Abstract:This study explores how incorporating artificial intelligence improves institutional resilience and overcomes the rigidity of conventional, data-based methods to alter financial risk management. To find patterns in AI applications,…
applications, resilience theory, and integration pathways, a qualitative systematic literature review was carried out utilizing theme synthesis in accordance with PRISMA peer-reviewed protocols. Findings show that AI techniques, machine learning for tail-risk detection, deep learning for high-frequency forecasting, and explainable AI for transparent decisions, yield up to 28% reductions in forecasting errors and halve recovery times during crises. The hybrid CNN Transformer architectures and transformer-based NLP models significantly enhance predictive accuracy and forward-looking insights. The study suggests financial institutions adopt integrated AI frameworks, invest in data quality and human–AI collaboration, and implement principle-based governance to balance innovation with fairness and stability. Limitations include reliance on published literature and limited representation of emerging AI models, warranting future longitudinal and context-specific empirical research.
Abstract:This study aims to describe the implementation of the deep learning approach in Indonesian language learning and its impact on the development of critical and reflective thinking skills of high school students in several…
al schools in Makassar City. The deep learning approach is seen as an innovative learning strategy that emphasizes high-level thinking processes, active engagement, and deep reflection on teaching materials. The research method used is descriptive qualitative with data collection techniques through observation of learning activities, interviews with teachers and students, and analysis of learning outcome documents. The results of the study show that the application of the deep learning approach contributes positively to improving the quality of learning interactions and students' metacognitive awareness. Students show high ability to identify problems, analyze arguments, draw logical conclusions, and reflect on the learning process. Deep learning-based learning also strengthens collaborative interaction patterns in the classroom and encourages students' intellectual independence. Thus, the deep learning approach is relevant to be applied in Indonesian language learning in high school to foster critical, reflective, and literacy skills in accordance with the demands of 21st century education.
Abstract:The rapid advancement of artificial intelligence (AI) offers new opportunities to enhance teaching and learning in early education. This study applies deep learning approaches to support early cognitive development among…
primary students in an Indonesian Islamic school. A hybrid Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) model was designed to analyse students’ cognitive patterns, attention, and engagement. Using a mixed-methods design, the research involved 60 students aged 8–10 at MIS Terpadu Alhijrah Bintuju. The model processed multimodal classroom data to generate adaptive feedback and personalized learning pathways. Results showed significant improvements in attention (+18%), memory recall (+22%), and problem-solving (+25%) after eight weeks of AI-assisted learning. Qualitative findings revealed higher motivation, engagement, and self-regulation. The study demonstrates that culturally aligned AI systems can effectively enhance early cognitive development and promote learner autonomy in Islamic primary education.
Abstract:Gender issues in public spaces and Muslim communities have increasingly gained attention in academic discourse due to their strong connection with social norms, cultural values, and religious interpretations that shape women's…
omen's patterns of participation. This study aims to examine the influence of gender norms and values within Muslim communities on women’s engagement in public spaces, uncover the challenges they face, and formulate recommendations based on feminist and social constructionist perspectives to promote gender equality. The research employs a Systematic Literature Review (SLR) method by tracing reputable academic databases through rigorous selection and thematic analysis. The findings reveal that Muslim women’s participation in public spaces is often hindered by patriarchal constructions, discrimination, and limited access. Nevertheless, women have developed strategies of resistance and negotiation that expand their roles. Thematic analysis identifies three main patterns: women’s representation in public spaces, gender-based social practices that impose limitations, and resistance strategies through religious reinterpretation and community activism. This article contributes to theoretical development by enriching global feminist perspectives through the lived experiences of Muslim women while also offering practical contributions in the form of inclusive and socially–religiously sensitive public policy recommendations. The implications highlight the importance of cross-cultural studies and the exploration of women’s experiences at the local community level to broaden understanding of gender equality in contemporary Muslim societies.
Abstract:This study analyzes the phenomenon of homophone pyramid language in the Lani Tribe of Papua Pegunungan, revealing that homophones in the Lani language are not merely linguistic coincidences but embody unique phonological…
patterns and semantic variations deeply connected to the tribe’s cultural and environmental context. Through descriptive linguistic analysis and field-based data collection, the study identifies several instances of lexical homophony such as tu (“door” / “road”), mayu (“rain” / “salt”), nengge (“eat” / “drink”), ngilu (“cucumber” / “snack”), eyo (“tree” / “barren”), kolee (“leader” / “older man”), abila (“pregnant” / “fat man”), and anuka (“head” / “Anuak tribe”). These examples demonstrate that meaning in the Lani language is primarily determined by contextual cues and pragmatic usage. The findings suggest that homophones in Lani function as linguistic features and cultural expressions that reflect the tribe’s perception of nature, community roles, and social identity. This research contributes to a broader understanding of Papuan linguistics and underscores the importance of preserving indigenous languages as repositories of cultural knowledge and intellectual heritage.
Abstract:The purpose of this study is to explain the Early Islamization Pattern in Southeast Asia: Its Contribution to Global Peace Efforts. This study uses the Constructive Critical History Method. This historical science is a…
a new historical science that focuses on problem solving and finding solutions to problems so that humans as historical actors can enjoy a better life in the present and in the future. This research finds that the “Pattern of Islamization of Trade and Civilizational Dialogue” is the “Early Pattern of Islamization in Southeast Asia.” This pattern took place from the end of the 7th century to the beginning of the 16th century. The agents of Islamization were Islamic traders or Islamic scholars who worked as traders. The weakness of this pattern is that it takes a long time. To achieve good results, this pattern requires the willingness and awareness of both the agents of Islamization and the indigenous population in undergoing the process of Islamization. This pattern does not have a negative impact on innocent Muslims and non-Muslims or those who live elsewhere. This pattern is carried out in a healthy and friendly manner that does not trigger cases of Islamophobia. Conclusion. This research contributes to overcoming the global impasse in addressing the crises, conflicts, wars, and disasters that emerged after COVID-19.
Abstract:Background: Mental disorders are conditions that affect a person's emotions, thought patterns, and behavior that can interfere with activities and social interactions. WHO (2022) notes that around 24 million people worldwide…
wide experience mental disorders, where more than 60% of sufferers experience self-care deficits. Self-care deficit is a condition when a person is unable to care for themselves optimally, this has a major impact on the individual's social and self-care functions, including in personal hygiene activities such as brushing their teeth. Where around 45% of patients with self-care deficits show reluctance to brush their teeth which increases the risk of oral disease and other systemic infections. Brushing teeth in patients with self-care deficits is needed to improve oral hygiene and the patient's ability to care for themselves personally. Objective: To determine nursing care from assessment to evaluation in miss Y with self-care deficits with a focus on brushing teeth. Method: The method used is the case study approach method. Results: After nursing care was carried out on miss Y with self-care deficits, it was proven to increase the miss Y's self-care ability, especially brushing their teeth. Conclusion: The act of brushing teeth is effective in increasing self-care awareness in miss Y with self-care deficits.
Abstract:This study aims to analyze the patterns, characteristics, and effectiveness of educational supervision in inclusive school settings through a systematic literature review approach. The methodology used PRISMA 2020 with a…
literature search in five international databases for the period 2021-2025, resulting in 20 high-quality articles for analysis. The findings show the evolution of supervision models from a traditional hierarchical approach to a collaborative-transformational paradigm. Four effective supervision models were identified: transformational supervision, instructional leadership supervision, collaborative supervision, and distributed leadership model. The transformational supervision model showed significant changes in teachers' attitudes toward inclusive education, while instructional leadership had a 63.7% correlation with student academic achievement. Components of effective supervision include academic aspects through curriculum and IEP adaptation, professional aspects through teacher self-efficacy development, and organizational aspects through systematic management. Internal factors such as supervisor competence and an inclusive culture, as well as external factors such as policy support, determine successful implementation. Key challenges include issues of bullying, technological barriers, and the complexity of AI integration in supervision. The study recommends developing a contextual supervision model for Indonesia, taking into account local cultural characteristics and resource availability.
Abstract:This study explores the integration of Artificial Intelligence (AI) in the development of the heritage tourism destination Taman Sari Yogyakarta. As a cultural site with rich historical and architectural values, Taman Sari…
ri has great potential to become a leading historical tourism destination through the application of modern digital technologies. This research is highly relevant in the context of the Society 5.0 era, where digital transformation and multi-stakeholder collaboration through the pentahelix model (government, academia, business sector, community, and media) are key approaches in sustainable tourism governance. The objectives of this research are: (1) to identify the potential of AI application in enhancing the attractiveness of Taman Sari as a heritage tourism site, (2) to analyze the role of local communities in the digital transformation of the destination, and (3) to formulate a structured collaborative strategy for the development of AI based heritage destinations. The research employs a qualitative method using data collection techniques including observation, in-depth interviews, and documentation. Informants included representatives from government, local communities, academia, tourism businesses, and tourists. Thematic analysis was used to interpret the data and identify patterns and meanings related to stakeholder participation and partnership.
The findings indicate that AI can serve as a tool for cultural preservation and enhancement of tourist experiences, through features such as historical chatbots and augmented reality. However, challenges remain, including limited infrastructure, low digital literacy among local communities, and weak inter-stakeholder collaboration. The study also finds that local communities have the potential to act as agents of digital literacy if actively involved in training programs and AI-based tourism management.
The research concludes that developing heritage tourism destinations like Taman Sari requires strong synergy among stakeholders through the formation of inclusive digital collaboration forums. AI technology can be a valuable medium for cultural preservation when implemented in a contextual, participatory, and sustainable manner.
Abstract:This study aims to examine and analyze communication patterns between teachers and students in the teaching and learning process at SMK Islamic Center Baiturrahman. Communication between teachers and students plays a crucial…
cial role in creating an effective and conducive learning atmosphere. This study uses a descriptive qualitative approach with observation, interview, and documentation methods as data collection techniques. The results of the study indicate that communication patterns in this school run in an open, participatory, and religious atmosphere. Teachers not only act as conveyors of information, but also as guides and motivators who establish positive interpersonal relationships with students. Factors such as teaching style, student motivation, and school environmental support influence the smoothness of communication. Effective communication has been shown to improve students' understanding of the subject matter and strengthen their character and discipline. This study concludes that good communication patterns between teachers and students contribute directly to the achievement of learning outcomes and the formation of students' character holistically.