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This research investigates intelligent cooling system design for main ship engines operating in tropical waters, integrating advanced machinery engineering with human factors to address thermal management challenges affecting engine performance, reliability, and crew operational effectiveness. Tropical maritime environments impose severe cooling demands through elevated seawater temperatures (28-32°C), high ambient conditions (28-35°C), and accelerated biofouling, reducing conventional cooling system effectiveness by 15-25% while increasing maintenance burdens and operational risks. Through qualitative analysis involving marine engineers, chief engineers with tropical operational experience, cooling system manufacturers, naval architects, automation specialists, and maritime training institutions, this study examines how intelligent cooling systems incorporating variable-speed pumps, adaptive control algorithms, predictive maintenance, and crew-centered interfaces can optimize thermal management while supporting effective human-machine collaboration. Results demonstrate that intelligent systems can reduce cooling energy consumption by 20-35%, improve temperature stability by 50-65%, extend maintenance intervals by 40-80%, and enhance crew situational awareness through intuitive monitoring interfaces, while requiring comprehensive training programs developing technical understanding and operational competencies. Key implementation challenges include control system complexity, sensor reliability in harsh marine environments, integration with existing engine management platforms, crew competency development requirements, and lifecycle cost justification. Findings reveal that successful intelligent cooling system implementation requires holistic sociotechnical approach addressing machinery engineering optimization, automation technology deployment, and human capability development through coordinated design and training strategies. This research contributes to marine engineering literature by providing integrated frameworks for intelligent system design incorporating machinery performance, automation capabilities, and human factors supporting operational excellence in tropical maritime operations.

This research is driven by the urgency of maintaining the quality of the Indonesian language in the realm of online journalism, particularly on major media platforms such as CNN Indonesia. Online media plays a central role as the primary source of information, but the speed of publication often encounters linguistic errors that have the potential to damage credibility and lead to misinterpretation among readers. The focus of the study on syntactic errors is crucial because errors in sentence structure, diction, and conjunctions directly affect the meaning and effectiveness of communication. This study aims to analyze and describe the forms of syntactic errors (including sentence pattern errors, non-standard diction, and conjunction redundancy) and offer recommendations for improvement based on standard Indonesian language rules. The method used is a qualitative descriptive approach with a syntactic approach. Data in the form of linguistic units at the phrase, clause, and sentence levels from all CNN Indonesia news texts for the period of August 2025, collected using the Listen and Note Technique. The findings are anticipated to show a dominance of sentence ineffectiveness, incorrect use of conjunctions, and temporally illogical diction errors. This research is expected to contribute as a practical guide for editors and news writers to improve the quality of editing, while also supporting literacy efforts and the use of good and correct Indonesian in the digital public space.

Academic stress is a prevalent issue among Indonesian students, affecting both their academic performance and mental well-being. This study investigates the effectiveness of short educational videos on social media in improving students' knowledge about academic stress. A descriptive quantitative approach was used, with a sample of 35 Nursing students from the 2024 cohort at Malahayati University. The data was collected through questionnaires administered before and after students were exposed to 1-3 minute educational videos. The results showed a notable increase in the average knowledge score, from 82.71 to 85. The findings suggest that short videos, which are visually engaging and easy to access, are highly effective for Generation Z learners. Social media platforms, particularly TikTok and Instagram, can be valuable tools for early psychological intervention, providing students with accessible resources to manage academic stress on their own. This study highlights the potential of leveraging digital platforms to support student well-being and offers insights into innovative approaches for addressing mental health challenges in educational settings.

The dynamics of the development of Madrasah Tsanawiyah (MTs) Al Hikmah cannot be separated from the role of the principal’s communication. Analogous to the human body, communication functions as blood that must flow to all parts. This constitutes one of the foundations for quality development. The communication strategy of the principal of MTs Al Hikmah in quality development exhibits distinctive characteristics. The principal is able to establish highly effective communication despite not having an educational background in communication studies. The principal employs prophetic-based communication strategy to enhance institutional quality. This study is qualitative research employing a phenomenological approach. Data were collected through interviews with the principal, foundation caretakers or administrators, teachers, parents or students, and stakeholders. In addition, interview data were systematically dialogued with documents and observations. After data collection, the data were analyzed using prophetic and quality-based approaches. The analytical process involved data condensation and triangulation to ensure the scientific accountability of the findings. The communication implemented operates effectively according to its roles as persuasive, informative, collective-regulative, and integrative, with a linear pattern through channels of direction, instruction, and task assignment aligned with institutional objectives. (b) The direction of the communication strategy is predominantly top-down rather than bottom-up within formal school contexts, guided by ethics of liberation, humanization, and decentralization. Diagonal communication is conducted with several informants, such as vice principals for curriculum, student affairs, and facilities and infrastructure, through various communication platforms. Interpersonal communication is also well established, with a strong emphasis on motivating subordinates from multiple perspectives.

Customer churn is a strategic challenge for digital streaming platforms because it directly Impacts revenue and business sustainability. This study aims to analyze the factors influencing customer Churn and develop a churn prediction model using the Random Forest algorithm. The study uses a Quantitative approach with an explanatory design and utilizes secondary data from the Netflix Customer Churn and Engagement Dataset available on Kaggle. The dataset consists of 1,000 customer data with 16 Variables covering demographic characteristics, service usage behavior, financial condition, and customer Satisfaction level. The data was processed through preprocessing, one-hot encoding, and a 70:30 split Between training and test data. Model performance was evaluated using accuracy, precision, recall, F1 Score, and ROC-AUC metrics. The results show that the Random Forest model produces an accuracy of 53.7%, precision of 56.3%, recall of 63.6%, F1-score of 59.7%, and ROC-AUC of 0.534, indicating Moderate predictive ability and only slightly better than random classification. Feature importanceAn.evealed that user engagement levels, such as viewing duration and frequency of interactions, Were the most dominant factors influencing churn, followed by economic factors and customer satisfaction. The results of this study are expected to provide a basis for streaming platforms to design more effective Customer retention strategies.

The rapid growth of e-commerce has intensified competition among digital businesses, making pricing and discount strategies critical in influencing consumer purchase decisions. This study aims to examine the effect of original product price and price after discount on consumer purchase decisions on e-commerce platforms. A quantitative causal research design was employed using secondary data derived from publicly available e-commerce transaction records. Data analysis was conducted through descriptive statistics, correlation analysis, and multiple linear regression to assess the partial and simultaneous effects of pricing variables on purchase decisions, which were measured using a price-based purchase decision index. The findings indicate that both original price and discounted price have a significant negative effect on consumer purchase decisions. This suggests that lower displayed and final prices increase consumers’ likelihood of making a purchase. Furthermore, the discounted price was found to exert a more dominant influence than the original price, highlighting the importance of perceived value in online purchasing behavior. This study contributes to the digital marketing literature by providing empirical evidence on pricing effects in e-commerce and offers practical insights for e-commerce platforms in designing effective and data-driven pricing and discount strategies.

This study aims to compare the performance of Multiple Linear Regression (MLR) and Random Forest Regression (RFR) in predicting student performance based on academic scores. Student performance is defined as the average of math scores, Reading Scores, and writing scores. This study uses a quantitative approach with a comparative design based on predictive modeling. The data used is secondary data from the Student Prediction dataset obtained through the Kaggle platform, which was processed using the Python programming language through the Google Colab platform. The analysis stages included the formation of performance variables, the separation of training and test data with a ratio of 80:20, model training, and evaluation using the Mean Squared Error (MSE), Mean Absolute Error (MAE), and coefficient of determination (R²) metrics. The results show that the Multiple Linear Regression model produced an MSE value of 2.74 × 10⁻²⁸, an MAE of 1.51 × 10⁻¹⁴, and an R² of 1.000. Meanwhile, Random Forest Regression produced an MSE of 0.296, an MAE of 0.375, and an R² of 0.998. These findings indicate that both models have a very high level of accuracy, but Multiple Linear Regression provides the best performance. This is due to the strong linear relationship between the input variables and the target variables formed directly from the combination of academic values. Thus, the linear regression model is proven to be more suitable for use in data structures that have simple linear relationships compared to ensemble-based models.

In today's digital era, social media has become an integral part of everyday life, especially for younger generations such as students. Platforms like Instagram, TikTok, Twitter, and Facebook facilitate fast and interactive communication, but often encourage the use of informal language such as abbreviations or emojis. This contrasts with the demands of the academic world. This study aims to analyze the influence of social media use on students' language styles in the academic world. The research method used was quantitative, namely observation. Observations were conducted to determine students' communication patterns on digital platforms (such as class WhatsApp group chats and comments on social media). The results showed a strong tendency to use slang, non-standard abbreviations, and code-mixing, carried over from social media habits into formal academic contexts. This phenomenon has contributed to the erosion of the boundaries between informal and formal language styles among students. This study concludes the need to strengthen formal language literacy to maintain professional communication in the academic world.

The rapid development of digital technology has led to an increased adoption of digital payment methods in online transaction-based businesses. However, in practice, failures and limitations in the implementation of digital payment systems still occur, potentially disrupting transaction processes and reducing customer convenience. Payment related obstacles may result in transaction cancellations and increase the risk of customer churn. This study aims to analyze the impact of failures and limitations in digital payment methods on customer churn using a classification-based approach. The data used in this research are secondary e-commerce customer data obtained from the Kaggle platform, including transaction information, payment methods, customer behavior, and historical transaction records. The research methodology consists of data preprocessing, time-based feature engineering, and classification modeling using logistic regression, decision tree, and random forest algorithms. Model performance is evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results indicate that the decision tree model demonstrates superior capability in identifying churn customers compared to the other models, although it does not always achieve the highest accuracy. In addition to digital payment methods, other factors such as purchase value, transaction frequency, purchase timing patterns, and product return rates also influence customer churn. The findings highlight the importance of optimizing digital payment systems as part of customer experience enhancement strategies and customer retention efforts in online transaction–based businesses.

Culinary MSMEs serve as a vital economic pillar; however, they often encounter significant internal management obstacles and low digital competitiveness. Sabila Snack & Bakery faces complex challenges, including unstructured production schedules, limited digital marketing literacy, inconsistent visual branding, and financial record-keeping that remains intertwined with personal funds. This community service initiative aims to provide applicable solutions by strengthening internal management and digital marketing strategies to enhance operational efficiency and business competitiveness. The methodology employed is Participatory Action Research (PAR), encompassing stages of observation, interviews, technical assistance, and evaluation. The results indicate a significant transformation in business governance. The implementation of daily production schedules has successfully improved workflow regularity and operational efficiency. Furthermore, branding reinforcement through the establishment of a permanent logo, the creation of systematic product catalogs, and the optimization of social media platforms such as WhatsApp Business, Instagram, and TikTok has effectively increased business visibility and professionalism in the digital sphere. Additionally, the application of a simple bookkeeping system has fostered administrative discipline and a clear separation between personal finances and business capital. Overall, this intervention has successfully transitioned the business from traditional management patterns toward a more structured, professional, and sustainable management model ready to compete in a broader market.

This study aims to examine the impact of anime and manga on increasing the learning motivation of students in the Japanese Literature Study Program at Universitas Nasional PASIM. As elements of modern Japanese popular culture, anime and manga function not only as a form of entertainment media but also as sources that can foster students’ interest in the Japanese language and culture. The rapid advancement of technology and the increasing ease of access to anime and manga through various digital platforms have making them an integral part of students’ daily lives, making their impact on education an important topic of study. This study employed a quantitative research method using a survey approach. This study gathered data through questionnaires completed by 33 students enrolled in the Japanese Literature program. Due to the relatively small population size, a total sampling technique was applied, involving all members of the population in the study. The data obtained were analyzed through validity, reliability, and normality tests, as well as the coefficient of determination, to assess the appropriateness of the research instruments and to examine the influence of anime and manga on students’ learning motivation. The analysis demonstrates that the indicators for anime and manga as well as learning motivation have fulfilled validity and reliability requirements, suggesting that the instruments are appropriate for application. A coefficient of determination of 55.1% indicates that anime and manga have a substantial contribution to students’ learning motivation, while the remaining proportion is affected by other variables not addressed in this research. These results suggest that anime and manga function not only as forms of entertainment but also as supportive learning media capable of enhancing the learning motivation of Japanese Literature students.

This study examines the paradoxical phenomenon among adolescents who actively consume mental health content on digital platforms such as Instagram and TikTok but are reluctant to utilize freely available school counseling services. The research aims to identify specific forms of stigma that hinder adolescents from utilizing school counseling services and analyze them using Erving Goffman's stigma theory. The research method employs a qualitative approach with a library research design, analyzing various scientific literature published from 2013-2025 through content analysis techniques. The research findings reveal six main forms of stigma: perception of school counselors as school police, labeling as troubled students, sign of personal weakness, doubts about confidentiality, distrust in counselor competence, and traumatic experiences. The paradox occurs because digital platforms provide anonymity that protects adolescents' virtual social identity, while face-to-face counseling services are perceived as threatening their social identity. Research implications indicate the need for transformation of school counseling services that integrate digital strategies, ongoing campaigns to change negative perceptions, and enhancement of counselor competence in understanding adolescent digital culture to reduce stigma and improve adolescent access to professional mental health services.

The interactive learning video innovation "Human Blood Circulation" through Edpuzzle, with embedded questions, is designed to address the difficulties faced by fifth-grade elementary school students in understanding abstract biological concepts. Science education in elementary schools often encounters challenges in explaining invisible processes, such as the heart's working mechanism and blood circulation, leading students to struggle with comprehension or merely memorize the material. Conventional learning videos tend to make students passive, necessitating media that can transform the learning process into an active one. Edpuzzle, as an educational platform, allows teachers to insert questions at critical points in the video, requiring students to answer before continuing to watch. This innovation aligns with the cognitive development stage of fifth-grade students, who are in the concrete operational stage.The research objectives include product development, validity and feasibility testing, analysis of conceptual understanding improvement, influence on focus and learning independence, and student responses. Media development refers to Mayer's cognitive theory of multimedia and the characteristics of interactive videos according to Heinich et al. Additionally, media development models such as ADDIE and Dick and Carey are discussed. The main benefits of using Edpuzzle include increasing engagement, facilitating real-time formative assessment, and enhancing learning motivation. However, challenges exist such as technology access, teacher readiness, the risk of technology dependency, and long-term evaluation. The practical implications can support digital learning and the transformation of elementary science education.

This study aims to analyze the implementation of digitalization in the operational management of Batik TIN MSMEs as a strategy to enhance business competitiveness. Digitalization is considered an important step for MSMEs in facing increasingly competitive market conditions in the digital economy era. The research method employed is qualitative with a case study approach. Data were collected through in-depth interviews with the owner and employees of Batik TIN MSMEs, direct observation of operational processes, and documentation related to production, marketing, and financial management activities. The results show that the implementation of digitalization in the production aspect helps improve work efficiency and product quality control. In the marketing aspect, the utilization of social media and digital platforms is able to expand market reach and enhance interaction with consumers. Meanwhile, digitalization in financial management facilitates transaction recording, improves the accuracy of financial reports, and supports more accurate decision-making. Overall, the implementation of digitalization has proven to make a positive contribution to improving operational efficiency and strengthening the competitiveness of Batik TIN MSMEs. Therefore, digitalization can be an effective and sustainable strategy for MSMEs to survive and grow amid dynamic industrial competition.

Community service activities in Kalirahayu 1 Village aim to improve the utilization of social media as a marketing tool for Micro, Small, and Medium Enterprises (MSMEs). This initiative is important because many MSME actors in the village have not maximized social media usage, which limits their opportunities to increase product sales and market reach. The program was implemented through consultations, practical training, and continuous mentoring involving 10 MSME actors in Kalirahayu Village. Through this activity, participants were introduced to digital marketing strategies, including content creation, product promotion, and customer interaction through social media platforms. The results showed that MSME actors gained new knowledge and skills in using social media effectively, while students involved in the program also developed practical experience in digital marketing. Although several challenges were encountered, such as limited technological facilities and differences in participants’ initial knowledge levels, the program successfully increased awareness of the importance of digital marketing. This activity demonstrates strong potential for sustainable development and is expected to support the growth and competitiveness of MSMEs in rural areas.

Online gambling has emerged as a growing public health and social concern, particularly in developing countries with rapid digitalization such as Indonesia. Increased internet accessibility, mobile device usage, and financial technology services have facilitated the widespread adoption of online gambling across diverse age groups, including adolescents. This study aims to investigate the phenomenon of online gambling and identify key determinants contributing to addictive gambling behavior. The method used is a narrative literature review, synthesizing findings from national and international studies related to online gambling, behavioral addiction, psychological mechanisms, and socio-environmental factors. The findings indicate that online gambling addiction is influenced by multiple interrelated determinants, including economic pressure, cognitive distortions such as illusion of control, low legal awareness, environmental exposure, and technological features embedded in gambling platforms. Neurobiologically, repetitive gambling behavior is reinforced by dysregulation of the brain’s reward system, particularly dopamine pathways, which strengthens compulsive engagement despite adverse consequences. Psychosocial impacts include increased risk of anxiety, depression, financial instability, social isolation, and criminal behavior. The study also highlights that adolescents are particularly vulnerable due to developmental factors and peer influence. The implications of these findings emphasize the need for comprehensive prevention strategies involving stricter legal enforcement, public education, mental health interventions, family support, and technological regulation. A multidisciplinary and public health–oriented approach is essential to reduce the prevalence of online gambling addiction and mitigate its long-term psychological, social, and economic consequences.

Globalization has brought significant impacts across various sectors of life, including language and literature. Rapid flows of information, intercultural interactions, and the dominance of international languages such as English have triggered changes, adaptations, and even identity confusion in the use of local languages and the development of literary works. This paper explores the influence of globalization on the evolution of language and literature, both in the context of preservation and creativity. Language undergoes modifications in structure and vocabulary as a result of cultural interaction and technological advancement, while literature evolves in terms of genres and media, as reflected in the emergence of digital literature and literacy phenomena on social media platforms. On the other hand, globalization also provides opportunities for local literary works to reach international audiences through translation and digital media. Using a descriptive and analytical approach, this paper highlights the challenges and opportunities arising from the intersection of globalization, language, and literature, as well as their significance in formulating strategies to maintain cultural identity through language and literary expression.

Globalization has brought significant impacts across various sectors of life, including language and literature. Rapid flows of information, intercultural interactions, and the dominance of international languages such as English have triggered changes, adaptations, and even identity confusion in the use of local languages and the development of literary works. This paper explores the influence of globalization on the evolution of language and literature, both in the context of preservation and creativity. Language undergoes modifications in structure and vocabulary as a result of cultural interaction and technological advancement, while literature evolves in terms of genres and media, as reflected in the emergence of digital literature and literacy phenomena on social media platforms. On the other hand, globalization also provides opportunities for local literary works to reach international audiences through translation and digital media. Using a descriptive and analytical approach, this paper highlights the challenges and opportunities arising from the intersection of globalization, language, and literature, as well as their significance in formulating strategies to maintain cultural identity through language and literary expression.

The Community Service Program (KKN) is a platform for student dedication to the community that not only focuses on health aspects but also on strengthening cultural values and character education. The KKN activities of Abdurrab University in Salo Timur Village, Salo District, Kampar Regency were carried out by integrating health socialization and the preservation of local culture. The main programs include socialization on bullying at UPT SD Negeri 001 Salo, Clean and Healthy Living Behavior (PHBS), and the utilization of Family Medicinal Plants (TOGA) at MTS Darul Falah Salo, as well as reproductive health socialization and higher education information at SMA Negeri 1 Salo. This program is enhanced with maghrib recitation activities and Malay cultural training (kompang and rebana) aimed at instilling religious values while preserving cultural heritage. The results of the activities show an increased understanding among students and the community regarding health issues, as well as a high enthusiasm for activities that combine education, religiosity, and culture. This integration proves that community service (KKN) not only plays a role in the transfer of knowledge but also in building collective awareness, strengthening character, and preserving local identity.transfer of knowledge but also in building collective awareness, strengthening character, and preserving local identity.

The Integration of technology in the education sector is a crucial strategy for addressing the challenges of the Industrial Revolution 4.0. This study aims to develop and examine the effectiveness of "Physical Changes of the Earth’s Environment" learning media by utilizing the interactive features of the ClassPoint platform and Edpuzzle videos in 5th-grade elementary school. The method employed is library research with a qualitative-descriptive approach, conducted through content analysis of various relevant scientific literatures from the last five years. The research findings indicate that the synergy between ClassPoint and Edpuzzle is capable of transforming abstract science materials into more concrete and engaging content for students. ClassPoint plays a role in creating a participatory digital classroom through various real-time interaction formats, while Edpuzzle reorients video-viewing activities into an active learning process through embedded question features that stimulate critical thinking. Overall, the use of these interactive media has positive implications for the escalation of active participation, concentration, and the depth of students' conceptual understanding. This study concludes that the development of ClassPoint and Edpuzzle-based learning innovations is an effective and relevant strategic step in improving the quality standards of science education in elementary schools.