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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 14 Documents
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Search results for , issue "vol. 12 no. 1 (2027): june" : 14 Documents clear
Needs Analysis for the Development of Microlearning-Based Chinese Reading Instruction: Analisis Kebutuhan Pembelajaran Membaca Bahasa Mandarin Berbasis Microlearning Siti Handayani; Ifan Iskandar; Yumna Rasyid
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.14805

Abstract

General Background: Reading is a fundamental competency in Chinese language learning, requiring mastery of phonetics, Hanyu Pinyin, Chinese characters, vocabulary, and text comprehension. Specific Background: University students continue to experience difficulties with Mandarin pronunciation, character recognition, and basic text comprehension, while existing instructional resources require additional audio, video, and interactive support. Knowledge Gap: Although printed and digital Chinese learning materials are available, resources integrating reading content, phonetic instruction, audiovisual media, and learning activities within an accessible format remain necessary. Aims: This descriptive quantitative study, supported by qualitative data, analyzed basic Chinese reading learning needs as a foundation for developing microlearning-based digital materials using questionnaires from 56 students and an instructor interview. Results: Major pronunciation difficulties involved initial zh (46.43%), ch (37.50%), and q (21.43%); final ü (69.64%); third tone (57.14%); and second tone (44.64%). Character recognition was difficult for 57.14% of students. Moreover, 85.71% required simple-text exercises with interactive explanations, while 71.42% required phonetic exercises. Digital learning innovation received a mean score of 4.16. Novelty: The needs analysis combines learner and instructor perspectives to specify content, media, and independent-practice requirements for microlearning-based materials. Implications: Digital materials should integrate pronunciation instruction, character recognition, vocabulary and word-class information, simple texts, audio, video, and interactive exercises in short, focused, accessible learning units. Highlights: Final ü recorded the highest pronunciation difficulty at 69.64%. Chinese character recognition was reported as difficult by 57.14% of students. Interactive simple-text practice was requested by 85.71%, while 71.42% requested pronunciation exercises. Keywords: Needs Analysis, Digital Teaching Materials, Chinese Reading, Microlearning
Erratum: Profile and Appropriateness of Antibiotic Use Among Outpatients with Respiratory Tract Infections at the Pagantenan Subdistrict Community Health Center Zakaria Zakaria; Lisa Narulita; Sufiyatin Riski Adawiyyah; Akhmad Fathir
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.15632

Abstract

This erratum provides corrections to the author information of the article “Profile and Appropriateness of Antibiotic Use Among Outpatients with Respiratory Tract Infections at the Pagantenan Subdistrict Community Health Center,” originally published in Academia Open, Vol. 11 No. 2 (2026), DOI: 10.21070/acopen.11.2026.14738. The correction includes presenting Zakaria as the author name, adding Sufiyatin Riski Adawiyyah to the author list, correcting the spelling of Akhmad Fathir’s name, and completing the authors’ professional credentials, affiliation, and email addresses. These corrections are intended to ensure accurate author attribution and appropriate metadata for citation and indexing. No changes are made to the scientific content, data, results, discussion, or conclusions of the original article. The corrected author information should be used in the article metadata and subsequent citation and indexing records. The original article is available at https://doi.org/10.21070/acopen.11.2026.14738.
Competency and Professional Development of Islamic Religious Education Teachers: Kompetensi dan Pengembangan Profesional Guru Pendidikan Agama Islam Zakiya Very Ayu Suryatina; Sugeng Solehuddin; Sopiah Sopiah; Abdul Khobir; Asnalia Rokhmah
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.14983

Abstract

General Background Teacher professionalism is central to educational quality, while digital transformation requires Islamic Religious Education teachers to combine pedagogical competence with technological adaptability and moral-spiritual responsibility. Specific Background Contemporary PAI teachers face rapid digitalization, changing social conditions, administrative burdens, unequal digital literacy, and limited access to professional training. Knowledge Gap Previous studies remain fragmented, commonly examining pedagogical or professional competence separately and providing limited integration of continuous professional development, digital literacy, Islamic values, and Society 5.0 demands within a comprehensive framework. Aims This qualitative study examines the current development of PAI teacher competence and professionalism, the factors shaping that development, and adaptive strategies relevant to contemporary education through observations, in-depth interviews, and documentation involving teachers, principals, and students. Results Four central dimensions emerged: strengthened pedagogical competence, improved digital competence, cultivation of spirituality and exemplary character, and active participation in professional learning communities and continuous professional development. Barriers included restricted training access, administrative workload, and differences in computer literacy. Novelty The study frames PAI teacher professionalism as an integrated multidimensional process combining pedagogical, professional, social, spiritual, and digital competencies. Implications Educational institutions and government agencies should provide systematic, equitable, and sustained support for digital professional development, academic culture, professional learning communities, spiritual development, and context-responsive training. Highlights: Pedagogical capability, technology literacy, spiritual exemplarity, plus continuous learning formed four central dimensions. Restricted training access, administrative workload, plus uneven computer literacy remained primary barriers. Student-centered instruction, project-based learning, authentic assessment, plus online media reflected a transformative paradigm. Keywords: Islamic Religious Education, Teachers, Competency Development.
The Judge's Ex Officio Authority in Fulfilling Wife and Child Support Rights After Divorce in the Religious Court: Kewenangan Ex Officio Hakim dalam Pemenuhan Hak Nafkah Istri dan Anak Pasca Perceraian di Pengadilan Agama Dian Maulidah; Moh. Muhibbin; Diyan Isnaeni
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.15070

Abstract

General Background Divorce generates continuing economic obligations toward former wives and children, making postdivorce maintenance a central concern in religious court proceedings. Specific Background Indonesian judges may exercise ex officio authority to determine maintenance even when it is not expressly requested, provided legal requirements and trial facts support such intervention. Knowledge Gap Previous studies have predominantly emphasized normative foundations and judicial authority, while empirical evidence concerning courtroom application, maintenance determination, implementation constraints, and the roles of judicial actors remains limited. Aims This empirical legal study examines the implementation of ex officio judicial authority in fulfilling postdivorce maintenance rights at the Malang Regency Religious Court and identifies factors shaping its application through a socio-legal approach, interviews, documentation, and legal literature. Results Ex officio authority functions as a legal protection mechanism based on trial facts, the husband’s economic capacity, the needs of former wives and children, proportionality, and child welfare. Its implementation is shaped by legal awareness, evidence of economic capacity, mediation, and judgment enforcement. Novelty The study proposes an integrated strengthening model comprising normative foundations, evidentiary reinforcement, procedural reinforcement, and judgment enforcement. Implications Religious courts should strengthen fact-finding capacity, legal aid services, mediation, and interinstitutional coordination to support the actual realization of maintenance entitlements after divorce. Highlights: Four implementation determinants emerged: legal awareness, proof of husbands’ economic capacity, mediation, and judgment enforcement. Awards depend on courtroom facts, financial ability, claimant needs, proportionality, and child welfare considerations. The proposed model integrates normative grounding, evidentiary quality, procedural coordination, and execution of decisions. Keywords: Ex Officio Judge, Maintenance Rights, Divorce.
Eustress as a Driver of Islamic Educational Organizational Performance: A Systematic Literature Review: Eustres sebagai Pendorong Kinerja Organisasi Pendidikan Islam: Tinjauan Pustaka Sistematis Nurul Ulfa Ramadhani; Sarah Fadilah Azzahra; Gunawan Abdirohman; Salfen Hasri; Sohiron Sohiron
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.15122

Abstract

General Background Islamic educational institutions in Indonesia face growing organizational pressure amid curriculum reform and broader educational change. Specific Background Existing research predominantly treats occupational stress as harmful, although positive organizational psychology recognizes eustress as a potentially constructive response to manageable demands. Knowledge Gap Research on Islamic education remains fragmented across burnout, psychological capital, stress, and performance, with no systematic synthesis positioning eustress as a positive organizational resource in this context. Aims Using a PRISMA-guided systematic literature review of peer-reviewed studies published from 2015 to 2024 and sourced from Scopus, Web of Science, and Google Scholar, this study identifies conceptual foundations, performance mechanisms, moderating factors, and a practical management model grounded in Islamic educational values. Results Three interconnected mechanisms were identified: strengthened intrinsic motivation, stronger self-efficacy, and development of an adaptive organizational climate aligned with amanah and istiqamah. Transformational-Islamic leadership and colleague support emerged as key moderators of eustress appraisal. Novelty The study proposes the School-Based Eustress Management Model, integrating psychological capital development, value-based meaning, and protective leadership and administration as a contextually grounded conceptual framework. Implications The model offers a basis for teacher development and institutional policy, but it is intended for future empirical testing rather than as a validated intervention. Highlights: Intrinsic motivation, self-efficacy, plus adaptive climate emerged as three central mechanisms. Transformational religious leadership together with colleague support moderated appraisal of constructive pressure. MMEBS integrates psychological capital, value-based meaning, plus protective administration but remains empirically unvalidated. Keywords: Eustress, Organizational Performance, Islamic Education, Work Motivation, Stress Management.
Network Traffic Classification Using Machine Learning Techniques: An Applied Flow-Based Study Nahla Flayyih Hasani
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.15227

Abstract

General Background Network data traffic rating represents a core task in modern network engineering for service quality control and bandwidth management. Specific Background Traditional approaches relying on deep packet inspection and port-based categorization face severe limitations due to the proliferation of dynamic ports and widespread encryption protocols such as TLS and HTTPS. Knowledge Gap Although automated algorithms offer alternative solutions, comprehensive applications detailing complete processing pipelines that systematically compare multiple predictive models without inspecting actual packet contents remain scarce. Aims This study designs an integrated flow-based data processing pipeline to extract nine statistical properties for categorizing six data movement classes using four distinct automated algorithms. Results Utilizing a simulated dataset of 3000 flows, experimental outcomes revealed that the aggregate tree model attained the highest precision of 97.87 percent and a macro F1-score of 97.87 percent, significantly outperforming Decision Tree, Support Vector Machine, and KNN models. Novelty This research demonstrates the explicit superiority of ensemble techniques in data categorization by identifying byte rate, mean packet length, and total bytes as the most decisive flow-level metrics, entirely independent of payload decryption. Implications Relying on extracted statistical properties presents a highly reliable methodology for managing modern encrypted infrastructures, suggesting that administrators should prioritize aggregate machine learning systems to optimize resource allocation and detect unwanted activities. Highlights: Aggregate tree models attained a 97.87 percent precision rate across six data movement categories. Payload decryption is unnecessary when utilizing statistical properties such as byte rates and packet lengths. Machine learning pipelines successfully categorized video streaming, web browsing, and voice communications without port dependency. Keywords: Machine Learning, Data Movement Categorization, Statistical Properties, Deep Packet Inspection, Decision Tree Models
The Role Of Technical Oversight In Banks In Money Laundering Operations: A Case Study At The National Bank Of Iraq Dr. Raad Zaid Alwan
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.15323

Abstract

Financial institutions face critical vulnerabilities from increasingly sophisticated financial crimes. Banking sectors globally encounter severe operational risks when detecting complex illicit fund flows through traditional surveillance frameworks. Prior research insufficiently addresses how internal technical infrastructure directly mitigates automated financial misconduct within private institutions. General Background Money laundering threatens global financial stability through increasingly complex digital networks. Specific Background Commercial banks act as primary lines of defense but face challenges due to weak supervisory technology and operational pressures. Knowledge Gap Empirical evidence evaluating how technical control systems directly influence anti-money laundering efficacy within private banking remains limited. Aims This study evaluates the statistical impact of internal technical oversight on money laundering prevention at the National Bank of Iraq. Results Regression analysis demonstrates that technical control systems exert a significant positive effect ($R^2 = 0.582, p < 0.001$) on combating illicit financial activities. Novelty The research establishes quantitative empirical metrics validating automated detection technology within Middle Eastern private banking operations. Implications Strengthening smart digital surveillance and specialized technical competencies is vital for institutional compliance and financial integrity. Keywords: Technical Oversight, Money Laundering Operations, Banking Compliance, Financial Risk, Detection Systems Key Findings Highlights Empirical regression analysis confirms a statistically significant direct impact of technical control infrastructure on mitigating money laundering operations ($R^2 = 0.582$). Advanced technical systems provide essential immediate automated alerts and identify abnormal financial transaction patterns within private banking operations. Heavy daily employee workloads and specialized personnel shortages represent critical operational bottlenecks that reduce supervisory compliance effectiveness.
Foundation Models in Medical Imaging: A Systematic Review, Taxonomy, and Future Research Agenda Roaa Ghanim
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.15324

Abstract

Medical artificial intelligence relies heavily on imaging for lesion detection and anatomical quantification, providing essential support for cancer diagnosis and treatment planning (General Background). While foundation models are rapidly transforming radiological workflows, traditional evaluations focus predominantly on technical segmentation metrics rather than clinical utility (Specific Background). Existing literature lacks a comprehensive synthesis combining model taxonomies, multi-task assessments beyond segmentation, and standardized clinical readiness appraisals (Knowledge Gap). This systematic review evaluated forty-two studies published between 2024 and 2026 across eleven databases using PRISMA 2020 guidelines and AI-specific quality frameworks (Aims). Results demonstrated high organ segmentation accuracy with Dice coefficients exceeding 0.90, whereas performance declined for infiltrative tumours, and external validation was present in only one-third of studies (Results). We propose an eight-level clinical-readiness scale and research roadmap to transition medical AI from technical benchmarks to deployment (Novelty). Standardized validation protocols are critical for advancing safe decision support (Implications). Key Findings Highlights Current medical foundation models achieve high technical precision in organ segmentation but show reduced performance in low-contrast and post-treatment lesions. Less than one-third of evaluated studies report external validation, and no interventional prospective trials currently exist. Transitioning AI to routine oncology care requires establishing standardized clinical endpoints, fairness reporting, and multi-institutional data frameworks. Keywords: Foundation Models, Medical Imaging, Tumour Quantification, Clinical Decision Support, Systematic Review
Kinetics of Compressive Strength Development of B30 Concrete Under the Effect of Chemical Admixtures Bektosh Botirov
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.15694

Abstract

General Background Compressive strength development defines the load-bearing capacity and structural performance of concrete over curing ages. Specific Background Chemical admixtures such as PKAN-55 and BAAS-MIXPLAST 140 W alter cement hydration kinetics and early-age performance. Knowledge Gap However, the precise dosage-dependent non-linear strength gain dynamics of B30 concrete modified with these specific admixtures remain insufficiently quantified across long-term ages. Aims This study investigates the compressive strength kinetics of B30 concrete incorporating PKAN-55 and BAAS-MIXPLAST 140 W at dosages from 0.6% to 1.0% up to 56 days. Results Experimental testing revealed optimum dosages of 0.7% for PKAN-55 and 0.9% for BAAS-MIXPLAST 140 W, yielding 28-day compressive strengths of 43.41 MPa and 41.55 MPa, representing strength increases of 8.47% and 3.82% over control concrete, respectively. Novelty A non-linear relationship between admixture dosage and strength development kinetics was established, showing 80–90% 28-day strength gain within 7 days. Implications These findings establish critical mix design parameters for accelerating early construction formwork removal and enhancing structural performance. Keywords : B30 Concrete, Chemical Admixture, Compressive Strength, Strength Kinetics, Optimum Dosage Key Findings Highlights Optimum dosages of 0.7% PKAN-55 and 0.9% BAAS-MIXPLAST 140 W increase 28-day compressive strength by 8.47% and 3.82%. Modified mixtures achieve 80% to 90% of their design strength within the first 7 days of curing. Exceeding optimum chemical admixture dosages causes non-linear strength reduction beyond design thresholds.
Judicial Reasoning Constructs Online Gambling as Grounds for Divorce: Alasan Hukum Menganggap Perjudian Daring sebagai Alasan Perceraian Farhan Yafi Izzudin Azmi; Saiful Ibnu Hamzah; Gandhung Fajar Panjalu
Academia Open Vol. 12 No. 1 (2027): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.12.2027.15761

Abstract

General Background: Online gambling has developed into a social issue affecting family stability and creating new challenges for legal institutions. Specific Background: In divorce cases at the Religious Court of Surabaya, judges face challenges when addressing online gambling because existing legal provisions do not explicitly regulate it as a divorce ground. Knowledge Gap: Previous studies have mainly examined the social and causal relationship between online gambling and divorce, while the construction of judicial reasoning used by judges has received limited attention. Aims: This study aims to examine how judges construct legal reasoning when using online gambling as a basis for divorce in Decision Number 1800/Pdt.G/2026/PA.Sby. Results: Using a qualitative case study combined with socio-legal studies, data were collected through interviews with a senior judge of the Religious Court of Surabaya and analysis of court documents. The findings show that judges do not merely apply legal provisions formally but develop complex reasoning involving purposive interpretation, contextualization of digital social realities, and substantive justice considerations. Maqāṣid al-syarī’ah functions as one reasoning framework supporting judicial decisions beyond literal legal texts. Novelty: This study reveals the gap between written judgments and the actual judicial reasoning process in addressing digital-era family law issues. Implications: The research contributes to understanding judicial decision-making processes in religious courts when responding to emerging digital social phenomena. Highlights: Judges apply contextual interpretation beyond formal legal provisions in online gambling divorce cases. Judicial reasoning involves legal interpretation, digital social realities, and justice considerations. Maqāṣid al-syarī’ah is used as a reasoning framework in judicial decision construction. Keywords: Legal Reasoning, Online Gambling, Religious Courts, Substantive Justice.

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