Abstract:The development of digital technology has influenced the learning preferences of students at the elementary level, including in the context of Islamic education. Intensive use of gadgets presents both challenges and opportunities…
rtunities in strengthening Quranic literacy. This study aims to analyze and describe teachers' strategies in managing students' digital preferences to strengthen Quranic literacy at Madrasah Ibtidaiyah Nurul Falah Majalaya - Karawang. The study used a qualitative approach with a case study type. Data were collected through participatory observation, in-depth interviews, and documentation studies, then analyzed interactively through data reduction, data presentation, and drawing conclusions. The results show that teachers' strategies are implemented through three main approaches: digital media integration in Quranic learning, literacy habits based on school culture, and collaboration with parents in supervising gadget use. Teachers direct the use of Quranic applications and audio-visual media in a controlled manner so that students' digital preferences are shifted to educational activities. The culture of morning literacy and intensive communication with parents strengthens the continuity of strategies at school and at home. The implications of this research emphasize the importance of redefining the role of teachers as adaptive and contextual managers of digital preferences in Islamic education. These findings contribute to the development of Qur'anic pedagogical practices that are responsive to the dynamics of the digital era.
Abstract:The development of artificial intelligence (AI) technology, especially deep learning, has made significant contributions in various fields, including the world of education. In the context of Islamic Religious Education…
(PAI), the biggest challenge today is how to deliver teaching materials effectively, adaptively, and relevant to the development of the times and the characteristics of the digital generation. Deep learning implementations offer a variety of opportunities to support a more personalized, interactive, and efficient learning process. Through an algorithm-based approach, deep learning is able to process student learning data to provide a learning experience tailored to individual learning styles. The application of this technology also allows for automatic assessment of students' understanding through text, voice, and expression analysis, so that teachers can focus more on providing character development and spiritual values. On the other hand, the use of AI-based chatbots and intelligent assistants can facilitate discussions and consultations about Islamic teachings instantly and factually. The methodology used in this study is a descriptive qualitative study with a literature study and case study approach. Data were collected through a review of national and international scientific literature and focused observations on the practice of AI implementation in several madrassas and Islamic schools in Indonesia. The analysis was carried out thematically by identifying patterns, opportunities, and challenges of applying deep learning in PAI learning. The results of this study are expected to make a scientific contribution to the development of technology-based Islamic education in the digital era.
Abstract:The aim of this research was to investigate: (1) the application of the Community Language Learning (CLL) model on students’ speaking competence, (2) the students’ speaking competence before and after the implementation…
ion of the CLL model, and (3) whether there is a significant effect of the CLL model on students’ speaking competence. The population of this study consisted of 248 tenth-grade students at SMA Negeri 5 Padangsidimpuan. Using systematic sampling, a total of 35 students were selected as the sample. This research employed an experimental method. Data were collected through observation and speaking tests, and the results were analyzed using a paired-sample t-test. The findings revealed that the application of the CLL model on students’ speaking ability scored 3.6, categorized as “Very Good”. The students’ mean speaking score before the implementation of CLL was 78.51 (“Good”), which increased to 83.42 (“Very Good”) after the treatment. The t-test calculation yielded a t-value of 7.15, which exceeds the critical t-value of 2.03 at a 5% significance level (df = 35). Therefore, it is concluded that there is a statistically significant effect of the Community Language Learning model on students’ speaking competence among tenth-grade students at SMA Negeri 5 Padangsidimpuan.
Abstract:PayLater services are one of the rapidly growing digital financial innovations widely utilised in fintech apps in Indonesia, including Kredivo and Akulaku. User reviews on the Google Play Store reflect a range of experiences,…
nces, from satisfaction with the ease of use of the service to complaints regarding bills, interest rates, late payment fees, credit limits, and app performance. This study aims to classify the sentiment of user reviews regarding PayLater services on the Kredivo and Akulaku apps using the Multinomial Naïve Bayes algorithm. Data was collected via web scraping from the Google Play Store and automatically labelled based on user ratings, with ratings of 1-2 classified as negative sentiment and ratings of 4-5 as positive sentiment, whilst a rating of 3 was excluded as it was considered ambiguous. Following a preprocessing stage comprising cleaning, case folding, tokenisation, stopword removal, and stemming, as well as feature extraction using TF-IDF, 3,652 reviews were obtained with a training-to-test data split ratio of 80:20. The results indicate that positive sentiment dominates the dataset at 56.49%, whilst negative sentiment accounts for 43.51%. Analysis by application revealed that Kredivo was dominated by positive sentiment (68.20%), whilst Akulaku was dominated by negative sentiment (51.70%). The Naïve Bayes multinomial model achieved an accuracy of 84.13%, with average precision, recall, and F1-score values of 0.84, demonstrating good and balanced classification performance across both sentiment classes.
Abstract:This research comprehensively analyzes the glass industry development policy on Rempang Island, Batam City, Riau Islands Province, using an environmental risk mitigation approach. Employing a descriptive qualitative method…
od with a case study design and library research, this study examines five main dimensions: the chronology of the Rempang Island case, policy conflicts and controversies, the government regulatory framework, disaster risk analysis from nine environmental perspectives, and overall policy evaluation. The findings reveal that the Rempang Eco City project, designated as a National Strategic Project (PSN) through Permenko for Economic Affairs Number 7 of 2023, triggered prolonged agrarian conflict due to the absence of meaningful participation from indigenous Malay communities who have inhabited 16 ancient villages on the island since 1834. The project implementation was marked by forced evictions, repeated acts of violence, and non-transparent environmental impact assessment (AMDAL) processes. Disaster risk analysis from nine environmental perspectives covering air quality, water quality, coastal and marine ecosystems, sand mining and geological degradation, biodiversity, community health, social-cultural impacts, climate change vulnerability, and environmental governance consistently produces high-risk assessments, affirming that Rempang Island as a small island ecosystem lacks adequate carrying capacity for large-scale glass industrial development without permanent and irreversible ecological damage. Although Presidential Regulation Number 12 of 2025 de facto removed Rempang Eco City from the list of 77 National Strategic Projects under President Prabowo Subianto’s administration, the absence of an explicit revocation of Permenko Number 7 of 2023 creates ongoing legal ambiguity for affected communities. This research concludes that Indonesia urgently requires fundamental reform in its investment-based development policy paradigm, encompassing strengthened indigenous community participation mechanisms, elevation of AMDAL as a non-circumventable legal requirement prior to investment designation, and application of the ecological precautionary principle in small island development.
Abstract:This study aims to analyze the concept and application of hospital criminal liability in cases of medical malpractice in the Indonesian criminal law system, as well as examine the relationship between the individual responsibility…
onsibility of medical personnel and the responsibility of hospital institutions. This study uses a qualitative approach with case study methods and a juridical-normative approach enriched with empirical data. Data was collected through in-depth interviews with legal practitioners, medical personnel, and hospital managers, accompanied by a documentary study of laws and regulations, court rulings, and related literature. The results of the study show that criminal liability in cases of medical malpractice is generally still focused on individual medical personnel as direct perpetrators, while the accountability of hospital institutions has not been optimally applied in criminal law enforcement practices. In addition, it was found that there is a complex relationship between the professional responsibilities of medical personnel and the institutional obligations of hospitals in ensuring health service standards, including aspects of supervision, risk management, and medical service systems. This study concludes that it is necessary to strengthen the concept of corporate criminal liability for hospitals in cases of medical malpractice in order to create legal certainty and more balanced protection for patients, medical personnel, and health service institutions. The findings of this study contribute to the development of health law studies and become a basis for consideration for policymakers in formulating more effective regulations and law enforcement mechanisms.
Abstract:In the era of artificial intelligence (AI), the rise of pornographic deepfakes poses a serious threat to human dignity, privacy, and social stability. This phenomenon exploits deep learning technology to manipulate individuals’…
iduals’ faces into non-consensual pornographic content, often targeting women and public figures. This paper examines the ethics of Ibn Miskawayh, a 10th-century Muslim philosopher, specifically the concept of hifz al-nasl (preservation of lineage) as one of the five maqasid al-shari’a (Islamic principles), to address this issue. Hifz al-nasl emphasizes the protection of human lineage, including family honor, women’s dignity, and social integrity, which are relevant to the psychological damage, trauma, and moral degradation caused by deepfakes. Through an analysis of the texts Tahdhib al-Akhlaq and Al-Fauz al-Asghar, this concept is outlined as a preventive and curative principle: prevention through strengthening individual morals and regulating technology, and treatment through restorative justice. Ibn Miskawayh combines Aristotelian philosophy with Islam, making hifz al-nasl a collective obligation to maintain the balance of the soul (nafs) and society. Its applications to deepfakes include: (1) ethical use of AI based on piety and ‘adl; (2) legal regulations that protect privacy as an extension of preserving lineage; and (3) moral education to build digital resilience. This study concludes that Ibn Miskawaih’s approach offers a holistic framework, integrating spiritual, ethical, and legal dimensions, that is more adaptive than technological solutions alone. Recommendations include the development of contemporary fatwas and ethical AI platforms for the digital age.
Abstract:This service-learning activity was conducted to address the challenges faced by the local business Rumah Madu in Melaka, Malaysia, specifically in maintaining product authenticity, developing innovation, and strengthening…
g branding strategies amidst global market competition. The solution implemented involved a service-learning approach through instructional sessions and direct observation with business managers to understand the production process, marketing strategies, and quality management practices. The purpose of this activity was to identify innovation and branding practices rooted in the authenticity of local products, as well as to provide academic contributions through the application of management theories in real MSME contexts. This program also contributed to the partner by preparing business development recommendations based on innovation and digital marketing. The findings reveal that product innovation utilizing local bee biodiversity, the implementation of ISO-standard quality systems, and the use of digital media have strengthened the brand image and competitiveness of Rumah Madu. This experience demonstrates that service learning serves as an effective approach in bridging academic learning with the enhancement of local business capacity in a sustainable manner.
Abstract:Children’s oral language development is a fundamental component of early literacy, classroom participation, social communication, and later academic achievement. The growing use of digital technologies in early childhood…
od and primary education has created new opportunities for supporting children’s speaking, listening, vocabulary development, storytelling, expressive language, and communicative confidence. However, the pedagogical contribution of digital technologies remains dependent on how teachers design, mediate, assess, and respond to children’s language learning. This article presents a conceptual narrative literature review that maps, integrates, and critically describes theoretical perspectives and empirical findings on the use of digital technologies in children’s oral language learning. The review draws on selected Scopus-indexed studies and relevant theoretical literature on sociocultural theory, scaffolding, pedagogical content knowledge, TPACK, digital play, professional vision, and formative assessment. The analysis identifies four major themes: digital technologies as mediational tools, teacher practices in digitally mediated oral language instruction, pedagogical and institutional challenges, and instructional responses for meaningful digital integration. The findings suggest that digital technologies such as video-recorded performance, SMART boards, e-storybooks, digital drama, robotics-based storytelling, language screening applications, and virtual interactions can support oral language development when embedded in active, dialogic, and teacher-mediated pedagogy. The review concludes that a pedagogy-first approach is needed to ensure that digital technologies are used not as isolated tools, but as resources for scaffolding, dialogue, play, feedback, formative assessment, and children’s active language participation.
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,…
dicine, 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.