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Contact Name
Della Dwi Ayu
Contact Email
della.dwi.ayu@upnvj.ac.id
Phone
+62318945444
Journal Mail Official
notification@umsida.ac.id
Editorial Address
Jl. Mojopahit 666 B Sidoarjo, Jawa Timur 61215
Location
Kab. sidoarjo,
Jawa timur
INDONESIA
Academia Open
ISSN : -     EISSN : 27147444     DOI : 10.21070/acopen.11.2026.12985
Core Subject : 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.
Articles 2,389 Documents
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 Ali Abra Naser
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.10.2025.10874

Abstract

General 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 Arabia
Continuing Difficulties in English Teachers' Preparation for Cambridge Exams Rosarina Poppy Handayani; Endah Yulia Rahayu; Nukmatus Syahria; Nico Irawan; Komm Pechinthorn
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.10.2025.10877

Abstract

Standardized teacher assessments such as the Cambridge Teaching Knowledge Test (TKT) are increasingly used to evaluate pedagogical knowledge, yet their integration into local educational settings remains challenging. Specifically in Indonesia, elementary English as a Foreign Language (EFL) teachers face unique barriers during TKT preparation due to contextual misalignment. Despite existing studies on teacher training and assessment, limited research addresses the lived experiences of teachers navigating TKT preparation in resource-constrained environments. This study aims to explore the perceptions, challenges, and outcomes encountered by eight Indonesian EFL teachers during a six-session TKT preparation program using a narrative inquiry approach. Findings reveal minimal improvement in test readiness, largely influenced by limited preparation time, insufficient training resources, and incongruity between TKT content and local teaching realities. The novelty lies in its focus on narrative insights from in-service primary school teachers, often underrepresented in assessment literature. Implications suggest that for standardized assessments like the TKT to be effective and equitable, localized training support, contextual adaptation, and sustained mentoring are essential. This study contributes to the discourse on EFL teacher development by exposing the practical dissonance between global certification frameworks and local instructional ecosystems. Highlights: Highlights contextual barriers faced by Indonesian EFL teachers during TKT prep. Reveals misalignment between global tests and local teaching practices. Emphasizes need for localized support in standardized teacher training. Keywords: Narrative Study, Cambridge TKT Preparation, Teacher Training Challenges, EFL Test Readiness, Standardized Teacher Assessment
Forecasting Industrial Growth Using Multi-Stage Regression and Elasticity Analysis: Peramalan Pertumbuhan Industri Menggunakan Regresi Multi-Tahap dan Analisis Elastisitas Akhmadjanov Abrorbek Akbarjan ugli; Hakimov Soibjon
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.10.2025.10878

Abstract

General 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 extrapolation
High-Gain Microstrip Patch Antenna Array Using Artificial Magnetic Conductor Structures: Array Antena Patch Mikrostrip Gain Tinggi Menggunakan Struktur Konduktor Magnetik Buatan 4o Saba F. Ahmed Jaf; Amenah Edrees Kanaan
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.10.2025.10880

Abstract

General background: Microstrip patch antennas (MSPAs) are widely applied in wireless communication due to their compactness, low cost, and ease of fabrication. Specific background: Recent technological advancements have focused on enhancing MSPA performance for applications in Wi-Fi, radar, and medical implantable devices. Knowledge gap: However, optimizing antenna gain while minimizing return loss across varied array configurations and frequencies remains insufficiently explored. Aims: This study aims to design and analyze 1, 2×2, 3×3, and 4×4 MSPA arrays operating at 10 GHz and 13 GHz using the HFSS simulator, comparing their return loss and gain performance. Results: The optimized 4×4 MSPA array demonstrated a maximum gain of 14.5 dBi with a 17% radiation efficiency improvement and reduced back-lobe radiation, outperforming conventional designs. Novelty: Incorporation of artificial magnetic conductor (AMC) units into the array structure significantly enhanced gain, directivity, and front-to-back ratio while maintaining a low-profile configuration, simplifying fabrication. Implications: These findings provide a systematic approach to optimizing MSPA arrays, offering practical benefits for applications in next-generation wireless systems, radar technologies, and biomedical devices. Highlights: Optimized Design: AMC boosts gain and minimizes return loss. Broad Application: Supports Wi-Fi, radar, and medical devices. Easy Fabrication: Low-profile antenna simplifies manufacturing process. Keywords: Microstrip Patch Antenna, HFSS Simulation, Antenna Array, Artificial Magnetic Conductor, Gain Enhancement
Strengthening Small Business Labor Potential for Economic Growth in Uzbekistan: Memperkuat Potensi Tenaga Kerja Usaha Kecil untuk Pertumbuhan Ekonomi di Uzbekistan Egamberdieva Barnakhon Gulamjanovna
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.10.2025.10881

Abstract

General Background: Small businesses play a crucial role in driving economic growth, particularly in developing countries. Specific Background: In Uzbekistan, the government has prioritized small business development through various policies aimed at enhancing labor potential. Knowledge Gap: However, there is limited understanding of how labor potential within small businesses directly influences economic performance in this context. Aims: This study aims to explore the relationship between labor potential in small businesses and economic growth, focusing on Uzbekistan, using a mixed-methods approach. Results: The study finds that strategic investments in workforce development, entrepreneurial capacity, and institutional support significantly improve labor productivity, business outcomes, and contribute to national economic growth. Data from 200 businesses, 40 interviews, and case studies show the effectiveness of Uzbekistan's policies, including tax incentives and training programs. Novelty: This research provides a comprehensive analysis of how labor management and government policies impact small business success in Uzbekistan, filling a critical gap in existing literature. Implications: The findings suggest that enhanced labor skills and institutional support are key drivers of small business growth and sustainable economic development, with policy recommendations for strengthening labor potential in similar economies. Highlights: Labor potential drives small business growth and economic development. Uzbekistan’s policies support productivity through tax incentives and training programs. Workforce development is key to long-term economic sustainability. Keywords: Small businesses, labor potential, economic growth, Uzbekistan, policy support
Adjunct Constructions in Modern German: Shaping Narrative and Subjectivity in Discourse: Konstruksi Adjektiva dalam Bahasa Jerman Modern: Membentuk Narasi dan Subjektivitas dalam Wacana Namazova Nazira Yarkulovna
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.10.2025.10882

Abstract

General Background: Modern German syntax is undergoing a transformation, influenced by broader shifts in language use, with an increasing focus on subjectivity and expressiveness in written discourse. Specific Background: Among these changes, adjunct constructions have gained prominence as devices that enhance emotional nuance and communicative depth, reflecting the speaker's intentionality and facilitating pragmatic interaction with the listener or reader. Knowledge Gap: Despite their stylistic and grammatical exploration, the communicative-syntactic functions of adjunct constructions—especially in conveying the author's egocentric viewpoint and pragmatic intentions—remain underexplored. Aims: This study investigates how adjunct constructions in contemporary German function as communicative-syntactic tools, highlighting their role in shaping narrative perspective, affecting meaning, and interacting with both linguistic and extralinguistic factors. Results: The findings reveal that adjunct constructions are multifunctional elements with descriptive, expressive, and evaluative roles, enhancing the emotional and intellectual impact of texts. They support postmodern narrative features like fragmentation and spontaneity. Novelty: This research offers a fresh cognitive-communicative lens on syntax, focusing on the interaction between speaker subjectivity and reader engagement. Implications: The study contributes to linguistic theory, stylistic analysis, and German language pedagogy, advancing the understanding of pragmatics and syntax in literary discourse. Highlights: Adjunct constructions enhance emotional depth and narrative perspective. They convey the author's subjective viewpoint and pragmatics. The study explores syntax-pragmatics interaction in modern German discourse. Keywords: Modern German syntax, adjunct constructions, narrative perspective, pragmatics, emotional nuance.
Economic Transformation through Agricultural Diversification to Improve Farmers' Welfare: Transformasi Ekonomi Melalui Diversifikasi Pertanian Guna Peningkatan Kesejahteraan Petani Suprianto Suprianto; Syahfrizka Dyah Nazwa Umbara; Rieko Dita Hermawati
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.10.2025.10888

Abstract

General Background: Agricultural transformation plays a critical role in driving economic development, particularly in rural areas. Specific Background: In Indonesia, the agricultural sector remains dominated by monoculture practices, limiting income diversification and resilience among farmers. Knowledge Gap: However, limited studies have examined how agricultural diversification specifically contributes to farmers’ welfare within regional economic development frameworks. Aims: This study aims to analyze the role of agricultural diversification in transforming local economies and improving the welfare of farmers. Results: The findings show that diversification increases productivity, enhances household income stability, and fosters resilience against price and climate shocks. It also supports the growth of rural agro-industries and market accessibility. Novelty: This study uniquely integrates socio-economic indicators with regional development models to demonstrate how diversification directly contributes to sustainable livelihood strategies. Implications: The research implies that policy frameworks should prioritize diversification strategies to achieve inclusive rural development and long-term welfare improvements for agricultural communities. Highlights : Diversification boosts income stability and resilience. It links agriculture with rural industrial growth. Policy support is crucial for sustainable impact. Keywords: Agricultural Diversification, Rural Development, Farmer Welfare, Economic Transformation, Indonesia
Theoretical Foundations for Improving the Mechanisms of Attracting Innovations in Tourism Service Development: Landasan Teoritis untuk Meningkatkan Mekanisme Penarikan Inovasi dalam Pengembangan Layanan Pariwisata Shokirov Firdavs
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.10.2025.10896

Abstract

General Background: Tourism is a pivotal sector in Uzbekistan’s economic transformation, increasingly influenced by technological and structural shifts. Specific Background: Despite strategic policy efforts, empirical studies examining how innovation mechanisms shape tourism services in transitioning economies remain limited. Knowledge Gap: Prior research lacks integrated analyses of multidimensional innovation effects on tourism performance in post-Soviet and Central Asian contexts. Aim: This study investigates the impact of five innovation dimensions—digital innovation adoption, smart tourism infrastructure, cluster participation, financial access, and government support—on tourism service development in Uzbekistan from 2022 to 2024. Results: Using firm- and region-level data and a multivariate regression model, all five innovation variables significantly and positively influenced service development, as measured by tourist arrivals, satisfaction, and revenue. Digital innovation and infrastructure had the strongest effects. Novelty: The study provides a comprehensive empirical model grounded in innovation diffusion theory and tourism-specific frameworks, offering the first integrated assessment of innovation drivers in Uzbekistan’s tourism sector. Implications: The findings emphasize the need for cohesive innovation policies, digital capacity-building, and targeted financial instruments to sustain tourism growth. Policymakers should foster public-private synergies to transition towards a technology-driven, competitive tourism economy. Highlights: Digital innovation significantly boosts tourism growth and visitor satisfaction. Financial access and policy support enable service modernization. First empirical model on tourism innovation in Uzbekistan. Keywords: Tourism Innovation, Digital Transformation, Smart Infrastructure, Policy Support, Uzbekistan
The Effect of Nanoparticles on Mice Brain Tissue: Dampak Nanopartikel terhadap Struktur Jaringan Otak Tikus Wasfi Dhahir Abid Ali
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.10.2025.10902

Abstract

Nanoparticles (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
Assessment of Nurse’s Knowledge Regarding Physiotherapy for Obesity and Overweight: Penilaian Pengetahuan Perawat tentang Fisioterapi untuk Obesitas dan Kelebihan Berat Badan Firas Hadi Khalaf
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.10.2025.10903

Abstract

Obesity is a significant global health issue associated with chronic conditions such as cardiovascular disease, type 2 diabetes, and osteoarthritis. Physiotherapy is increasingly recognized as an essential component of multidisciplinary strategies for effective obesity management. However, there is limited research on nurses' knowledge and involvement in utilizing physiotherapy for obesity care. This study aimed to evaluate registered nurses’ understanding of physiotherapy in managing obesity and to identify barriers to its implementation within healthcare settings in Saudi Arabia. A descriptive cross-sectional study was conducted involving 385 registered nurses through an online self-administered questionnaire. The findings revealed that 80.5% of participants correctly identified BMI classifications for obesity, and 65.2% acknowledged physiotherapy as an effective strategy for weight management. Although 72.7% expressed positive attitudes toward physiotherapy, only 38.7% consistently referred obese patients to physiotherapy services. The primary barriers identified were lack of resources (54.5%), time constraints (46.8%), and insufficient knowledge (39.0%). This study is among the first to explore nurses’ perspectives on physiotherapy for obesity within the Saudi healthcare context. The results highlight the importance of implementing targeted educational programs and systemic support to enhance nurses’ competencies, promote effective referral practices, and improve collaborative care for better obesity management outcomes. Highlight: Nurses show high awareness of obesity risks but low referral rates to physiotherapy. Key barriers include limited resources, time constraints, and insufficient training. Emphasizes the need for targeted education to enhance interdisciplinary care. Keyword: Obesity, Overweight,, Physiotherapy, Barriers, Training and education