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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

This study was motivated by the lack of standardized and objective assessment instruments for the teaching of the Syofyani Minang Payung Dance at the junior high school level, resulting in an assessment process that remains largely subjective and fails to measure psychomotor, affective, and cultural aspects in a balanced manner. This study aims to design and test the validity and reliability of a performance assessment rubric for the Syofyani Minang Payung Dance in cultural arts education at SMP Negeri 1 Bukittinggi. The research method used is a mixed-methods approach with a sequential explanatory design. The research subjects consisted of three dance instructors serving as expert judges, one cultural arts teacher, and 33 junior high school students. The research instrument was a performance-based assessment rubric covering five competency indicators: basic movement techniques; alignment with musical rhythm and dynamics; expression and character interpretation; mastery of payung props and movement safety; and accuracy of floor patterns and group synchronization. Quantitative data analysis was conducted using IBM SPSS Statistics through the Corrected Item-Total Correlation validity test and Cronbach’s Alpha reliability test, while qualitative data was analyzed using descriptive-interpretive methods. The research results show that all indicators have validity scores above 0.30 and are therefore considered valid, and the Cronbach’s Alpha reliability score is above 0.70, indicating good internal consistency of the instrument. Furthermore, the interview results indicate that the rubric is considered relevant, clear, and aligned with the learning characteristics of Syofyani’s Minang Payung Dance at the junior high school level. Consequently, the developed assessment rubric is deemed suitable for use as an objective, standardized, and contextually appropriate assessment instrument for dance education rooted in local culture.

This study examines teachers’ strategies in instilling citizenship values among students to develop democratic character and social responsibility. The background of this study is rooted in the increasing need to strengthen students’ civic awareness and character in the face of rapid social and technological changes. The objective of this research is to identify and analyze effective strategies used by teachers in integrating citizenship values into the learning process. This study employs a library research method by analyzing various relevant academic sources, including journals, books, and scholarly articles related to citizenship education and character development. The findings indicate that effective strategies include student-centered learning approaches, the integration of character education into civic education, the use of inquiry-based learning methods, and the utilization of technology to enhance student engagement. Additionally, extracurricular activities and a democratic classroom environment play a significant role in reinforcing students’ understanding and application of citizenship values. These strategies contribute to the development of students’ critical thinking, participation skills, and social awareness. The implications of this study suggest that teachers need to continuously innovate and adapt their teaching strategies to meet the evolving needs of students and societal demands. Furthermore, educational institutions should provide adequate support and resources to optimize the implementation of citizenship education in fostering responsible and democratic citizens.

The field of education, especially Islamic Religious Education (PAI), has seen substantial changes as a result of the advancement of digital technology and artificial intelligence (AI). The existence of digital media and AI offers numerous opportunities to improve the effectiveness, efficiency, and quality of education through interactive, flexible, and easily accessible learning resources. The purpose of this article is to analyze how artificial intelligence (AI) and digital media are used in Islamic Religious Education. This includes the idea of AI and digital media, AI-based learning materials, the use of AI in educational activities, ethical considerations of AI use, the effects and difficulties of integrating AI, and the Islamic viewpoint on technological advancement. This study employed a library research method by collecting data from relevant journals, books, and other scholarly sources. The findings indicate that the use of AI and digital media in PAI learning can enhance access to information, personalize learning experiences, improve evaluation effectiveness, and increase student engagement in the learning process. However, the implementation of AI also presents several challenges, such as limited digital literacy among teachers, inadequate facilities and infrastructure, ethical concerns, and the potential decline of direct educational interaction between teachers and students. Therefore, the utilization of AI in Islamic Religious Education should be carried out wisely while maintaining Islamic values, ethics, and the primary goal of Islamic education in shaping students’ character.

This study aims to analyze a comparison of coal stockpile volumes using the DJI Mavic 3 Pro Unmanned Aerial Vehicle (UAV) method versus the truck count method at PT. Mitra Barito. Data collection was conducted through aerial photography using a UAV at altitudes of 60 meters and 70 meters, as well as Ground Control Point (GCP) measurements using GPS. The aerial imagery data was processed using photogrammetry software to generate orthophotos and a Digital Elevation Model (DEM), followed by a geometric accuracy test based on the Geospatial Information Agency Regulation No. 6 of 2018, using the Circular Error 90% (CE90) and Linear Error 90% (LE90) parameters. The research results show that high-quality processing at an altitude of 60 meters yields a CE90 value of 2.1619 meters and an LE90 value of 4.3656 meters, thereby meeting the accuracy standards for RBI maps at a scale of 1:5,000, Class 3 for horizontal accuracy, and a scale of 1:10,000, Class 3 for vertical accuracy. Volume calculations of the stockpile using UAVs yielded a result of 22,750.900 m³, while the truck count method produced a volume of 23,503.300 m³. The volume difference between the two methods was 753.400 m³, with a deviation percentage of 3.2%. Based on the research results, the UAV method is considered capable of providing relatively accurate calculations of coal stockpile volume.

This study aims to develop a financial saving application to improve the saving habits of students, particularly in Islamic boarding schools, through an adaptive challenge approach. The system integrates a mobile iOS application with a backend service and Large Language Model (LLM) processing via Ollama. Transaction data entered by users is processed by the backend to generate contextual and personalized saving challenges, applying Reinforcement Learning concepts in an adaptive and data-driven manner. The research adopts a descriptive quantitative method using surveys and system testing with 50 respondents. Results indicate that the application functions as designed, with no significant bugs detected. User evaluation shows high satisfaction, with an average score of 4.3 out of 5, covering ease of use, interface design, and increased awareness of saving. The combination of gamification, reward systems, and adaptive personalization successfully motivates users to save regularly. This system demonstrates the potential of integrating AI-driven personalization to strengthen financial literacy and healthy financial habits among students in a fun and interactive way.methods, and a summary of the results. The abstract should end with a comment about the significance of the results or conclusions brief.

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.

This study is motivated by the importance of the recruitment process of Government Employees with Work Agreements (PPPK) in shaping perceptions of decent work among State Civil Apparatus (ASN). The objective of this research is to analyze the effect of the PPPK recruitment process on the perception of decent work among ASN in Tebing Tinggi City. This study employs a quantitative approach using a survey method by distributing questionnaires to 92 PPPK ASN respondents. The data analysis techniques include classical assumption tests, simple linear regression, coefficient of determination, and hypothesis testing using SPSS. The results show that the PPPK recruitment process has a positive and significant effect on the perception of decent work among ASN, with a contribution of 78.2%. This indicates that the better the implementation of a transparent, objective, and merit-based recruitment process, the higher the employees’ perception of decent work. The implications of this study emphasize the importance of improving the quality of the PPPK recruitment system to support the creation of professional ASN and enhance employee trust and job satisfaction within government institutions.

The use of synthetic dyes in the textile industry has caused various environmental problems due to waste that is difficult to degrade and has the potential to contaminate water and soil. Therefore, the development of environmentally friendly natural dyes is an important alternative to be explored. One potential but underutilized source of natural dye is kirinyuh weed (Chromolaena odorata L.), which is known to contain natural pigment compounds such as tannins and flavonoids. This study aims to analyze the dyeing quality of primissima cotton fabric using kirinyuh leaf extract with variations of alum and ferrous mordants through a mordanting process. The research employed an experimental method, including hot extraction of kirinyuh leaves, dyeing of primissima cotton fabric, and mordanting using alum and ferrous salts. The evaluation of dyeing quality focused on washing color fastness and light color fastness tests based on standard textile testing methods. The results indicate that the type of mordant significantly affects the resulting color quality. Alum mordant produced relatively lighter colors with good washing fastness, while ferrous mordant resulted in darker shades with similarly good washing fastness. However, color fastness to light showed relatively lower values, particularly in fabrics treated with alum mordant. Based on these findings, it can be concluded that kirinyuh leaf extract has the potential to be used as a natural dye for primissima cotton fabric, although further optimization is required to improve color resistance to light exposure.

The study highlights the importance of spirituality as a foundational framework for shaping adolescents’ life orientation in the complex digital era, marked by pervasive distractions and fragmented meaning. Ignatian spirituality, emphasizing reflection and lived experience as loci of encounter with God, provides a contextual approach to help adolescents construct deeper existential meaning. The study aims to examine how reflective practices within this framework support students of SMK Katolik St. Mikael Surakarta in internalizing spiritual values and navigating digital challenges. Using a qualitative descriptive case study design, data were collected from 195 reflective writings of twelfth-grade students and reduced to 90 representative samples. The film Hacksaw Ridge was employed as a reflective stimulus to enhance affective and existential engagement. Data analysis was conducted using the four pillars of Jesuit education: Competence, Conscience, Compassion, and Commitment. The findings reveal that all reflections contain at least one element of the 4C framework integrated with Ignatian spirituality. Reflection serves not only as a medium of self-expression but also as a transformative process fostering moral awareness, social sensitivity, and commitment to action. It effectively enables students to process both personal and digital experiences into meaningful learning. The study affirms the strong relevance of integrating spirituality, reflection, and Ignatian pedagogy in contemporary education, contributing to the formation of reflective, value-oriented individuals committed to the common good.

This study aims to analyze the process of internalizing legal values in the formation of a culture of law-abidingness by emphasizing the perspective of civic responsibility and the Islamic Sociological Jurisprudence Theory approach. The main problem studied is how legal values are not only understood normatively, but also internalized in the individual and collective consciousness of society, thus giving rise to sustainable law-abiding behavior. The research method used is a normative juridical approach with strengthening conceptual and sociological analysis of legal dynamics in society. The results show that the internalization of legal values is a multidimensional process involving cognitive, affective, and spiritual aspects, which are influenced by education, the social environment, role models, and the consistency of law enforcement. In the context of civic responsibility, a culture of law-abidingness is not only formal compliance with regulations, but also reflects moral awareness and active participation of citizens in maintaining social order. Meanwhile, Islamic Sociological Jurisprudence Theory offers an integrative paradigm that combines the normative dimensions of sharia with social reality, through a comparative approach of schools of thought, maqāṣid al-syarī‘ah, and an orientation toward the welfare of the people. This research emphasizes that the formation of an effective culture of law-abidingness requires a holistic and contextual approach, in which law is understood as a living and adaptive social instrument. Thus, the internalization of legal values based on civic responsibility and an Islamic sociological jurisprudence approach can encourage the realization of substantive justice, high legal awareness, and a civilized and sustainable social order.    

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

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.

Social crimes at the village level require participatory and sustainable prevention approaches. This study aims to analyze the synergy between the Sidoarjo Police Resort through its BINMAS unit and the residents of Waruberong Village in implementing the “4D” anticipation framework (Corruption, Narcotics, Bullying, and Sexual Harassment). A descriptive qualitative method was employed, utilizing data collection through observation, semi-structured interviews, and documentation analysis of socialization activities and police-community forums. The results indicate that this partnership successfully shifts the security paradigm from a reactive enforcement model toward proactive collaboration grounded in education and early reporting. BINMAS functions effectively as an administrative liaison, coordinating Senkom Mitra Polri, village officials, and residents, thereby standardizing and streamlining report handling processes. The implementation of the 4D framework significantly enhances public legal literacy, strengthens trust in the DUMAS Presisi system, and encourages active community participation in security patrols and awareness campaigns. Although minor administrative challenges, such as limited reporting literacy and fluctuating attendance, were identified, they can be mitigated through structured mentoring. Overall, the 4D-based partnership model proves highly relevant for strengthening participatory security ecosystems at the village level. This study recommends standardizing educational modules, providing continuous administrative training for Senkom members, and integrating digital reporting platforms to ensure the program's long-term sustainability.

The objective of this research is to examine how Minangkabau migrants in Bandung negotiate their cultural identity and how the philosophy "di mana bumi dipijak, di situ langit dijunjung" is implemented in their social adaptation. Data were collected through in-depth interviews with migrant students from West Sumatra at Universitas Pendidikan Indonesia, utilizing a qualitative approach and phenomenological method. The study indicates that Minangkabau migrants actively and dynamically negotiate their identity through integration patterns rather than assimilation. Situational strategies are employed; informants gain social acceptance by adopting local linguistic identities and behaviors (Sundanese) in public spaces, while maintaining core values in private spaces. The religious principles of Adat Basandi Syarak, Syarak Basandi Kitabullah, and the communication ethics of Kato Nan Ampek serve as adaptation guidelines that allow for external flexibility, such as in language and daily habits, while preserving fundamental, non-negotiable values. The success of this negotiation is significantly supported by the educational environment and the early internalization of traditional values. This process results in a hybrid identity, enabling migrants to preserve their authentic Minangkabau identity while becoming an integral part of the Bandung community.

The development of social media, particularly TikTok, has played a significant role in shaping beauty trends and constructing ideal facial standards among young generations. The TikTok Beauty phenomenon not only provides diverse makeup references but also reinforces specific visual representations that influence perceptions of beauty. This study aims to examine the relationship between the TikTok Beauty phenomenon, the process of facial standardization, and its implications for the development of makeup techniques. A qualitative approach was employed through content analysis and literature review. Primary data were obtained from observations of popular TikTok videos under the hashtags #beautytrend, #makeup, and #tiktokbeauty, while secondary data were drawn from scholarly literature on beauty standards, social construction, and social media algorithms. The findings indicate that TikTok strengthens certain beauty standards such as fair skin, slim facial contours, and a flawless appearance which in turn influence techniques like complexion layering and visual manipulation. However, the platform also provides space for more inclusive and diverse beauty narratives. This study recommends enhancing aesthetic literacy to ensure that makeup practices prioritize diversity and the unique characteristics of each individual.

The development of digital technology has brought about significant changes in various aspects of life, including early childhood faith education. Today’s children are growing up in an environment familiar with digital media, making it necessary to adopt a catechetical approach that keeps pace with the times. This article aims to examine the use of digital catechesis as a tool for early childhood faith education. This study employs a qualitative method with a literature review approach, gathering data from books, scientific journals, research articles, Church documents, and other relevant sources. The data is analyzed using descriptive-qualitative methods to understand the benefits, challenges, and role of digital catechesis in fostering children’s faith. Research findings indicate that digital catechesis can serve as an effective, engaging, and interactive medium for helping children learn about the teachings of the faith from an early age. The use of animated videos, religious songs, educational images, and learning apps can enhance children’s interest in learning, attention, and understanding of Catholic faith values. Furthermore, digital catechesis also assists the Church, families, and schools in providing faith education that is more contextual and aligned with the world of today’s children. However, the use of digital media still requires the guidance of parents, teachers, and faith mentors so that children receive proper direction and are protected from the negative impacts of technology. Thus, digital catechesis is a relevant tool in the faith education of young children when used wisely and purposefully. The presence of digital media does not replace the role of faith educators but serves as a tool that enriches the process of proclaiming the faith in the modern era.

In the era of the Industrial Revolution 4.0 and Society 5.0, digital technology is developing rapidly. This has prompted the world of education to make major changes in learning methods, including in Islamic Religious Education (PAI). Until now, PAI has used outdated methods. These methods are inadequate to meet the needs of children who are accustomed to technology. Therefore, there is a need for technology integration in the learning process. This study aims to determine how to use E-Learning, Learning Management Systems (LMS), and Artificial Intelligence (AI) in PAI learning. This study also aims to determine the benefits, challenges, and strategies for implementing these technologies. This study used a qualitative approach with a literature review type. Data were obtained from various sources, such as books, scientific articles, journals, and relevant documents. The results show that the use of E-Learning, LMS, and AI can improve the quality of PAI learning. E-Learning makes learning easier and more flexible. LMS helps manage learning more systematically. AI helps make learning more personalized and tailored to students' needs. However, the implementation of these technologies still faces several challenges, such as limited infrastructure and low digital skills of teachers and students. Therefore, a strategy is needed to address these challenges. This strategy includes enhancing digital capabilities, strengthening technological infrastructure, developing innovative learning media, and monitoring the use of technology based on Islamic values. This will ensure optimal integration of technology into Islamic Religious Education learning.

This research aims to analyze how gender and culture are represented in the Grade VIII Indonesian language textbook of the Merdeka Curriculum. The focus is on various aspects of gender representation, such as the depiction of characters, their roles, activities, attributes, social status, gender equality, and stereotypes related to gender. Additionally, the study explores cultural representation, which encompasses cultural forms, diversity, local traditions, context, ways of presentation, and the cultural values expressed in the textbook's texts and illustrations. The methodology employed is descriptive qualitative research with a content analysis framework. Data were gathered through documenting and note-taking methods on the content of the textbook, followed by an analysis process that includes identification, classification, interpretation, and drawing conclusions. Findings indicate that the gender representation in the textbook predominantly portrays men as leading figures in public roles, leadership, and decision-making, whereas women are mainly shown in nurturing, domestic, and supportive capacities. On the other hand, the cultural representation illustrates the variety of Indonesian culture by showcasing regional customs, languages, art forms, traditional cuisine, practices, and societal norms. The study concludes that although the textbook presents cultural diversity adequately, there is a need for improvement in gender representation balance to better reflect equality values in the educational experience.