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This study aims to examine the historical origins and development of the sociology of education, explore the biographies and ideas of key scholars from both Islamic and Western traditions, and analyze their relevance in the context of modern education. The development of education has always been closely linked to social, political, and economic dynamics, which gave rise to the sociology of education as a discipline that investigates the relationship between education and social change. Contemporary challenges such as social inequality, the impacts of globalization and technological advancement, and the growing demand for the democratization of education require a comprehensive examination of the major sociological theories that have emerged over time. This research employs a qualitative approach using a literature review method through the analysis of relevant books and scholarly journal articles. The findings indicate that the ideas of scholars such as Ibn Khaldun, Auguste Comte, Émile Durkheim, Karl Marx, Max Weber, Herbert Spencer, George Herbert Mead, Talcott Parsons, and Ali Shariati have made significant contributions to understanding the functions, conflicts, and interactions within education. Structural functionalist, conflict, and symbolic interactionist theories provide complementary analytical frameworks for explaining education’s role as a means of social integration, an arena for the reproduction of inequality, and a space for the construction of meaning and identity. By adopting a comparative approach across different intellectual traditions, this study offers a holistic perspective for the development of the sociology of education in the modern era.

This study aims to describe the implementation of the group discussion model as a strategy to strengthen students' collaboration in Indonesian procedural text learning in Grade IV of SDN 8 Selat Penuguan. The study focuses on the implementation of group discussion, the forms of students' collaboration, the teacher's role in guiding collaboration, and the supporting and inhibiting factors in the learning process. This research employed a descriptive qualitative approach. The primary data were obtained from the teacher and Grade IV students, while supporting data were collected from learning documents. Data were gathered through observation, interviews, and documentation, and were analyzed through data reduction, data display, and conclusion drawing. Data validity was strengthened through source and technique triangulation. The findings indicate that group discussion was implemented through planning, small-group formation, procedural-text-based tasks, discussion, presentation, feedback, and reflection. The model strengthened students' collaboration through task sharing, mutual assistance, expressing opinions, listening to peers, and taking responsibility for group outcomes. The teacher acted as a learning designer, facilitator, guide, communication mediator, and evaluator of collaborative processes. Supporting factors included teacher readiness, the suitability of procedural text material, the use of worksheets, and a conducive classroom climate, while inhibiting factors included uneven student participation, limited time, differences in language competence, and the dominance of particular students in group work. The study concludes that the group discussion model is relevant for procedural text learning because it integrates material comprehension with the development of elementary students' social skills.

This study examines the role of inclusive curriculum reform in promoting educational equity within multicultural education systems. The research focuses on the interconnected roles of curriculum transformation, educational policy, and transformative leadership in fostering inclusive and socially just learning environments. Using a qualitative content analysis approach, the study analyzed scholarly articles, policy documents, educational reports, and academic literature related to multicultural education, inclusive pedagogy, leadership, and equity-oriented policies. The findings reveal that inclusive curriculum reform serves as a fundamental strategy for recognizing cultural diversity, reducing discrimination, and enhancing equal participation among students from diverse backgrounds. Furthermore, effective educational policies and transformative leadership practices were identified as essential factors in supporting sustainable inclusive educational reform. However, the study also found that the implementation of inclusive curriculum reform continues to face significant challenges, including inadequate teacher preparation, limited institutional resources, policy inconsistency, technological inequality, and sociocultural resistance

Dental caries is one of the most common oral health problems among young children. Preschool-aged children are highly dependent on their parents, especially mothers, for dental health care. A mother's level of knowledge is expected to influence the incidence of caries in children. Purpose: This study aims to determine the relationship between maternal knowledge and the incidence of dental caries among children at Qalby Play School, Bogor Regency. Method: This research employed a cross-sectional design with an analytic survey approach. The population consisted of all mothers and their children at Qalby Play School, totaling 30 participants, selected using total sampling. Data were collected using questionnaires to assess maternal knowledge and odontogram sheets to measure caries incidence. Data were analyzed using univariate and bivariate analysis with the Chi-square test. Result: The results showed a significant relationship between maternal knowledge and the incidence of dental caries in children, with a p-value 0,047 < 0,05. Conclusion: There is a statistically significant relationship between maternal knowledge and the incidence of dental caries in children. Therefore, it is important for parents, especially mothers, to pay close attention to their children's oral health by ensuring proper and regular tooth brushing and scheduling dental check- ups every six months.

Teacher performance evaluation is a crucial factor in improving educational quality, but many schools still conduct it manually and subjectively, resulting in less transparent, time‑consuming, and error‑prone outcomes. This study aims to design and develop a web‑based decision support system using the Simple Additive Weighting (SAW) method for selecting the best teacher at MTs Mambaul Ulum. The system was developed using the Waterfall model with the Laravel 12 framework and MySQL database, incorporating two evaluator roles: the principal (assessing 5 criteria: teaching hours, responsibility, mastery of material, personality, and attendance) and the vice principal (assessing 4 criteria excluding personality). Data were collected through observation, interviews, and document review. System testing employed Black Box Testing and accuracy validation by comparing system outputs with manual Excel calculations. The results show that the SAW method effectively ranks teachers objectively, with Kusyanti achieving the highest score of 0.9450. The system attained 100% accuracy, as no difference was found between manual and system calculations. Moreover, the system reduced evaluation time from days to seconds and provides well‑documented results, thus supporting more transparent and accountable decision‑making. Therefore, this system proves to be reliable, objective, and efficient in assisting school administrators in evaluating teacher performance in a structured and fair manner.

The study examines the symbolic meaning of the “Bread of Life” in John 6 through an exegetical-theological approach, using intertextual and narrative-semiotic perspectives. It uncovers the dynamics of Johannine Christological revelation, which moves from miracle as sign, through theological discourse, and culminates in the sacramental understanding of the Eucharist. The Gospel of John is read as a text that employs symbolism and patterns of misunderstanding to lead readers from a literal reading toward deeper faith in Jesus as the source of true life. In this framework, the “Bread of Life” functions not merely as metaphor but as a revelatory symbol integrating Christological, soteriological, and ecclesiological dimensions. Findings show that this symbol is rooted in Old Testament motifs such as manna, Exodus, and wisdom, reinterpreted Christologically in Jesus. The feeding miracle points beyond physical sustenance to divine revelation, culminating in the statement “I am the Bread of Life.” John 6:51b–58 intensifies this sacramental meaning, forming the basis for Eucharistic theology, where participation in Christ’s body and blood signifies existential communion with God. The study concludes that John integrates Christology and sacramental theology, portraying faith as movement from sign to reality, recognition to participation, and revelation to communion with Christ.

Based on the current existing conditions, Perumnas IV frequently experiences challenges in both the maintenance of its facilities and infrastructure and the perception of its residents. This study aims to: 1) Determine the morphology and typology of the Perumnas IV Padang Bulan area, 2) Determine the level of feasibility of the infrastructure based on SNI 03-1733-2004, and 3) Determine public perception of the infrastructure based on existing conditions and research analysis results. The research method used by the author in this study is a mixed method using an Explanatory Sequential Design approach and a comparative approach. The difference in feasibility percentages between SNI and public perceptions explains that residents have become accustomed to living with the existing facilities and infrastructure, so that the suitability between existing conditions and applicable technical requirements is not a problem in daily life.

This study examines the transformation of business education curricula in response to the rapid expansion of the digital economy. The increasing integration of artificial intelligence, big data analytics, cloud computing, and digital platforms has significantly reshaped industrial demands and professional competencies. Using a qualitative research approach and content analysis, this study explores the challenges and strategic opportunities associated with curriculum transformation in higher education institutions. The findings reveal that universities face critical challenges related to technological infrastructure, faculty readiness, curriculum relevance, and industry alignment. However, digital transformation also provides opportunities for interdisciplinary learning, experiential education, global collaboration, and technology-driven innovation. The study emphasizes the importance of adaptive leadership, faculty development, industry partnerships, and student-centered pedagogies in supporting sustainable curriculum reform. Ultimately, transforming business education curricula is essential for preparing graduates with digital competencies, critical thinking abilities, and innovative skills necessary to compete effectively in the global digital economy.

This study is grounded in the observation that online game addiction has emerged among learners at SMP Muhammadiyah Bantul. In the present digital era, playing games through the internet has become tightly woven into adolescents' everyday routines. Easy accessibility together with the broad spectrum of entertainment provided has pushed the popularity of online games upward. However, immoderate engagement may foster addictive patterns that adversely affect students' academic performance, social interaction, physical condition, and mental well-being. Hence, a workable intervention is required to lower the level of dependence. The purpose of this research is to decrease learners' online game addiction by means of group counseling services that draw on the Cognitive Behavioral Therapy (CBT) framework combined with cognitive restructuring techniques. A one-group pretest-posttest experimental scheme was adopted in this work. The findings reveal a notable reduction in the students' online game addiction scores, evidenced by the paired sample t-test significance value (two-tailed) of 0.000, which falls below 0.05. It can therefore be inferred that group counseling rooted in the Cognitive Behavioral Therapy approach with cognitive restructuring techniques is effective for reducing online game addiction in seventh-grade learners at SMP Muhammadiyah Bantul.

The rapid population growth in urban areas has caused various complex problems, such as congestion, air pollution, and the high use of private vehicles, so that it becomes a challenge in realizing sustainable cities and settlements. Public transportation is present as one of the solutions in overcoming these problems because it can increase community mobility and reduce negative impacts on the environment. This study aims to analyze the implementation of Mass Rapid Transit (MRT), Light Rail Transit (LRT), TransJakarta, and Electric Rail Trains (KRL) in supporting the achievement of SDGs 11 Sustainable Cities and Settlements. This study uses a descriptive qualitative method with a literature study approach. The results show that the MRT and KRL contribute to efforts to reduce carbon emissions and congestion, TransJakarta excels in the aspect of cost affordability while the LRT plays a role in improving urban connectivity efficiently. Thus, public transportation palas an important role in realizing sustainable cities and settlements with the integration between modes of public transportation which is the main factor in supporting the achievement of SDGs 11 optimally.

This study explores the role of artificial intelligence in strengthening cybersecurity threat detection frameworks for next-generation network environments. The rapid expansion of cloud computing, Internet of Things ecosystems, and distributed digital infrastructures has significantly increased cybersecurity risks and operational vulnerabilities. Traditional cybersecurity systems often struggle to detect sophisticated and evolving threats due to their dependence on static detection mechanisms. Using a qualitative research approach and content analysis method, this study examines recent developments in artificial intelligence, machine learning algorithms, and intelligent cybersecurity frameworks. The findings indicate that AI-driven cybersecurity systems improve real-time threat detection, anomaly identification, automated monitoring, and predictive security analysis. Machine learning technologies such as Random Forest, Support Vector Machine, and deep learning models demonstrate strong potential for enhancing intrusion detection accuracy and reducing false positive rates. The study also identifies critical challenges related to ethical governance, privacy protection, computational complexity, and adversarial attacks in AI-based cybersecurity systems

The rapid development of Generative Artificial Intelligence (AI) technology has brought about significant changes in various fields, including higher education. One of its primary functions is to assist students in completing academic writing assignments. This study aims to explore the use of Generative AI in enhancing students’ academic writing skills and to identify the advantages and challenges faced in the field of education. The method used in this study is a literature review, analyzing various scientific works from both domestic and international sources regarding Generative AI, scientific writing, and higher education published between 2023 and 2025. The findings indicate that Generative AI can assist students in formulating ideas, structuring their writing, improving grammar, and boosting writing productivity. Additionally, this technology contributes to enhancing students’ confidence and efficiency in the academic writing process. However, various challenges were also identified, such as the risk of academic misconduct, excessive reliance on AI-generated content, and concerns regarding the accuracy and authenticity of information. Therefore, the use of generative AI must be accompanied by digital literacy and an understanding of ethical considerations to ensure its responsible use in educational settings. This study indicates that generative AI has great potential to improve academic writing skills when used appropriately and responsibly.

The governance of sand and gravel mining requires an integrated assessment of technical planning, occupational safety, environmental control, reclamation, and regulatory compliance. This study evaluated the governance of CV. Ria Bersaudara, a sand and gravel mining company located in Pasar Surulangun, Rawas Ulu District, Musi Rawas Utara Regency, using the Good Mining Practice framework. The study used a descriptive evaluative approach based on field observation, document review, indicative resource estimation, equipment productivity analysis, occupational safety and environmental risk assessment, and compliance mapping. The results show that the company has a basic legal foundation through an exploration mining permit covering 12.5 ha; however, several governance components require improvement. The indicative prospective area was approximately 2.50 ha, with an effective follow-up area of 1.80 ha and an estimated indicative resource of 21,600 m³ or 35,640 tons. Productivity analysis indicated that excavator capacity reached about 61 m³/hour, while one dump truck only transported about 10.3 m³/hour, creating a haulage bottleneck if the truck fleet is insufficient. Safety implementation was also not optimal, with personal protective equipment compliance estimated at only 55%. The study recommends validating permit documents, strengthening technical exploration data, improving drainage and sediment control, enforcing safety procedures, implementing progressive reclamation, and establishing daily operational records.

Guided Bone Regeneration (GBR) relies on a barrier membrane to prevent soft tissue invasion in the wound area and maintain space for bone formation. Conventional membranes generally function as a passive barrier without enhancing osteogenesis. Membranes fabricated with the addition of β-TCP were developed to enhance membrane bioactivity. This review aims to evaluate the role of β-TCP as a bioactive component in barrier membranes used in GBR procedures. The study used a narrative review approach with literature sources from PubMed, Google Scholar, and ScienceDirect in the period 2016–2026. The keywords used included “guided bone regeneration," “barrier membrane," and “β-tricalcium phosphate." The selected articles were English-language experimental studies with relevant topics. A total of 7 articles met the inclusion criteria. The incorporation of native β-TCP showed increased osteoconductivity, hydrophilicity, and mechanical strength of the membrane. The release of calcium and phosphate ions plays a role in increasing osteoblast proliferation and osteogenic marker expression. In vitro and in vivo studies also demonstrated increased new bone formation and improved regeneration space maintenance compared to conventional membranes. The optimal concentration of β-TCP varies depending on the polymer matrix. β-TCP-based membranes have the potential to act as bioactive barrier membranes that not only act as a barrier but also support bone regeneration. Further research, particularly human clinical trials, is needed to confirm their effectiveness and safety.

Diabetes Mellitus (DM) is a chronic metabolic disease characterized by persistently high blood sugar levels, which can lead to complications such as diabetic foot issues. A crucial aspect for healthcare professionals providing care to DM patients is assessing the patient's level of adherence and understanding regarding self-care and disease management. Data from the 2023 SKI (Indonesian Health Survey) indicates there were 118,184 cases of Diabetes Mellitus in Central Java. Foot care education delivered via remote services assists patients in performing proper foot care to prevent complications associated with the condition. This study aimed to determine the effectiveness of an animated video based on the Theory of Planned Behavior in improving the knowledge and adherence of patients with diabetic ulcers. A quasi-experimental design was employed, utilizing a one-group pre-test and post-test approach with a control group. Incidental sampling was used to select 60 respondents. The Mann-Whitney test yielded a p-value of < 0.05 (0.017), demonstrating that the animated video based on the Theory of Planned Behavior was effective in enhancing both adherence and knowledge among patients with diabetic ulcers. The findings suggest that this animated video, leveraging audiovisual media, can be implemented in educational settings to help prevent foot complications in patients with diabetes.

Political disinformation has become one of the most critical challenges in contemporary digital democracies due to the rapid expansion of social media ecosystems. This study investigates the effectiveness of machine learning approaches in detecting political disinformation across online platforms such as Twitter, Facebook, and political discussion forums. Using a qualitative research design with a content analysis approach, the study examines linguistic manipulation, emotional narratives, sentiment polarity, and behavioral communication patterns embedded in misleading political content. The findings indicate that deep learning models, particularly Long Short-Term Memory (LSTM) architectures, demonstrate superior performance in identifying contextual and semantic inconsistencies compared to traditional machine learning algorithms. The study also reveals that algorithmic amplification, echo chambers, and coordinated bot activities significantly contribute to the rapid spread of political misinformation. Furthermore, the research highlights the importance of ethical artificial intelligence governance, transparency, and digital literacy in strengthening democratic resilience and protecting information integrity within digital communication environments

This study examines the relationship between Indigenous Knowledge Systems (IKS) and legal autonomy within the Indian legal and constitutional framework. It explores how ancient Indian governance recognized legal pluralism through customary laws, village autonomy, tribal jurisdictions, and decentralized judicial systems. The study further analyzes the ecological and philosophical foundations of Indigenous Knowledge Systems, emphasizing the indigenous worldview that promotes harmony between humans and nature through principles of sustainability and environmental stewardship. Additionally, the research evaluates the legal challenges faced by indigenous communities under modern intellectual property regimes, particularly concerning communal ownership, oral traditions, and biopiracy. Constitutional protections such as the Fifth Schedule, Sixth Schedule, and the Forest Rights Act (2006), alongside landmark judicial decisions, demonstrate India’s efforts to safeguard indigenous rights and traditional knowledge. The study also highlights international legal mechanisms, including the Convention on Biological Diversity (CBD), the Nagoya Protocol, and WIPO initiatives, while emphasizing the need for stronger legal frameworks and international cooperation to ensure indigenous sovereignty and long-term protection of Indigenous

The rapid advancement of digital technology has significantly transformed various aspects of human life, including the education sector. In the Society 5.0 era, educational institutions are expected to integrate digital technologies into learning processes to develop adaptive, innovative, and globally competitive human resources. This study aims to analyze digital technology-based learning innovations in improving educational quality, identify their potential benefits, and examine the challenges and strategies for optimizing their implementation. This research employed a qualitative descriptive approach through a literature review by analyzing relevant academic sources, including scholarly journals, books, conference proceedings, and other scientific publications. The findings indicate that digital learning innovations are implemented through the utilization of Learning Management Systems (LMS), Artificial Intelligence (AI), Augmented Reality (AR), Virtual Reality (VR), interactive learning media, blended learning, and flipped classroom models. These technologies contribute to enhancing learning effectiveness, expanding educational accessibility, increasing student motivation and engagement, and fostering essential twenty-first-century competencies. Nevertheless, several challenges remain, including digital inequality, inadequate technological infrastructure, limited digital competencies among educators, and concerns related to digital ethics and cybersecurity. Therefore, effective implementation requires comprehensive strategies, such as strengthening teachers' digital competencies, improving educational infrastructure, developing adaptive curricula, integrating innovative learning media, and promoting digital literacy and ethical awareness. These efforts are expected to support the development of a more adaptive, inclusive, and high-quality education system that aligns with the demands of the Society 5.0 era.

Evaluating food portions and types in the Free Nutritious Meal (MBG) program is generally still performed manually, which is time-consuming and potentially subjective. This study aims to develop an automated deep learning-based system to efficiently detect food types and estimate their nutritional value. The method used is a quantitative experiment integrating the YOLOv11m architecture for real-time object detection and the Google Gemini 2.5 Flash Large Language Model (LLM) for contextual nutritional estimation reasoning. The model training utilized a dataset of 2,630 food tray images categorized into five classes (fruit, side dish, staple food, vegetable, milk) that had undergone an augmentation process. The results showed that the YOLOv11m model achieved excellent performance with a mean Average Precision (mAP@0.5) of 0.9727 and the highest F1-score of 0.9522 at a confidence threshold of 0.1. Furthermore, validation of the LLM integration demonstrated a high prediction agreement rate of 85%. In conclusion, the combination of the YOLOv11m algorithm and LLM reasoning is capable of detecting and validating nutritional classification quickly and precisely, showing strong potential as an objective nutritional evaluation monitoring solution for large-scale MBG program implementation.

The increasing demand for electricity and high dependence on the utility power grid have driven the adoption of photovoltaic (PV) power generation as an environmentally friendly alternative energy source. This study aims to analyze the techno-economic feasibility of a load-sharing PV power generation system, focusing on technical analysis, operational costs, electricity bill savings, and environmental impacts. The research was conducted using quantitative methods to compare energy from photovoltaic generation and the grid, carbon emission calculations using an emission factor of 0,87 kgCO₂/kWh, and economic evaluation through parameters such as Net Present Value (NPV), Return on Investment (ROI), Cost of Energy (COE), and Payback Period (PP). The research results indicate that the photovoltaic panel generation system enables reducing utility grid energy consumption and reducing carbon emissions by 4,85 tons of CO₂ in 2024, increasing to 8,45 tons of CO₂ in 2025. The economic analysis indicates that the NPV value is not yet optimal; however, the ROI stands at 15%, the COE is Rp. 980.08/kWh, and the Payback Period is 6,56 years. The system is feasible for long-term investment. Overall, the implementation of the photovoltaic power plant demonstrates good potential in supporting carbon emission reduction, increasing the utilization of renewable energy, and reducing dependence on fossil-based energy.