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This study aims to analyze student time management and its relationship to academic productivity among students in the Economics Education Study Program, Jambi University, class of 2023. This study used a qualitative approach with data collection techniques through in-depth interviews with a number of students selected purposively. The results showed that most students were unable to manage their time optimally, as reflected in the habit of procrastinating on assignments, a lack of structured planning, and an imbalance between academic and non-academic activities. Many students tended to work on assignments only close to the deadline and found it difficult to maintain a consistent schedule. Conversely, students who had a more structured time plan, such as compiling daily to-do lists and setting priorities, demonstrated better academic productivity. They were able to complete assignments on time, produce better quality work, and were more active in the learning process and class discussions. This study confirms that effective time management plays a crucial role in improving student academic productivity, both in terms of the quality of work results and the timeliness of assignment completion. Therefore, more intensive efforts are needed to increase students' awareness and skills in time management, so they can achieve optimal learning outcomes, reduce stress levels, and face academic demands more efficiently. In this context, developing good time management strategies is essential to help students maximize their academic potential.

The development of digital technology in the Society 5.0 era presents both challenges and opportunities in history teaching, particularly regarding teachers’ ability to integrate technology and adapt to changes in students’ learning styles. This study aims to analyse the challenges faced by teachers and the strategies employed in digital-based history teaching. The method used is a Systematic Literature Review (SLR) employing the PRISMA approach, involving the stages of identification, screening, eligibility assessment, and inclusion of scientific articles published between 2020 and 2025. From the selection process, 25 relevant articles were identified for qualitative descriptive analysis. The findings indicate that teachers’ digital literacy levels remain at a moderate level and are unevenly distributed, thereby affecting the sub-optimal integration of technology into teaching. Furthermore, changes in students’ learning styles which are increasingly technology-oriented require more interactive and contextual pedagogical innovations. On the other hand, the use of digital media has proven capable of enhancing student motivation and learning outcomes, although this is still hindered by limitations in infrastructure and teachers’ technical competencies. The abundance of historical information on the internet also poses challenges regarding the validity of sources, thus necessitating the strengthening of digital literacy and critical thinking. The implications of this research underscore the importance of the ongoing development of teachers’ digital skills, the improvement of educational facilities, and the implementation of innovative teaching models to ensure that history teaching becomes more relevant and effective, and is capable of fostering critical thinking skills in pupils in the digital age.

Algorithmic technologies are widely used in contemporary marketing strategies due to the growth of the digital economy. Digital companies can evaluate consumer activity data in real time and provide highly personalized digital experiences thanks to artificial intelligence-based solutions, especially machine learning. In addition to examining how algorithmic governance and surveillance capitalism affect algorithmic personalization, this study looks into how these mechanisms affect consumer engagement, purchase intention, and perceptions of hyperreality within the digital market ecosystem. 356 active users of digital platforms, such as social media and e-commerce, were surveyed as part of this study's quantitative methodology. The links between the constructs in the suggested conceptual model were examined through data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the development of algorithmic personalization systems is strongly influenced by data-driven capitalism practices and algorithmic governance. Additionally, it has been demonstrated that algorithmic personalization improves customers' sense of hyperreality and increases their interaction with digital platforms. Additionally, the study shows that the most powerful factor influencing purchase intention is consumer interaction. By combining viewpoints from technology, the political economics of data, and hyperreality theory into a thorough empirical framework, these findings add to the body of knowledge on digital marketing.

The objective of this study is to develop a theoretical framework that can be used to identify the key resources and capabilities involved in the globalization process. This case study aims to examine how export-oriented small businesses in Indonesia achieve success at the international level. To obtain qualitative data, in-depth interviews were conducted with the Makmur Susanti Group, an MSME in Tulungagung, East Java. This study, based on the Resource-Based View (RBV), demonstrates how dynamic capabilities in production, networking, marketing, learning, legal, and synergistic areas contribute to the formation of competitive advantages that support business sustainability and continuity. The study indicates that success in internationalization requires a combination of capabilities that can meet market needs, rather than a single capability. This study contributes to the literature by offering a comprehensive framework of the internationalization process and providing practical insights for policymakers and practitioners aiming to enhance the competitiveness of SMEs. The research findings underscore the importance of capability development and government support in facilitating the global expansion of SMEs. Ultimately, this study provides a foundation for further investigation into the dynamic capabilities required for SMEs to thrive in international markets.

The premium healthcare industry in urban areas is experiencing increasing competition along with the increase in healthcare facilities and the increasing public demand for fast, comfortable, and quality medical services. In this context, Columbia Asia Pulomas Hospital is implementing an expansion strategy by increasing facility capacity, modernizing services, and adding a Center of Excellence (COE) as a service differentiation. This study aims to analyze customer retention strategies within the Balanced Scorecard (BSC) framework, focusing on the relationship between customer perspectives, internal processes, learning and growth, and their application to the financial perspective. The research method uses a document-based policy and strategy analysis approach, field findings, and a synthesis of Balanced Scorecard theory and patient experience.The analysis shows that customer retention during the expansion phase is influenced not only by clinical quality, but also by the assurance of doctor time in practice, speed of service, physical comfort, and digitization of queues and administration. The addition of a COE has been shown to increase the perception of service value and expand market share through service specialist differentiation. Within the BSC framework, the customer perspective serves as a leading indicator for achieving the financial perspective, where increased patient retention contributes to increased revenue, ROI growth, and long-term financial expectations. The research implications emphasize that strategies for strengthening human resources, modernizing internal processes, and service innovation are important foundations in ensuring successful hospital expansion and enhancing competitive advantage.

A mid the growing complexity of contemporary education, the challenge of integrating intellectual achievement with moral and spiritual development has become increasingly urgent. This study examines educational strategies in the Qur’an through the perspective of tafsir tarbawi, focusing on four core approaches: exemplary conduct, advice, dialogue, and storytelling. The research aims to explore how the Qur’an presents pedagogical methods that not only convey knowledge but also shape character and internalize values in learners. Employing a qualitative library research design with thematic and tafsir tarbawi approaches, this study analyzes relevant Qur’anic verses and supporting scholarly literature. The findings reveal that the Qur’an offers a holistic and dynamic model of education in which exemplary conduct functions as a behavioral model, advice serves as a means of value internalization, dialogue promotes reflective and critical thinking, and storytelling strengthens moral awareness through narrative experience. These strategies are interconnected and operate across cognitive, affective, and behavioral domains. The study concludes that Qur’anic educational strategies remain highly relevant for contemporary Islamic education, particularly in strengthening character formation, reflective learning, and the integration of values in educational practice.

Education is a fundamental element in an individual's life that aims to optimize human potential across cognitive, affective, and psychomotor domains. This research is motivated by the importance of students' ability to manage their study time effectively to support optimal learning outcomes. The purpose of this study is to describe and compare students' study time management based on gender. This study used a descriptive comparative method, with a sample of several eighth-grade students at Islamic Boarding School X. Data were collected using a Likert scale instrument, then analyzed using descriptive techniques and an independent-samples t-test using the (Jeffreys’s Amazing Statistics Program) JASP application. The results indicate that several students are able to manage their study time well. Furthermore, no significant differences were found between male and female students in managing their study time. These findings indicate that the ability to manage study time is relatively even and is not influenced by gender.

This study aims to analyze the influence of entrepreneurship education and motivation on students' entrepreneurial interest. The background of this study is based on the low interest of students in entrepreneurship despite having received entrepreneurship education at university. This study uses a quantitative approach with an associative method. The study population was students of the Management Study Program, Class of 2022, STIE Bina Karya Tebing Tinggi, with a purposive sampling technique in accordance with certain criteria determined by the researcher. Data were collected through questionnaires and analyzed using multiple linear regression. The results show that motivation has a positive and significant effect on entrepreneurial interest, while entrepreneurship education has no significant effect partially. However, simultaneously, both variables have a significant effect on entrepreneurial interest. The coefficient of determination shows that the variables of entrepreneurship education and motivation can explain 54.8% of entrepreneurial interest, while the remainder is influenced by other factors outside the study. The implications of this study emphasize the importance of increasing motivation and strengthening more practical entrepreneurship learning to be able to encourage student interest in entrepreneurship.

This study analyzes the urgency of synergy between the conceptual foundations of student management and strategic planning in the educational environment as an effort to optimize the potential of students. This research uses a descriptive qualitative approach through literature study, with secondary data obtained from journal articles, books, and related literature. This study reveals that the success of student management does not only depend on mastery of the theory of educational service principles, but is also largely determined by the accuracy of planning steps, including needs analysis, recruitment, orientation, and student distribution systems. The results of the study show that the alignment between philosophical foundations and systematic managerial procedures is a crucial factor in creating a positive learning ecosystem and supporting the effective achievement of national educational goals. Through this integration, the policies implemented by educational institutions will be more representative in ensuring the comprehensive development of students' interests and talents.

Group-based learning in the classroom plays a vital role in enhancing social interaction, individual responsibility, as well as students' critical thinking and collaborative skills. However, its implementation often faces challenges such as the dominance of certain members, social loafing, low participation, and interpersonal conflicts that hinder group effectiveness. This study aims to comprehensively examine the dynamics of learning groups by integrating four key aspects: the concept of group dynamics based on the Tuckman model, the characteristics of effective groups in cooperative learning, group formation techniques, and conflict management strategies. The research utilizes a qualitative approach with a literature study method, analyzing 25 sources including nationally accredited journals, academic books, and theses published between 2020 and 2024. Data analysis was conducted through reduction, thematic classification, content analysis, and conceptual synthesis. The results indicate that effective group dynamics can be achieved through the Tuckman stages, the application of the five elements of cooperative learning, the selection of appropriate group formation techniques with risk mitigation, and the implementation of the Thomas-Kilmann conflict management styles.The scientific contribution of this research is the development of an integrative model based on these four aspects, which serves as a conceptual framework to strengthen collaborative learning practices in the classroom. Practical implications include the formation of ideal groups consisting of 4–5 students, the establishment of initial group contracts, the use of dual assessment rubrics (individual and group), and peer evaluation mechanisms to enhance accountability and reflection.

This study aims to analyze the integration of policy, curriculum, and school culture in realizing an environmentally friendly school at SDN Tanggul Wetan 2. The study used a qualitative approach with a case study type. The research subjects included the principal, teachers, students, program coordinators, and parents. Data collection techniques were carried out through observation, in-depth interviews, and documentation. Data analysis used the Miles and Huberman model which includes data reduction, data presentation, and drawing conclusions. The results showed that the school policy has integrated environmental care values ​​through the Adiwiyata program supported by external partnerships and periodic evaluations. The curriculum implementation was carried out contextually by integrating environmental materials into various subjects and using project-based learning methods. School culture is realized through habituation of activities such as community service, waste sorting, and energy saving which have an impact on changes in student behavior. Supporting factors include the principal's leadership, teacher participation, parental support, and the school environment, while inhibiting factors include the lack of consistent student habits. Thus, the integration of policy, curriculum, and school culture has proven to be key in building a sustainable environmentally friendly character.

This study aims to examine and review the impact of language learning through text-based methods on the cognitive abilities of elementary school students. The research approach used is a qualitative study with the main instrument being the researcher, and supporting instruments including observation, interviews, and documentation of student learning outcomes at the elementary school level. Research data was obtained from various library sources, such as books, scientific articles, national and international journals, and other relevant scientific works related to text-based learning and student cognitive development. The results of the study indicate that the implementation of Indonesian language learning with text-based methods has a diverse impact on students. Differences in learning outcomes are not only influenced by the strategies and learning processes implemented by teachers, but are also closely related to students' cognitive abilities in understanding, interpreting, and processing information from Indonesian texts. Thus, text-based methods need to be adapted to the characteristics and levels of students' cognitive abilities so that learning objectives can be optimally achieved.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.

. Studies on the use of a digital storybook for teaching English to young learners have been abundant; however, the integration of independence values into the story for elementary school students in Indonesia has received limited attention. Independence is one of the characters that educate young learners to become responsible and self-reliant. This study aims to design a digital storybook that integrates independence value into English language learning materials for fifth-grade students. Using a qualitative Design-Based Research (DBR) approach, this study employed a design framework as the main research instrument, derived from character education theory, Teaching English to Young Learners (TEYL), and multimedia learning theory. Data were collected through the analyses of curriculum policies, English textbooks, children’s literature, character education, and multimedia learning. This study produced a digital storybook entitled Lisa Can Do It, which can be expected to become a medium to learn English and at the same time educate children about independence value. Findings indicate that character-based digital storybooks demonstrate the potential to integrate language learning with character education, providing a foundation for the design and implementation of digital learning materials integrated with character in English language education in elementary schools. Further research should focus on the implementation of the product to evaluate its impact on student learning outcomes.

This study aims to describe and examine effective strategies for memorizing the Quran among students at Pondok Pesantren Salafiyah Ula An-Nashar Batam. The background of this study is influenced by the variation in memorization results, which are related to the learning approaches implemented at the pesantren. Using a descriptive qualitative research design, data were collected through in-depth interviews, participatory observation, and documentation studies of both memorizing students and tahfiz instructors. The findings of the study revealed three basic methods used: (1) the Wahdah method as a cognitive foundation for memorization, (2) the Sima’i method to support the students’ auditory memory, and (3) individual guidance (talaqqi) to ensure the accuracy of Quranic recitation. The success of these memorization strategies is supported by the learning ecosystem, which includes spiritual motivation, a conducive pesantren environment, teacher competency, and family involvement in supporting the memorization process. The implications of this study provide practical insights for tahfiz program managers and enrich the knowledge of Quranic learning, especially at the foundational level, for the development of more effective methods in producing Quran memorizers.

This study aims to develop and implement an artificial intelligence-based reading learning application using Deep Learning technology to enhance the literacy skills of eighth-grade junior high school students. The research employed the Kemmis & McTaggart Classroom Action Research model combined with a mixed-methods approach. Data collection involved pretests and posttests, complemented by observations, interviews, and questionnaires. The findings revealed that the use of this application significantly improved students' reading comprehension, question-answering skills, and overall engagement in the learning process. Key features of the application, such as adaptive learning technology, allowed for real-time adjustments to the difficulty level of the material, which catered to each student’s individual learning pace. Additionally, the provision of instant feedback enhanced the learning experience by helping students understand their progress and areas for improvement. These results suggest that the application is an effective tool in fostering literacy development and aligns with the goals of the Independent Curriculum. Consequently, this Deep Learning-based application offers a promising innovation for improving student literacy skills in the digital age. 

The effectiveness of public sector organizations in delivering quality services and achieving their mandates depends critically on how they manage their human resources. This study examines the relationship between strategic human resource management (SHRM) practices and organizational performance in Indonesian public sector organizations. Employing a mixed-methods research design, data were collected from 312 public sector managers and HR professionals across 45 government agencies through surveys and 32 in-depth interviews. The research investigates five key SHRM dimensions: strategic recruitment and selection, performance management systems, employee development and training, compensation and rewards, and employee engagement. Findings reveal significant positive relationships between SHRM practices and multiple performance indicators including service quality, operational efficiency, employee productivity, and organizational innovation. Regression analysis demonstrates that SHRM practices collectively explain 47.3% of variance in organizational performance scores. Qualitative data illuminate implementation challenges including limited HR professional capacity, rigid civil service regulations, political interference, and resistance to performance-based management. The study identifies critical success factors such as top management commitment, alignment between HR strategy and organizational strategy, investment in HR analytics capabilities, and cultural transformation toward merit-based practices. Results indicate that high-performing public organizations distinguish themselves through systematic talent management, data-driven HR decision-making, continuous learning cultures, and stronger linkages between individual performance and organizational outcomes. This research contributes empirical evidence on SHRM effectiveness in public sector contexts and provides actionable recommendations for HR practitioners and policymakers seeking to leverage human capital for improved public service delivery.

The development of artificial intelligence (AI) has brought about significant changes in higher education, particularly in how students acquire, understand, and manage academic information. This study aims to deeply understand students' experiences using AI as a learning tool and explore how they interpret the technology's role in supporting academic activities. A qualitative phenomenological approach was used, with three informants selected purposively from various study programs actively using AI. Data were collected through semi-structured interviews, observation, and documentation, then analyzed using data reduction, data presentation, and conclusion drawing. The results show that students view AI as an effective tool for improving learning efficiency, deepening conceptual understanding, and motivating them to be more independent and creative. However, challenges were also identified, including dependence on technology, doubts about the accuracy of information, and concerns about academic ethics violations such as digital plagiarism. Student experiences also demonstrate that AI plays a dual role as both a learning tool and a cognitive partner in the modern learning process. Therefore, the use of AI needs to be directed wisely and accompanied by strong digital literacy to balance technological convenience and the development of critical thinking skills. These findings emphasize the importance of adaptive, humanistic, and ethical learning strategies in the era of digital higher education transformation.

This study aims to improve student learning outcomes in Natural and Social Sciences (IPAS), specifically on the topic of changes in the state of matter, by implementing the Project Based Learning (PjBL) model in Grade IV of SD GP Berea Tondano. The research followed a cyclical procedure consisting of planning, implementation, observation, and reflection. This study employed a classroom action research design and was conducted during the odd semester of the 2025/2026 academic year. Data were collected through observation, testing, and documentation techniques, with 15 fourth-grade students serving as the research subjects. The findings revealed significant improvements across teacher activity, student activity, and learning completeness. Teacher performance in managing instruction improved notably, with an average observation score of 73 (good) in Cycle I, rising to 93 (excellent) in Cycle II. Student engagement in the learning process likewise increased, from an average of 68.26 (good) in Cycle I to 86.53 (excellent) in Cycle II. Student learning completeness also showed marked progress, with the average score reaching 46.77 (satisfactory) in Cycle I and advancing to 100 (excellent) in Cycle II. These results demonstrate that the implementation of the Project Based Learning (PjBL) model is effective in enhancing both student creativity and learning outcomes on the topic of changes in the state of matter.

This study aims to develop flipbook-based multimedia instructional materials for the basic techniques of forehand and backhand volley in the Tennis Learning course. This research employed a Research and Development (R&D) approach using the ADDIE model, which consists of five stages: analysis, design, development, implementation, and evaluation. The validation subjects included a content expert, a learning media expert, an instructional design expert, and a field practitioner. Product trials were conducted with students of the Physical Education, Health, and Recreation Study Program, Faculty of Sports and Health, Universitas Pendidikan Ganesha, through individual trials involving three students, small-group trials involving seven students, and large-group trials involving twenty-one students. Data were collected using questionnaires with rating scales and were analyzed using descriptive qualitative and quantitative analysis in the form of percentages. The results indicated that the content expert validation achieved 98%, the media expert 93%, the instructional design expert 97%, and the field practitioner 98%, all categorized as very good. The individual trial obtained 97%, the small-group trial 98%, and the large-group trial 96%, all classified as very good. Therefore, the flipbook-based multimedia instructional materials on basic volley techniques are considered highly feasible for use as learning resources in tennis instruction.