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Academia Open
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 27147444     DOI : 10.21070/acopen.11.2026.12985
Core Subject : Health,
Medicine & Pharmacology Public Health
Academia Open is published by Universitas Muhammadiyah Sidoarjo published 2 (two) issues per year (June and December). This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. This journal aims is to provide a place for academics and practitioners to publish original research and review articles. The articles basically contains any topics research or review. Academia Open is available in online version. Language used in this journal is Indonesia or English.
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 2,389 Documents
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Token Economy Application for Reduced Online Gaming Duration in Adolescents: Aplikasi Ekonomi Token untuk Mengurangi Durasi Bermain Game Online pada Remaja Siti Mahmudah; Ghozali Rusyid Affandi
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10696

Abstract

General Background: Rapid technological development has positioned online gaming as a dominant leisure activity among adolescents, frequently associated with excessive daily use and behavioral difficulties. Specific Background: Prolonged online gaming duration among junior high school students has been linked to disrupted learning routines, social withdrawal, and neglected daily activities, necessitating structured behavioral interventions grounded in behavioral psychology. Knowledge Gap: Although token economy strategies have been widely applied to address addictive behaviors in children and adults, empirical evidence using single subject research designs focusing specifically on adolescent gaming duration remains limited, particularly with detailed phase-based observation. Aims: This study aimed to examine the application of a token economy technique to reduce the duration of online gaming behavior in a 13-year-old junior high school student. Results: Using a quantitative quasi-experimental single subject research design with an ABA structure, the findings demonstrated a consistent reduction in gaming duration from an initial range of 6–12 hours during baseline to approximately 2–3 hours in the post-intervention phase, accompanied by increased behavioral stability. Novelty: The study presents detailed within-condition and between-condition analyses illustrating behavioral change patterns across baseline, intervention, and withdrawal phases within a home-based setting. Implications: These findings suggest that token economy techniques can serve as a structured behavioral modification approach for managing excessive online gaming duration among adolescents, with practical relevance for parents and practitioners implementing behavior-based interventions. Highlights: Daily Gaming Time Showed a Clear Downward Trend Across Structured Observational Phases. Behavioral Stability Increased Following the Reinforcement-Based Intervention. Home-Based Reinforcement Procedures Supported Sustained Behavioral Change. Keywords: Token Economy, Online Gaming Duration, Adolescents, Single Subject Research, Behavior Modification
Balancing Traditional and Modern Methods in Sustainable HR Management: Menyeimbangkan Metode Tradisional dan Modern dalam Manajemen SDM yang Berkelanjutan Saadia Haief Kadhum; Muayad Al-Saidi
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10697

Abstract

General Background: Effective employee performance evaluation is crucial for sustainable human resource management (SHRM) in higher education institutions. Specific Background: The Middle Euphrates Technical University, spanning five Iraqi provinces, implements both traditional and modern evaluation methods, yet their impact on SHRM remains underexplored. Knowledge Gap: Limited studies have analyzed how these evaluation techniques influence the economic, social, and environmental dimensions of SHRM in the context of Iraqi higher education. Aims: This study aims to determine which evaluation methods more significantly affect human resource sustainability, focusing on the interplay between traditional and contemporary approaches. Results: Findings reveal that both methods are equally utilized by the university, with contemporary techniques slightly outperforming traditional ones in promoting sustainable HR practices. The economic dimension received the most institutional focus, while the social dimension showed greater progress than the environmental aspect in response to evaluation methods. Novelty: This research uniquely integrates organizational theory and HRM within the context of sustainability, highlighting the nuanced impact of evaluation methods on SHRM. Implications: The study underscores the need for higher education institutions to prioritize modern evaluation strategies that align with sustainability goals, fostering a balanced approach across economic, social, and environmental dimensions. Highlights: Modern methods slightly outperform traditional in HR sustainability. Economic dimension prioritized; social exceeds environmental progress. Sustainable HR evaluations boost institutional effectiveness. Keywords: Employee Performance Evaluation, Sustainable Human Resource Management, Traditional vs. Contemporary Methods, Higher Education, Middle Euphrates Technical University
Applied Model for Horizontal Well Matrix Acidizing: Model Terapan untuk Pengasaman Matriks Sumur Horisontal Salam Abdul-Zahra Khalefa; Ali Nooruldeen Abdulkareem; Mudhaffar Yacoub Hussein; Ali Hadi Kareem
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10702

Abstract

General Background: Horizontal wells often exhibit low productivity due to formation damage induced by drilling, work-over, production, and injection operations, which impair the physical integrity around the wellbore. Specific Background: Matrix acidizing has been widely adopted to mitigate such damage, especially in complex horizontal well environments where acid distribution along the wellbore directly influences stimulation effectiveness. The process is particularly intricate in reservoirs with varying geological properties, necessitating a thorough understanding of acid-rock interactions and damage mechanisms. Knowledge Gap: Despite extensive historical use of acidizing since the late 19th century, challenges remain in optimizing acid placement, minimizing formation damage, and enhancing well productivity, especially in heterogeneous reservoirs. Aims: This study investigates the mechanisms of formation damage, evaluates the role of different acid types and additives in carbonate and sandstone reservoirs, and models acid distribution to improve stimulation outcomes in long horizontal wells. Results: The modeling approach effectively simulates acid placement and wormhole formation, demonstrating enhanced productivity and damage mitigation. Historical advancements, from early HCl treatments to modern mud acid applications, were analyzed to contextualize current practices. Novelty: The integration of advanced simulation techniques with an in-depth analysis of acid interactions offers new insights into optimizing matrix acidizing, particularly under variable reservoir conditions. Implications: The findings provide a framework for designing more efficient acidizing treatments, reducing operational costs, and improving hydrocarbon recovery. This research contributes to the broader understanding of formation damage control, guiding future strategies in well stimulation and reservoir management. Highlights: Formation Damage: Causes, impact, and mitigation strategies. Acidizing Process: Optimization of acid placement and additive use. Modeling Approach: Simulates acid flow for better well stimulation. Keywords: Horizontal wells, Formation damage, Matrix acidizing, Acid-rock interaction, Well stimulation
Authenticity and Tourist Motivation Across Cultural Tourism Experiences: Keaslian dan Motivasi Wisatawan di Seluruh Pengalaman Wisata Budaya Taniyev Ahmadjon
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10708

Abstract

General Background: Authenticity is crucial in modern tourism, where travelers seek meaningful cultural experiences beyond sightseeing. Specific Background: Authenticity in tourism is categorized into objective, constructive, and existential dimensions, yet their impact on tourist motivations remains underexplored. Knowledge Gap: Existing studies focus on authenticity’s link to satisfaction but overlook demographic influences and its role in different tourism types. Aims: This study examines how authenticity shapes tourist motivations, expectations, and satisfaction through qualitative methods, including interviews and case studies. Results: Tourists value different forms of authenticity—objective for tangible heritage, constructive for personal expectations, and existential for transformative experiences—affecting satisfaction and loyalty. Novelty: This study offers a multidimensional view of authenticity, showing its subjective and dynamic nature influenced by demographics and psychology. Implications: Tourism providers should create culturally sensitive, community-focused experiences to enhance satisfaction, sustainability, and destination appeal. Highlights: Tourist Preferences Differ – Objective, constructive, and existential authenticity appeal to different traveler motivations. Authenticity Shapes Satisfaction – Aligning tourism experiences with authenticity preferences fosters deeper engagement and loyalty. Cultural Sensitivity Matters – Community-centered, respectful tourism preserves heritage while meeting diverse tourist expectations. Keywords: Authenticity, Cultural Tourism, Tourist Motivation, Experiential Tourism, Destination Loyalty, Sustainable Tourism
Classification and Control Strategies for Malaria, Plague, and Tuberculosis: Klasifikasi dan Strategi Pengendalian Malaria, Wabah, dan Tuberkulosis Wisam Hasan Hadi; Mustafa Abdul kareem Mustaf; Ammar Abdulwahid Jbarah AL-Karawi; Shifaa Waleed Khaled
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10722

Abstract

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
A Comprehensive Review of Vitamin C in Autoimmune Skin Disease Management: Tinjauan Komprehensif tentang Vitamin C dalam Manajemen Penyakit Kulit Autoimun Emad M . Eltayef; Zaizafoon N. Nasif
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10731

Abstract

General Background: Autoimmune skin diseases significantly impact patients' quality of life and, in severe cases, contribute to increased morbidity and mortality. While these diseases remain incurable, management strategies improve patient outcomes. Specific Background: Vitamin C (ascorbic acid), a key antioxidant, has been recognized for its role in disease management, yet its effectiveness compared to other supplements, such as vitamins D and E, remains underexplored. Knowledge Gap: Previous studies have not comprehensively evaluated the potential of vitamin C in autoimmune skin disease management, particularly in varying delivery methods and dosage effects. Aims: This review systematically examines the role of vitamin C in treating autoimmune skin diseases, synthesizing data from peer-reviewed studies, systematic reviews, and authoritative reports. Results: Vitamin C modulates innate and adaptive immunity, enhances collagen synthesis, supports skin wound healing, and regulates inflammatory processes. However, its instability and low bioavailability pose challenges that require targeted drug delivery strategies. Novelty: Unlike prior research, this review consolidates evidence on the therapeutic potential of vitamin C, addressing its limitations and proposing integrative approaches. Implications: Findings highlight the need for optimized delivery methods and further research into vitamin C’s role in autoimmune disorders, offering a potential alternative strategy for improving disease management. Higlights: Autoimmune skin diseases affect quality of life and lack cures. Review vitamin C's role in managing autoimmune skin diseases. Vitamin C aids immunity and healing but requires optimized delivery methods. Keywords: Vitamin C, ascorbic acid, systemic lupus erythematosus, psoriasis, autoimmune skin disease, pemphigus, scleroderma, dermatomyositis, vasculitis, and vitiligo.
Lipoprotein Ratios as Biomarkers for Assessing Chronic Atherosclerosis Progression: Rasio Lipoprotein sebagai Biomarker untuk Menilai Perkembangan Aterosklerosis Kronis Abbas Mohsin Abbas; Iman H Shewael; Osama A. Mohsein
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10736

Abstract

General Background: Lipoprotein ratios are critical biomarkers for assessing chronic atherosclerosis progression, providing insights into lipid metabolism imbalances and cardiovascular risk. Specific Background: While their role in cardiovascular disease is established, their correlation with inflammatory markers in chronic atherosclerosis remains underexplored. Knowledge Gap: Limited studies have comprehensively examined the interplay between lipid dysregulation and systemic inflammation in chronic atherosclerosis. Aims: This study evaluates the significance of lipoprotein ratios as biomarkers for chronic atherosclerosis progression and their association with inflammatory markers. Methods: A case-control study at Al-Habbobi Teaching Hospital (October 1, 2024 – February 1, 2025) included 60 chronic atherosclerosis patients and 30 healthy controls. Lipoprotein ratios (LDL/HDL, TC/HDL, non-HDL cholesterol) and inflammatory markers (CRP, IL-6, IFN-γ, adiponectin, MCP-1) were analyzed using ELISA, with atherosclerosis severity assessed via intima-media thickness (IMT). Results: Patients exhibited significantly elevated BMI, smoking prevalence, hypertension, lipoprotein ratios (p < 0.001), and inflammatory markers, indicating chronic inflammation. Lipid dysregulation strongly correlated with inflammation. Novelty: This study provides novel evidence linking lipoprotein ratios with inflammatory responses, reinforcing their role as integrated biomarkers. Implications: Understanding lipid-immune interactions may improve early diagnosis, risk stratification, and targeted therapy development for chronic atherosclerosis. Highlights: Lipoprotein ratios and inflammation contribute to chronic atherosclerosis progression. Case-control study analyzing lipoprotein ratios, inflammatory markers, and IMT. Strong correlation between lipid dysregulation, inflammation, and atherosclerosis severity. Keyword: Lipoprotein Ratios, Chronic Atherosclerosis, Inflammatory Markers, LDL/HDL, Immune Response, Cardiovascular Risk
Data-Driven Modeling for Sustainable Urban Drainage Management: Pemodelan Berbasis Data untuk Pengelolaan Drainase Perkotaan yang Berkelanjutan Ismoil Xolboyevich Omonov; Dinora Olim qizi Hamdamova; Samandar Ravshan o'g'li Xamiroqulov; Samandar Raxmatullo o‘g‘li Quvondiqov
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10737

Abstract

General Background: Sustainable water and sanitation management is crucial in urban environments due to rapid urbanization and climate change, which strain underground engineering networks. Specific Background: The increasing frequency of extreme precipitation events and rising water demand necessitate advanced hydraulic modeling to optimize drainage and sewer systems. Knowledge Gap: Current methodologies lack accuracy in simulating flow dynamics, sediment accumulation, and energy losses in complex drainage networks, largely due to infrequent and costly CCTV inspections. Aims: This study aims to enhance hydraulic modeling accuracy by integrating real-world measurements with numerical simulations to assess system performance, optimize drainage efficiency, and mitigate flooding risks. Results: The findings highlight that pipe roughness, sediment deposition, and biofilm accumulation significantly alter hydraulic conditions over time. Regular monitoring and adaptive drainage designs are essential for improving system resilience and reducing maintenance costs. Novelty: This research underscores the importance of multi-purpose collectors and introduces a data-driven approach to drainage management, addressing limitations in existing models. Implications: The study provides critical insights for urban planners and engineers, advocating for smart sensor integration and predictive analytics to enable real-time monitoring and sustainable infrastructure development. Future research should incorporate climate projections and IoT-based monitoring for enhanced urban resilience. Highlights: Challenge: Urbanization and climate change strain drainage and sewer systems. Solution: Integrating real-world data with simulations improves hydraulic modeling accuracy. Impact: Smart sensors and predictive analytics enhance drainage efficiency and resilience. Keywords. Precipitation, sewerage, urbanization, cable network, pipeline, drains.
Analysis of Safari Tourism Development Opportunities in Kashkadarya Region: Analisis Peluang Pengembangan Pariwisata Safari di Wilayah Kashkadarya Ro‘ziyev Bobir Akramovich
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10739

Abstract

General Background: Tourism is a crucial driver of economic growth, particularly in emerging destinations. Specific Background: The Kashkadarya region of Uzbekistan has significant potential for safari tourism, yet infrastructure gaps and sustainability challenges persist. Knowledge Gap: Despite increased tourist arrivals and revenue, there is limited research on the socio-economic impact of tourism and strategies for sustainable development in Kashkadarya. Aims: This study evaluates the socio-economic impact of tourism and explores the development potential of safari tourism in the region. Results: A mixed-methods approach, including statistical analysis (2017–2024), interviews with stakeholders, and field surveys of 1,564 tourism sites, revealed a 65% rise in tourist arrivals (2.54 million in 2024) and a tenfold increase in foreign currency revenue ($105.8 million). However, infrastructure disparities, limited eco-friendly transport, and uneven lodging distribution remain challenges. Novelty: The study proposes a framework integrating infrastructure modernization, eco-innovation, and community engagement to enhance sustainable tourism development. Implications: Findings highlight the need for equitable infrastructure investment, environmental sustainability, and stakeholder collaboration to position Kashkadarya as a leading safari tourism destination in Central Asia. Future research should explore agro-tourism and digital nomadism to further diversify the regional tourism economy. Highlights: Issue: Tourism growth in Kashkadarya faces infrastructure and sustainability challenges. Findings: Tourist arrivals +65%, revenue ×10, but infrastructure gaps persist. Solution: Modernization, eco-innovation, and community engagement for sustainable tourism. Keywords: Safari tourism, Kashkadarya region, tourism infrastructure, socio-economic development, sustainable tourism, Uzbekistan
Developing a Prediction Model to Identify Blood Types Most Susceptible to Viral Hepatitis Based on the CRISP-DM Methodology: Mengembangkan Model Prediksi untuk Mengidentifikasi Golongan Darah yang Paling Rentan terhadap Virus Hepatitis Berdasarkan Metodologi CRISP-DM Esraa Hameed Kamel
Academia Open Vol. 10 No. 1 (2025): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.10740

Abstract

General Background: Viral hepatitis is a prevalent disease worldwide, with hepatitis B and C posing significant public health challenges. While most cases resolve naturally, chronic infections contribute to severe complications. Specific Background: Genetic predisposition, including blood type, has been hypothesized as a risk factor for viral hepatitis; however, its role remains unclear. Knowledge Gap: Limited studies have analyzed the association between ABO blood groups and susceptibility to hepatitis B and C using machine learning techniques. Aims: This study aims to determine the blood groups most susceptible to hepatitis B and C by applying advanced machine learning models. Results: Using a dataset of 500 patients and CRISP-DM methodology, the findings indicate that blood type B has the highest susceptibility (38% infection rate), while type O shows the lowest risk (15%). Statistical analysis (Chi-square, p < 0.01) confirms a significant correlation between blood group B and hepatitis infection. The XG-Boost model achieved the highest predictive accuracy (91%), identifying blood type B as the second most influential risk factor after age. Novelty: This study provides empirical evidence linking genetic factors, particularly blood type B, with hepatitis susceptibility using data-driven approaches. Implications: The findings highlight the importance of blood type screening in high-risk populations and the necessity of targeted prevention strategies. Highlights: Blood type may influence susceptibility to hepatitis B and C. Blood type B shows highest risk; XG-Boost model achieves 91% accuracy. Blood type screening aids early detection and targeted prevention strategies. Keyword: Random Forest algorithm, Hepatitis B and C, KNN algorithm, Blood Groups, Decision Tree algorithm, support vector machine algorithm ,XG-Boost algorithm, neural network algorithm.

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