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The rapid development of Artificial Intelligence (AI) technology presents significant opportunities to improve the quality of learning; however, its utilization in school settings is still constrained by teachers’ limited competencies. This community service program aims to enhance teachers’ competencies in utilizing AI-based learning technologies in a pedagogical, ethical, and practical manner. The implementation method consisted of preparation, implementation, and evaluation stages. The activities were carried out through interactive workshops, demonstrations of AI-based educational tools, hands-on practice with mentoring, and evaluation using pre-tests and post-tests. The results indicate a significant improvement in teachers’ understanding and skills in using AI for lesson planning, instructional media development, and learning assessment. Teachers also demonstrated more positive attitudes and greater confidence in integrating AI into classroom practices. Nevertheless, challenges such as varying levels of digital literacy and limited technological infrastructure were still identified. Overall, this community service activity proved effective in improving teachers’ competencies and has the potential to support more innovative and adaptive learning transformation in the digital era.

Philosophy learning has a strategic role in shaping students' critical, reflective, and rational thinking skills. However, the main challenge faced in this learning process is to determine assessment and evaluation methods that are in accordance with the character of philosophy that are abstract and argumentative. This study aims to describe the method, assessment, and evaluation of philosophy learning based on the results of an in-depth interview with STISIP lecturer Syamsul Ulum. The research approach used is qualitative with data collection techniques through in-depth interviews, so that a comprehensive picture of philosophy learning practices in higher education is obtained. The results of the study show that discussion methods, case studies, and critical reflection are the most effective approaches in improving the quality of philosophy learning. The assessment is more focused on the student's thinking process, not solely on the final result, while the evaluation is directed at changing the way of thinking and the intellectual maturity of the students. These findings confirm that philosophy learning is not only oriented towards mastery of the material, but also on the formation of a critical, reflective, and ethical mindset that is an important provision for students in dealing with the complexities of academic and social life. Thus, philosophy learning plays a role as a means of intellectual development as well as student morals.

The advancement of Artificial Intelligence (AI) presents substantial potential for improving the quality of learning in elementary education, particularly through the application of AI prompts as instructional support in lesson planning and classroom implementation. Nevertheless, many teachers at Integrated Islamic Elementary Schools (Sekolah Dasar Islam Terpadu/SDIT) experience limited AI literacy and insufficient competence in designing pedagogically appropriate and effective AI prompts. This community service program aims to enhance AI literacy and strengthen the professional competence of teachers at SDIT Lukmanul Hakim Puring, Kebumen, in utilizing AI prompts to support instructional design, teaching materials development, and learning assessment. The program employed participatory methods, including socialization sessions, hands-on training, guided practice, and continuous mentoring. The results demonstrate a measurable improvement in teachers’ understanding and practical skills in constructing AI prompts aligned with pedagogical objectives. Furthermore, the integration of AI prompts contributes to increased instructional efficiency and pedagogical creativity. This program is expected to provide a sustainable model for supporting digital transformation in elementary school education.

This study aims to analyze the factors influencing the emergence of destructive leadership in schools. Destructive leadership is understood as leadership behavior that systematically harms the goals of the school organization, teacher well-being, and the educational work climate. This study used a library method with a descriptive qualitative approach, through the review and synthesis of various relevant scientific literature, both nationally and internationally. The analysis shows that destructive leadership in schools is influenced by three main factors: internal factors of the leader (characteristics and personality of the principal), follower factors (characteristics of teachers and education personnel), and factors of the school's organizational environment. These three factors interact and reinforce each other, as explained in the toxic triangle theory. Destructive leadership negatively impacts teacher work motivation, the school's organizational climate, and the quality of the learning process. Therefore, preventative measures are needed through strengthening the principal selection and development system, improving teacher professionalism, and creating a democratic and accountable school environment.

The provision of high-quality instructional materials is a crucial factor in the success of Indonesian Language for Foreign Learners (BIPA) programs, particularly at the advanced level which requires highly contextual content. This study aims to describe and evaluate the content suitability of the Sahabatku Indonesia BIPA 5 textbook. A descriptive-qualitative method was employed, with data collected through document studies. Purposive sampling was used for data analysis, and data validity was ensured through triangulation. The analysis focused on three primary dimensions: (1) the alignment of material descriptions with communicative objectives, (2) the accuracy of the instructional content, and (3) the quality of learning support materials. The findings indicate that the Sahabatku Indonesia BIPA 5 textbook achieves a suitability percentage of 87.5%, categorizing it as highly feasible for instructional use. The implications of this research are expected to serve as a reference for BIPA practitioners in selecting standardized teaching materials and provide constructive feedback for textbook developers in refining competency-based communicative materials.

This study explores the implementation of interpersonal communication between tutors and students in speaking class activities at the Kind English Course by applying DeVito’s Interpersonal Communication Theory. Interpersonal communication plays a vital role in English language learning, especially in speaking classes where real-time interaction directly shapes students’ engagement and learning outcomes. Using a qualitative literature review method, this research examines how the five key components of interpersonal communication—openness, empathy, supportiveness, positiveness, and equality—are applied within instructional practices. The analysis reveals that tutors who demonstrate openness and empathy foster stronger emotional connections with students, which encourages them to speak more confidently. Supportive and positive communication behaviors further create a safe and motivating learning environment where students feel valued and understood. Additionally, the principle of equality helps reduce hierarchical barriers, enabling more collaborative and interactive learning dynamics. Overall, the findings indicate that the consistent application of interpersonal communication principles significantly enhances students’ participation, confidence, and speaking proficiency. This study contributes to a deeper understanding of how communication quality influences language learning and underscores the importance of interpersonal competence among tutors in developing effective and engaging speaking class experiences.

This article explores inconsistencies in employee performance within small, project-oriented service sectors, where quality depends on daily tasks, punctuality, and adherence to procedures. Since skill development relies largely on informal workplace learning, differences in worker competencies often lead to rework, customer complaints, and safety issues. The study investigates how skills and competencies affect employee performance, illustrating how individual abilities translate into observable performance through the ability–motivation–opportunity (AMO) framework and experience-based learning. A qualitative case study at Rajasa Teknik included interviews and observations to examine project coordination, quality standards, and supervision practices. Results indicate that competencies and skills primarily influence ability, but sustained motivation- driven by realistic goals and fair feedback- along with ample opportunities such as smooth material flow, clear roles, and on-site decision support, enhance performance. The findings underline the importance of a cohesive work system (task division, quality control, communication), a consistent safety culture (K3), and straightforward, repetitive HR practices that facilitate tacit knowledge transfer into routines. Improvements suggested involve mapping core competencies, brief mentoring sessions, quality-focused standards, and evaluation systems to minimise service variation and promote sustainable performance in similar businesses. Overall, this research broadens the understanding of performance management in small enterprises and offers practical guidance for interventions.

The implementation of Electronic-Based Government Systems (Sistem Pemerintahan Berbasis Elektronik/SPBE) represents a strategic instrument of public administration reform aimed at improving service quality, efficiency, and governance through digital transformation. However, empirical evidence across countries indicates that the effectiveness of digital government initiatives is frequently constrained by persistent competency gaps among public sector personnel. This study conducts a thematic literature review to systematically identify, classify, and synthesize scholarly findings on competency gaps affecting SPBE and digital government implementation within the field of public administration. Drawing on peer-reviewed international literature published over the last decade and indexed in Scopus, Web of Science, and DOAJ, the review applies a narrative–synthetic approach supported by thematic analysis. The findings reveal four dominant dimensions of competency gaps: technical–digital competencies, managerial and digital leadership competencies, cross-sectoral collaborative competencies, and adaptive learning competencies. These gaps are shaped by interacting individual, organizational, and systemic factors, including misaligned human resource management practices, fragmented bureaucratic structures, and limited capacity-building mechanisms. Using Competency-Based Human Resource Management (CBHRM) as the primary analytical lens, and reinforced by Digital Government Theory, Digital Era Governance, and Capacity Building Theory, this study demonstrates that competency gaps are structural rather than merely individual deficiencies. The article contributes theoretically by integrating human resource and digital governance perspectives into a unified analytical framework, and practically by offering policy-relevant insights for strengthening public sector capacity and enhancing the sustainability of SPBE implementation.

Many students still face difficulties in understanding statistics because inaccurate preconceptions often develop into misconceptions. This condition is important to study since misconceptions can hinder the mathematics learning process and reduce the quality of students’ conceptual understanding. This study aims to analyze in depth how preconceptions affect the emergence of misconceptions among senior high school students in learning statistics. The research employed a qualitative descriptive method with a case study approach, involving three tenth-grade students from State Senior High School 1 Purwosari who were selected through purposive sampling based on high, medium, and low achievement categories. Data were collected through diagnostic tests in the form of essay questions to reveal students’ preconceptions and in-depth interviews to explore their reasoning, then analyzed descriptively. The findings show that students with accurate preconceptions did not experience misconceptions, students with partially correct preconceptions developed classificational, theoretical, and correlational misconceptions, while students with incorrect preconceptions experienced more complex misconceptions, such as considering the median as the largest value and failing to relate changes in data to the properties of the mean, median, and mode. The study concludes that inaccurate preconceptions directly contribute to the emergence of various forms of misconceptions. The implication is that teachers need to detect, identify, and correct students’ preconceptions from the beginning of the learning process so that misconceptions can be minimized and students’ understanding of statistics can develop more comprehensively.

This study aims to develop an Indonesian traffic sign detection system using a transfer learning approach to improve road safety and traffic efficiency. The dataset was obtained from Kaggle and consists of 2,100 images across 21 traffic sign classes. The research stages include data collection, preprocessing to reduce noise and normalize image brightness, object detection using YOLOv5, and classification based on transfer learning with ResNet, VGG-16, and MobileNet architectures. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results indicate that the YOLOv5 model is capable of detecting traffic sign objects; however, the classification performance remains relatively low, with a mean Average Precision (mAP) value of 0.17. These findings suggest that further optimization is required in data preprocessing, dataset quality, and model parameter tuning to achieve better performance. This study demonstrates that transfer learning has significant potential for developing computer vision-based traffic sign detection systems, although further improvements are necessary to ensure robustness under real-world Indonesian traffic conditions.

Instilling local wisdom values in early childhood is crucial for strengthening cultural identity and contextual learning. Learning media based on local wisdom needs to be developed and its effectiveness evaluated in early childhood education. This study aims to evaluate the quality of local wisdom-based instructional media for early childhood education across five aspects: systematics, language, substance, graphics, and usefulness. A descriptive quantitative survey was conducted with 100 early childhood teachers in Surakarta. The instrument was a validated questionnaire using a four-point rating scale. Reliability testing confirmed internal consistency, and ethical protocols (informed consent, anonymity) were observed. The research results show that, Findings reveal that systematics and usefulness scored highest, showing that the media is well-structured and supportive for teaching practice. In contrast, the substance and graphic aspects scored lower, indicating limited content depth and visual quality. Divergent views were noted on the use of foreign terms. Local wisdom-based instructional media is highly relevant and useful, but improvements are required in substance integration and visual design. This study contributes novelty by providing a comprehensive evaluation framework for media grounded in local culture. Practical implications highlight the importance of contextualizing media development for teachers, while future research should examine direct impacts on children’s learning outcomes.

The development of information technology requires innovative learning media to improve the quality of instruction in elementary schools. One technology-based learning medium that can be utilized is Kahoot as an interactive quiz. This study aims to describe the implementation of Kahoot in science learning on the topic of plant structure and functions and its effects on students’ conceptual understanding, learning activeness, and motivation in fourth-grade elementary school students. This research employed a descriptive approach with data collection techniques including observation, learning outcome tests, and documentation. The results indicate that the use of Kahoot creates a more interactive and engaging learning environment, increases students’ active participation, and enhances their understanding of plant structure and function concepts. In addition, Kahoot is effective as an evaluation tool because it provides immediate feedback and presents learning outcomes quickly and systematically. However, the use of Kahoot also has limitations, particularly its dependence on the availability of digital devices and stable internet access. Therefore, Kahoot can be used as an innovative alternative learning medium, provided that school conditions are considered and it is combined with other learning methods to optimize science learning.

Human resource management (HRM) in education plays a strategic role in determining the quality and success of educational implementation. Educators and educational staff are the main assets of educational institutions that directly influence the quality of learning processes and outcomes. This article aims to examine the concept of educational human resource management, its scope, and the urgency of implementing effective HRM in improving educational quality. This study employs a qualitative approach using library research by reviewing relevant books, scientific journals, and educational regulations related to human resource management and education. The results indicate that the scope of educational HRM includes human resource planning, recruitment and selection, placement and organization, training and development, performance appraisal, compensation and rewards, coaching and maintenance, as well as termination and retirement. The implementation of professional, systematic, and sustainable educational HRM contributes significantly to improving the professionalism of educational personnel, institutional effectiveness, and the achievement of educational goals. Therefore, educational human resource management is a key factor in realizing high-quality and sustainable education.

This study aims to describe in detail the implementation of the SMART-TENDIK PAUD innovation as a model for managing educators and educational personnel based on reflection, collaboration, and the use of simple technology, as well as to analyze its impact on improving teacher professionalism in early childhood education settings. This study employs a qualitative approach using a literature review method to explore relevant theories and previous research findings. Data collection techniques include document analysis and systematic online searches from various credible academic sources. Data analysis is conducted through the stages of data reduction, data display, and conclusion drawing to ensure comprehensive and accurate interpretation. The results indicate that the implementation of SMART-TENDIK PAUD enhances teachers’ reflective awareness, strengthens collaboration through active participation in learning communities, and improves the effectiveness of educational personnel management through the practical use of simple and accessible technology. Furthermore, this innovation contributes significantly to improving the quality of learning, making it more creative, adaptive, and innovative. Therefore, SMART-TENDIK PAUD can serve as an alternative model of effective, applicable, and sustainable management innovation in enhancing the professionalism of early childhood education teachers.

The analysis of locutionary speech acts is a pragmatic study that can reveal the role of digital communication in the learning process, particularly in educational videos such as the Positive Psychology Class on the YouTube channel Garvin Goei. Within this video, there are various forms of utterances, such as declarative, interrogative, and imperative, which serve to convey information clearly and build understanding among viewers. The accurate formulation of locutionary utterances will also influence the effectiveness of online learning, necessitating an in-depth analysis to assess their quality. The objective of this research is to identify the forms and functions of locutionary speech acts present in the video, which can subsequently be used as a reference in designing educational content. Good quality locutionary speech acts will impact learners' comprehension and interaction abilities in a distance learning context. The methodology employed is a descriptive qualitative approach, beginning with data collection through observation and note-taking techniques on the Garvin Goei YouTube video. The observation technique involves reading and observing the entire video content, while the note-taking technique includes recording locutionary utterances and re-verifying the obtained findings. After conducting the analysis, 606 data points of locutionary speech acts were obtained, with a dominance of declarative sentences (213), interrogative (145), and imperative (88), indicating variations in sentence structure and the use of conjunctions. The quality of these utterances is evaluated based on clarity of meaning, pragmatic function, and level of complexity. The results of this research are expected to serve as a reference for teaching materials and provide deeper insights into the influence of locutionary speech acts on the quality of digital educational communication.

This Research and Development (R&D) study aimed to develop a project-based learning (PjBL) hyper-content e-module to support students’ Self-Regulated Learning (SRL) in higher education. Utilizing the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation), the research addressed the need for innovative digital resources in the Learning Resource Center Management Course at Educational Technology Study Program Lambung Mangkurat University. Unlike previous studies that focused on isolated variables, this research integrates development, PjBL implementation, and SRL impact analysis. The hyper-content e-module incorporates multimodal features, including audio, video, infographics, and QR codes, to facilitate independent exploration. Validation by experts yielded high feasibility scores: 89% from material experts, 87% from media experts, and 88% from instructional design experts. Through qualitative content analysis conducted during the analysis and evaluation phase, the results confirmed that the PjBL-integrated e-module effectively improved students' learning independence by providing structured, project-oriented digital pathways. The results confirm that the e-module is a feasible and effective tool for modernizing instructional delivery. This study contributes an innovative framework for digital resource management and provides a foundation for future applied research in enhancing educational quality through self-regulated, technology-enhanced learning environments.

The increasing use of Learning Management Systems (LMS) in higher education generates large amounts of student activity data that have the potential to provide deeper insights into learning processes. However, in practice, these data are still rarely analyzed systematically to understand variations in students’ learning activity patterns, limiting their practical use in supporting teaching and learning. This study aims to explore students’ learning activity patterns in an LMS using a clustering approach based on activity data.This research utilizes the publicly available Open University Learning Analytics Dataset (OULAD), focusing on a single course and a single academic term. LMS activity data were processed through data cleaning and feature extraction, followed by student clustering using the K-Means algorithm. The quality of the clustering results was evaluated using the Silhouette Score, and visual analysis was applied to support the interpretation of the results.The results indicate that students’ learning activities can be grouped into two main patterns, namely a group of students with high learning activity and a group with lower or moderate activity levels. These findings highlight the existence of heterogeneous learning behaviors among students, even within the same learning context.The identified learning activity patterns provide an initial foundation for utilizing LMS data to monitor student engagement and to support the development of more responsive, data-driven learning approaches in higher education.

This study discusses the implementation of the demonstration method in Aqidah Akhlak learning at MA Al Muttaqin with the aim of describing the implementation process and identifying the perspectives and obstacles experienced by teachers and students. The demonstration method was selected because it is considered capable of instilling the values of faith and morality in a concrete and applicable manner, enabling students not only to understand the material theoretically but also to practice it in their daily lives. This research employed a descriptive qualitative approach with data collection techniques including classroom observations, in-depth interviews with teachers, the school principal, and students, as well as supporting documentation such as lesson plans and activity photographs. The collected data were analyzed through data reduction, data presentation, and conclusion drawing, and their validity was ensured through triangulation techniques. The findings indicate that the demonstration method was implemented in a planned manner through stages of preparation, implementation, and simple evaluation. Teachers actively demonstrated the learning material, while students were directly involved through practical activities and discussions. The method proved effective in enhancing students’ understanding, practical skills, and the development of Islamic attitudes and behaviors. Despite challenges such as limited time, large class sizes, and inadequate facilities, the demonstration method shows significant potential to improve the quality of Aqidah Akhlak learning when managed optimally.

Contemporary Islamic education faces a crisis of value transformation, where cognitive literacy achievements do not correspond proportionally to the quality of moral conduct (adab) and spiritual internalization. This study aims to examine this failure through a critical review of Prophetic Hadith on the phenomenon of literacy without faith. Employing a qualitative descriptive method based on library research, it analyzes relevant Hadith literature, books, and journals. The findings reveal that modern educational practices tend to reverse the learning sequence by prioritizing textual mastery before instilling the foundations of faith. This indicates that curricular formalism may impede the inner transformation of learners. The novelty of this research lies in its methodological critique of educational orientations that place text above faith. The study concludes that restoring the Prophetic method, guided by the principle of "learning faith before the Qur'an," is essential so that faith serves as the existential foundation for building robust, civilized, and functional religious character in real-life contexts.

This study investigates (1) the impact of the Flipped Classroom model on students’ learning independence in Social Studies, (2) its effect on Social Studies achievement, and (3) its simultaneous influence on both variables among Grade VIII students at SMPN 10 Satap Liukang Tangaya. A quantitative approach was applied using a quasi-experimental method with a Non-Equivalent Control Group Design. The sample comprised 33 students, with 17 assigned to the experimental class and 16 to the control class. Data collection instruments included a learning independence questionnaire, Social Studies achievement tests, observation sheets, and documentation. The data were analyzed through descriptive statistics, normality and homogeneity tests, paired samples t-tests, independent samples t-tests, and MANOVA using SPSS. The findings reveal that the Flipped Classroom model significantly enhances students’ learning independence, as evidenced by independent samples t-test results (Sig. < 0.05). It also significantly improves Social Studies learning outcomes, indicated by higher posttest scores in the experimental class compared to the control class (Sig. < 0.05). Furthermore, MANOVA results confirm a significant simultaneous effect on both learning independence and achievement (Sig. < 0.05). These results demonstrate that the Flipped Classroom model effectively improves the overall quality of Social Studies instruction for Grade VIII students.