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The rapid development of information and communication technology has had a significant impact on people's lives, especially through the presence of social media. Social media is not only a means of communication, but also affects the psychological aspects of its users. One of the psychological phenomena that arises due to excessive use of social media is Fear of Missing Out (FoMO), which is a feeling of anxiety due to fear of being left behind in information or social activities. This study aims to determine the relationship between the duration of social media use and the level of FoMO in students of UIN Sultan Maulana Hasanuddin Banten. The study used a quantitative approach with the Pearson correlation method. The population in this study was active students in the 2nd semester of the Islamic Guidance and Counseling Study Program, with a sample of 53 respondents selected using the simple random sampling technique. Data were collected through questionnaires and analyzed using the Pearson correlation test. The results of the study are expected to provide a better understanding of the impact of the intensity of social media use on students' psychological conditions, as well as being the basis for efforts to prevent and handle FoMO among the younger generation.

This study explores the relationship between prayer and inner peace from the perspective of religious psychology. Prayer is not only seen as a ritualistic act of worship but also as a spiritual coping mechanism that positively impacts psychological well-being. This research employs a literature review method by analyzing various relevant sources. The findings indicate that prayer plays a significant role in reducing stress, strengthening inner resilience, and fostering a sense of peace. A positive correlation is found between prayer frequency and the level of inner calmness, particularly among university students and the elderly. The study suggests that prayer can be utilized as a spiritual approach to support mental health, especially amid the challenges of modern life.

The standard of proof is the foundation that keeps the criminal justice system from turning into a repressive tool to prevent state power from imposing arbitrary sentences. However, in the midst of technological developments, it has created an unstable evidence landscape that threatens the continuity of the legitimacy of the law itself without a standard of proof that can be objectively verified. This study uses a qualitative research method with a conceptual approach. The data collection method is collected using literature studies, then analyzed using qualitative methods and presented descriptively. The results of the study show that maintaining the existence of the standard of proof is no longer adequate if it is not accompanied by a responsible and adaptive reformulation to the complexity of contemporary evidence. Exploration of alternative forms of evidence offers opportunities to increase precision and transparency that have been difficult to achieve with traditional mechanisms, but all of these innovations can only contribute constructively if they are placed within a strict legal and ethical framework, given the inherent risks such as algorithmic bias, the reduction of judicial convictions to statistics without context, and gaps in accountability between jurisdictions in the application of forensic technology.

Compared to other Islamic financial institutions, Islamic cooperatives are one type of financial institution that is still less known in the community. This can be seen from the lack of familiarity of the term sharia cooperative to our society. This research is a qualitative research, in accordance with the object of study, this type of research is included in the category of library research, which is a systematic approach to collecting, analysing, and evaluating relevant information from various academic sources. By 2022, there were 3,912 active sharia savings and loan cooperatives (KSPPS) in Indonesia. This indicates a significant expansion in the number of Islamic cooperative institutions during this period when compared to the previous period, when there was a Covid-19.There needs to be an Islamic cooperative development strategy in Indonesia in order to optimise the role of Islamic cooperatives in improving the MSME sector in Indonesia.The element of need that is the main key in the development strategy of Islamic cooperatives in Indonesia to improve MSMEs is the need for strong support in the legal aspects of Islamic cooperatives (positive law and sharia law).

The development of vaccines for tropical viruses such as dengue and Zika presents a significant challenge in global health. These viruses not only cause serious health complications but also impact health systems and economies in tropical countries. CRISPR/Cas9 technology offers an innovative solution to accelerate vaccine development by enabling precise gene editing. This study aims to explore the potential of CRISPR in accelerating the design and production of vaccines for tropical viruses. The method used in this study is a laboratory-based experimental design involving genetic engineering, with dengue and Zika virus genome models. The first step involves identifying virus target genes using the CRISPR/Cas9 system, which allows the detection of specific genes involved in pathogenesis and immune responses. Subsequently, genetic constructs are designed to generate vaccine candidates that can efficiently and precisely target pathogens. The resulting vaccines are tested in vitro in cell cultures to observe immune responses and their effectiveness against virus infections. The results show that CRISPR not only accelerates the process of identifying and engineering vaccine genes but also significantly improves vaccine production efficiency. CRISPR-based vaccines demonstrate higher immunogenicity compared to conventional methods, thus holding potential as the foundation for developing faster and safer next-generation vaccines. However, this study also identifies challenges related to off-target effects and the efficient delivery of CRISPR components, which require further research to ensure safety and efficacy in human clinical applications.

Mental health issues such as depression, anxiety, and stress continue to increase globally and are recognized as critical factors that influence social functioning, productivity, and overall quality of life. Conventional mental health services are often limited by barriers including high cost, geographical distance, and persistent stigma that discourage individuals from seeking timely help. The digital era provides an alternative through the integration of technology into mental health counseling, offering greater accessibility, flexibility, and anonymity. Nevertheless, a key limitation of many digital counseling platforms lies in their inability to fully capture and respond to the emotional nuances of users during interactions. This study aims to address that gap by developing a speech-based emotion detection framework designed to be integrated into digital counseling environments. The proposed methodology includes the collection and preprocessing of speech samples, feature extraction using acoustic parameters, and training machine learning models to classify emotions in real time. Experimental results demonstrate that this approach significantly improves the accuracy of emotion detection, enabling digital counseling systems to provide more adaptive and personalized support. Beyond counseling, the research highlights the broader applicability of speech emotion recognition in education, telemedicine, and interactive digital assistants, all of which benefit from improved sensitivity to human emotions. These findings underscore the potential of artificial intelligence to strengthen digital mental health interventions, ensuring services that are not only more efficient and inclusive but also capable of fostering long-term emotional well-being in diverse populations.

Bridge infrastructure is a vital component of transportation systems that is vulnerable to structural damage caused by dynamic loads, environmental factors, and aging. Early crack detection is crucial to prevent structural failures that may lead to catastrophic consequences. This study aims to develop a non-destructive detection method based on acoustic sensors to identify cracks in bridge structures with higher sensitivity and accuracy compared to conventional visual inspections. The research was conducted through laboratory experiments and field tests using acoustic sensors, data acquisition devices, and signal analysis software. The procedure included sensor installation on a bridge model, simulation of artificial cracks with varying sizes and positions, recording of acoustic wave signals, and data analysis using frequency spectrum, amplitude, and waveform pattern approaches. The results show significant differences between normal and cracked conditions in the frequency spectrum, where cracks produced amplitude anomalies at specific frequencies. Amplitude analysis revealed a positive correlation between crack size and acoustic signal intensity, while waveform pattern analysis demonstrated the influence of crack position on distortion levels. Cracks located at the center generated the highest distortion, followed by joints and edges. These findings confirm that acoustic sensors, particularly fiber-optic-based ones, offer advantages such as high sensitivity, reliability under complex environmental conditions, and the ability to detect subsurface cracks. The implications of this research highlight the potential development of an acoustic sensor-based structural health monitoring system integrated with real-time analysis software, thereby supporting preventive maintenance, extending infrastructure lifespan, and enhancing transportation safety.

Early childhood education plays an important role in the formation of children's personality and development. This study aims to identify the application of transformational leadership in Early Childhood Education institutions to welcome 21st century education. The important key in creating an innovative, adaptive and creative learning environment lies in the transformational leadership style so as to increase children's potential to the fullest. The method used in this research is a literature review, by analyzing various relevant literature sources to assess the impact and importance of transformational leadership in the world of early childhood education. Transformational leadership has enormous potential, so the results of this study can help realize a generation that is not only intellectually intelligent, but also socially and emotionally developed, in accordance with the demands of an ever-evolving world.  

Remittance money is a number of cost contributions given from the groom-to-be to the prospective in-laws to meet the needs of the wedding. The tradition of money delivery in the culture of the Mandailing Angkola community, especially in Aek Nabara Jae Village, is a symbol of the bride-to-be's seriousness towards the woman. However, in practice, this tradition often causes problems when the nominal amount set exceeds the reasonable limit. Too high a dowry has caused many couples, especially from the lower middle economic class, to be forced to postpone their marriage. This research aims to examine the implementation and determination of remittances in local wedding customs, as well as how Islamic law views these conditions. This study uses a qualitative-descriptive method through field observation and interviews. The results of the study showed that the determination of remittance money was influenced by education level, social status, and the intervention of extended families. In the view of Islamic law, the determination of the dowry that burdens and hinders marriage is contrary to the principle of convenience and benefit in muamalah.

This study aims to evaluate the implementation of Public Service Standards in inpatient services at Dumai City Regional General Hospital (RSUD) as an important part of the provision of health services to the community. Public service standards are needed to ensure service quality, efficiency, transparency, and public satisfaction as service users. However, in practice, various problems are still found, particularly related to the timeliness of service, clarity of service costs, and the availability of supporting facilities and infrastructure. This study uses a qualitative descriptive approach with research subjects including hospital management, inpatient service staff, and community service users. Data collection was conducted through in-depth interviews, direct observation, and documentation studies to obtain a comprehensive picture of the implementation of public service standards. The data obtained were analyzed using thematic analysis methods through the stages of data transcription, coding, theme identification, theme grouping, and data interpretation. The results of the study indicate that the overall implementation of Public Service Standards in inpatient care at Dumai City Regional General Hospital is in the good category. Indicators of service procedures, service products, and the competence of service providers have been implemented quite optimally, characterized by clear procedures, services that meet patient needs, and friendly and professional staff attitudes. However, the service completion time and cost indicators are still in the fairly good category, which indicates delays in service and limited information regarding costs received by patients. Furthermore, facilities and infrastructure are the indicators that require the most attention, especially regarding the comfort of the waiting room and the completeness of service support equipment. In conclusion, although the standard of public service at the Dumai City Regional Hospital inpatient has been running well, continuous improvement efforts are needed to increase service time efficiency, cost transparency, and the provision of facilities and infrastructure to increase public satisfaction and trust in health services.

Public service is the primary indicator of the effectiveness of government bureaucratic performance, as it directly reflects how well public institutions meet community needs. This study aims to evaluate the quality of public services at the Dumai City SAMSAT Office using the SERVQUAL approach, which consists of five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The research employed a descriptive qualitative method with a purposive sampling technique. Informants included one SAMSAT employee and two service users selected based on their direct experience with the service process. Data were collected through interviews and observations to gain an in-depth understanding of service implementation. The findings reveal that the tangible, empathy, and responsiveness dimensions have been implemented relatively well, indicated by improved facilities, supportive infrastructure, and faster service delivery. However, weaknesses remain in the reliability and assurance dimensions, particularly regarding service consistency and the professionalism and attitude of officers toward the public. The study recommends strengthening integrated service systems and enhancing ethics and service excellence training for employees to improve overall service quality.

Mutis Timau National Park is an important conservation area located in the South central Timor Regency, North Central Timor Regency and Kupang Regency, East Nusa Tenggara, which includes the customary areas of various local communities in West Timor-Indonesia. The establishment of this National Park gives a controversial impression from the indigenous people as stakeholders who have long lived, inherited, preserved and controlled the Mutis Timau area, the indigenous people feel that the consolidation in order to achieve a consensus between the indigenous people and the state, does not involve the indigenous people as a whole because of the fact that the indigenous people have historical and ecological values ​​​​attached to the area. This article discusses the importance of revitalizing the role of indigenous peoples in the process of establishing and managing Mutis Timau National Park through a participatory approach, recognition of customary rights and integration of local wisdom in conservation. Therefore, a more inclusive and collaborative state policy is needed to ensure the sustainability of the natural environment and social justice as a form of state recognition for indigenous peoples.

The rapid adoption of algorithmic systems in public governance has transformed decision-making and service delivery, offering promises of efficiency and transparency. Yet, these technologies raise pressing concerns regarding fairness, bias, and social justice. This study investigates the intersection of digital governance, algorithmic decision-making, and social justice, with particular emphasis on emerging democracies. Employing a qualitative socio-legal approach, the research combines normative analysis of governance regulations, case studies of algorithmic applications in public administration, and interviews with policymakers and technology law experts. Comparative analysis across emerging democracies highlights diverse strategies for addressing equity concerns in algorithmic systems. Findings reveal that while algorithmic systems enhance efficiency, they often reinforce existing inequalities due to insufficient safeguards against bias and discrimination. Moreover, regulatory frameworks remain fragmented and inadequate to ensure fairness and accountability. The study proposes the development of adaptive legal frameworks that integrate transparency, accountability, and citizen engagement into AI governance. By embedding social justice principles into algorithmic regulation, governments can foster inclusive policy design and equitable outcomes. This research contributes to ongoing debates on balancing technological innovation with democratic values, emphasizing the need for governance models that prioritize fairness alongside efficiency.

Economic globalization has profoundly reshaped the legal and social structures of indigenous communities, often intensifying conflicts between state law and indigenous law. These conflicts stem from divergent legal norms and the marginalization of indigenous rights within national development agendas. This study investigates the interaction between state law and indigenous law, with particular attention to the impact of globalization and its implications for indigenous rights. Employing a qualitative socio-legal approach, the research utilizes a case study of a specific indigenous community, supported by interviews with indigenous leaders and policymakers, as well as analysis of national and international legal documents. The interpretative method highlights the meaning embedded in legal interactions and the lived experiences of indigenous communities. Findings reveal persistent tensions between state law and indigenous traditions, yet demonstrate that legal pluralism provides a constructive framework for reconciliation. Recognition of indigenous law contributes to social justice and underscores the need for inclusive development policies that promote economic fairness. The study concludes that national legal reforms are essential to strengthen the integration of indigenous law into formal structures, thereby advancing a more equitable and culturally responsive legal system.

The rapid advancement and integration of Artificial Intelligence (AI) into diverse sectors of society have generated complex ethical and human rights challenges. Technologies involving surveillance, data collection, algorithmic decision-making, and facial recognition pose significant risks to privacy, equality, and freedom of expression. This study examines the intersection of AI and human rights through a comparative analysis of regulatory frameworks in the European Union (EU), the United States (US), and Asia. Employing a comparative legal approach, the research analyzes international and national regulatory instruments, including the EU AI Act, the General Data Protection Regulation (GDPR), and China’s Personal Information Protection Law (PIPL). Case studies of AI-related human rights violations, such as algorithmic bias and discrimination, are incorporated to illustrate real-world implications. Findings reveal substantial differences in governance approaches: the EU emphasizes a risk-based model prioritizing human rights protections, while the US and Asia adopt more fragmented or centralized strategies. The study underscores the urgent need for global regulatory harmonization to safeguard fundamental rights and promote ethical AI development. By highlighting both strengths and limitations of existing frameworks, the research contributes to ongoing debates on balancing innovation with accountability, transparency, and human rights protection in the digital era.

The rapid proliferation of misinformation across digital platforms has emerged as a critical challenge, undermining public trust, shaping opinion, and eroding the quality of democratic discourse. As reliance on digital platforms for information dissemination intensifies, the regulation of online content has become a focal issue for scholars, policymakers, and platform operators. This study examines the intersection of cyber law, platform governance, and content moderation, analyzing how platforms manage misinformation while balancing freedom of expression. Employing a normative and socio-legal approach, the research utilizes comparative methodology to assess national and international cyber law frameworks, alongside case studies of platforms such as Facebook, YouTube, and Twitter. Public policy analysis is conducted to evaluate the effectiveness of current governance models. Findings reveal significant variation in regulatory responses, with the European Union’s Digital Services Act offering a robust framework but facing enforcement challenges. Platforms, acting as non-state regulators, are criticized for inconsistent moderation and limited transparency. The study concludes that hybrid regulatory models combining state intervention with platform self-regulation hold promise for addressing misinformation effectively while safeguarding digital rights. This research contributes to ongoing debates on balancing free speech, accountability, and social control in the digital age.

This study is motivated by the teacher's learning strategies having a significant impact on student motivation, understanding, and learning outcomes so that students are expected to be able to learn effectively. The formulation of the problem in this study is: (1) How are the learning strategies used by teachers to improve the learning effectiveness of class X students in geography subjects at SMAN 1 Ngunut Tulungagung? (2) What are the obstacles for teachers in improving the learning effectiveness of class X students in geography subjects at SMAN 1 Ngunut Tulungagung? (3) What is the impact on students in the application of teacher strategies in geography subjects for class X at SMAN 1 Ngunut Tulungagung? The objectives of this study are (1) to determine the learning strategies used by teachers in improving the learning effectiveness of class X students in geography subjects at SMAN 1 Ngunut Tulungagung. (2) to determine the obstacles for teachers in improving the learning effectiveness of class X students in geography subjects at SMAN 1 Ngunut Tulungagung. (3) to determine the impact on students in the application of teacher strategies in geography subjects for class X at SMAN 1 Ngunut Tulungagung. This study uses a qualitative-descriptive approach with data collection through interviews, observations, and documentation. Data analysis is carried out through the stages of data reduction, data presentation, and drawing conclusions. Informants in this study include Geography teachers and class X students at SMAN 1 Ngunut Tulungagung and all parties involved. The results of the study indicate that the Learning Strategies used by teachers in improving the effectiveness of student learning in Geography Subjects at SMAN 1 Ngunut Tulungagung are 2, namely Expository and Inquiry Strategies. The obstacles experienced include: 1) lack of response in the learning process, 2) bad influence from friends, 3) sleeping in class. Impact on students in implementing teacher strategies in Geography subjects for class X The ability to draw conclusions, students are able to present conclusions in a coherent and sequential manner. This study recommends that teachers are expected to be active in participating in training, coaching which is usually held at school or outside school regarding learning strategies. For students, it is hoped that students can focus more on the subject matter taught by the teacher.

This study aims to examine the application of varied learning methods in Pancasila Education subjects in grade 1 of SD Negeri Cipaku 2 Bogor City. The research was conducted with a descriptive approach through observation, questionnaire distribution, and document analysis. The results show that the application of differentiation strategies—including content, processes, and products—is able to increase students' enthusiasm and involvement in learning activities. Teachers first conduct diagnostic tests to map students' learning interests and needs before developing appropriate teaching methods. The students' response to learning was very positive, and the teacher felt that the strategies implemented successfully met their needs and interests. The main challenge in differentiated learning is to change the perception of students who think that the learning process is uniform. To overcome this, teachers provide an understanding that different methods are not forms of discrimination, but rather ways to adapt learning to individual needs. These findings indicate that the differentiation approach is effective in increasing the effectiveness of learning and student involvement in understanding Pancasila Education.

This class action research was carried out on grade VI students of SD N Sukamaju, Megamendung District, Bogor Regency, for the 2024/2025 Academic Year, to improve mathematics learning outcomes, especially in ratio materials. The Problem-Based learning (PBL) model is applied in two cycles, each of which includes planning, implementation, observation, and reflection. The results showed an increase in student enthusiasm from 35.00% in the initial condition to 60.00% in the first cycle and 75.00% in the second cycle. An increase was also seen in learning outcomes, which increased from 65.65% in cycle I to 91.30% in cycle II. Students' activity in understanding the concept of ratio increased from 60.00% in cycle I to 90.00% in cycle II, while learning satisfaction based on questionnaires increased from 72.50% to 92.50%. The teacher's ability to implement PBL also developed from a fairly good category with a score of 1.9 to very good with a score of 3.24 in the first cycle and 3.9 in the second cycle. The final evaluation showed an increase in student learning completeness from 35.00% in the initial condition to 60.00% in the first cycle and 95.00% in the second cycle, with the average class increasing from 57.50 to 70.00 in the first cycle and 81.75 in the second cycle. These findings indicate that the PBL approach effectively improves student engagement and learning outcomes in understanding the concept of ratios.

This study analyzes the impact of Workload and Physical Work Environment on Job Satisfaction of employees of PT. Delta Dunia Sandang Tekstil (DDST) in Demak, with Job Stress as an intermediary variable. Using 180 samples and multiple linear regression analysis (Smartpls v4), it was found that Workload, Physical Work Environment, and Job Stress significantly affect Job Satisfaction. Physical Work Environment has the greatest influence on Job Stress (effect size 0.785), indicating the importance of a good work environment to reduce stress. Job Stress is also significant on Job Satisfaction (effect size 0.147), confirming that stress management increases satisfaction. Workload also has a strong influence on Job Satisfaction (effect size 0.293) and Job Stress (effect size 0.145), highlighting the need for a balanced workload. However, the direct effect of Physical Work Environment on Job Satisfaction in this model is not significant.