Societal Stigma, Resource Allocatio

    Physiology of Nerve Supply for Renal System: Fisiologi Suplai Saraf untuk Sistem Ginjal

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    General Background: The renal nervous system regulates kidney function through sympathetic and sensory neurons, impacting blood pressure and fluid balance. Specific Background: Renal nerve hyperactivity is linked to hypertension and metabolic disorders, prompting interest in renal denervation as a treatment. Knowledge Gap: The precise mechanisms by which renal nerves influence disease remain unclear, and clinical outcomes of renal denervation are inconsistent. Aims: This review explores renal nerve structure, neurotransmission, and functional roles in health and disease. Results: Sympathetic nerves release norepinephrine and co-transmitters, affecting vascular resistance and sodium handling, while sensory nerves modulate sympathetic output. Novelty: It integrates recent findings on renal neurophysiology, emphasizing afferent-sympathetic interactions. Implications: Advancing knowledge of renal nerves could refine treatments for hypertension and kidney disorders. Highlights: Renal nerve signaling controls blood pressure and kidney function through neurotransmitters like norepinephrine and ATP. Renal denervation therapy shows potential for treating hypertension but has inconsistent clinical outcomes. Afferent-sympathetic interaction plays a crucial role in kidney function and systemic homeostasis Keywords: Renal Nerves, Sympathetic Regulation, Hypertension, Neurotransmitters, Renal Denervatio

    Optimization Strategies for Energy Management Systems of Solar-Powered Unmanned Aerial Vehicles: Strategi Optimasi Sistem Manajemen Energi pada Kendaraan Udara Nirawak Bertenaga Surya

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    General Background: The rapid advancements in solar-powered unmanned aerial vehicles (UAVs) have increased interest in optimizing their energy management systems (EMS) to enhance performance and flight endurance. Specific Background: Effective EMS in solar UAVs requires advanced strategies for solar energy harvesting, energy storage, and power distribution to maximize operational efficiency under varying environmental conditions. Knowledge Gap: Despite recent progress, challenges remain in energy conversion efficiency, battery storage capacity, and the integration of intelligent predictive control mechanisms, limiting the UAVs’ ability to operate autonomously for extended periods. Aims: This review investigates current EMS optimization strategies for solar-powered UAVs, emphasizing multi-objective optimization techniques, energy management algorithms, and the impact of environmental conditions on UAV performance. It also explores the role of artificial intelligence (AI) and machine learning in improving EMS efficiency. Results: Studies highlight that multi-objective genetic algorithms (MOGAs) effectively balance energy allocation between propulsion, battery storage, and payload, leading to significant endurance improvements. Fuzzy logic-based power management systems enhance energy efficiency by dynamically adjusting power distribution based on real-time UAV energy demands. Adaptive energy management strategies that integrate environmental and operational data improve flight times by up to 30% under extreme conditions. Novelty: This review synthesizes state-of-the-art EMS strategies, identifying key optimization techniques and emerging AI-driven solutions for adaptive and predictive energy management. By consolidating findings from diverse methodologies, it provides a comprehensive assessment of how intelligent control systems enhance UAV autonomy. Implications: The findings underscore the necessity of developing more efficient power conversion technologies, advanced battery storage solutions, and AI-based EMS frameworks to enable long-duration UAV operations. Future research should focus on refining these technologies to improve UAV performance in energy-intensive applications such as surveillance, environmental monitoring, and disaster response. Highlights: Optimization: MOGAs and fuzzy logic improve energy efficiency and endurance. Adaptation: Real-time power adjustments enhance UAV performance in harsh conditions. AI Integration: Machine learning enables predictive, autonomous energy management. Keywords: Solar-powered UAVs, Energy Management Systems, Optimization Algorithms, Adaptive Control, Artificial Intelligence &nbsp

    Foreign Trade Regulation in the Digital Economy: Challenges and Opportunities and Future Trends: Regulasi Perdagangan Luar Negeri dalam Ekonomi Digital: Tantangan dan Peluang serta Tren Masa Depan

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    The digital economy has transformed global trade by facilitating cross-border transactions of commodities, services, and data. Digital market expansion creates multiple regulatory barriers for foreign trade because it generates privacy issues with data and cybersecurity risks along with protectionist approaches that demand global standards. The absence of global consensus together with national policies that differ from each other prevent the establishment of digital commerce norms. The digital economy presents multiple possibilities for growth which let small businesses take part in e-commerce platforms and enable blockchain technology along with smart contracts to innovate the industry. The combination of international digital trade agreements complemented by emerging technological developments solves regulatory gaps which then helps companies conduct international deals and creates a more accessible international market. The research analyzes digital economy foreign trade regulation problems alongside opportunities to emphasize the requirement of flexible technology-agnostic regulatory approaches merging innovative measures with trade fairness and security standards.  Highlights:   Digital economy transforms global trade, creating regulatory barriers and privacy issues. National policies differ, hindering digital commerce norms and global consensus. Technology and international agreements solve regulatory gaps, enabling accessible international markets.   Keywords: Digital economy, foreign trade regulation, digital trade, trade barriers, e-commerce, cross-border data flow, digital services, digital transformation, data privac

    Classification and Control Strategies for Malaria, Plague, and Tuberculosis: Klasifikasi dan Strategi Pengendalian Malaria, Wabah, dan Tuberkulosis

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    General Background: Infectious diseases continue to pose a significant global health challenge, with malaria, plague, and tuberculosis contributing to high morbidity and mortality rates. Globalization has further accelerated their spread across borders. Specific Background: Despite medical advancements, these diseases persist due to factors such as drug resistance, high transmission rates, and regional endemicity. Pulmonary tuberculosis, in particular, remains a major concern due to its chronic nature and multidrug resistance. Knowledge Gap: Comparative studies classifying these diseases based on severity, epidemiological impact, and treatment response remain limited, making it difficult to prioritize intervention strategies effectively. Aims: This study classifies malaria, plague, and pulmonary tuberculosis using global health data to assess their epidemiological burden and treatment response. Results: Pulmonary tuberculosis presents the greatest long-term threat due to its resistance patterns. Plague, while acutely lethal, is highly treatable with timely antibiotics. Malaria remains a significant burden but is manageable with appropriate interventions. Novelty: This study integrates statistical analyses of mortality rates, transmission dynamics, and drug resistance patterns to provide a comparative classification of these diseases. Implications: Findings emphasize the necessity of early diagnosis, targeted drug development, and strengthened surveillance to enhance global infectious disease control efforts. Highlights: Infectious diseases remain a global challenge due to transmission and drug resistance. Tuberculosis is persistent, plague is acutely lethal, malaria burdens endemic regions. Targeted interventions, early diagnosis, and drug development are crucial for control. Keywords : Malaria, plague, tuberculosis, epidemiology, response to treatment and burden of disease &nbsp

    Beyond Budgeting for Adaptive Financial Management in Uzbekistan’s Banking Sector: Melampaui Penganggaran untuk Manajemen Keuangan Adaptif di Sektor Perbankan Uzbekistan

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    General Background: The banking sector is undergoing significant transformation, necessitating adaptive financial management practices. Traditional budgeting, characterized by rigid annual plans and fixed targets, has proven inefficient in dynamic economic environments. Specific Background: Beyond Budgeting, introduced by Hope and Fraser, offers an alternative approach emphasizing rolling forecasts, decentralized decision-making, and adaptive performance evaluation. Knowledge Gap: Despite its success in global banking institutions like Svenska Handelsbanken and UBS, limited research explores its applicability in emerging markets, particularly in Uzbekistan. Aims: This study examines the limitations of traditional budgeting, the advantages of Beyond Budgeting, and its potential implementation in Uzbekistan’s banking sector. Results: Findings highlight that Beyond Budgeting enhances financial flexibility, operational efficiency, and customer responsiveness. Key enablers include investment in financial analytics, strategic decentralization, and regulatory adaptation. Novelty: This study provides a tailored roadmap for Beyond Budgeting adoption in Uzbekistan’s banking sector, addressing cultural resistance and regulatory challenges. Implications: Transitioning to Beyond Budgeting can significantly improve financial performance, enabling banks to navigate economic volatility and enhance long-term competitiveness. These insights contribute to the broader discourse on financial management innovation in emerging markets. Highlights:   Traditional budgeting is inefficient in dynamic banking environments. Explore Beyond Budgeting’s benefits and applicability in Uzbekistan’s banking sector. Enhances financial flexibility, efficiency, and competitiveness in emerging markets. Keywords: Beyond Budgeting, banking sector, financial management, budgeting alternatives, rolling forecasts, decentralized decision-making, performance evaluation, cost efficiency, strategic financial planning. &nbsp

    e-HRM Strengthens Service Quality in Iraqi Government Banking Sector: e-HRM Memperkuat Kualitas Layanan di Sektor Perbankan Pemerintah Irak

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    General Background: The digital era has compelled government institutions, including banks, to adopt innovative technologies to enhance service delivery. Specific Background: Among these innovations, Electronic Human Resource Management (e-HRM) plays a critical role in improving internal efficiency and customer satisfaction. Knowledge Gap: Despite its growing global relevance, empirical studies on the impact of e-HRM on service quality in Iraqi government banks remain limited. Aims: This study investigates the relationship between e-HRM implementation and the quality of banking services at the Iraqi Bank of Commerce, Rasheed Bank, Rafidain Bank, and Nahrin Islamic Bank. Results: The findings reveal that e-HRM significantly contributes to service quality through improved employee performance, accuracy, administrative efficiency, and customer satisfaction. Electronic training programs, streamlined HR functions, and reduced processing time emerged as key enablers. Novelty: This study offers a focused analysis within the Iraqi public banking sector, diverging from general approaches by directly connecting e-HRM functions to measurable service outcomes. Implications: The results suggest that adopting modern HR technologies and fostering a digital transformation culture can enhance banking competitiveness and customer trust, providing a strategic advantage for public financial institutions in developing economies. Highlights: e-HRM improves efficiency, accuracy, and service quality. Focus on Iraqi government banks’ digital HR adoption. Recommends training and tech investment for better services. Keywords: e-HRM, service quality, government banks, digital transformation, employee performanc

    Acehnese Cultural Fusion Builds Positive Language Views in Young Children

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    General Background: Language attitudes developed in early childhood are foundational to social integration and identity formation. Specific Background: In culturally rich regions like Aceh, local values are often underrepresented in formal early childhood education. Knowledge Gap: Limited research explores the pedagogical impact of integrating Acehnese culture into language development strategies for young learners.Aims: This study aims to examine the effectiveness of a fusion culture-based learning model in improving language attitudes among early childhood students through the integration of Acehnese cultural elements.Results: Using a case study approach with data gathered via observation, interviews, and document analysis, the study found that embedding traditional games, regional songs, and folklore into thematic lessons significantly enhanced students’ ability to greet, thank, request permission, and interact politely. Novelty: The pedagogical innovation lies in the contextualization of early childhood learning through a fusion of traditional Acehnese cultural expressions and modern educational techniques. Implications: These findings demonstrate that local culture-based learning not only nurtures positive language attitudes but also strengthens cultural identity from an early age, offering a replicable model for culturally responsive early childhood education. Highlights:  Enhances polite communication in young learners. Integrates traditional culture with modern pedagogy. Strengthens early cultural identity formation. Keywords: Language Attitudes, Early Childhood, Local Culture, Fusion Learning, Acehnese Educatio

    Religiosity, Trust, and Literacy Drive Islamic Finance Adoption

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    General Background: Despite Indonesia's Muslim-majority population, the market share of Islamic financial products remains low. Specific Background: Islamic financial literacy, trust in financial institutions, and personal religiosity have been identified as key determinants in financial decision-making, yet empirical studies show inconsistent findings. Knowledge Gap: Previous research has not adequately assessed these three factors simultaneously, particularly within a student population that receives Islamic education. Aims: This study aims to examine how religiosity, trust, and sharia financial literacy affect students’ interest in using Islamic financial products. Results: Based on a survey of 100 purposively sampled students at UIN North Sumatra, multiple linear regression analysis revealed that all three variables — religiosity (β = 0.345), trust (β = 0.445), and sharia financial literacy (β = 0.236) — have a positive and significant relationship with interest in using Islamic financial products, explaining 74.2% of the variance. Novelty: This study is one of the first to simultaneously analyze these predictors among students of an Islamic university, providing insights into the behavioral intentions of a strategically important demographic. Implications: The findings underscore the need for collaborative efforts between Islamic financial institutions and universities to foster literacy, trust, and religious alignment with financial behavior among youth.Highlights: Trust is the strongest predictor of product interest among students. Sharia financial literacy significantly correlates with usage interest. The model explains 74.2% of the variation in interest behavior. Keywords: religiosity, trust, Islamic financial literacy, student behavior, Islamic bankin

    Education on Cough and Cold Treatment with Acupressure Through Leaflets and Videos: Edukasi Penanganan Batuk Pilek dengan Akupresur Melalui Media Leaflet dan Video

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    Treatment of cough and cold is prioritized non-pharmacological. The purpose of this study was to determine differences in the level of knowledge and skills of mothers in handling cold coughs with acupressure through the media of leaflets and videos. The research method is Quasi Experimental Two Group Pretest Posttest. Population of mothers who have toddlers aged 1 to 5 years at Taman Sidoarjo Public Health Center. The Non Probability sample of 40 people was divided into two groups of leaflets and videos. The pretest uses a questionnaire for knowledge level and a checklist for mother's skills. Posttest one week after getting the intervention. The results of the research data were analyzed by the Independent T-Test test. The results of pretest leafleat knowledge 74.50 video 78.00 posttest leafleat 84.00 video 90.50 for pretest leafleat and video skills .00 posttest leafleat 11.743 video 9.787. The results of the T-Test test showed a p value > 0.05, so education on treating cold coughs with acupressure using leaflet and video media provided an increase in knowledge and skills, there was a difference in improvement, but the difference was not significant

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