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Artificial Intelligence (AI) is increasingly recognized as a transformative enabler of early disease detection, with the potential to improve diagnostic accuracy, support predictive risk stratification, and advance preventive healthcare. Despite rapid methodological progress, many existing reviews remain performance-centric, offering limited insight into generalizability, ethical governance, and real-world implementation constraints. This paper presents a narrative and integrative review with an adoption-focused, translational perspective, synthesizing recent developments in AI-driven early disease detection across oncology, cardiology, neurology, and infectious disease surveillance. Drawing on peer-reviewed literature published primarily between 2016 and 2025, the review examines reported performance gains alongside persistent limitations related to data heterogeneity, population bias, explainability, and regulatory fragmentation. Through cross-sectional synthesis, we identify three recurring gaps in prior reviews: (i) overgeneralization of AI’s diagnostic superiority, (ii) insufficient consideration of ethical and legal accountability, and (iii) a lack of actionable guidance for scalable clinical implementation. Integrating technical, ethical, and policy dimensions into a unified conceptual framework, this review demonstrates that while AI systems can consistently enhance diagnostic accuracy and early risk stratification in well-defined tasks, sustained clinical adoption depends on aligning technical performance with governance readiness, interpretability, and workflow integration. The analysis further highlights how implementation mechanisms—such as explainable AI, continuous post-deployment monitoring, and clinician-centered deployment strategies—mediate the translation of algorithmic innovation into real-world healthcare impact. Overall, this review provides a critical reference for researchers, clinicians, and policymakers seeking to translate AI innovation into safe, equitable, and trustworthy clinical practice.

This study explores the shift from traditional to modernist educational paradigms in Islamic boarding schools (pesantren), which have been in existence since before Indonesia’s independence. The shift involves adapting learning methods while retaining traditionalist approaches, ensuring that they meet modern needs without eliminating their core values. The study uses a qualitative-phenomenological approach to examine three main areas: (1) the strategy of educational values and spiritual practices employed by pesantren leaders, with an emphasis on the TAQWA method, which aims to improve student understanding quickly; (2) the integration of Qur'an literacy, religious traditions, and environmental empowerment in the educational process; and (3) the impact of this model on student character development. Qur'an literacy in this context extends beyond reading and memorizing verses, focusing on understanding and actualizing its values in daily life. Religious practices such as book study, worship routines, and etiquette coaching promote moral development. Environmental activities, such as agriculture and natural resource management, encourage independence and ecological awareness. This holistic approach can serve as a model for character education, blending spiritual, social, and environmental aspects, while strengthening pesantren's role in fostering moral and ecological awareness.

The concept of science according to Ibn Rushd emphasizes the harmony between religion and philosophy, as well as the importance of using rational thinking methods to achieve the truth. He divides human intellectual abilities into three levels, namely rhetoric, dialectical, and demonstrative, and distinguishes science into theoretical and practical sciences. According to Ibn Rushd, knowledge is obtained through cooperation between the senses, imagination, and intellect, so that the human thought process must run systematically and logically. This research uses the library research method to examine the relevance of Ibn Rushd's thought to Islamic boarding school education in the modern era. The results of the study show that Ibn Rushd's ideas can be the basis for integration between religious science and science, encourage the strengthening of students' critical reasoning, and avoid scientific dichotomy. In addition, the application of his thinking has the potential to improve the quality of learning for Islamic boarding schools to be more contextual, inclusive, and adaptive to the development of science and technology. Thus, the concept of Ibn Rushd's knowledge can strengthen the direction of pesantren education towards a holistic and civilization-oriented education system.

This study aims to examine the development of Islamic educational institutions in Indonesia from the classical to the modern era, as well as the factors influencing their transformation and strategies for strengthening them to remain relevant to contemporary needs without abandoning Islamic values. The research method used is a literature review (library research) by analyzing books, scientific journals, and official documents related to Islamic education, both nationally and internationally, published within the last five years. The findings indicate that Islamic education evolved from informal learning through majelis taklim, surau, and langgar, to the establishment of pesantren, madrasahs, and modern Islamic higher education institutions that integrate religious and general knowledge. The transformation of these institutions is influenced by local cultural factors, international scholarly networks, political pressures and colonialism, reformist figures, globalization, economic demands, social mobility, and national education policies. In the era of globalization and the Fourth Industrial Revolution, Islamic educational institutions face challenges such as technological access disparities, limited teacher competence in digital pedagogy, curriculum integration, and the risk of educational commodification. Strengthening strategies include developing integrative curricula, professionalizing teachers, utilizing digital technology, promoting media literacy based on Islamic values, developing entrepreneurship, revitalizing traditional knowledge, and enhancing alumni networks and visionary leadership. This study emphasizes that the synergy among pesantren, madrasahs, and Islamic higher education institutions forms a national Islamic education ecosystem that is adaptive, rooted in spiritual values, and capable of producing Muslim generations who are morally upright, knowledgeable, and globally competitive.

This study aims to analyze the strategies of tahfidz teachers in improving students’ Qur’anic memorization quality through a literature review approach. Memorization quality is not merely measured by the quantity of verses memorized, but also includes accuracy of recitation, fluency, consistency in muroja’ah (revision), and long-term memory retention. This research employed a literature review method by examining national and international journal articles as well as relevant academic books published between 2020 and 2025. Data were analyzed using content analysis techniques to identify themes, patterns, and research gaps related to teachers’ strategies in tahfidz learning. The findings reveal that effective tahfidz teaching strategies can be classified into four main aspects: (1) structured and consistent implementation of repetition (tikrar), (2) reinforcement of muroja’ah and periodic evaluation, (3) motivational strategies and character development, and (4) innovative learning approaches integrating collaboration and educational technology. The tikrar method is proven effective in strengthening memorization retention when supported by systematic program planning. Furthermore, intrinsic motivation, a conducive learning environment, and varied instructional methods significantly contribute to maintaining students’ memorization stability. In conclusion, improving the quality of Qur’anic memorization depends not only on repetition frequency but also on the integration of pedagogical strategies, affective-spiritual approaches, and instructional innovation. This study provides a conceptual contribution to the development of more comprehensive and sustainable tahfidz learning strategies.

The maritime education sector faces complex challenges in preparing competent seafarers amid the rapid advancement of digital technology. This study investigates the effect of artificial intelligence-based simulations and AI-based competency assessments on competency achievement levels among nautical cadets at Indonesian maritime training institutions. The research design employed a convergent parallel mixed-methods approach, integrating quantitative and qualitative methods to gain a comprehensive understanding. Quantitative data were collected from 150 cadets using a validated questionnaire. In comparison, qualitative data were obtained through in-depth semi-structured interviews with fifteen instructors and ten cadets. Multiple regression analysis revealed that the research model significantly predicted cadet competency achievement. The findings indicate that AI-based assessments exert a stronger influence than AI simulations in improving competency. The qualitative exploration highlighted adaptive feedback mechanisms and personalized learning pathways as critical success factors in implementing learning technologies. This study provides empirical evidence for maritime institutions to prioritize strategic investments in AI-based assessment systems while maintaining a human-centered pedagogy. The research contribution lies in integrating fourth industrial revolution technologies into the training, certification, and watchkeeping standards compliance framework for seafarers, thereby strengthening Indonesia's maritime education ecosystem and aligning it with international standards.

Social Studies (IPS) learning at the elementary school level plays a strategic role in shaping students’ understanding of social, cultural, and economic life, as well as national values. This study aims to analyze the differences between the 2013 Curriculum and the Merdeka Curriculum in IPS learning, including planning, implementation, the use of methods and media, and the assessment of learning outcomes. The research employed a descriptive qualitative approach with a case study, collecting data from curriculum documents, lesson plans (RPP), syllabi, classroom observations, interviews with teachers and school principals, and student questionnaires. The results indicate that the 2013 Curriculum provides a clear learning structure, detailed lesson plans, and systematic material organization that facilitates teachers, but it is less flexible and less contextualized for students. In contrast, the Merdeka Curriculum emphasizes flexibility, relevance of content to the local context, innovative methods such as project-based learning and blended learning, as well as holistic assessment focusing on critical thinking skills, social literacy, and student character. The implementation of the Merdeka Curriculum can enhance students’ learning interest, active participation, understanding of social concepts, and social awareness; however, its effectiveness depends on teacher readiness, school support, facilities, and consistency in assessment. These findings suggest that selecting an appropriate IPS curriculum should consider a balance between structure and flexibility, content relevance, teacher competence, and supporting facilities.

Islamic boarding schools (Islamic boarding schools) are required to integrate classical scholarly traditions and modern education, one way of doing this is through the integration of the study of yellow books (tahfidzul Qur'an) and Qur'an memorization (tahfidzul Qur'an). The Baitul Abidin Darussalam Wonosobo Tahfidzul Qur'an Islamic Boarding School implements an integrative learning system to balance Qur'an memorization and understanding of Islamic law (shari'a). However, it still faces obstacles such as a tight schedule, different methods, and weak coordination and evaluation. This study examines the implementation patterns, challenges, and impacts of this system, with the hope of serving as a reference for developing a balanced and sustainable model of Islamic boarding school education. This research uses a qualitative approach with a case study design to understand in-depth the implementation of the integrative learning system between Qur'an memorization and the study of yellow books (tahfidzul Qur'an) at the Baitul Abidin Darussalam Wonosobo Islamic Boarding School (PPTQ). Subjects were selected purposively, including the boarding school administrator, tahfidz teachers, yellow book teachers, and students. Data were collected through in-depth interviews, participant observation, and documentation studies. Data analysis was conducted interactively using the Miles and Huberman model, which encompasses data reduction, data presentation, and conclusion drawing and verification to obtain a holistic and contextual understanding. The discussion shows that the integrative learning system in Islamic boarding schools is implemented through a balanced daily schedule between Quran memorization and yellow book study, allowing memorization, understanding, and moral development to occur simultaneously within the students' daily routines. Integration is achieved structurally through scheduling, methodologically by linking verse memorization with book study, and culturally through the instillation of values, etiquette, and pesantren traditions. The success of integration is supported by the exemplary behavior of the kiai (Islamic teachers) and ustadz (Islamic teachers), the religious environment, and the motivation and discipline of the students, despite challenges such as busy schedules, physical exhaustion, differences in student abilities, and limited facilities. The impact of implementing this system is seen in the improved quality of contextual memorization, a more critical understanding of the scriptures, the formation of disciplined and moral character, and the holistic spiritual development of students.

A suitable and targeted marketing plan is required because of the intense competition in the retail drinking water sector. Customer segmentation using RFM (Recency, Frequency, and Monetary) analysis is one of the techniques employed. Additionally, K-Means clustering, a clustering technique based on machine learning, is employed. This study's goal is to present the findings in the form of graphs that can be used to examine consumer trends according to their attributes. With a value of 10286, the Calinski Harabaz index is a suitable metric to move on to the segmentation step in this study, which also tests three metrics using the clustering method. An ideal cluster is created for every cluster evaluation by dividing the Calinski Harabaz index into three more manageable clusters. This contrasts with other evaluation metrics that only yield two clusters. For instance, when XYZ drinking water sales transaction data was distributed, it was discovered that, out of the total drinking water sales, woodsale had 422 customers, diamond had 1061 customers, and star diamond had 2005 customers. The management of the XYZ drinking water company and other marketing fields are expected to encounter more intense competition as a result of the study's findings.

Schools are formal educational institutions that play a crucial role in transferring knowledge and shaping students' cognitive, psychomotor, and character development systematically and responsibly. While the "school of life" is often defined as a non-formal learning space, formal schools retain a strategic position because they provide a clear ontological, epistemological, and axiological framework, including in the formation of students' character and self-concept. However, the reality on the ground shows that labeling practices are still prevalent in the school environment, both by teachers and fellow students, which negatively impact students' psychological, emotional, social, and self-concept. Negative labels such as stupid, lazy, naughty, or physical and social labels have been shown to cause "invisible wounds" that affect students' self-esteem and functioning in the long term. This study uses qualitative methods through a literature review to examine the phenomenon of labeling and its impact on the formation of students' self-concept within the framework of Christian Character Education. The results of the study indicate that Christian Character Education, which is based on the values ​​of love, acceptance, and respect for human dignity as God's creation, has a strategic role in restoring the self-concept of students affected by labeling. Christian character education not only instills moral and ethical values, but also builds students' inner and spiritual resilience so that they are able to interpret themselves positively, regardless of the negative labels they receive.

This study aims to analyze the underlying causes of low interest in Arabic language learning and to formulate pedagogical solutions through the integration of Contextual Teaching and Learning (CTL), Cooperative Learning, and the PAKEM (Active, Creative, Effective, and Joyful Learning) framework. Adopting a descriptive qualitative approach with a library research method, this study critically analyzes data to identify epistemological, affective, and pedagogical barriers in Arabic instruction, while exploring the potential interventions of the three aforementioned strategies.The findings indicate that the decline in student interest is primarily driven by material abstraction, language anxiety, and passive instructional methods. The integration of these three strategies offers a complementary and holistic solution: CTL addresses cognitive barriers by contextualizing material into meaningful learning experiences; Cooperative Learning mitigates affective obstacles by fostering psychological safety through peer support; and PAKEM overcomes motoric-engagement barriers by stimulating joyful, active participation. The synergy of these strategies effectively shifts the instructional paradigm from passive-instructional to active-participatory, fundamentally reconstructing and enhancing student engagement and interest in Arabic language acquisition.

This study aims to analyze the use of digital media in the form of infographics to improve student learning outcomes in history lessons, specifically regarding the events of the national movement in the 11th grade students of SMA Muhammadiyah 07 Serbelawan in the 2024/2025 academic year. Along with technological advancements, the use of digital media is becoming increasingly popular in education as an alternative to improve student understanding and learning interest. One form of digital media used is infographics, which can simplify complex information into easier-to-understand information through engaging visual elements. The research method used was classroom action research (CAR), implemented in two cycles, with the stages of planning, implementation, observation, and reflection. The subjects of this study were 30 11th grade students of SMA Muhammadiyah 07 Serbelawan. Data collection techniques were conducted through tests, observations, and interviews. Data analysis was conducted using quantitative and qualitative descriptive analysis. The results showed that the use of infographics in history lessons can improve student understanding and learning interest. Improved student learning outcomes were evident in improved test scores after the use of infographics, as well as increased student active participation in class discussions. Furthermore, students also responded positively to the use of this digital media because infographics presented information in a more engaging and easy-to-understand manner. Based on the results of this study, it can be concluded that the use of digital media in the form of infographics can be effective in improving students' history learning outcomes, particularly in understanding the material on the national movement. Therefore, it is recommended that history teachers consider using infographics in their lessons to improve the quality of teaching and student learning outcomes.

Learning to read the Al-Qur'an at TPA Al-Amin Brahu Ponorogo still relies on conventional methods, which lead to low motivation and boredom among students. This study aims to design and develop interactive learning media based on Augmented Reality (AR) through the AR-Iqro' Jilid 5 application on the Android platform. The development method employed is the System Development Life Cycle (SDLC) using the Waterfall model, which encompasses the stages of planning, design, implementation, testing, and maintenance.The results of the study indicate that the application performs exceptionally well, with material validation reaching 96%, media design at 96%, and user testing at 97%. These findings prove that the AR-Iqro' Jilid 5 application is highly feasible for use due to its ease of navigation and intuitive visual interface. The implication of this research is the availability of an innovative alternative learning medium capable of increasing students' interest in learning the Al-Qur'an, with the potential for broader implementation in technology-based Islamic educational institutions.

This study aims to evaluate the implementation of the At-Turats Book Study Program using the Context, Input, Process, and Product (CIPP) evaluation model to provide an overview of the program’s relevance, resource readiness, implementation, and outcomes. The research method used is descriptive qualitative, with data collection techniques through observation and interviews. The results show that in terms of context, the study of classical texts meets the needs of the santri and aligns with the vision of Ma’had Al-Jami’ah, which aims to deepen religious and cultural understanding. In terms of input, the program is supported by qualified instructors and representative classical reference books, although there are still limitations in the number of teachers, the varying abilities of the santri, and supporting facilities. Regarding the process, the study is carried out using the halaqah method with a bandongan approach, which is relatively consistent, although the participation and interaction of the santri are limited. Some santri are still hesitant to engage actively in discussions, which can reduce the effectiveness of learning. In terms of product, the program has a positive impact, including an improvement in religious understanding, the development of more moderate and tolerant religious attitudes, and enhanced ability to comprehend classical texts among some of the santri. Overall, the program has achieved its main objectives but still requires improvement in terms of facilities and interaction during the learning process.

This study aims to examine the role of mathematics education in building numerical literacy in elementary schools, as well as strategies that can be implemented to enhance students' numerical skills. Numerical literacy is a fundamental skill needed by students to understand, interpret, and use numerical information in daily life. The research method used is library research, reviewing various related literature, including books and recent scholarly journals in the field of mathematics education. The results show that the integration of technology, the use of contextual approaches, and collaborative learning are effective strategies in improving students' numerical literacy. Technology helps simplify the understanding of abstract concepts, while contextual and collaborative approaches make mathematics more relevant and applicable. The implications of these findings are the need for further development in teacher training to integrate technology in teaching and the importance of involving students in more interactive and contextual learning processes. This study also suggests further evaluation of the implementation of these strategies in various educational settings.

This community service program aimed to strengthen national insight and soft skills among ADik scholarship students through a participatory and reflective mentoring approach. Many students come from underdeveloped, frontier, and outermost regions with diverse socio-cultural backgrounds, requiring contextual guidance to internalize national values and develop essential interpersonal competencies. The program combined interactive socialization, group discussions, and value reflection activities to encourage active participation and personal engagement. The method emphasized dialogic learning rather than one-way lectures, allowing students to relate national values to their lived experiences. The findings revealed noticeable behavioral changes, including increased confidence in expressing opinions, stronger participation in discussions, improved communication skills, and heightened awareness of ethical conduct and financial responsibility as scholarship recipients. The emergence of several students as informal local leaders during discussions indicated early signs of social transformation at the individual level. This program demonstrates that reflective and participatory mentoring can effectively foster character building, leadership, and contextual national awareness among university students. The implications suggest that similar approaches can be adopted in student development programs to promote sustainable character formation, especially for students from diverse and remote regions.

The increasing sedentary lifestyle in the digital era has the potential to cause various health problems due to lack of physical activity. One approach that can be taken to encourage physical activity is through the use of digital games with body movement-based control mechanisms. This study aims to develop a body gesture-based game character control system using a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model. CNN is used to extract spatial features from each video frame, while LSTM serves to model the temporal relationship between frames so that movement patterns can be recognized sequentially. The research method used refers to the Machine Learning Lifecycle stages, starting from data collection, preprocessing, model development, to implementation in the endless runner game genre. Testing results show that the CNN–LSTM model is capable of classifying body gestures and generating outputs that can be used as commands to control game characters. The implementation of this system enables more natural and interactive game interactions without conventional input devices, and has the potential to encourage players to lead a more active lifestyle.

This research is motivated by the importance of phrase analysis in syntactic studies for understanding the structure and relationships among components within Indonesian sentences. As grammatical units, phrases play a strategic role in shaping meaning, so they should be examined in terms of their constituent elements and their functions in the text. This study aims to analyze the use of adjectival phrases and prepositional phrases found in news texts. The method used is a qualitative descriptive method with observing and note-taking techniques, supported by a syntactic theoretical approach. The findings show that there are twenty-five adjectival phrases and sixty-eight prepositional phrases identified in five news texts published on Tempo.com in August 2025. “lebih cepat” is one example of an adjectival phrase found in the texts, while “ke arah pendemo” is an example of a prepositional phrase. These findings indicate that Indonesian phrases have systematic formation patterns and complementary syntactic functions. This research serves as a useful reference for the development of syntactic studies, linguistic learning, and the analysis of phrase usage in various language contexts.

The rapid development of information technology has pushed the dissemination of news through online media, demanding a language that is fast, concise, and informative to ensure accurate news delivery. This necessity positions the syntactic structure, particularly the phrase, as a critical element in determining the quality and communication effectiveness of digital news. This study has a dual objective: to comprehensively identify and analyze the types of phrases found in five online news articles published by CNBC Indonesia in August 2025, and to elucidate the grammatical function of each phrase  within the context of news sentences. The method employed is a descriptive qualitative method, involving a systematic process of reading, noting, and accurately analyzing the textual data repeatedly. The results indicate a diversity  of phrase types, with a significant dominance of  noun and verb phrases. The findings also include adjectival, prepositional, adverbial, numerical, exocentric, and endocentric phrases, which collectively enrich the linguistic structure, enhance information richness, and greatly facilitate reader comprehension of the news content. These findings not only highlight the specific patterns of phrase usage in digital news writing but also provide deep insights into their structural and grammatical roles. This study is expected to serve as a valuable reference for linguistic research and language learning, as well as offering practical guidance for online media practitioners to continuously improve the clarity, effectiveness, and quality of news writing in the digital realm.

Open-pit mining activities in Indonesia contribute significantly to the national economy but require stringent monitoring to mitigate environmental degradation. Conventional monitoring methods relying on terrestrial surveys are often constrained by vast coverage areas, high operational costs, and limited field accessibility. This study aims to develop an artificial intelligence model capable of automatically detecting and mapping mining areas to enhance surveillance efficiency. The applied method is Deep Semantic Segmentation utilizing the U-Net Convolutional Neural Network (CNN) architecture. The model was trained using Sentinel-2 satellite imagery, focusing exclusively on Red, Green, and Blue (RGB) spectral channels to replicate human visual perception. Experimental results demonstrate that the proposed model performs reliable segmentation of mining areas, achieving an Accuracy of 93.58% and a Global Intersection over Union (IoU) of 0.8067. These findings indicate that the U-Net architecture can effectively extract spatial features of mines even when utilizing standard visual data. This research contributes to the development of an efficient, cost-effective, and scalable digital monitoring prototype to support innovation in sustainable environmental governance.