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Adolescent mental health is an essential component of optimal growth and development, yet it often receives less attention compared to academic achievement. Adolescents are in a vulnerable developmental stage characterized by emotional changes, social pressure, and environmental demands, which increase the risk of mental health problems. This activity aimed to improve knowledge and promote positive attitudes among junior high school students regarding adolescent mental health, including its definition, signs and symptoms, risk factors, and prevention strategies. The method used was a health education intervention employing a pre-test and post-test design. The activity was conducted at Al Amanah Junior High School, South Tangerang City, involving 25 students. The evaluation instrument consisted of a 10-item multiple-choice questionnaire with a maximum score of 100. The results showed that the average pre-test score was 98.40%, while the post-test score increased to 99.60%, indicating a 1.20% improvement. Although the increase was relatively small due to the high baseline knowledge (ceiling effect), the findings demonstrate that the educational intervention effectively reinforced students’ understanding of adolescent mental health. In addition, interactive discussions during the session contributed to increased awareness and reduced stigma related to mental health issues. This mental health education program has the potential to support early prevention efforts and foster a more supportive school environment for adolescents’ psychological well-being.

Premarital sexual behavior in adolescents is a public health issue influenced by various individual, social, and environmental factors. Changes in social norms, technological advancements, and limited reproductive health knowledge make adolescents a group vulnerable to risky sexual behavior. This study aims to examine the factors influencing premarital sexual behavior among adolescents based on the Health Belief Model (HBM) approach. The method used is a Systematic Literature Review (SLR), review national and international scientific articles published between 2013 and 2025. Data sources were abtained from Google Scholar and ScienceDirect, with inclusion criteria including articles in Indonesia and English, open access, full text, and relevant to HBM components. The study result indicate that factors such as perceived barriers, self-efficacy, and the quality of information play an important role in shaping adolescent sexual behavior. Low knowledge and limited perception oh the negative impacts of premarital sex increase the risk of engaging in risky sexual behavior. In addition, health promotion interventions based on the Health Belief Model (HBM) have been proven effective in improving knowledge, attitudes, and preventive behaviors regarding premarital sex among adolescents. Therefore, the HBM approach is recommended as a basis for developing comprehensive and sustainable adolescent reproductive health education and promotion programs.

Learning is the process of children getting to know knowledge that aims to increase knowledge as a basis for forming behavior. The learning process is carried out so that children experience behavioral changes and gain an overall improvement in knowledge, skills, and attitudes. Learning is very closely related to daily life, therefore it is important for children to learn continuously, one of which is through learning mathematics. Mathematics learning has a very important role in the sustainability of children's education because mathematics is one of the fundamental non-physical tools in the world of education and daily life. Through mathematics learning, children are trained to think logically, systematically, critically, and creatively in solving various problems. In addition, mathematics helps children solve calculation problems that are often encountered in daily activities, such as counting money, measuring length, time, and distance, and interpreting simple data. Mathematics learning also plays a role in developing the ability to reason and make appropriate decisions. Therefore, mathematics learning is a subject that must be followed because it has a great influence on thinking skills, learning independence, and children's readiness to face life challenges and scientific development in the future.

Article 28H paragraph (1) of the 1945 Constitution of the Republic of Indonesia guarantees the right of every person to live in a good and healthy environment, while Article 33 paragraph (4) of the 1945 Constitution of the Republic of Indonesia affirms the principle of sustainable and environmentally friendly development as the basis for natural resource management. These constitutional norms are implemented through Law No. 32 of 2009 concerning Environmental Protection and Management, which requires every business activity to prevent any pollution and/or environmental damage. In addition, through Law Number 11 of 2020 concerning Job Creation as amended by Law Number 6 of 2023, there have been significant changes in the business licensing system and environmental protection instruments, including the integration of environmental approval into risk-based business licensing as regulated in Articles 22 and 23. In the context of oil palm plantations in Sumatra, these changes in norms have legal implications for the fulfillment of business actors' legal obligations in environmental protection and management. This study aims to analyze the impact of oil palm plantation exploitation in Sumatra from an environmental law perspective, particularly in relation to legal violations based on the normative framework of applicable laws and regulations after the enactment of the Job Creation Law.

Concept drift, the phenomenon where the statistical properties of data streams change over time, poses a significant challenge in machine learning, particularly for long term data streams. Traditional machine learning models, including batch learning and non-adaptive approaches, struggle to detect and adapt to these changes, leading to degraded performance and inaccurate predictions. This study proposes an adaptive computational model designed to detect and respond to concept drift using incremental learning techniques and statistical drift detection mechanisms. The model integrates an Adaptive Drift Detector (ADD) and Incremental Learning System, enabling real-time adjustments to data distribution changes. The model is evaluated across synthetic and real-world datasets, demonstrating its superior ability to detect abrupt, gradual, and recurring drifts compared to traditional models. Experimental results indicate that the adaptive model maintains high prediction accuracy, minimizes false positive rates, and reduces detection delays. Furthermore, the model performs well in resource-constrained environments, making it suitable for real-time applications such as healthcare prediction, fault detection, and IoT systems. Despite its promising performance, the study identifies challenges related to computational complexity and the model’s performance with imbalanced datasets and noisy data. Future research should focus on optimizing the model’s scalability, computational efficiency, and adaptability to more complex data types to ensure broader applicability in dynamic environments. This work contributes to advancing the detection and adaptation of concept drift, offering a robust solution for dynamic and evolving data streams.

The development of digital marketing has become a strategic factor in the growth of creative culinary businesses, particularly for micro, small, and medium enterprises facing increasing competition and changes in consumer behavior in the digital era. The use of digital platforms, such as social media and online marketplaces, enables business owners to expand market reach, enhance customer interaction, and optimize promotional strategies more efficiently. Nevertheless, various studies indicate that the implementation of digital marketing has not always produced optimal outcomes due to limitations in digital literacy, human resource capacity, and organizational adaptability. This study aims to systematically examine the role of digital marketing in the development of creative culinary businesses through a Systematic Literature Review approach. The review maps key concepts, research trends, and empirical findings related to digital marketing and organizational learning within the context of creative culinary enterprises. In addition, this study identifies existing research gaps and formulates recommendations for future research issues. The findings are expected to provide theoretical contributions in the form of comprehensive conceptual mapping as well as practical contributions for business practitioners, MSME facilitators, and policymakers in designing adaptive and sustainable digital marketing strategies.

 Autonomous robot navigation in dynamic and unstructured environments remains a critical challenge due to unpredictable obstacles, sensor uncertainty, and limited adaptability of traditional planning algorithms. Although conventional navigation methods such as graph-based, potential field–based, and sampling-based approaches have been widely adopted, their performance under real-time dynamic conditions is still constrained. This study aims to design and implement a comprehensive experimental framework to evaluate the effectiveness and limitations of conventional navigation algorithms for autonomous mobile robots operating in dynamic unstructured environments. The research adopts an experimental and comparative methodology by implementing A*, Dijkstra, Artificial Potential Field (APF), and Rapidly-Exploring Random Tree (RRT) algorithms in simulated static and dynamic scenarios. Performance is assessed using quantitative metrics including path length, computation time, success rate, collision rate, and path smoothness. The experimental results demonstrate that graph-based algorithms achieve high success rates and optimal path efficiency in static environments but exhibit limited adaptability to dynamic changes. APF offers fast computation but suffers from high collision rates due to local minima, while RRT shows better adaptability in dynamic environments at the cost of longer and less smooth paths. These findings confirm that conventional navigation methods are insufficient for robust autonomous navigation in highly dynamic and unstructured environments. The study highlights the necessity of adaptive and learning-based navigation frameworks, such as deep reinforcement learning, to enhance real-time decision-making, robustness, and autonomy in future robotic systems.

The elderly are highly susceptible to ascariasis infection because, in addition to the occurrence of immunosenescence, helminths possess the ability to evade host immune responses, making them difficult to eradicate. This community service activity aimed to improve health literacy and early detection of diseases among the elderly in Pejaten, South Jakarta, with a specific focus on Ascariasis. The program was successfully attended by approximately 70 residents, where a medical team from the Faculty of Medicine and Health conducted comprehensive health history assessments and free medical check-ups. This education proved vital as a catalyst for behavioral change, shifting the community's initial perception that worm infections only affect children to an understanding that adults and the elderly are also at high risk. Through health screenings, residents also gained critical insights into their physical condition, including blood pressure, heart, lung, digestive, and skin health, as well as identifying personal risk factors for Ascariasis.

This article aims to describe the teaching methods and practices of the Philosophy of Islamic Education course at STAI Darussalam. This research uses a qualitative descriptive approach with a field study method that focuses on the learning process, the competencies to be achieved, teaching methods, assignment formats, evaluation systems, and obstacles encountered during the course. Data were obtained through observation and information gathering related to the implementation of the Philosophy of Islamic Education course. The results show that the teaching of the Philosophy of Islamic Education at STAI Darussalam focuses on understanding the nature of Islamic education, developing students' critical thinking patterns, improving educational literacy, and linking philosophical studies to social and political realities. The lecture method remains the dominant method used by lecturers, with an emphasis on students' ability to define and explain basic philosophical concepts accurately as an indicator of understanding. Learning success is measured by changes in students' thinking, which becomes increasingly critical, reflective, and contextual in responding to educational issues and social justice issues.

The world of education must actively participate in preparing a creative, innovative, and competitive generation in response to advances in technology and science. Schools, as formal educational institutions, have a great responsibility to improve students' entrepreneurial skills by adding innovative product development theory to the learning process. Amidst increasingly fierce competition, product innovation is essential to create added value and maintain the sustainability of managed businesses. Entrepreneurship also plays an important role in driving social change and economic growth. Students are also encouraged to learn to be more creative, take initiative, and dare to take risks if they are given the facilities to develop their entrepreneurial spirit at school. Practical learning, training in innovative product creation, and business management simulations help students understand and apply entrepreneurial principles efficiently. Schools are expected to be a sustainable place for developing students' entrepreneurial character through targeted outreach and instruction. This method not only improves students' knowledge and skills, but also builds independence and innovation, which can help students prepare for the world of work, business, and industry. The goal is to foster an entrepreneurial culture focused on developing personal potential, thereby producing independent, adaptive, highly competitive graduates who are ready to face global challenges.

The increasing demand for real time parallel processing in cloud computing environments necessitates the development of more efficient and fault-tolerant scheduling algorithms. Traditional scheduling methods, such as static algorithms, often fall short when handling dynamic workloads and system failures, leading to increased task latency and reduced system performance. In contrast, adaptive scheduling algorithms dynamically adjust to changes in system conditions and workloads, ensuring timely task completion and optimized resource utilization. This study evaluates the performance of adaptive scheduling algorithms in real time cloud environments, focusing on key factors such as task latency, system resilience, and fault tolerance. Simulation experiments were conducted using cloud computing models that incorporate fault injection scenarios, including network failures and virtual machine crashes. The results show that adaptive algorithms significantly outperform traditional static schedulers in terms of task latency reduction and improved system resilience. These algorithms demonstrated better fault recovery times and ensured consistent real time performance, even under failure conditions. The findings highlight the advantages of adaptive scheduling in cloud environments, particularly for applications requiring rapid data processing and high system reliability. Despite the promising results, challenges remain regarding the scalability and complexity of these algorithms in large-scale cloud systems. Further research is needed to optimize adaptive scheduling algorithms for efficiency, scalability, and comprehensive performance evaluation, taking into account factors such as energy consumption, cost, and reliability. This research contributes to advancing cloud computing infrastructures that can dynamically handle real time tasks and maintain high performance under varying workloads and failures.

Beef demand in Indonesia continues to increase, particularly during religious holidays. Bali cattle, one of the main sources of beef, face a serious threat from Jembrana disease, a viral infection that compromises the immune system and causes significant economic losses. This study aimed to determine the correlation between spleen weight, body temperature, and cycle threshold (Ct) values in Bali cattle following Jembrana virus inoculation. A correlational method was applied to eight female Bali cattle injected with Jembrana virus inoculum. Physiological changes in body temperature were monitored, followed by necropsy to assess spleen weight. In addition, Real-Time Polymerase Chain Reaction (RT-PCR) was performed before and after inoculation to detect viral presence and determine Ct values. Data were analyzed using SPSS with Pearson correlation tests. The results revealed a very strong positive correlation between spleen weight and body temperature, while a very strong negative correlation was observed between spleen weight and Ct values. These findings indicate that Jembrana virus inoculation leads to increased body temperature and splenic enlargement in Bali cattle, accompanied by a decrease in Ct values, reflecting higher viral loads. Therefore, the administration of antipyretics, anti-inflammatory drugs, analgesics, vitamins, and antibiotics prior to vaccination is recommended to reduce the risk of hyperthermia, splenic swelling, decreased Ct values, and secondary infections.

Financial literacy is a crucial competency for today’s young generation, especially Gen Z, who are currently in the midst of the development of financial technology. However, the level of financial literacy among vocational and high school students is still relatively low, including students at SMK Negeri 1 Musuk. This community service activity, which includes outreach activities, aims to provide and improve students’ understanding and also change students’ attitudes towards financial literacy so they can manage their finances well, wisely, and responsibly. The method used in this outreach activity is a qualitative method with a type of outreach activity consisting of several stages or sessions: the first is the observation session, the second is the activity planning, and the third is the implementation of the outreach activity. This activity was carried out on December 5, 2025, with 30 participants from class XI AKL 1 participating in this activity. The material presented consisted of the definition of financial literacy, factors, impacts, financial management strategies, as well as case studies or real examples of financial literacy. The results of this activity indicate that there is an increase in students’ understanding in learning financial literacy material, marked by students’ enthusiasm to listen and focus on the material presented. Not to mention, there were quite positive results from this activity: the students became more active in learning, as evidenced by the way they answered the questions I posed. This activity had a very positive impact on the younger generation, fostering awareness of the importance of financial literacy for their future.

Socio-economic challenges faced by tuberculosis (TB) survivors in Indonesia remain substantial, particularly stigma that restricts employment opportunities and hinders social reintegration. This community service program aimed to strengthen the economic capacity of TB survivors through a community-based empowerment approach and health information dissemination via social media. The program involved a TB survivor community in the partner area of the Lampung Sehat Initiative. A participatory method was applied through entrepreneurship training, digital content production assistance, and the distribution of health education materials using Instagram, TikTok, and YouTube. The results indicate that social media was effective not only as a platform for health education but also as a promotional tool for participants’ micro-business products. In addition to improving public literacy regarding TB, social media contributed to stigma reduction by delivering positive narratives and reinforcing the collective identity of the survivor community. The program also encouraged behavioral change, supported the emergence of local leadership, and expanded participants’ social and economic networks. These findings suggest that integrating social media into community-based empowerment initiatives can serve as a social transformation strategy that enhances the sustainability of economic development and social support for TB survivors.

The rapid development of digital technology has brought significant changes to the business landscape, transforming how products are marketed, services are delivered, and business relationships are built. In this context, students, as future members of the workforce and potential entrepreneurs, are required to possess strong digital literacy skills in order to effectively face challenges and seize emerging business opportunities. This study aims to analyze the importance of digital literacy in supporting students’ readiness to respond to future business trends. The research employed a descriptive approach using a literature review and observations of the entrepreneurship learning process in vocational schools. The findings indicate that digital literacy plays a crucial role in enhancing students’ creativity, adaptability, and ability to utilize digital platforms for online marketing, branding, and business communication. Furthermore, digital literacy helps students understand market dynamics, analyze consumer behavior, and adopt innovative business models that align with technological developments. Students with adequate digital literacy are better prepared to face rapid changes in the business environment and demonstrate higher confidence in applying technology to entrepreneurial activities. In conclusion, the integration of digital literacy into entrepreneurship education is essential to produce competitive, innovative, and adaptable graduates who are capable of thriving in the digital era and contributing to sustainable economic development.

This community service programme was implemented in the coastal community of Padelegan Village, Pademawu Subdistrict, Pamekasan Regency, with a focus on strengthening health literacy and behaviour-based disease prevention at the household level. The background of the activity is based on the vulnerability of coastal communities to health problems related to hygiene, household drinking water management, and environmental cleanliness, as well as the need for an approach that not only increases knowledge but also encourages consistent preventive practices. The programme aims to improve residents' ability to understand and use health information in an applicable manner, while strengthening key disease prevention behaviours through education and mentoring. The activity will be carried out from February to April 2025 with a behaviour-based education design combined with practice demonstrations and community mentoring, involving 48 participants (40 residents/households and 8 posyandu/PKK cadres). The stages included initial assessment, development of KIE media (brief modules and leaflets/posters), two education-demonstration sessions, two home mentoring sessions, and final evaluation. The evaluation was conducted using pre-post knowledge, attitude, and practice (KAP) assessments and practice observation through a checklist. The results showed an increase in health literacy and improved consistency in preventive behaviour; knowledge increased from 5.4 to 7.8, and compliance with hand washing at critical times increased from 41.7% to 72.9%. Programme outputs included an information, education and communication (IEC) package, a household monitoring checklist, and capacity building for cadres as local facilitators. It was concluded that the integration of participatory education, practical demonstrations and cadre mentoring has the potential to be effective in encouraging preventive behavioural change in coastal communities, with recommendations for integrating monitoring into the routine agenda of integrated health service posts (posyandu) and community empowerment groups (PKK) and for follow-up monitoring for 3–6 months to maintain the sustainability of practices.

This study investigates the role of Enterprise Information Systems (EIS) in driving innovation within organizations. The research employs a mixed-method approach, combining survey-based structural analysis and in-depth organizational case studies to explore how different EIS capabilities influence organizational innovation. The study focuses on four key EIS capabilities: functional capabilities such as workforce management and customer value creation; technological capabilities including ERP systems and real-time analytics; dynamic capabilities, especially organizational learning; and collaborative innovation through external partnerships. The survey results reveal that EIS capabilities, particularly data analytics and integration, significantly enhance organizational agility, decision-making, and innovation outcomes. In-depth case studies provide detailed insights into how these capabilities are applied in real-world organizational settings, illustrating their impact on process and service innovation. The findings indicate that the effective integration of EIS across organizational functions, along with improved access to data, contributes to operational efficiency and innovation success. However, challenges such as integration issues, resistance to change, and lack of skilled personnel were also identified as barriers to successful EIS adoption. The study contributes to the literature by offering a comprehensive understanding of how EIS capabilities drive innovation and highlighting the importance of organizational culture and leadership in the adoption process. The research provides practical recommendations for organizations to leverage EIS for fostering innovation, such as focusing on EIS integration, overcoming organizational barriers, and ensuring leadership engagement. Finally, the study suggests future research directions, including the refinement of multi-method approaches and the need for longitudinal studies to better understand the long-term impact of EIS on innovation outcomes.

The integration of Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems has emerged as a critical strategy for modern digital enterprises aiming to enhance customer experience and operational efficiency. This study examines the impact of CRM-ERP integration on customer satisfaction, personalized service, and organizational responsiveness. By adopting a mixed-methods approach, this research combines quantitative customer data analysis and qualitative managerial interviews to assess the benefits and challenges of CRM-ERP integration. Key findings highlight significant improvements in customer experience, with increased satisfaction and personalized interactions facilitated by a unified view of customer data. Operational efficiencies were also realized through streamlined processes, better alignment of departments, and enhanced decision-making based on real-time, data-driven insights. Despite these positive outcomes, challenges such as system integration complexities, data fragmentation, and resistance to change were identified, which hindered the speed of integration and full utilization of the systems. This study demonstrates that CRM-ERP integration provides a competitive advantage by improving both customer service and business agility, particularly in industries undergoing digital transformation. For digital enterprises, integrating these systems is crucial for maintaining a seamless customer experience across various touchpoints and achieving greater operational effectiveness. The paper concludes by suggesting future research on the long-term impact of CRM-ERP integration on customer loyalty, business growth, and the potential role of emerging technologies like AI and blockchain in further enhancing these systems.

This study aims to analyze the influence of the @starbucksindonesia account's use of Instagram as a communication medium on brand image following the pro-Israel boycott. The boycott arose from Starbucks' alleged involvement in the Israeli-Palestinian conflict, which triggered a decline in its reputation and negative sentiment among Indonesians. In this situation, Instagram, as a visual-based social media platform, was utilized as a primary means of shaping public opinion and responding to the crisis. The study employed a quantitative approach using an online questionnaire survey. Respondents were 100 followers of the @starbucksindonesia Instagram account, aged 18–35, and former Starbucks customers. Data analysis was conducted using validity and reliability tests, simple linear regression, t-tests, and coefficients of determination using SPSS version 27. The results showed that all research instruments were valid and reliable. The main finding demonstrated that Instagram use had a statistically significant effect on Starbucks' brand image. The coefficient of determination value indicated a strong relationship, indicating that the majority of changes in respondents' perceptions were influenced by communication via Instagram. This research supports the Uses and Effects theory, which states that social media not only serves as an information provider but also has the ability to shape consumer perceptions and attitudes. Therefore, Instagram plays a strategic role in digital communications for crisis management and brand image restoration.

Digital transformation (DT) has become a critical component for organizations aiming to enhance their operational efficiency, innovation, and competitiveness. However, many organizations struggle to achieve successful digital transformation due to the misalignment between their Enterprise Information Systems (EIS) and organizational strategic goals. This research seeks to design and validate a model for aligning EIS with digital transformation strategies to improve organizational effectiveness. By adopting the Design Science Research (DSR) approach, this study develops a practical model that integrates strategic planning, process management methodologies, and emerging technologies to facilitate alignment between IT and business strategies. The research includes key steps such as requirement analysis, artifact design, expert validation, and case study evaluation to ensure the model's robustness and applicability across different organizational contexts. Findings indicate that the proposed model significantly improves strategic-system alignment, enhances decision-making consistency, and facilitates better integration between business and IT units. The model also addresses common challenges such as resistance to change, skill gaps, and misalignment, fostering a supportive culture for digital transformation. In comparison to existing descriptive frameworks, the proposed model is more structured, adaptable, and actionable, providing organizations with a clear framework to guide their digital transformation efforts. This research contributes to the growing body of knowledge on EIS alignment and offers practical insights for organizations seeking to achieve successful digital transformation. Future research could explore the model's application in various organizational settings and examine its impact on long-term organizational growth and innovation.