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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.

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.

This article analyzes the recurring flash floods in North Konawe Regency which occurred in 2000, 2013, 2016, 2018, 2019, 2020, and 2021 as ecological disasters causally linked to three decades of natural resource exploitation through logging, oil palm plantations, and open-pit nickel mining. Using the dual framework of political ecology and environmental justice, this article argues that these disasters are not neutral natural events, but rather the product of a structured system of injustice: the indigenous Culambacu People and Tolaki People communities who were excluded from decision-making processes regarding extractive permits have borne the greatest burden of the destructive impacts of such exploitation. The most dramatic event was the 2019 flood that devastated Tapuwatu Village, causing losses amounting to Rp 674.8 billion and displacing 9,908 people. The findings demonstrate that the dominant government narrative framing the floods as “natural disasters caused by high rainfall” constitutes a strategic denial that obscures structural responsibility. Empirical data including rates of deforestation, exceeded river carrying capacity, and the chronology of concession expansion correlated with disaster escalation support the ecological disaster thesis. Persistent poverty amid abundant natural resource wealth confirms the condition of a “sacrifice zone,” characterized simultaneously by distributive, recognitional, and procedural injustices.

This study examines strategic management practices in the administration of nonformal education programs within Indonesia’s 3T regions areas characterized by geographical isolation, limited infrastructure, and socioeconomic challenges. The research aims to identify effective management strategies that enhance institutional sustainability, leadership performance, and community participation in nonformal educational settings. Employing a qualitative narrative review approach, this study synthesizes findings from 45 peer-reviewed publications published between 2019 and 2025, encompassing themes of adaptive management, participatory leadership, policy integration, and digital innovation. The analysis reveals that institutions adopting flexible and context-responsive strategies supported by collaborative governance and technological integration demonstrate higher resilience and alignment with local educational needs. Furthermore, the review highlights the importance of leadership adaptability, stakeholder engagement, and community-based governance as central pillars for achieving sustainable education outcomes in resource-limited contexts. The study contributes theoretically by proposing a model of “localized strategic adaptability,” which integrates principles of strategic management with participatory education governance, and practically by offering evidence-based insights to guide policymakers and administrators in strengthening nonformal education systems.

Child marriage remains a significant issue in legal practice in Indonesia, despite the establishment of a minimum age requirement under Law Number 16 of 2019. In practice, the mechanism of marriage dispensation is often utilized without fulfilling the standard of “urgent reasons” as required by statutory regulations. This study aims to analyze the meaning of “urgent reasons” in granting marriage dispensation and to examine the judge’s considerations in Decision Number 442/Pdt.P/2023/PA.Krw based on Supreme Court Regulation Number 5 of 2019. This research is a normative legal study employing statutory and case approaches. Legal materials were obtained through library research and analyzed using a descriptive qualitative method with a deductive approach. The findings conclude that “urgent reasons” should be interpreted strictly as real and objectively verifiable emergency circumstances. However, in the decision, the judge granted the application without clear emergency conditions, relying instead on the prospective husband’s financial readiness and the child’s status as mukallaf. This indicates a discrepancy between legal norms and judicial practice, as well as the suboptimal application of the principle of the best interests of the child.

This study aimed to develop Matif (Interactive Mathematics) video media on the topic of equivalent fractions for fourth-grade elementary school students and to determine its validity, effectiveness, and student responses. The research employed a Research and Development (R&D) method using the ADDIE model. It was conducted at SD Muhammadiyah Gresik during the first semester, involving 19 fourth-grade students. Data collection techniques included interviews, expert validation sheets for content and media, learning effectiveness tests, and student response questionnaires. The development process followed five ADDIE stages. (1) Analysis involved curriculum analysis, needs analysis, and student characteristics analysis. (2) Design focused on creating the learning flow and storyboard. (3) Development produced the video media, which was validated by experts. The material expert validation score reached 97.5%, and the media expert validation score was 91.6%, both categorized as very valid. These results indicate that the material is highly appropriate, clear, and easy to understand, while the media demonstrates excellent quality in visual, audio, typography, language, and usability aspects. (4) Implementation involved testing the media on students, with an N-Gain score of 0.8405, categorized as high, indicating that the media effectively improves students’ understanding. (5) Evaluation was conducted through student response questionnaires, resulting in a score of 95.5%, categorized as very good, showing that students found the media engaging, easy to use, and helpful. Overall, the Matif video media meets the criteria of validity and effectiveness, making it suitable as an innovative learning alternative, with potential for further development through enhanced animations and varied exercises.

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.

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 examine the influence of principal leadership and school culture on teacher discipline in public junior high schools (SMP Negeri) in Sembawa District, Banyuasin Regency. Teacher discipline is an important factor in supporting the effectiveness of the learning process and achieving educational goals. Therefore, understanding the factors that contribute to teacher discipline is essential for improving school performance. This study employed a quantitative research method with a purposive sampling technique. Data were collected through the distribution of questionnaires consisting of 66 statement items measured using a five-point Likert scale. The collected data were analyzed using statistical techniques to determine both partial and simultaneous effects of the independent variables on teacher discipline. The results indicate that principal leadership has a positive and significant partial effect on teacher discipline, as evidenced by a t-value of 5.127, which is greater than the t-table value of 1.9809. School culture also has a positive and significant partial effect on teacher discipline, with a t-value of 7.244 exceeding the t-table value of 1.9809. Furthermore, principal leadership and school culture simultaneously have a positive and significant effect on teacher discipline, as indicated by an F-value of 34.152, which is greater than the F-table value of 3.07. These findings suggest that strengthening principal leadership and fostering a positive school culture can significantly improve teacher discipline.

Gesture  recognition  technology  is  used  to  detect  movements  through  image processing,   enabling  computers  or digital devices to understand and interpret human  body  movements  as  input  or  commands.   This  technology  has  great potential  to bridge communication between the deaf community and individuals without   hearing   impairments,    enhancing  interaction  and  enriching  mutual understanding between the two.  However,  the accuracy ofgesture recognition is often  affected  by variations in the distance between hand landmarks.  Based on this problem,  this research proposes a methodfor stabilizing the measurement of distances between landmark points  in gesture recognition through a polynomial regression  approach.   Specifically,   the  distance  between  hand  landmarks  is calculated and stabilized using polynomial  regression to improve the accuracy of gesture recognition.  This method is implemented using the MediaPipeframework to detect and track hands in real-time,  and the OpenCV library to manage video. The  research  results  show  that  this  approach  can  significantly  improve  the stability  and accuracy  of gesture detection.   The developed system successfully detects gestures for  letters A  through F with a high accuracy  rate,  averaging above 98,3%.  The use ofpolynomial regression helps enhance detection accuracy by reducing noise in the landmark data.

Sign language recognition is one of the areas of image recognition and image processing technology that is developing rapidly in human-computer interaction. This technology really helps the deaf and speech impaired in communicating with non-disabled people. This research aims to examine the optimization of an object tracking system in sign language using the Gaussian Mixture Model (GMM) and Kalman Filter by including the Region of Interest (ROI). The proposed system consists of three main components, namely hand detection, object extraction, and classification. Hand detection is done using the Kalman Filter to track hand movements accurately. Next, Region of Interest (ROI) features, such as shape, direction and movement features, are extracted from the detected part of the hand. These features are fed into a Gaussian Mixture Model (GMM) classifier, which can recognize sign language based on the extracted features. With the combination of GMM and Kalman Filter in this research, it can increase accuracy in object tracking, reduce interference from the background, and ensure the tracking focus remains on important objects. The dataset used is in the form os SIBI alphabet symbols, namely A-Z with the amount of data for each class, namely 620 images. Based on the research result, model testing using GMM, Kalman Filter and ROI produces higher accuracy of 99%, while model testing using GMM and ROI produces accuracy of 90%.

Based on the 2023 Indonesian Health Survey, the prevalence of overweight among adults reached 23.4% nationally and 24.5% in East Java Province. This condition highlights the need for food innovation, particularly high-fiber snacks suitable for overweight adults. This study aimed to develop cereal based on okara (soy pulp) flour and mung bean flour as an alternative high-fiber food product. Organoleptic testing was conducted on 30 semi-trained panelists evaluating color, aroma, texture, and taste using hedonic and hedonic quality tests. Data were analyzed using the Kruskal–Wallis test followed by the Mann–Whitney test, while nutrient content analysis was analyzed using One Way ANOVA followed by Duncan’s post hoc test. The results showed that in the hedonic test, color, texture, and taste parameters were significantly different (p<0.05), while aroma was not significantly different (p>0.05). In the hedonic quality test, color and taste showed significant differences (p<0.05), whereas aroma and texture did not (p>0.05). Overall, formulation 922 was the most preferred by panelists. The nutritional content of the cereal ranged from 407–410 kcal for energy, 76.44–77.53% carbohydrates, 8.91–9.66% protein, 6.80–7.30% fat, 5.20–5.51% moisture, 1.26–1.41% ash, and 9.72–10.90% total dietary fiber. The developed cereal is classified as a high-fiber food and has potential as a healthy snack for overweight adults.

This research aims to: (1) find out the overview of Investment Interests, Information Technology Advancements, and Investment Knowledge; (2) analyze the influence of Information Technology Advancement and Investment Knowledge on Investment Interest both partially and simultaneously. The population in this study is 1,280 students of the Faculty of Economics and Business, Nusa Nipa University. Based on the Slovin formula, the sample in this study amounted to 98 people. Sample distribution was carried out using proportionate stratified random sampling technique. Data were collected through questionnaires and analyzed using descriptive and statistical methods of multiple linear regression. Hypothesis testing is carried out through the F test and the t test. The results of the descriptive analysis showed that the Investment Interest variable was in the good criteria, the Information Technology Advancement variable was in the good criteria, and the Investment Knowledge variable was in the good criteria. The results of the t-test statistics show that partially the variable of Information Technology Advancement has a positive and significant effect on Investment Interest. Furthermore, the variable of Investment Knowledge has a positive and significant effect on Investment Interest. The statistical results of the F test show that simultaneously the variables of Information Technology Advancement and Investment Knowledge have a significant effect on Investment Interest. The results of the determination analysis showed that the two independent variables in this study were able to explain the variation in the fluctuation of Investment Interest in the Capital Market in students of the Faculty of Economics and Business, Nusa Nipa University by 33.2%. Keywords: Information Technology Advancement, Investment Knowledge, Investment Interest

Picky eating behavior is a common feeding problem among preschool-aged children. Children who exhibit picky eating tendencies often reject various types of food, especially new or unfamiliar ones, placing them at risk of an imbalanced intake of macronutrients such as energy, protein, fat, and carbohydrates. Inadequate nutritional intake over the long term may negatively impact a child's nutritional status and growth. This study aims to examine the relationship between picky eating behavior and the adequacy of macronutrient intake including energy, protein, fat, and carbohydrates and nutritional status among preschool children at Lab School 1 Kindergarten, State University of Surabaya. This research utilized a quantitative design with a cross-sectional approach. The study population consisted of 60 preschool children aged 4–6 years (48–73 months), selected using total sampling. After applying inclusion and exclusion criteria, a total of 37 respondents were included. Data were collected using the Child Eating Behavior Questionnaire (CEBQ) to assess picky eating behavior, interviews with the Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ) to evaluate macronutrient intake, and anthropometric measurements to determine nutritional status. Data analysis was conducted using the Spearman Rank correlation test. The results showed a significant relationship between picky eating behavior and energy intake (p=0.002; r=0.495), fat intake (p=0.002; r=0.502), carbohydrate intake (p=0.006; r=0.443), and nutritional status (p=0.002; r=-0.493) among preschool children at Lab School 1 Unesa. However, no significant relationship was found between picky eating behavior and protein intake (p=0.064; r=0.307).

This study was motivated by the widespread use of Indonesian language that does not conform to standard linguistic rules in Instagram content created by adolescents aged 17–20 years. As a social media platform that emphasizes speed and self-expression, Instagram encourages users to employ slang, nonstandard abbreviations, code-mixing, and various other forms of language deviation. This study aims to analyze the forms of Indonesian language errors found in adolescents’ Instagram content and to identify the factors contributing to these errors. The research employed a descriptive qualitative approach using content analysis. Data were collected through questionnaires distributed to 37 respondents and through an analysis of their language use habits on Instagram. The findings reveal that the most dominant forms of language errors include letter repetition to emphasize emotion (78.3%), nonstandard abbreviations (56.7%), code-mixing between Indonesian and foreign languages (45.9%), and the use of slang (45.9%). The main factors influencing the use of nonstandard language are the desire to appear relaxed and informal (86.5%), the need for fast and practical communication (67.6%), and the influence of peer groups and social media trends. Nevertheless, most respondents are aware that these habits may negatively affect their formal language skills. This study highlights the importance of digital language literacy to help adolescents use Indonesian appropriately according to different communication contexts.

The remarkable global ascent of BTS, a South Korean music group operating under HYBE Corporation (formerly Big Hit Entertainment), is inseparable from a well-orchestrated and adaptive public relations (PR) framework. This study examines how HYBE's PR strategies propelled BTS to international prominence while simultaneously aligning with the Sustainable Development Goals (SDGs), specifically SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure). Adopting a qualitative methodology grounded in media content analysis, the research draws on data from international and national news coverage, official press materials, public speeches, digital platform content, and institutional documents spanning 2017 to 2024. Four strategic pillars characterize BTS's PR approach: (1) sustained authentic narrative construction centered on personal growth, social responsibility, and cultural pride; (2) strategic mobilization of the global ARMY fanbase as an active communication force; (3) integrated and innovative utilization of digital media ecosystems to amplify reach and engagement; and (4) deliberate repositioning of BTS as contributors to economic and industrial transformation through creative industries. The findings demonstrate that BTS's PR model does not merely serve commercial objectives; rather, it operates as a mechanism for advancing inclusive economic growth and fostering innovation within the global creative sector. This research contributes to the theoretical discourse on PR's evolving role at the intersection of popular culture, digital innovation, and global sustainable development.

This study analyzes the formation of a digital brand community through Persib Bandung fan interactions on social media. The research aims to examine how content distribution, message functions, and engagement patterns contribute to the construction of collective identity and digital rituals among supporters. Using a qualitative-interpretative content analysis supported by quantitative descriptive data, this study analyzes 418 posts published on Persib Bandung's official Instagram, TikTok, Facebook, X/Twitter, and YouTube accounts from November 27 to December 10, 2025. The findings reveal that Persib Bandung generated 29,543,663 total interactions, with Instagram and TikTok emerging as the most affective platforms for engagement. Non-match content (41.4%) and emotional or motivational messages (40.2%) dominate communication. Despite high public engagement, no evidence of two-way talkback from the official account was found, indicating a predominantly one-way communication model. The study concludes that Bobotoh function as a digital brand community characterized by collective identity, digital rituals, loyalty, symbolic ownership, and co-creation of brand meaning through measurable public interactions. This research contributes to the understanding of sports communication and digital brand communities in emerging football markets.

This research aims to examine the cultivation system of porang as an intercrop in pine forests, analyze production costs, revenue, and income, as well as assess the feasibility of porang farming in Jatirejo District, Mojokerto Regency. The research employed a census method with 20 purposively selected porang farmers as respondents. Data were analyzed by calculating production costs, revenue, income, and the Revenue Cost Ratio (R/C). The results showed that most farmers applied the row planting system, which achieved higher productivity (4,507 kg/ha) compared to the random planting system (4,029 kg/ha), as orderly arrangement supports optimal growth. The average production cost in the row planting system was IDR 9,697,833, with revenue of IDR 42,250,000 and income of IDR 32,552,167. Meanwhile, the random planting system incurred an average production cost of IDR 8,369,500, with revenue of IDR 26,437,500 and income of IDR 18,068,000. The R/C ratio of the row planting system was higher, at 4.3, compared to 3.1 in the random planting system. These findings indicate that the row planting system is more profitable and cost-efficient, and porang farming is economically feasible to be developed as an intercrop in pine forests.

The growth of e-commerce has made online marketplaces a major channel for purchasing fashion products, yet it has also increased consumer concerns about counterfeit goods, especially in shoes and sneakers. This study examines the role of Shopee Mall Signal Perception in increasing Purchase Intention for original shoes among Gen Z consumers by considering the mediating roles of Perceived Shopping Security and Decision Convenience. A quantitative explanatory approach was used, involving 239 Gen Z Shopee users in Indonesia selected through purposive sampling. Data were collected through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling with SmartPLS. The findings show that Shopee Mall Signal Perception positively affects Perceived Shopping Security (β = 0.430), Perceived Shopping Security improves Decision Convenience (β = 0.399), and Decision Convenience increases Purchase Intention (β = 0.359). Shopee Mall Signal Perception also has a direct effect on Purchase Intention (β = 0.182), while the serial mediation effect through Perceived Shopping Security and Decision Convenience is significant (β = 0.062). These findings imply that marketplace labels can function as authenticity signals that reduce uncertainty, simplify consumer decisions, and strengthen confidence in purchasing original products online.