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The increasing number of Indonesian Migrant Workers (TKW) working abroad, particularly through programs organized by BP2MI, has become a significant concern in managing the labor export process. One of the challenges faced is the uncertainty of the number of TKW to be sent each year, which is influenced by various external and internal factors. Therefore, this study aims to apply artificial neural networks (ANN) with a backpropagation algorithm approach to predict the number of TKW that will be processed by BP2MI. This method was chosen due to its ability to recognize patterns and nonlinear relationships between variables that affect the decision-making process for TKW export. In this study, the data used includes factors such as the number of job seekers, government policies, and the condition of the international labor market. The artificial neural network with the backpropagation algorithm is used to train the model based on existing historical data, with the goal of generating accurate predictions regarding the number of TKW to be processed in the coming years. The results of the tests show that the developed model can provide fairly accurate predictions and can serve as a tool for BP2MI in planning and managing the export of TKW more effectively. With the application of this technology, it is expected that the decision-making process related to TKW export can become more efficient and well-predicted.

This study aims to determine the influence of work discipline (variable X1) and work culture (variable X2) on employee performance (variable Y). The research method used is a descriptive and verifiable method with a quantitative approach. Data collection techniques include observation, interviews, documentation, and literature studies to obtain comprehensive and relevant data for the purpose of the research. Data analysis techniques are carried out systematically, starting from the data compilation process, data tabulation, to the hypothesis testing stage. Data analysis uses multiple linear regression to determine the influence of each independent variable on the dependent variable. The results showed that the determination coefficient (R²) value was 69.8%, which means that work discipline and work culture simultaneously have a significant effect on employee performance. Meanwhile, 30.2% of employee performance was influenced by other factors outside of the study, such as motivation, work ability, leadership, personality, job satisfaction, work environment, and employee loyalty. Thus, it can be concluded that improving work discipline and a positive work culture plays an important role in improving.

English Correspondence is an important course for university students from non-English departments as it equips them with professional writing skills needed in the workplace, including job application letter writing. This study aims to describe students’ writing outcomes in writing job application letters after receiving instruction in an English Correspondence course. The study employed a descriptive qualitative research design. The participants consisted of 22 students from a non-English department enrolled in the English Correspondence course at Stekom university. The data were obtained from students’ final job application letters and analyzed using an analytic writing assessment rubric focusing on content relevance, completeness of letter structure, organization, and use of formal English. The findings reveal that students generally achieved good writing outcomes in writing job application letters. The strongest aspect was the completeness of letter structure, indicating that most students were able to apply the standard format and components of a job application letter appropriately. Students also demonstrated relatively good performance in content relevance and use of formal English. However, weaknesses were identified in organization and language accuracy, particularly in developing coherent ideas and using grammatically accurate formal expressions. The analysis of representative excerpts from students’ letters further illustrates variations in writing quality across aspects. Overall, the findings suggest that instruction in the English Correspondence course contributed positively to students’ ability to write job application letters. This study highlights the importance of examining students’ writing outcomes holistically to provide insights for improving instructional practices in teaching professional writing.

Hemangioma is the most common benign vascular tumor in infancy and is generally characterized by a proliferative phase followed by spontaneous involution. Although most cases resolve without intervention, treatment is required when hemangiomas cause functional impairment, ulceration, or life-threatening complications. Lingual hemangioma is a rare presentation and may result in significant feeding difficulties and airway compromise, requiring prompt and multidisciplinary management. This study aims to report the comprehensive management of a refractory lingual hemangioma in an infant, emphasizing diagnostic evaluation, therapeutic strategy, and nutritional support. A six-month-old female infant presented with a lingual hemangioma associated with progressive feeding difficulties. Prior to initiating therapy, a thorough diagnostic workup was performed, including echocardiography to assess cardiac function, magnetic resonance imaging (MRI) to evaluate lesion extent, and computed tomography angiography (CT-angiography) to delineate vascular anatomy. The patient initially received oral propranolol as first-line therapy; however, due to an inadequate response, combination chemotherapy with Bleomycin–Vincristine (BV) was initiated. To minimize the risk of toxicity, a 50% dose reduction was applied. Clinical evaluation demonstrated a favorable therapeutic response, with a reduction in lesion size and improvement in feeding ability after 10 weeks of treatment. No severe adverse effects were observed during the treatment period. To ensure adequate nutritional intake and support growth, enteral nutrition via a nasogastric tube (NGT) was provided throughout the course of therapy. This case highlights the importance of comprehensive diagnostic assessment, individualized treatment planning, and close monitoring in refractory hemangioma. In addition, optimal nutritional support plays a crucial role in overall patient outcomes. A multidisciplinary approach is essential for the successful management of complex infantile hemangiomas with functional complications.

The limited ability of teachers to write scientific papers remains one of the obstacles to professional development and career advancement. This activity aimed to improve teachers’ competencies through scientific writing training at SMAN 1 Kayu Agung, Ogan Komering Ilir Regency. The method employed was training and mentoring, which included the delivery of materials on basic concepts of scientific writing, the structure of scientific articles, citation and referencing techniques, and practical sessions on preparing scientific articles. The participants of this activity were teachers of SMAN 1 Kayu Agung. The results showed an improvement in teachers’ understanding and skills in writing scientific papers, as indicated by their ability to produce scientific articles in accordance with proper academic writing standards. In addition, teachers demonstrated positive attitudes and increased motivation to produce scientific works as part of continuous professional development. Therefore, scientific writing training is effective in enhancing teachers’ competencies and can serve as a strategy for teacher professional development in schools.

The success of a company is not only determined by the quality of the products and services offered, but also by the company's ability to manage employee relations, which is part of the internal public relations function. Without a targeted strategy, companies risk facing low motivation and declining performance. This study aims to understand the employee relations strategy of PT. Resultan Karya Indonesia (Rekanesia) in motivating employee work. The theory used refers to Albrecht (2020) which includes internal communication, rewards, career development programs, work flexibility, and conflict resolution mechanisms. The research method uses a descriptive qualitative approach with interview, observation, documentation, and source triangulation techniques. The results show that the employee relations strategy at Rekanesia is implemented through weekly communication forums, one-on-one meetings, providing material and non-material appreciation, flexible working hour policies, and informal activities such as team building. This strategy has been proven to increase employee motivation, satisfaction, and loyalty, thereby creating a productive and conducive work environment. Practically, this research can provide input for PT. Resultan Karya Indonesia to continue strengthening a more effective, participatory, and sustainable internal communication strategy, so that the company is able to face competitive challenges while maintaining its existence in the modern era.  

Science lessons in primary school significantly contribute to the early development of logical, scientific and systematic reasoning skills.   However, learning science can be challenging, especially when it comes to understanding abstract concepts and cause-and-effect interactions.   This is due to the fact that, as per Piaget's theory, primary school students are still in the concrete operational stage and have limited cognitive growth. Data regarding abstraction ability and causal reasoning in the context of science education were collected from various scientific sources using the literature review research methodology.  According to the research findings, STEAM integration, project-based learning strategies such as Project Based Learning (PBL), and the use of real and visual aids can help lower learning barriers. Successful learning is also influenced by the teacher's role as facilitator, which involves presenting the material in a relevant and contextualized way and fostering a positive learning environment. Real-world examples and exceptional examples, such as the use of worksheets based on cause-and-effect relationships and basic experiments, demonstrate how useful these strategies are for improving abstract thinking and understanding of cause-and-effect relationships. Developing innovative teaching methods based on practical, exploratory and integrative experiments is essential for maximizing the scientific understanding of primary school students.

This community service program is entitled Improving Microcontroller Competence of Students of SMK Negeri 3 Pematangsiantar through Arduino Training Based on Industrial Practice and is implemented as a follow-up to the school's official request to invite university practitioners as guest teachers in order to strengthen industry-based vocational learning. The activity was carried out on November 27, 2025 at the Computer Laboratory of SMK Negeri 3 Pematangsiantar involving 50 grade XI students, and guided by Andi Setiadi Manalu, S.Kom., M.Ti as the main instructor of Arduino material which focuses on the introduction of microcontrollers, basic programming, sensor integration, and simple automation project design. The purpose of this activity is to improve students' technical competence in the field of embedded systems while fostering work readiness through real-world practice-based learning experiences. The implementation method uses an experiential learning and project-based learning approach, which combines brief conceptual explanations with direct practice, technical discussions, and problem-based project assignment completion. The evaluation results show an increase in students' understanding of microcontroller functions, programming logic structures, and the ability to connect hardware and software in one work system. In addition, students demonstrated increased motivation, confidence, and interest in industrial technology, as reflected in their active participation during the practicum and their successful independent completion of functional prototypes. Overall, this activity proved effective in strengthening the technical competencies of vocational high school students and supporting the implementation of the link and match policy between vocational education and the needs of the industrial world, while also emphasizing the strategic role of higher education institutions in supporting the improvement of human resource quality at the vocational high school level.

The era of digitalization demands that the world of education adapt quickly to technological developments. One of the basic skills that elementary school students need to have is the ability to operate a computer, particularly in typing and using word processing applications. Community service research was conducted at the Kemala Bhayangkari Foundation 1 Medan with the aim of improving students' digital literacy thru typing training using Microsoft Word and the interactive media 10fastfingers.com. The training method is conducted using a workshop model, which consists of two main topics. The first material is a basic introduction to typing using the ASDF;LKJ pattern and the use of important keyboard keys. The second material is an introduction to basic Microsoft Word features, such as changing font type and size, using Bold, Italic, Underline, changing text color, and highlighting. Additionally, students are trained to use 10fastfingers.com to interactively improve their typing speed and accuracy. The research instruments are pretest-posttest, observation, and student response questionnaires. The research results show a significant improvement in typing skills. Average speed increased from 8–10 words per minute to 20–25 words per minute, with over 85% accuracy. Student responses were also very positive; they felt more confident, more motivated, and able to use Microsoft Word more effectively. This training program has proven effective in improving digital literacy among elementary school students while also fostering an interest in technology-based learning.

The utilization of digital technology in the Industry 4.0 era has become crucial for vocational high school (SMK) students to build economic independence. However, partners at SMKN 1 Selo still face obstacles in optimizing social media and digital platforms as effective promotional tools for student work and self-development. This community service activity aims to enhance students' understanding and skills in using social media (Instagram, TikTok) and other digital platforms as creative marketing instruments. The method employed is a descriptive qualitative approach through participatory training, which includes material presentation on digital branding strategies, visual content creation practices, and copywriting techniques. The results of the activity indicate a significant improvement in students' technical abilities, where they demonstrated the capacity to produce engaging promotional content and understand social media algorithms to reach a wider audience. This study aims to describe the process and impact of utilizing social media and digital platforms as promotional tools for SMKN 1 Selo students. The primary focus of this activity is to provide a deep understanding of personal branding strategies and creative product marketing in the digital age. Through this program, it is expected that SMKN 1 Selo students will possess higher digital competitiveness and the ability to leverage the digital ecosystem to support the promotion of vocational products and their professional profiles in the future.

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.

This study investigates the integration of high performance communication protocols with adaptive signal processing engines in multi-core systems, aiming to enhance scalability, throughput, and inter-core communication efficiency. The challenges inherent in traditional multi core architectures, such as communication overhead, latency, and scalability limitations, are addressed through the incorporation of Network-on-Chip (NoC) architectures and adaptive signal processing techniques. By using a multi-core digital signal processing (DSP) platform, the study evaluates the performance improvements achieved by this integration under varying workloads and core configurations. The experimental results show a 35% improvement in throughput and a 25% reduction in communication latency, highlighting the effectiveness of adaptive communication protocols in managing data traffic between cores and reducing bottlenecks. The integration of NoC architecture facilitates parallel data transfers, while adaptive signal processing engines ensure that data flows more efficiently across the cores, enhancing system responsiveness, especially under high data rate conditions. Furthermore, the study explores the scalability of the proposed system, demonstrating its ability to maintain high performance as core counts increase. The findings emphasize the potential of combining advanced communication protocols with adaptive signal processing for optimizing multi-core system performance. Practical implications of this research include the design of scalable, flexible, and efficient multi core architectures suitable for complex, data-intensive applications. Future research should focus on further refining communication protocols and exploring additional integration strategies to enhance the adaptability and scalability of multi-core systems in next-generation computing environments.

This community service activity was conducted at SMK Ganesha Tama Boyolali with the main objective of disseminating knowledge and practical tips on entrepreneurship and starting a business among vocational high school students. The activity aimed to provide students with an understanding of basic entrepreneurial concepts, initial steps in establishing a small business, and key factors that influence entrepreneurial success. This program was based on the importance of preparing vocational students not only to become skilled workers but also to develop the readiness to act as independent entrepreneurs. Several problems were identified prior to the activity, including students’ limited knowledge about how to start a business, fear of taking entrepreneurial risks, and low motivation to pursue entrepreneurship at an early stage. The method used in this program was mentoring through a socialization approach, supported by interactive discussions and question-and-answer sessions. The results showed a significant improvement in students’ understanding of entrepreneurship concepts and their ability to develop feasible business ideas. Most students successfully created simple business plans aligned with community needs, such as technical services, design and drawing services, planning consultancy, and mock-up services. In addition, the activity positively influenced students’ attitudes and mindset by increasing their self-confidence in presenting business ideas before their peers. Overall, this outreach program effectively fostered entrepreneurial spirit, motivation, and readiness among students at SMK Ganesha Tama Boyolali to pursue independent business opportunities after graduation.

Smart cities are increasingly leveraging advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data Analytics to optimize urban management and improve the quality of life for citizens. However, managing vast and diverse datasets from numerous sources in real-time presents several challenges. This research proposes a modular framework that integrates distributed data processing engines with container-based workflow orchestration to address scalability, latency, adaptability, and fault tolerance in smart city data analytics. The framework utilizes cloud native technologies, including Apache Spark and Kubernetes, to efficiently manage resources and ensure high availability. The experimental setup tested the framework’s ability to handle dynamic data loads, demonstrating scalability through real-time resource allocation and low-latency processing. The adaptability of the framework was evident in its seamless integration with various data sources, such as environmental sensors and traffic management systems, which require different processing methods. Additionally, the framework’s modularity provided fault tolerance, enabling continued operation even if individual components failed, a crucial feature for mission-critical applications in smart cities. Compared to traditional monolithic systems, the proposed framework outperformed in flexibility, scalability, and performance, offering significant improvements in handling real-time data streams. Despite these advantages, challenges remain, particularly in integrating heterogeneous data formats and optimizing real-time processing for high-priority applications. The research highlights the importance of scalable data analytics and efficient workflow orchestration for the future of smart city platforms, offering a foundation for the development of more resilient, adaptable, and efficient cloud native infrastructures.

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.

Nutritional status is a health condition that indicates whether or not nutrients are sufficient in the body. This is influenced by eating habits and the body's ability to absorb nutrients. Nutritional status assessment can be done by body measurements, diet analysis, or laboratory tests. This indicator shows the extent to which nutritional needs are met to support body function and growth. This study aims to determine the nutritional status of toddlers in Keude Nibong Village and the factors that influence it. The research design used a quantitative approach with a correlation method, involving 35 toddlers as samples. The results showed that most toddlers were male (52%) and most were aged 24-35 months and 48-59 months (23.7% each). A total of 29 toddlers (83%) had good nutritional status, while 6 toddlers (17%) were malnourished. The nutritional condition of toddlers was generally good, but regular monitoring by health workers and the village government through integrated health posts (posyandu) is needed. Further research is recommended to examine factors such as diet, economy, and parental education that influence children's nutritional status.

This study examines Fazlur Rahman’s double movement paradigm as a methodological framework for renewing contemporary Islamic thought. The background of this research lies in the ongoing crisis of Islamic epistemology, marked by the dominance of textual-literal interpretations that are detached from historical context, as well as modernist approaches that often lack strong Islamic methodological foundations. This condition has weakened the ability of Islamic thought to respond to modern social, ethical, and intellectual challenges. This research employs a qualitative approach using library research. The primary data consist of Fazlur Rahman’s major works, including Islam, Major Themes of the Qur’an, and Islam and Modernity, while secondary data are drawn from academic journals, books, theses, and previous studies discussing his thought. Data were analyzed through content analysis and interpretative analysis to identify key concepts, methodological patterns, and their implications for contemporary Islamic thought. The findings show that Fazlur Rahman conceptualizes the Qur’an as a source of universal moral values rather than a static legal code. His double movement method emphasizes understanding the Qur’anic text within its historical context and reapplying its moral principles to contemporary realities. This approach positions Rahman within the framework of Islamic neo-modernism, bridging classical Islamic tradition and modern intellectual demands. The study concludes that the double movement paradigm offers a relevant epistemological foundation for renewing Islamic thought, particularly in Qur’anic interpretation, Islamic law, and Islamic education, by promoting contextual, ethical, and critical reasoning.

Analyzing procedural texts is an essential competence in Indonesian language learning at the junior high school level, as it requires students to apply analytical thinking and understand textual structures systematically. However, in classroom practice, students often experience difficulties in identifying text structure, linguistic features, and communicative purposes of procedural texts. This study aims to describe the implementation of the Problem Based Learning model in teaching procedural text analysis to ninth-grade students at SMPN 2 Sukaluyu Cianjur and to examine its role in developing students’ analytical abilities. The research employed a qualitative descriptive approach involving students and an Indonesian language teacher as research subjects. Data were collected through classroom observation, analysis of students’ work, and documentation of learning activities. Data analysis was conducted through data reduction, data display, and conclusion drawing. The findings indicate that the implementation of Problem Based Learning increased students’ engagement in the learning process, encouraged active discussion and collaboration, and supported students in understanding and analyzing the structure and linguistic features of procedural texts more effectively. Students were not only able to comprehend procedural text concepts theoretically but also demonstrated the ability to apply analytical skills in evaluating and revising texts. The learning process became more meaningful as students actively constructed knowledge through problem-solving activities related to real-life contexts. The results of this study imply that Problem Based Learning can serve as an effective alternative instructional model for Indonesian language learning, particularly in fostering analytical skills, learner autonomy, and meaningful engagement in procedural text instruction at the junior high school level.

Health workers contribute up to 80% to the success of health development. For this reason, effective employee performance management is needed according to service performance for communicable and non-communicable diseases. The aim of this research is to analyze the factors that influence the performance of nurses in health services for non-communicable diseases and infectious diseases at the UPT Puskesmas Kuala, Kuala District, Langkat Regency.The research design used was an analytical survey with a cross sectional approach. The population of this study were all 31 nurses with a sample using a total sampling technique of 31 people. The data analysis used is the binary logistic regression test.The research results show that ability has a sig-p value of 0.025, attitude sig-p 0.014, learning sig-p 0.036, motivation sig-p 0.022, leadership sig-p 0.031 and work environment sig-p 0.048, which means it has an influence on nurse performance , while age sig-p 1.000 and perception sig-p 0.496 have no influence on nurse performance. Attitude is the dominant factor with an OR value of 28.446. In conclusion, ability, attitude, learning, motivation, leadership, and work environment influence nurse performance, while age and perception have no effect. Attitude is the most dominant factor influencing nurse performance.

In the learning process, educators often face challenges in helping students achieve optimal learning outcomes. One of the contributing factors is the dominance of teacher-centered learning models, which frequently leads to low student engagement and reduced motivation. This condition affects students’ curiosity, particularly in Science learning, which requires active participation and exploration. Therefore, innovative teaching materials are needed to encourage student involvement while simultaneously stimulating their curiosity. One alternative that can be utilized is the Student Worksheet (Lembar Kerja Peserta Didik/LKPD), which can be designed systematically and contextually to support active learning. This study aims to determine the effectiveness of using LKPD in enhancing students’ curiosity in Grade VII Science learning at SMPN 1 Sanrobone. The research employed a Classroom Action Research (CAR) approach carried out in two cycles, each consisting of planning, implementation, observation, and reflection stages. The findings indicate a significant increase in students’ curiosity after the implementation of LKPD, as shown by improvements in questioning behavior, interest in the material, and the ability to observe and explore scientific phenomena. Based on these results, it can be concluded that the use of LKPD is effective in fostering students’ curiosity and contributes to a more interactive and meaningful Science learning experience.