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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.

This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.

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 rapid growth of digital commerce has encouraged companies to integrate digital and physical marketing channels to create seamless and consistent customer experiences. This study aims to analyze the role of integrated marketing channels through omnichannel strategies, the utilization of Artificial intelligence (AI), and their impact on customer experience in the context of digital commerce. The study employs a Systematic literature review (SLR) approach by examining relevant scholarly articles related to omnichannel marketing, AI technologies, and customer experience. The findings indicate that integrated marketing channels supported by AI enhance service personalization, customer engagement, operational efficiency, and the quality of interactions between companies and customers. Furthermore, the implementation of omnichannel strategies contributes to higher customer satisfaction and loyalty by providing a more connected experience across multiple customer touchpoints. However, the implementation of integrated marketing channels still faces several challenges, including fragmented channel integration, technological complexity, high investment requirements, and concerns regarding customer data privacy and security. Therefore, effective management of integrated marketing channels is essential for improving customer experience while creating sustainable competitive advantages for companies in an increasingly dynamic digital era.

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.

This study was conducted based on the low level of student activeness and understanding in IPAS learning at the elementary school level. The objective of this research was to determine the effectiveness of the role play method in improving students’ activeness and learning outcomes. This study employed a classroom action research approach involving 27 students. The data were collected through observation and evaluation of student learning outcomes. The findings revealed a significant improvement in both student participation and understanding after the implementation of the role play method. Students became more active in asking questions, responding to the teacher, and participating in classroom activities. In terms of learning outcomes, 85.2% of students were able to answer questions correctly and demonstrated good understanding, while the remaining 14.8% also achieved the minimum criteria. These results indicate that learning through direct experience enhances students’ comprehension. The implication of this study suggests that the role play method can be used as an effective alternative teaching strategy to create an interactive, engaging, and student-centered learning environment in elementary education.

Makeup artistry is an aesthetic skill that functions to enhance appearance while concealing facial imperfections. Techniques such as foundation selection, foundation mixing, contouring, and natural makeup application have been proven to influence the quality of makeup results, both in terms of durability and aesthetics. This study employs a literature review method by examining several national and international journals related to makeup techniques. The findings indicate that selecting the appropriate type of foundation and applying mixing techniques can extend makeup durability for more than two hours. Furthermore, daily makeup practice significantly improves practical skills within society, while basic knowledge of cosmetics shows a positive correlation with the proper use of cosmetic products. This review emphasizes that makeup techniques have a tangible impact on the quality of results, whether in educational contexts, professional practice, or everyday needs. Therefore, mastering both theoretical and practical aspects of makeup artistry is essential for the sustainable development.

The concept of the natural look in facial makeup has continued to develop along with changes in beauty trends that emphasize a simple, clean, and natural appearance. The natural look is not only understood as a makeup technique involving minimal cosmetic use, but also as a representation of modern beauty perceptions that highlight authenticity and self-confidence. This article aims to examine the concept of the natural look in facial makeup through a literature review of various relevant previous studies. The method used is a literature study by analyzing scientific journals and books discussing natural makeup techniques and beauty perceptions. The results indicate that the natural look is achieved through the use of neutral colors, light application techniques, adjustment to individual facial characteristics, and the selection of cosmetics that support a natural appearance. In addition, beauty perceptions of the natural look tend to emphasize simplicity, cleanliness, and an authentic impression. Therefore, the natural look can be understood as a combination of technical approaches in makeup and social constructions of the meaning of beauty in society.

This study aims to analyze the comparison of financial distress levels measured using the Current Ratio (CR) and the Altman Z-Score model and their relationship with stock returns in PT Charoen Pokphand Indonesia Tbk and PT Japfa Comfeed Indonesia Tbk during the period 2020–2025. The research method used is a quantitative approach with a comparative design, and the sampling technique applied is purposive sampling. Data analysis was conducted using descriptive statistics and multiple linear regression.The results indicate that there is no statistically significant difference between the two companies in terms of hal Likuidity (Current Ratio) dan Financial Distress (Altman Z-Score). Descriptively, CPIN has an average Current Ratio of 1.959 and a Z-Score of 3.700, while JPFA shows slightly lower values but remains within the safe zone. Furthermore, regression results reveal that liquidity and financial distress do not have a significant effect on stock returns. Both companies are classified in the safe zone, indicating a healthy financial condition and low risk of financial distress, while stock returns tend to be volatile and influenced by external factors.The study recommends that companies maintain a balance between liquidity, profitability, and capital structure to sustain financial stability. Investors are advised to consider not only financial ratios but also external factors in decision-making. Future researchers are encouraged to expand the sample size and include additional variables to obtain more comprehensive results.

Introduction: Ramadan fasting is a religious practice observed by Muslims by abstaining from food and drink from dawn until sunset. These changes may increase the need for oral and dental healthcare. However, some Muslims still perceive that undergoing dental treatment while fasting may invalidate the fast, leading many patients to delay or avoid dental visits during Ramadan. Objective: This study aims to review and analyse various scientific literature regarding the safety and permissibility of dental procedures for patients who are observing fasting during Ramadan. Methods: This study used a narrative review method by searching scientific articles through PubMed, ScienceDirect, and Google Scholar databases using keywords relevant to the research topic. Articles were selected based on predetermined inclusion and exclusion criteria. Results: The review findings indicate that most dental procedures, such as local anaesthesia administration, scaling, restorative treatment, and tooth extraction, generally do not invalidate fasting as long as no material or fluid is intentionally swallowed. The use of suction devices, isolation of the treatment area, and proper scheduling of dental procedures are important factors in minimizing the risk of swallowing fluids during treatment. Conclusion: Most dental procedures can be safely performed on fasting patients while still considering both medical aspects and Islamic principles. Patient education regarding the safety of dental procedures during fasting should be improved to prevent delays in treatment and complications in oral health.

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 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 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.

The era of globalization has brought significant changes to the world of education, particularly to the role and function of teachers in the learning process. Advances in information technology and easy access to knowledge require teachers to reorient their roles from mere transmitters of material to facilitators, motivators, curators of information, and mentors of student character. This study aims to examine the nature of the reorientation of the role and function of teachers in the era of globalization, the reasons for the need for such changes, the ideal form of teacher roles, and the challenges and strategies in their implementation. The research method used is a qualitative approach with a literature study through analysis of various books, journals, and relevant scientific sources. The results show that the reorientation of teacher roles is necessary due to changes in learning paradigms, technological developments, and the demand for 21st-century skills. However, the process still faces various challenges such as low digital literacy, conventional mindsets, limited training, and a lack of infrastructure support and parental participation. Therefore, strategies are needed such as improving teacher professional development, strengthening digital literacy, simplifying administrative burdens, and strengthening cooperation between schools, parents, and the community. With this reorientation, it is hoped that teachers will be able to play an optimal role in improving the quality of education and developing a generation that is intelligent, has character, and is ready to face global challenges.

This study examines land-use transformation in Hamadi Rawa I, Jayapura City, focusing on the shift from water catchment to built-up land during 2015–2025. The research employs a mixed-methods approach, combining analysis of Google Earth imagery with interviews with community, government, and academic stakeholders. Findings show the catchment area shrank by 48% (from 17% to 8% of the total area), decreasing from 21.36 ha to 11.20 ha. The built-up area increased by 28.1%, from 70.78 ha to 90.67 ha, with residential development driving most of this growth (51.1%). Three spatial transformation patterns emerged: ecological fragmentation, linear service sector development, and concentric settlement patterns. Idle land was also identified as a phenomenon that damages ecological functions without providing a productive benefit. The conversion was driven by physical-natural factors (basin topography), economic factors (market proximity), socio-demographic factors (urbanization), and especially institutional factors. Customary land transactions outside state control created a governance dilemma between humanity and public order. The study recommends a proactive-collaborative approach with three key instruments: (1) Zero-Reclamation with Adaptive Permitting for stilt structures; (2) fiscal intervention using Idle Land Tax and Payment for Ecosystem Services; and (3) a Participatory Spatial Control Task Force integrating government and customary authorities (Ondoafi).

The era of globalization presents challenges of moral degradation among students, including intolerance, individualism, and declining nationalism. These issues make character strengthening through Civic Education (PKn) a national priority. This study aims to analyze the effectiveness of PKn in shaping students’ character, particularly the values of religiosity, nationalism, independence, mutual cooperation, and integrity. The research employed a qualitative Library research design using secondary data from 18 scientific journals and 2 books published between 2021 and 2026. Data were collected through literature review and analyzed using content and thematic analysis to identify patterns of PKn implementation and its impact. The findings indicate that PKn effectively develops Good citizenship through character education based on Pancasila. Effective strategies include teacher role modeling, Problem-Based Learning (PBL), and digital media such as infographics and gamification. These approaches were reported to improve empathy, national loyalty, and integrity among students. The Merdeka Curriculum further supports character development by emphasizing affective learning through authentic projects. Challenges arising from foreign cultural influences can be addressed through collaboration among schools, families, and communities. The study concludes that PKn plays a significant role in strengthening students’ character and supporting the realization of Golden Indonesia 2045 through sustainable character education.

The high volume of fishery waste often poses an environmental burden if not managed appropriately. Conversely, the circular economy concept offers sustainable solutions aligned with Maqasid Shariah principles in environmental preservation (Hifz al-Alam). This study aims to educate and implement the processing of fish waste into high-quality animal feed that meets halal standards (halalan thayyiban). This research employs a qualitative approach using the Asset-Based Community Development (ABCD) method. The stages include socializing the concept of Sharia circular economy, technical training on waste processing, and nutritional content testing of the feed. The findings indicate an 80% increase in community understanding regarding the economic value of waste. Technically, the fish waste processing successfully produced an alternative animal feed with high protein content, free from najis (impurity) through a purification process according to Islamic jurisprudence (fiqh). This education proves that the integration of circular economy and Sharia principles not only reduces environmental impact but also creates sustainable economic added value for local communities.