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INDONESIA
Multidisciplinary Indonesian Center Journal
Published by PT. Jurnal Center Indonesia Publisher
ISSN : 30322472     EISSN : 30322472     DOI : https://doi.org/10.62567/micjo
Core Subject : Religion, Humanities, Science, Education,
Religion Humanities Earth & Planetary Sciences Education Other
Multidisciplinary Indonesian Center Journal (MICJO) adalah Jurnal multidisiplin yang membahas dan mengkaji semua disiplin ilmu, seperti: - Humaniora - Ilmu sosial - IPA - Ilmu hukum - Ilmu pendidikan, - Ilmu agama - Ilmu bahasa - Filsafat, - Teknik - Bisnis - Ekonomi - Manajemen - Teknologi informasi - Informatika - Ilmu kesehatan - Keperawatan - Kebidanan - Kedokteran - Pengabdian Masyarakat
Arjuna Subject : Umum - Umum
Articles 1,104 Documents
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DIGITAL HEALTH COMPETENCE AND HEALTHCARE SERVICE PERFORMANCE AMONG HEALTHCARE PROFESSIONALS IN SAUDI ARABIA Ali Mohammed Albeah; Hafizah Che Hasan
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 3 (2026): Vol. 03 No. 3 Mei - Juli 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i3.2512

Abstract

Digital transformation in healthcare services has significantly changed how healthcare professionals deliver clinical care, particularly in technology-based tertiary hospitals. Digital Health Competence (DHC) has become a crucial factor determining service effectiveness, clinical decision quality, and operational efficiency in modern healthcare organizations. This study aims to analyze the influence of digital health competence on healthcare service performance at King Abdullah Medical City (KAMC), Saudi Arabia, with work engagement as a mediating variable and organizational support as a moderating factor. This study employed a quantitative cross-sectional design. The sample consisted of 312 healthcare professionals at KAMC selected through stratified random sampling. Data were collected using a Likert-scale questionnaire ranging from 1 to 5 and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The findings revealed that digital health competence had a positive and significant effect on healthcare service performance (β = 0.412; p < 0.001). Digital competence also significantly influenced work engagement (β = 0.528; p < 0.001), while work engagement mediated the relationship between digital competence and healthcare service performance (β = 0.216; p < 0.001). Furthermore, organizational support strengthened the relationship between digital competence and work engagement. These findings indicate that digital competence not only improves service efficiency and quality but also functions as a psychological resource that enhances healthcare professionals’ motivation and dedication. Practically, the study provides important implications for hospitals in improving healthcare professionals’ digital competence through continuous training, the development of user-friendly digital systems, and adaptive organizational support.
THE INFLUENCE OF DIGITAL HEALTH COMPETENCE ON HEALTHCARE SERVICE PERFORMANCE AT KING ABDULLAH MEDICAL CITY, 2026: A QUANTITATIVE APPROACH USING STRUCTURAL EQUATION MODELING (SEM-PLS) Ali Mohammed Albeah; Hafizah Che Hasan
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 3 (2026): Vol. 03 No. 3 Mei - Juli 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i3.2513

Abstract

Digital transformation has fundamentally reshaped healthcare service delivery worldwide, particularly in tertiary hospitals that rely heavily on integrated digital systems such as Electronic Health Records (EHRs), telemedicine, clinical decision support systems, and data-driven healthcare technologies. Despite rapid technological advancement, limited empirical evidence explains how healthcare professionals’ digital competence contributes to healthcare service performance within the context of healthcare transformation in Saudi Arabia. Previous studies have primarily focused on technological adoption or technical outcomes, while the psychological and organizational mechanisms underlying digital healthcare performance remain underexplored. Drawing upon the Job Demands–Resources (JD-R) Theory and Resource-Based View (RBV), this study investigates the influence of Digital Health Competence (DHC) on Healthcare Service Performance (HSP), examining the mediating role of Work Engagement (WE) and the moderating role of Organizational Support (OS). This study employed a quantitative cross-sectional explanatory design using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Data were collected from 312 healthcare professionals at King Abdullah Medical City (KAMC), Saudi Arabia, selected through stratified random sampling. The study included physicians, nurses, pharmacists, and allied healthcare professionals actively utilizing digital healthcare systems in clinical practice. Measurement instruments were adapted from internationally validated scales, including the European Digital Competence Framework for Health Professionals, Utrecht Work Engagement Scale (UWES), and Perceived Organizational Support Scale. Data analysis included assessment of the measurement model, structural model evaluation, mediation analysis, moderation analysis, effect size (f²), predictive relevance (Q²), and model fit indices. The findings demonstrated that Digital Health Competence had a positive and significant effect on Healthcare Service Performance (β = 0.328, p < 0.001) and Work Engagement (β = 0.541, p < 0.001). Work Engagement significantly influenced Healthcare Service Performance (β = 0.462, p < 0.001) and partially mediated the relationship between Digital Health Competence and Healthcare Service Performance (β = 0.250, p < 0.001). In addition, Organizational Support significantly moderated the relationship between Digital Health Competence and Work Engagement (β = 0.217, p < 0.001). The structural model demonstrated substantial explanatory power (R² HSP = 0.683) and satisfactory predictive relevance. This study contributes theoretically by extending the application of JD-R Theory and RBV within the context of digital healthcare transformation in tertiary hospitals. The study proposes an integrated model demonstrating that digital competence functions not only as a technical capability but also as a strategic personal resource that enhances work engagement and healthcare service quality. Practically, the findings emphasize the importance of strengthening digital competency development, supportive organizational climates, and adaptive digital infrastructures to improve healthcare professionals’ performance and accelerate sustainable healthcare transformation in Saudi Arabia.
HUMAN RESOURCE MANAGEMENT STRATEGY IN FACING DIGITAL TRANSFORMATION IN INDONESIAN EDUCATIONAL AND PROFESSIONAL DEVELOPMENT INSTITUTIONS Imas Imas; Andi Tarlis; Pangestu Tirto Santoso; Lilis Suharti; Leonita Maharani; Yulina Astuti
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 2 (2026): Vol. 3 No. 2 Edisi April 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i2.2521

Abstract

This study aims to analyze human resource management strategies in facing digital transformation at the Indonesian Institute of Education and Professional Development. Digital transformation presents a challenge for organizations in improving service quality, work effectiveness, and human resource capabilities in adapting to technological developments. Therefore, appropriate human resource management is necessary for organizations to adapt to changes in digital-based work systems. This study used a qualitative research method with a descriptive approach. The results show that human resource management strategies in facing digital transformation are implemented through training and development of employee digital competencies, work mentoring, strengthening leadership, and implementing technology-based work systems. Digital transformation has a positive impact on work effectiveness, accelerating administrative processes, facilitating communication, and improving the quality of organizational services. However, this study also found several obstacles, such as limited digital capabilities of some employees, differences in levels of technological understanding, and resistance to changing work culture from manual to digital systems.
THE EPISTEMOLOGY OF SHARAF SCIENCE: A HISTORICAL OVERVIEW AND ITS CONTRIBUTION TO ARABIC LINGUISTICS Ahmad Sirfi Fatoni; Muhammad Jamil
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 3 (2026): Vol. 03 No. 3 Mei - Juli 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i3.2528

Abstract

Arabic morphology constitutes a fundamental branch of classical Arabic linguistics, focusing on morphological word transformation (tashrif) and derivational morphology. Despite more than a millennium of development, epistemological inquiry into ilmu sharaf — concerning its sources of knowledge, methods of rule formation, and scientific validity — remains considerably limited in contemporary academic literature, with existing studies tending toward normative and pedagogical orientations that neglect its fundamental philosophical dimensions. This article aims to examine the epistemology of ilmu sharaf from the philosophy of science perspective, tracing its historical genealogy from the early Islamic codification period through to modern Arabic linguistics, and analyzing its contributions to contemporary Arabic morphology. The research employed a qualitative library research method with historical, epistemological, and comparative-linguistic approaches, utilizing critical analysis of relevant primary and secondary sources. The findings reveal that ilmu sharaf possesses a robust epistemological foundation derived from the Qur'an, hadith, classical Arabic fushah poetry, and qiyas (analogical reasoning), and was developed through the methods of sima' (documentation), istinbath (inference), and ta'lil (rational justification) by linguists of the Bashrahn and Kufahn schools. Ontologically, its subject matter is morphological word transformation that produces semantic change; axiologically, it functions to preserve Arabic linguistic purity and facilitate Qur'anic comprehension. The contributions of ilmu sharaf to modern Arabic linguistics are demonstrably significant, particularly in the development of root-and-pattern morphology theory, derivational semantics, and Arabic natural language processing (NLP). These findings indicate that the classical sharaf tradition is not merely historically relevant but also carries important methodological implications for contemporary Arabic computational linguistics.

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