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This research was designed to explore the extent to which public beliefs influence the implementation of Digital traceability  systems in the halal industrial sector. The approach used was quantitative with a survey method, where questionnaires were distributed to 60 respondents who were consumers of halal products in Indonesia. Data were analyzed using simple linear regression via Microsoft Excel. Research findings indicate that public confidence has a positive and significant influence on the adoption of Digital traceability  systems, with a regression coefficient of 0.476 and a significance level of 0.000 (<0.05). In addition, the coefficient of determination (R Square) value of 0.219 indicates that public confidence contributes 21.9% to the implementation of the Digital traceability  system, while the rest is determined by other factors that were not researched. These findings confirm that public trust is an important element in encouraging acceptance of digital technology, especially in the halal industry which relies heavily on transparency and consumer confidence. Thus, implementing a Digital traceability  system that is supported by information openness and easy access to technology can be an effective strategy to strengthen consumer trust while expanding technology adoption.

Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.

The development of social media, especially TWITTER, has become one of the main means for people to express opinions and criticism on various issues, including the performance of law in Indonesia. This study aims to analyze public sentiment towards the performance of law based on TWITTER user comments using the Naïve Bayes algorithm. The research data consists of 1004 comments collected from several videos related to legal topics. The analysis process includes the stages of data crawling, pre- processing (text cleaning, normalization, and tokenization), labeling sentiment into positive, negative, and neutral, and testing the Naïve Bayes model. The results show that the Naïve Bayes algorithm is able to classify sentiment with an accuracy level of 93.73%. The distribution of sentiment from 1004 comments shows that the majority of public opinion is (negative/positive/neutral), which indicates that public perception of the performance of law is still (critical/positive). These findings are expected to be input for related parties to understand public opinion and improve the quality of legal performance in

SR12 Herbal Cosmetics is a company engaged in the field of herbal and skin care. Founded in 2015 byToni Firmansyah, S. Farm., Apt. and Asrianty Salam, Farm. This company has a vision to provide benefits to many people through the herbal and skin care products they produce. SR12 Herbal Cosmetics products are formulated based on research from certified scientists, and have been tested at the Sucofindo Laboratory, are free of mercury and hydroquinone, and have been registered with the Indonesian Food and Drug Supervisory Agency (BPOM RI). SR12 Herbal Cosmetics has several factories in West Java Province and has an extensive distribution network with hundreds of distributors and tens of thousands of partners throughout Indonesia. The goal to be achieved is to produce a management information system model including a management information system for PT SR12 Herbal Cosmetics. The research object chosen is a company in the field of cosmetics and skin care which has its head office in Gunung Sindur, West Java. This selection aims to form a management information system design model that is able to produce relevant and timely information for planning, controlling, decision making and evaluating the performance of activities. For the Web-Based Instagram Content Management Information System Design project to Support SR12 Herbal Cosmetics' Brand Awareness, I used Agile (Scrum) due to the dynamic nature of digital marketing and potential changes to the Instagram API or business needs. This allowed SR12 to get core functionality faster and provide iterative feedback, ensuring the system built was truly relevant to their brand awareness needs.

Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and manual labeling, left 385 data points. The analysis process followed the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Model evaluation was conducted using a confusion matrix with accuracy, precision, and recall metrics. The classification results show that 82% of tweets have a positive sentiment and 18% negative. The Naïve Bayes algorithm achieved an accuracy of 86.49%, slightly lower than SVM, which reached 88.05%. In conclusion, Support Vector Machine is more effective in sentiment classification on public opinion data. This research contributes to the digital mapping of public opinion and recommends the development of automatic labeling methods as well as the exploration of advanced algorithms in the future.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

This research is motivated by the problems in manual attendance systems at schools, which remain vulnerable to fraud, time-consuming, and inefficient. The expected solution is to develop an automated attendance system based on face recognition that can operate in realtime with high accuracy. The research object is vocational high school students, with the applied method implementing the YOLO v10 algorithm for face detection, followed by the face_recognition library for identification. The instruments used include an Imou CCTV camera as the input device, a mid-range laptop as the hardware platform, and Python with SQLite as the software environment for data processing and attendance storage. The results show that the developed system achieved an average face detection accuracy of 96% under normal lighting and 91% under low lighting, with an average processing speed of 27 FPS. The implementation of an anti-duplication feature also ensured data validity by allowing each student to be recorded only once per day. In conclusion, the use of YOLO v10 in face-based attendance proved to be effective, efficient, and capable of reducing fraud. The implication of this study is that the system can be applied in both Islamic boarding schools and general schools as a modernization of attendance systems, with a recommendation for further development through web-based application and cloud database integration.

Golf participation has increasingly become a lifestyle-oriented recreational activity that combines physical exercise, social interaction, and personal identity. However, participation decisions are not only shaped by individual interest, but also by demographic readiness, psychographic orientation, digital promotional exposure, and psychological commitment to the sport. This study aims to examine the influence of demographic factors, psychographic factors, and digital promotion on golf participation decisions in Bandar Lampung, with sport commitment as a mediating variable. A quantitative survey approach was employed using purposive sampling. Data were collected from 287 golf participants through a structured questionnaire measured with a five-point Likert scale. The data were analyzed using multiple linear regression and Sobel mediation testing. The findings show that demographic factors, psychographic factors, digital promotion, and sport commitment have positive and significant effects on golf participation decisions. Sport commitment was found to be the strongest predictor and significantly mediated the relationship between demographic factors, psychographic factors, digital promotion, and golf participation decisions. These results indicate that golf participation is influenced not only by access, lifestyle, and digital promotion, but also by the level of commitment developed by participants. This study contributes to sport marketing literature by integrating individual, psychological, and digital factors into one empirical model of golf participation behavior.

The enactment of Indonesia's Law Number 20 of 2025 on the Code of Criminal Procedure (KUHAP 2025), effective January 2, 2026, introduces a paradigmatic shift in the coordination between investigators and public prosecutors: Article 58 mandates active coordination from the investigation stage, fundamentally departing from the sequential-passive model of the former KUHAP, while Article 70 imposes a strict seven-day deadline for indictment drafting after case files are declared complete. This study examines two interconnected questions: (1) how the legal framework governing investigator–prosecutor coordination is structured under KUHAP 2025 and related legislation; and (2) how that framework is implemented in practice at the Purwakarta District Prosecutor's Office. A normative–empirical mixed-method design was employed, integrating statutory, conceptual, and case-study approaches. Data were gathered through in-depth interviews with prosecutors and investigators at Purwakarta District Prosecutor's Office and Purwakarta Police Resort, case document analysis, and field observation. The theoretical framework combines Lawrence M. Friedman's Legal System Theory and Soerjono Soekanto's Law Enforcement Theory. Findings reveal that KUHAP 2025 delivers substantial normative advancement yet harbours three critical regulatory gaps: the absence of binding technical protocols for implementing mandatory active coordination, the lack of uniform and measurable case-file completeness standards, and no formal mechanism for resolving institutional disagreements on legal interpretation. On the ground, coordination at Purwakarta still operates under the old sequential-passive pattern despite the new law: case-file returns (P-19) remain frequent, driven primarily by absent expert testimony, insufficient factual narration in examination records, and mismatches between charged articles and legal facts. A Friedman–Soekanto diagnostic reveals simultaneous dysfunction across all three legal system components substance, structure, and legal culture with the entrenched 'waiting culture' between the police and the prosecution identified as the most resistant obstacle to reform.

Postpartum depression is a postpartum mental health disorder that significantly impacts maternal well-being, infant development, and family functioning. The high prevalence of postpartum depression in Indonesia is due to limited access to health services, low mental health literacy, and social stigma in the community. This indicates a significant gap between the need for maternal mental health services and the availability of existing interventions, making education a crucial component in efforts to prevent postpartum depression early. This study aims to analyze the prevention of postpartum depression in postpartum mothers through telenursing-based education and screening using the Edinburgh Postnatal Depression Scale (EPDS) in the community. A descriptive case study design was used, involving one respondent, a 25-year-old primigravida mother residing in the Bantul area. The intervention was implemented online via WhatsApp and video calls, including structured health education on postpartum psychological changes, adaptive coping strategies, and the importance of social support. The intervention also included daily remote monitoring of the respondent's condition via the WhatsApp mobile application. The EPDS was administered as a pre-test and post-test to evaluate changes in the respondent's psychological condition. The findings showed a significant decrease in the EPDS score from 16 (moderate depression) to 6 (minimal depression), indicating significant psychological improvement. These results imply that integrating EPDS screening, structured health education, and daily monitoring is an effective and accessible community-based approach to preventing postpartum depression, particularly for mothers with limited mobility and access to health services.

The Merdeka Curriculum, as a new educational policy in Indonesia, emphasizes the cultivation of the Pancasila Student Profile, which is rich in citizenship values. This study aims to analyze the application of citizenship values in Pancasila and Civic Education (PPKn) learning within the framework of the Merdeka Curriculum at the high school level. This research employs a qualitative descriptive method, collecting data through classroom observations, semi-structured interviews with PPKn teachers, and analysis of teaching modules and project-based learning documents (P5). The findings indicate that the application of citizenship values is primarily integrated through Project-Based Learning to Strengthen the Pancasila Student Profile (P5). Values such as mutual cooperation (gotong royong), critical reasoning (bernalar kritis), and global diversity (berkebinekaan global) are the most frequently emphasized. However, teachers face challenges, including the need to adapt pedagogical approaches, difficulties in assessing value-based outcomes authentically, and a lack of specific reference materials aligned with the new curriculum. The implication of this research is the urgent need for structured professional development for teachers and the development of comprehensive teaching guides to ensure the effective and standardized implementation of citizenship values in PPKn learning across all educational units.

This community service program aimed to strengthen community development in Negeri Soya by reinforcing group kinship ties within a multicultural society. As a traditional village in Ambon City, Negeri Soya is inhabited by people from diverse ethnic and social backgrounds who live together in one area. This diversity requires harmonious social relations supported by solidarity, brotherhood, and social awareness. The program focused on the men’s service group of the Elim Sector, Soya Congregation, as a forum for social and spiritual development. The activities were conducted through lectures, question-and-answer sessions, and collaborative practices in church services. The materials emphasized group kinship, social solidarity, togetherness, and the understanding that kinship is not limited to blood relations, but can also be built through shared territory, life experiences, and continuous social interaction. The results show that the Negeri Soya community has strong solidarity and active participation in religious and social activities. Values such as mutual cooperation, masohi, and the concept of orang basudara serve as important foundations for social integration. Men’s church service activities strengthened care, cooperation, and shared responsibility among members. These findings indicate that local cultural values remain relevant for managing diversity and building collective resilience in post-conflict communities. Overall, this program contributed positively to strengthening social relations and supporting harmonious, inclusive, and sustainable community life in Negeri Soya in daily life.

The Baduy community in Kanekes Village has economic potential based on traditional crafts with high cultural value, such as weaving and woven fabrics. However, the management of craft businesses is still carried out in a simple manner without a structured human resource (HR) management system. Problems faced include the lack of a clear division of tasks, inefficient production processes, and limited marketing strategies. These conditions hamper the optimal development of craft businesses. This community service activity aims to strengthen human resource management based on local wisdom in order to increase the capacity of traditional craft businesses in the Baduy community. The solution offered is training and mentoring on simple business management adapted to traditional values. Activities include socializing the importance of HR management, training on the division of labor within groups, improving production skills, and developing marketing strategies that respect local wisdom. The implementation method uses a participatory approach through the stages of preparation, training, mentoring, evaluation, and program sustainability. The community is actively involved in every stage of the activity to ensure the program's suitability to local socio-cultural conditions. This activity results in increased human resource capacity in craft business management, the establishment of a more organized work system, and an increased economic value of craft products. In addition, this activity is expected to produce a community empowerment model based on local wisdom and scientific publications in community service journals.

This study examines the application of the Problem Based Learning model combined with the interactive learning media Articulate Storyline in the learning of Science on the subject of Harmony in Ecosystems in class V of SDN Tamansari 1. The background of this study is based on the low student learning outcomes caused by the dominance of the lecture method and the minimal use of interesting media, so that students are less actively involved in learning. The purpose of this study is to describe the application of the media and improve student learning outcomes. The study used the Classroom Action Research method which was carried out in two cycles, including the planning, implementation, observation, and reflection stages, with 17 students as subjects. The results showed a significant increase in student learning outcomes in each cycle, where the average class score increased from 50 in the pre-cycle to 71.17 in Cycle I, and reached 91.76 in Cycle II. The percentage of learning completion also increased from 17.65% to 76.47%, until finally reaching 100% in Cycle II. These findings indicate that the use of the Problem Based Learning model combined with Articulate Storyline can encourage student engagement and deepen conceptual understanding. Therefore, it can be concluded that the implementation of these learning models and media is effective in improving science students' learning outcomes.

Microplastics are extremely small plastic particles that have become a major concern in public health and environmental studies. This literature review aims to discuss the sources of microplastics, their routes of exposure to the human body, their distribution in organs, and their potential health impacts. The method used was a literature review of scientific articles and reports published from 2021 onward, retrieved from Google Scholar, PubMed, ScienceDirect, and official websites of organizations such as the WHO, OECD, and the World Bank. The review findings show that microplastics originate from plastic waste, synthetic clothing, cosmetics, vehicle tires, and food packaging. These particles have been detected in blood, lungs, the placenta, feces, and various human tissues, indicating that human exposure is widespread. However, evidence from human studies is still limited, so cause-and-effect relationships cannot yet be confirmed with certainty. Based on these findings, further research is needed to better understand the long-term health effects of microplastics. In addition, efforts to reduce single-use plastics, improve waste management systems, and increase public education are essential to reduce exposure and prevent future health risks.

Rapid technological developments and social changes in the disruption era require organizations, including educational institutions, to adapt quickly and innovatively. This article discusses the importance of building psychological safety as a foundation to enhance team innovation and adaptability. Psychological safety is a condition in which team members feel safe to express ideas, ask questions, and share opinions without fear of negative consequences. The study employs a qualitative literature review method; analyzing various scientific sources related to psychological safety, leadership, and organizational management. Findings indicate that supportive and inclusive leadership plays a crucial role in fostering a psychologically safe environment, which in turn promotes open communication; effective collaboration, and innovative behavior. Developing psychological safety enhances intrinsic motivation, job engagement, and learning agility; enabling teams to respond effectively to rapid organizational changes. This research implies that organizations should prioritize psychological safety to strengthen team performance and sustainability in the dynamic disruption era.

This study aims to gain an in-depth understanding of the legal reasoning used by judges in the Administrative Court (PTUN) in annulling State Administrative Decisions (KTUN), as well as to examine the legal implications for the parties involved and the overall system of government administration. This research employs a normative juridical method with three approaches: statutory, conceptual, and case approaches. The analysis was conducted qualitatively by studying reference books and reviewing court decisions. The study shows that the annulment of KTUN by PTUN judges is based on three important factors, namely lack of authority (ultra vires), procedural defects, and substantive defects in the decision. In addition, violations of the General Principles of Good Governance (AUPB), such as the principles of legal certainty, prudence, and proportionality, also constitute important considerations for judges. In the judicial process, judges not only consider the formal aspects of the law, but also take into account substantive justice in order to protect citizens’ rights from improper governmental actions. The implications of the annulment of KTUN include the restoration of the plaintiff’s rights through the process of restitutio in integrum, the obligation of administrative officials to revoke or correct the issued decision, as well as the potential impact on third parties involved in the decision. In general, the annulment of KTUN serves as a legal control mechanism over government administration while also encouraging the realization of good and transparent governance within a state governed by the rule of law.

This study aims to examine the position of Pancasila as a grundnorm within the Indonesian constitutional system and the role of Islamic Religious Education as an ethical foundation in strengthening constitutional principles from the perspective of Islamic sociological legal theory. The methodology employed is a qualitative approach using library research, involving the analysis of various relevant literature sources. The findings indicate that Pancasila plays a fundamental role in the Indonesian legal system, serving as the highest norm in the hierarchy of laws, while also functioning as an ethical guideline in the life of the nation and the state. Islamic Religious Education plays a significant role in shaping the moral constitution through the understanding of values such as honesty, justice, responsibility, and trustworthiness, in line with the principles of Pancasila. The integration of Pancasila values and Islamic teachings, viewed through the lens of sociological law, demonstrates that effective law is not merely normative but also responsive to social realities. Therefore, Islamic sociological legal theory can strengthen the Indonesian constitutional system through the integration of normative, moral, and sociological values, resulting in a more responsive, just, and contextually relevant legal system.

This study aims to analyze the integration of Pancasila values and Islamic Religious Education (PAI) in shaping digital ethics and to examine the development of digital law through the Islamic Sociological Jurisprudence Theory approach. This research employs a qualitative method with a literature study approach based on relevant academic sources and journals. The findings indicate that the integration of Pancasila and PAI serves as a comprehensive ethical foundation in shaping digital behavior by reinforcing moral, spiritual, and social values. Furthermore, digital law is understood as a product of the interaction between social and religious values, which is dynamic and adaptive to technological developments. The Islamic Sociological Jurisprudence Theory contributes to constructing a legal paradigm that is not only formal-legal but also contextual and oriented toward public welfare (maslahah). The ethical-based digital law development model integrating Pancasila and Islamic values is considered relevant in addressing contemporary digital challenges, such as misinformation, privacy violations, and cybercrime. However, this study also identifies limitations, particularly in the implementation aspect, which remains largely normative and has not been optimally integrated into concrete policies. Therefore, it is necessary to strengthen adaptive regulations, develop applicable digital ethics education, and conduct further empirical research to establish a just and sustainable digital legal system.