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This study aims to describe the concept of Immersive Commerce based on Augmented Reality (AR) in increasing consumer confidence in E-Commerce transactions and to design a conceptual prototype design framework for an AR E-Commerce system with a clear technical flow. The research method uses a literature study through a comprehensive review of AR-based E-Commerce implementations and needs analysis from the perspective of consumer problems and business opportunities. The main problem identified is consumer hesitation in purchasing products online due to limited visualization that relies solely on product photos, causing fears about differences in shape, size, and quality of goods. The research results produced a conceptual framework that includes an integrated system architecture with a frontend layer (AR visualization engine), backend layer (product database and 3D asset management), and integration layer, as well as a systematic user flow design from the discovery to the decision phase. Based on simulations using literature data, the designed framework has the potential to increase customer engagement by up to 169%, conversion rates by up to 11 times, and reduce product return rates by up to 50%. The benefits of this research include digital dimensions through E-Commerce technology innovation, social dimensions by increasing consumer trust and reducing product fraud, and environmental dimensions through the potential reduction of product returns. This conceptual prototype provides a foundation for digital innovation, social trust building, and environmental sustainability through reduced product returns.

Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus and transmitted through the bite of the Aedes aegypti mosquito. According to the WHO, 40% of the world's population is at risk of dengue fever, with a significant increase in cases in the last two decades, especially in 2019. After declining during the Covid-19 pandemic, cases surged again in 2023, including in previously unaffected areas. In Indonesia, Ministry of Health data shows an increasing trend in cases, with 186,324 cases and 1,120 deaths by week 35 of 2024. Environmental factors and community behavior influence the spread of dengue-causing mosquitoes. This study aims to determine the relationship between these factors and the incidence of dengue fever in Central Lampung Regency. This study aims to determine the relationship between environmental factors and community behavior with the incidence of Dengue Hemorrhagic Fever (DHF) in Central Lampung Regency. This study is an observational analytical study using a case control study design. The research instruments used were questionnaires and observation sheets. The data analysis technique used the chi square test. From the results of the study it is known that out of 9 variables, 4 variables have a relationship with the incidence of DHF, namely the availability of container covers (p value = 0.023 <0.05), frequency of container drainage (p value = 0.001 <0.05), the presence of larvae in containers (p value = 0.006 <0.05), and respondent attitudes (p value = 0.023 <0.05). Based on research in Central Lampung Regency, of the nine variables examined, four were shown to be associated with the incidence of Dengue Hemorrhagic Fever (DHF). Therefore, it is crucial to raise public awareness and routinely implement Dengue Prevention (PSN) or 3M, both independently and collectively. Dengue prevention needs to be carried out not only through sanctions (punishment), but also through a promotive and preventive approach involving individuals, communities, environmental policies, and supervision from relevant agencies. These efforts must be comprehensive and sustainable, involving all levels of society.

This study aims to analyze the phenomenon of violence against children in Central Java, focusing on the dominance of sexual violence against girls and the failure of the domestic sphere as a safe environment. This research employs a descriptive qualitative approach using secondary data from SIMFONI-PPA, supported by relevant literature. The findings reveal that cases of violence against children fluctuate but remain consistently high each year. Girls are identified as the most vulnerable group, with a higher proportion of victims compared to boys. Sexual violence emerges as the most dominant form, indicating serious issues related to power relations, gender inequality, and weak social protection systems. Furthermore, the household, which is expected to be a safe space, is in fact the primary location of violence, with perpetrators largely coming from close relationships such as parents, partners, and the surrounding social environment. These findings highlight that violence against children is not merely an individual issue but a structural problem involving social, cultural, and power dynamics. Therefore, comprehensive child protection approaches that are family-based, gender-sensitive, and cross-sectoral are essential to break the cycle of violence sustainably.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Micro, Small, and Medium Enterprises (MSMEs) constitute the backbone of Indonesia's national economy, contributing approximately 61% of GDP and absorbing 97% of the total workforce; however, the majority of MSME actors, particularly in eastern Indonesia, continue to face structural barriers in digital technology adoption and capital access that constrain optimal business performance. This study aims to analyze the partial and simultaneous effects of marketing digitalization and business capital on MSME performance in Ambon City. A quantitative approach with associative-causal design was employed, involving 30 respondents selected through purposive sampling from active MSME operators in Ambon City. Data were collected via a five-point Likert scale questionnaire and analyzed using multiple linear regression with IBM SPSS version 26, preceded by validity, reliability, and classical assumption tests. Results demonstrate that marketing digitalization exerts a positive and significant partial effect on MSME performance (t = 8.060; sig. = 0.000; β = 1.061), establishing it as the most dominant predictor in the model. Conversely, business capital shows no significant partial effect (t = 0.746; sig. = 0.462), attributable to the homogeneity of capital access among MSME actors in archipelagic regions. Simultaneously, both variables significantly influence MSME performance (F = 287.070; sig. = 0.000), with an exceptionally high R Square of 0.955, indicating that 95.5% of performance variance is collectively explained by the two predictors. These findings underscore the critical role of digital marketing capabilities over financial resources alone in archipelagic contexts. It is recommended that the Ambon City Government integrate digital marketing literacy training programs synergistically with inclusive financing schemes to comprehensively strengthen MSME competitiveness across the Maluku archipelago.

Drug abuse in Indonesia has reached an alarming level and has become a complex legal and health problem. This study aims to examine the criminal law policy applied to drug abusers from a health perspective, with a focus on the rehabilitative approach as an alternative to punishment. The method used is normative legal research with a statute approach and a conceptual approach, through a literature study of laws and regulations, court decisions, and relevant scientific literature. The results of the study indicate that Law Number 35 of 2009 concerning Narcotics contains a dualistic approach, namely punishment (penal) and rehabilitation (non-penal), but its implementation still tends towards imprisonment. From a health perspective, drug abuse is an addictive disorder that requires a medical and psychosocial approach, not solely a criminal repressive approach. An ideal criminal law policy should combine proportional criminal sanctions with a comprehensive medical and social rehabilitation program. This study recommends policy reforms that are more oriented towards the health recovery of drug abusers without neglecting the aspect of law enforcement against drug dealers and traffickers.

Along with the rapid growth of digital media, various forms of digital transactions have also developed.1 This development has driven changes in the payment system in Indonesia, one of which is through the implementation of QRIS (Quick Response Code Indonesian Standard). Despite its increasingly widespread use, there are still few studies that systematically examine user perceptions and the effectiveness of QRIS in improving transaction efficiency and strengthening the digital financial system. The purpose of this study is to identify and comprehensively analyze the results of previous studies related to QRIS use through a Systematic Literature Review (SLR) approach. Data were collected from Google Scholar and Garuda using the keywords "QRIS use", "QRIS payment system", and "QRIS transaction tool". The results show that QRIS can improve the efficiency and convenience of digital transactions, both for consumers and businesses, and facilitate the integration of financial services in a single platform. This study also aims to analyze the use of QRIS in public services. Using a descriptive qualitative research method, research data was taken from the results of searches of reliable sources including official websites, academic literature, theses, and national scientific journals relevant to the research topic. Thus, this may indicate that the success of QRIS is influenced by effective socialization, public awareness of transaction security, and equitable access to technology. The implications of this research provide a useful literature map for policy development and further studies in the field of digital finance.

The development of digital media has transformed Islamic da’wah into a digitally mediated form of religious communication, reshaping structures of authority, engagement, and community formation. However, existing research remains fragmented and lacks a comprehensive structural map. This study conducted a Systematic Literature Network Analysis (SLNA) of Scopus-indexed publications on Islamic da’wah via digital platforms from 2016 to 2026. Using PRISMA-based screening techniques and bibliometric methods—including co-authorship, co-citation, and co-occurrence analyses with VOSviewer—the study analyzed 74 peer-reviewed journal articles. The results indicate a significant increase in the number of publications, particularly following the COVID-19 pandemic. The field is structured around four main themes: platform-based engagement strategies, youth identity formation, digital authority and ethics, and the adaptation of prophetic communication principles to the online context. Although Indonesia and Malaysia dominate the research output, the collaborative network remains relatively dispersed. New topics such as the influence of algorithms and AI-supported da‘wah suggest an expansion toward interdisciplinary directions. This study provides the first comprehensive map based on Scopus for research on Islamic digital da‘wah and offers a foundation for future theoretical and empirical development.

The National Health Insurance Program (JKN) is a government policy aimed at providing health protection for all Indonesians through fair, equitable, and sustainable healthcare services. However, its implementation still faces various challenges and issues. This study aims to analyze the implementation of the JKN program in Indonesia using a systematic literature review and the CIPP (Context, Input, Process, Product) evaluation model. Ten scientific articles published between 2021 and 2025 were selected and analyzed based on established inclusion and exclusion criteria. The results indicate that in the context aspect, there are still problems, such as a large number of participants with inactive membership status and a low level of public understanding of their rights and obligations as JKN participants. In the input aspect, obstacles faced include limited health workers, uneven distribution, and inadequate facilities and infrastructure. Furthermore, in the process aspect, various obstacles were found, such as long service queues, complex administrative procedures, disruptions in the medical record system, and the suboptimal use of digital-based services. Meanwhile, in terms of products, the National Health Insurance (JKN) program has proven effective in improving public access to healthcare services, although service quality remains uneven, drug availability remains unstable, and the BPJS Kesehatan financing system still faces several challenges. Overall, the JKN program has had a positive impact on the community, but comprehensive improvements are still needed, particularly in strengthening governance, equitable access to services, and improving the quality of healthcare services.

Ankle sprain is one of the most common musculoskeletal injuries in sports activities and often results in pain, limited range of motion, muscle weakness, and decreased functional ability. Appropriate physiotherapy management is essential to accelerate recovery and restore ankle function. This study aims to analyze the effectiveness of combining electrotherapy modalities and exercise therapy in the rehabilitation of bilateral grade II ankle sprain caused by sports injury. The research used a case study approach with physiotherapy interventions conducted through several treatment sessions. The interventions consisted of electrotherapy modalities combined with therapeutic exercises designed to reduce pain, improve joint mobility, and increase muscle strength and functional stability of the ankle. Clinical evaluation was carried out through observation of pain levels, range of motion, and functional ability during the therapy period. The findings indicated a gradual improvement in the patient’s condition, including decreased pain, increased ankle range of motion, improved muscle strength, and better functional performance during daily activities. These results suggest that the integration of electrotherapy and exercise therapy can provide a comprehensive rehabilitation approach for ankle sprain injuries. The combined intervention not only supports pain reduction but also enhances joint stability and functional recovery, enabling patients to return safely to their physical activities and reducing the risk of recurrent injury.

Catholic marriage in Indonesia occupies a unique legal position because it is governed simultaneously by state law and canon law. Indonesian positive law recognizes marriage based on religious law and regulates its civil consequences, including divorce. However, Catholic canon law does not recognize divorce as the dissolution a valid and sacramental marriage. This dual legal framework has led widespread misunderstandings among Catholic faithful and legal practitioners, particularly regarding the legal consequences of civil divorce. This study aims to analyze the legal status of Catholic marriage within Indonesia’s dual legal system and examine the juridical implications of civil divorce Catholic marital status under canon law. This research employs normative legal research using statutory, conceptual, and comparative normative approaches. The findings demonstrate that civil divorce functions solely as the termination of civil legal relations under state law and does not dissolve the marital bond according to canon law. The study further reveals that prevailing misconceptions stem from reductive understanding Catholic marriage merely an administrative legal event. This article contributes to legal scholarship by clarifying the normative boundaries between state law and canon law and emphasizes the need for comprehensive legal understanding to prevent recurring juridical misunderstandings in Catholic marriage practices in Indonesia.

Phishing is a form of cybercrime that has experienced a significant increase in frequency within Indonesia. This fraudulent practice aims to deceive victims into surrendering personal data or sensitive financial information by impersonating trusted institutions. Such crimes result in substantial losses for both individuals and the business sector, particularly concerning personal data protection and digital transaction security. This research aims to analyze the legal regulations and the role of supervisory institutions in addressing phishing threats in Indonesia using a normative legal research method. The legal analysis encompasses the implementation of the Electronic Information and Transactions Law (UU ITE), specifically Article 28, paragraph (1), and the Personal Data Protection Law (UU No. 27 of 2022), which serves as the primary foundation for privacy rights. Furthermore, this study examines the Consumer Protection Law and the Indonesian Criminal Code (KUHP) as enforcement instruments. The strategic roles of the Financial Services Authority (OJK) and Bank Indonesia (BI) are also discussed in the context of risk mitigation within the financial sector. The findings indicate that law enforcement effectiveness is still hindered by low digital literacy, limited forensic technology infrastructure, and jurisdictional challenges in tracking cross-border perpetrators. Consequently, a synergy between regulatory strengthening, international collaboration, and massive public education is required to comprehensively suppress these cybercriminal activities.

The hospitality industry is a strategic sector within the global tourism system that heavily depends on service quality and food safety assurance. In hotel operations, the pastry division represents a high-risk unit due to the use of perishable ingredients and intensive manual handling processes. This study aims to analyze the implementation of hygiene and sanitation practices in the Pastry Division of Hotel Aruss Semarang in supporting food safety standards within the hospitality industry. This research employs a qualitative approach with a case study design. Data were collected through participatory observation, semi-structured interviews, and document analysis, including Standard Operating Procedures (SOPs), sanitation checklists, and temperature control records. Data validity was strengthened through triangulation and member checking, while thematic analysis was used to identify key implementation patterns. The findings indicate that the implementation of personal hygiene, environmental sanitation, and Good Manufacturing Practices (GMP) has generally complied with most of the requirements of Good Processed Food Manufacturing Practices (CPPOB). The availability of sanitation facilities, periodic medical check-ups, equipment maintenance, and FIFO-based storage systems demonstrate management commitment to preventive risk control. However, inconsistencies in handwashing practices and minor construction details that do not fully meet hygienic design standards indicate areas requiring improvement. Overall, hygiene and sanitation implementation in the Pastry Division has been effective in supporting food safety. Strengthening behavioral compliance, continuous training, and facility optimization are recommended to achieve a more sustainable and comprehensive food safety management system.

This study explores the role of Business Intelligence (BI) in improving operational effectiveness and company performance amid rapid digital transformation, big data, Artificial Intelligence (AI), and data analytics development. Using a Narrative Literature Review (NLR) approach, this study analyzed 48 national and international scientific articles related to BI, firm performance, digital transformation, and big data analytics. The findings reveal that BI positively influences decision-making quality, operational efficiency, organizational agility, innovation capability, marketing effectiveness, customer relationship management, and competitive advantage. Furthermore, integrating BI with Big Data Analytics, predictive analytics, machine learning, and AI enhances organizational responsiveness to dynamic business environments. The study also identifies key success factors for BI implementation, including organizational readiness, management support, technological infrastructure, information quality, and system integration. These findings indicate that BI has evolved from a technological tool into a strategic organizational capability that supports sustainable business performance and digital transformation. This study contributes to the Business Intelligence literature by providing a comprehensive understanding of BI’s strategic role across various industries and organizational contexts.

Sexual education plays a critical role in promoting healthy and responsible behaviors among adolescents. Insufficient knowledge about sexual health increases the risk of engaging in unsafe sexual practices. This study aimed to evaluate the effectiveness of sexual education in improving the knowledge of students at SMP Pancasila, Brebes Regency, regarding adolescent sexual issues. The intervention was conducted in May 2024 with 24 students aged 12–18 years, using a pretest-posttest design and educational media, including leaflets and PowerPoint presentations. Results indicated a significant increase in the average knowledge score from 7 to 9 following the intervention. Most participants were aged 14–17 years, and some had prior dating experience. These findings are consistent with Erikson’s developmental theory, highlighting the importance of identity formation and intimacy during adolescence. The educational program effectively enhanced students’ knowledge and equipped them with decision-making skills, self-regulation, and body awareness. This study underscores the necessity of implementing comprehensive sexual education at the middle school level, involving schools, parents, and the community, and employing accurate educational materials such as leaflets. Such interventions are expected to reduce the incidence of premarital sexual behavior and foster responsible attitudes among adolescents

Islamic leadership faces significant challenges related to personal integrity and institutional governance, requiring a comprehensive theoretical study to bridge these gaps. This research aims to examine the integration of prophetic values with system improvement to strengthen Islamic leadership in the modern context. The study employs a qualitative approach based on literature review and textual analysis, exploring Islamic leadership theories, public administration practices, and historical experiences of Islamic civilization. The findings indicate that Islamic leadership becomes more effective when the personal integrity of leaders is aligned with adaptive, transparent, and accountable institutional systems. These results emphasize that system improvement is necessary to ensure moral values are not limited to individual practice but embedded within organizational governance and social institutions. The study also highlights the relevance of Islamic leadership in addressing the era of disruption, where synergy between prophetic character and institutional reform is essential for sustainability. The research recommends emphasizing the synergy between moral values and system improvement so that Islamic leadership can sustainably address social challenges while remaining relevant to modern demands and contemporary societal needs.   

The development of financial technology (fintech lending) in Indonesia has significantly facilitated public access to financing; however, it has also generated various legal issues, particularly concerning the protection of creditors. This study aims to analyze the forms of legal protection available to creditors in loan agreements based on fintech lending from the perspectives of civil law and commercial law in Indonesia. The research employs a normative legal method, utilizing both statutory and conceptual approaches. The findings indicate that legal protection for creditors in fintech lending still faces numerous challenges, particularly regarding the validity of electronic agreements, the risk of default, and the weakness of guarantee mechanisms. Existing regulations, such as the Financial Services Authority Regulation (POJK) concerning information technology-based lending services, have not yet provided optimal legal certainty. Furthermore, the principles of prudence and transparency have not been fully implemented by fintech providers. Therefore, strengthening regulatory frameworks and harmonizing civil law and commercial law are essential to ensure more comprehensive legal protection for creditors. This study is expected to contribute to the development of business law in Indonesia, particularly in responding to the dynamics of the digital economy.

The digital transformation of public administration represents a critical pathway toward modernizing governance, enhancing service delivery, and improving transparency in Indonesian government agencies. This study examines the current state of digital transformation initiatives across various levels of government in Indonesia, identifying key challenges and opportunities in implementing digital technologies within bureaucratic structures. Through a convergent parallel mixed-methods design combining surveys of 245 government officials from 32 agencies and in-depth interviews with 28 digital transformation leaders, this research reveals that while Indonesian government agencies have made significant progress, substantial barriers remain including limited digital infrastructure in remote regions, resistance to organizational change, insufficient digital literacy among civil servants, and inadequate legal frameworks. The overall mean maturity score was 2.87 (SD = 0.74), placing the average agency in the 'developing' category, with only 6% reaching the 'optimizing' level. The study identifies critical success factors: strong leadership commitment (β = 0.38, p < 0.001), citizen-centric design, comprehensive change management, and effective public-private partnerships. Findings indicate that successful digital transformation requires not merely technological adoption but fundamental organizational restructuring and cultural shifts toward data-driven decision-making and collaborative governance. Policy recommendations address digital infrastructure investment, human capital development, governance reform, and shared platform utilization. This research contributes to theoretical understanding of digital government in developing nations and provides practical guidance for policymakers navigating the complexities of public sector digitalization.

This study aims to identify domestic visitor segments in Bromo Tengger Semeru National Park (TNBTS), Indonesia, based on travel characteristics and consumption patterns to support the development of quality tourism in protected areas. Using snowball sampling, 283 domestic visitors was analysed by Two-Step Cluster Analysis in SPSS by integrating length of stay, activity preferences, and expenditure patterns. The results reveal a two-cluster solution as the most optimal segmentation, supported by the highest ratio of distance measures, with cluster quality rated as fair (silhouette = 0.20). Cluster 1 (39.2%) represents short-stay, lower-spending visitors who primarily seek iconic experiences (“Sunrise Seekers”), while Cluster 2 (60.8%) reflects longer-stay, higher-spending visitors who prefer village tourism activities (“Village Experience Seekers”). The strongest differentiating variables across segments are length of stay, activity preference, expenditure style, and age, whereas gender, education level, origin, and travel companions have limited role in segment separation. This study contributes empirical evidence of data-driven visitor segmentation in a conservation-based ecotourism destination within a volcanic national park, extending prior expenditure-focused profiling by integrating length of stay and activity preferences to capture visitor heterogeneity more comprehensively.