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This study aims to examine the influence of principal leadership and school culture on teacher discipline in public junior high schools (SMP Negeri) in Sembawa District, Banyuasin Regency. Teacher discipline is an important factor in supporting the effectiveness of the learning process and achieving educational goals. Therefore, understanding the factors that contribute to teacher discipline is essential for improving school performance. This study employed a quantitative research method with a purposive sampling technique. Data were collected through the distribution of questionnaires consisting of 66 statement items measured using a five-point Likert scale. The collected data were analyzed using statistical techniques to determine both partial and simultaneous effects of the independent variables on teacher discipline. The results indicate that principal leadership has a positive and significant partial effect on teacher discipline, as evidenced by a t-value of 5.127, which is greater than the t-table value of 1.9809. School culture also has a positive and significant partial effect on teacher discipline, with a t-value of 7.244 exceeding the t-table value of 1.9809. Furthermore, principal leadership and school culture simultaneously have a positive and significant effect on teacher discipline, as indicated by an F-value of 34.152, which is greater than the F-table value of 3.07. These findings suggest that strengthening principal leadership and fostering a positive school culture can significantly improve teacher discipline.

This research aims to analyze how gender and culture are represented in the Grade VIII Indonesian language textbook of the Merdeka Curriculum. The focus is on various aspects of gender representation, such as the depiction of characters, their roles, activities, attributes, social status, gender equality, and stereotypes related to gender. Additionally, the study explores cultural representation, which encompasses cultural forms, diversity, local traditions, context, ways of presentation, and the cultural values expressed in the textbook's texts and illustrations. The methodology employed is descriptive qualitative research with a content analysis framework. Data were gathered through documenting and note-taking methods on the content of the textbook, followed by an analysis process that includes identification, classification, interpretation, and drawing conclusions. Findings indicate that the gender representation in the textbook predominantly portrays men as leading figures in public roles, leadership, and decision-making, whereas women are mainly shown in nurturing, domestic, and supportive capacities. On the other hand, the cultural representation illustrates the variety of Indonesian culture by showcasing regional customs, languages, art forms, traditional cuisine, practices, and societal norms. The study concludes that although the textbook presents cultural diversity adequately, there is a need for improvement in gender representation balance to better reflect equality values in the educational experience.

This study aims to examine the debate regarding the effectiveness of traditional learning methods in science education at Madrasah Ibtidaiyah (MI) amid the development of educational digitalization. The study employed a qualitative approach with a case study design conducted in Jember Regency for three months, from February to April 2026. The research informants consisted of 16 participants, including madrasa principals, teachers, parents, and community members. Data collection techniques were carried out through interviews, observations, and documentation, which were then analyzed using descriptive qualitative techniques. The findings revealed that traditional methods are still considered effective in helping students understand basic science concepts because the learning process is systematic and easy to comprehend. However, limited access to technology in several schools remains an obstacle to the equal implementation of digital learning. In addition, although digital learning can increase students’ motivation and engagement, it does not necessarily lead to an optimal improvement in conceptual understanding. Therefore, this study concludes that a combination of traditional and digital learning methods is the most appropriate approach in science learning at elementary schools and Madrasah Ibtidaiyah, considering students’ needs as well as the availability of facilities and infrastructure. structure.

This article analyzes the recurring flash floods in North Konawe Regency which occurred in 2000, 2013, 2016, 2018, 2019, 2020, and 2021 as ecological disasters causally linked to three decades of natural resource exploitation through logging, oil palm plantations, and open-pit nickel mining. Using the dual framework of political ecology and environmental justice, this article argues that these disasters are not neutral natural events, but rather the product of a structured system of injustice: the indigenous Culambacu People and Tolaki People communities who were excluded from decision-making processes regarding extractive permits have borne the greatest burden of the destructive impacts of such exploitation. The most dramatic event was the 2019 flood that devastated Tapuwatu Village, causing losses amounting to Rp 674.8 billion and displacing 9,908 people. The findings demonstrate that the dominant government narrative framing the floods as “natural disasters caused by high rainfall” constitutes a strategic denial that obscures structural responsibility. Empirical data including rates of deforestation, exceeded river carrying capacity, and the chronology of concession expansion correlated with disaster escalation support the ecological disaster thesis. Persistent poverty amid abundant natural resource wealth confirms the condition of a “sacrifice zone,” characterized simultaneously by distributive, recognitional, and procedural injustices.

Sleep duration and sleep quality are essential physiological needs that play a significant role in the emotional and behavioral development of children aged 3–6 years. Adequate sleep supports brain development, cognitive functioning, emotional regulation, and social interaction skills in early childhood. Conversely, poor sleep duration and low sleep quality may negatively affect children’s attention, mood stability, and ability to interact socially with peers and caregivers. This article is a literature review using a systematic review approach that analyzes 10 scientific articles published between 2016–2026 to evaluate the relationship between sleep duration and sleep quality with emotional and behavioral problems in preschool children. The article selection process followed the PRISMA flow diagram, with articles sourced from Google Scholar, PubMed, and ScienceDirect databases. The findings consistently indicate that inadequate sleep duration and poor sleep quality are associated with increased emotional and behavioral problems, including hyperactivity, anxiety, emotional dysregulation, and difficulties in social interaction among children. Furthermore, sleep disturbances were found to negatively influence children’s emotional self-regulation abilities, which are crucial for adaptive behavior. Therefore, ensuring adequate sleep duration and improving sleep quality are important strategies to support optimal emotional and behavioral development in preschool-aged children.

Sign language recognition is one of the areas of image recognition and image processing technology that is developing rapidly in human-computer interaction. This technology really helps the deaf and speech impaired in communicating with non-disabled people. This research aims to examine the optimization of an object tracking system in sign language using the Gaussian Mixture Model (GMM) and Kalman Filter by including the Region of Interest (ROI). The proposed system consists of three main components, namely hand detection, object extraction, and classification. Hand detection is done using the Kalman Filter to track hand movements accurately. Next, Region of Interest (ROI) features, such as shape, direction and movement features, are extracted from the detected part of the hand. These features are fed into a Gaussian Mixture Model (GMM) classifier, which can recognize sign language based on the extracted features. With the combination of GMM and Kalman Filter in this research, it can increase accuracy in object tracking, reduce interference from the background, and ensure the tracking focus remains on important objects. The dataset used is in the form os SIBI alphabet symbols, namely A-Z with the amount of data for each class, namely 620 images. Based on the research result, model testing using GMM, Kalman Filter and ROI produces higher accuracy of 99%, while model testing using GMM and ROI produces accuracy of 90%.

This study aims to examine in depth the professional competence of mathematics teachers through a literature review approach. The method used in this research is a literature review by analyzing ten relevant scientific articles obtained from various credible national and international sources. The study was conducted to identify the factors influencing the professional competence of mathematics teachers and its implications for the quality of learning and students’ learning outcomes. The findings reveal that mathematics teachers’ professional competence plays a significant role in improving the effectiveness of the learning process, students’ critical thinking skills, and mathematics learning achievement. Factors influencing professional competence include continuous training, academic supervision, teacher certification, teaching experience, intrinsic motivation, and the integration of digital technology in learning activities. In addition, professional competence is closely related to pedagogical competence in supporting students’ mathematical skills. The findings of this study emphasize that the development of mathematics teachers’ professionalism should be carried out systematically, continuously, and adaptively to technological advancements in order to improve the quality of mathematics education in the digital era.

The Baduy community in Kanekes Village has economic potential based on traditional crafts with high cultural value, such as weaving and woven fabrics. However, the management of craft businesses is still carried out in a simple manner without a structured human resource (HR) management system. Problems faced include the lack of a clear division of tasks, inefficient production processes, and limited marketing strategies. These conditions hamper the optimal development of craft businesses. This community service activity aims to strengthen human resource management based on local wisdom in order to increase the capacity of traditional craft businesses in the Baduy community. The solution offered is training and mentoring on simple business management adapted to traditional values. Activities include socializing the importance of HR management, training on the division of labor within groups, improving production skills, and developing marketing strategies that respect local wisdom. The implementation method uses a participatory approach through the stages of preparation, training, mentoring, evaluation, and program sustainability. The community is actively involved in every stage of the activity to ensure the program's suitability to local socio-cultural conditions. This activity results in increased human resource capacity in craft business management, the establishment of a more organized work system, and an increased economic value of craft products. In addition, this activity is expected to produce a community empowerment model based on local wisdom and scientific publications in community service journals.

Gesture  recognition  technology  is  used  to  detect  movements  through  image processing,   enabling  computers  or digital devices to understand and interpret human  body  movements  as  input  or  commands.   This  technology  has  great potential  to bridge communication between the deaf community and individuals without   hearing   impairments,    enhancing  interaction  and  enriching  mutual understanding between the two.  However,  the accuracy ofgesture recognition is often  affected  by variations in the distance between hand landmarks.  Based on this problem,  this research proposes a methodfor stabilizing the measurement of distances between landmark points  in gesture recognition through a polynomial regression  approach.   Specifically,   the  distance  between  hand  landmarks  is calculated and stabilized using polynomial  regression to improve the accuracy of gesture recognition.  This method is implemented using the MediaPipeframework to detect and track hands in real-time,  and the OpenCV library to manage video. The  research  results  show  that  this  approach  can  significantly  improve  the stability  and accuracy  of gesture detection.   The developed system successfully detects gestures for  letters A  through F with a high accuracy  rate,  averaging above 98,3%.  The use ofpolynomial regression helps enhance detection accuracy by reducing noise in the landmark data.

This study aims to determine the effect of the deep learning learning approach on fourth-grade elementary school students’ understanding of IPAS concepts, particularly on the topic of pollination in perfect flowers. This research employed a quantitative approach with a quasi-experimental design using a pre-test and post-test control group design. The population consisted of all fourth-grade students of SDN 4 Muara Dua, totaling 58 students, who were divided into experimental and control classes through total sampling techniques. Data collection techniques included tests, observations, and documentation. The research instruments were tested for validity and reliability before being implemented in the study. The results revealed that the implementation of the deep learning approach had a positive effect on students’ understanding of IPAS concepts. This was indicated by the higher post-test scores achieved by students in the experimental class compared to those in the control class. In addition to improving conceptual understanding, the deep learning approach also enhanced students’ critical thinking skills, activeness, and participation during the learning process. Therefore, the deep learning learning approach can be considered an effective alternative strategy to improve elementary school students’ understanding of IPAS concepts.

Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.

This study aimed to develop Matif (Interactive Mathematics) video media on the topic of equivalent fractions for fourth-grade elementary school students and to determine its validity, effectiveness, and student responses. The research employed a Research and Development (R&D) method using the ADDIE model. It was conducted at SD Muhammadiyah Gresik during the first semester, involving 19 fourth-grade students. Data collection techniques included interviews, expert validation sheets for content and media, learning effectiveness tests, and student response questionnaires. The development process followed five ADDIE stages. (1) Analysis involved curriculum analysis, needs analysis, and student characteristics analysis. (2) Design focused on creating the learning flow and storyboard. (3) Development produced the video media, which was validated by experts. The material expert validation score reached 97.5%, and the media expert validation score was 91.6%, both categorized as very valid. These results indicate that the material is highly appropriate, clear, and easy to understand, while the media demonstrates excellent quality in visual, audio, typography, language, and usability aspects. (4) Implementation involved testing the media on students, with an N-Gain score of 0.8405, categorized as high, indicating that the media effectively improves students’ understanding. (5) Evaluation was conducted through student response questionnaires, resulting in a score of 95.5%, categorized as very good, showing that students found the media engaging, easy to use, and helpful. Overall, the Matif video media meets the criteria of validity and effectiveness, making it suitable as an innovative learning alternative, with potential for further development through enhanced animations and varied exercises.

The development of digital technology has brought significant changes in the field of education, especially in the learning process, school management systems, and teachers' work patterns. This situation requires school principals' leadership who can adapt, be innovative, and act as agents of change in improving teachers' work ethic. This study aims to analyze the role of school principals' transformational leadership in enhancing teachers' work ethic in the digital era and to examine its relevance to educational transformation. The research method used is a qualitative approach with a literature study type through the analysis of various journals and scientific sources from 2020–2025. The results of the study indicate that school principals' transformational leadership plays an important role in increasing teachers' motivation, commitment, and professionalism through ideal influence, inspirational motivation, intellectual stimulation, and individualized consideration. In addition, this leadership is also capable of creating a work culture that is collaborative, innovative, and adaptive to technological developments. Digital transformation in education not only involves the use of technology but also changes in work culture and the improvement of human resource competencies in schools. The implications of this research confirm that school principals as transformational leaders have a strategic role in the success of educational transformation in the digital era through the continuous enhancement of teachers' work ethic.

This study aims to analyze the effectiveness of the implementation of fixed asset accounting systems and procedures at the Department of Transportation of Medan City. The research employs a qualitative approach with a descriptive method to gain an in-depth understanding of actual field conditions. Data were collected through observation, interviews, documentation, and literature review, involving four informants directly engaged in fixed asset management. The results indicate that the implementation of fixed asset accounting systems and procedures has been relatively effective, as reflected in the execution of asset management stages in accordance with applicable regulations and the utilization of information technology-based systems. These systems support more structured recording and reporting processes. However, the effectiveness has not been fully optimized due to several constraints encountered during implementation. Factors influencing effectiveness include the quality of human resources, the use of technology, data completeness, and coordination among work units. The identified challenges involve data inaccuracies, limited user competence, weak internal control, and technical issues within the system. These conditions affect the quality of financial reports, particularly in terms of accuracy and timeliness, and also influence the effectiveness of internal control. This study contributes by identifying key issues and highlighting the importance of improving system quality and human resource capacity to support more effective and accountable fixed asset management.

The development of information and communication technology has increased the use of gadgets among high school students. Gadgets provide convenience in the learning process, but also have the potential to affect students' social behavior patterns. This study aims to describe and analyze the influence of gadget use on the social behavior patterns of students at SMA Negeri 3 Salatiga. This study uses a mixed methods approach, which is a combination of qualitative and quantitative methods. Qualitative data was obtained through observation, interviews, and documentation, while quantitative data was obtained through the distribution of questionnaires to 72 students in grades XI-5 and XI-7 who were selected using purposive sampling techniques. The results of the study showed that the use of gadgets had an effect on decreasing the intensity of direct social interaction, reduced empathy for the surrounding environment, weakening interpersonal communication with peers and teachers, and low cooperation in group activities. Students tend to focus more on the use of gadgets than active involvement in social activities in the school environment. Therefore, it is necessary for schools, teachers, and parents to supervise and guide the use of gadgets wisely so as not to hinder students' social development.

This study aims to implement Business Intelligence using Microsoft Power BI to support network disturbance monitoring based on trend analysis. The main problem addressed in this research is that network disturbance data has only been used as documentation, resulting in suboptimal monitoring and data analysis processes. The data used in this study consists of historical network disturbance data, including information on disturbance location, type of disturbance, occurrence time, and resolution duration. The research methodology includes data collection, data preprocessing, implementation of a Business Intelligence dashboard, and trend analysis using interactive visualizations in Microsoft Power BI. The developed dashboard consists of Key Performance Indicators (KPI), interactive filters, line charts, pie charts, bar charts, and table visuals to support a more effective and structured network monitoring process. The results show that the implementation of the Business Intelligence dashboard is capable of supporting real-time, interactive, and user-friendly monitoring of network disturbances. The trend analysis results indicate that the number of network disturbances fluctuated each month, with the highest number occurring in August and the lowest in November. In addition, the dominant types of disturbances were identified as Supporting Facilities and Electrical Problems. Based on functional testing and user testing results, all dashboard features performed successfully and were considered effective in supporting monitoring activities and data-driven decision making.  

This study aims to analyze the implementation of the Project Based Learning (PjBL) model in art education as an effort to enhance the creativity and artistic understanding of Animation Department students at SMK Negeri 2 Palu. The study employed a descriptive qualitative approach involving animation students and supervising teachers as research subjects. Data were collected through observation, documentation, and reflective analysis during the teaching assistance program. The learning implementation was carried out through the introduction of traditional, modern, and contemporary art concepts integrated with practice-based creative project activities. The findings indicate that the application of PjBL significantly increased students’ active engagement in the learning process, strengthened their conceptual understanding of visual arts, and improved their ability to express creative ideas through visual works. Furthermore, the establishment of the “Kreasi Animasi Seni Budaya” community provided a collaborative space that supported the sustainable development of students’ creativity and artistic reflection. These findings demonstrate that project-based art learning is effective in optimizing the artistic competencies.

Flooding is one of the most common hydrometeorological disasters that significantly affects community life and governmental administration. Post-disaster management requires the involvement of multiple stakeholders through a collaborative approach to accelerate rehabilitation and reconstruction efforts. This study aims to analyze the humanitarian mission carried out by cadets of the Institute of Public Administration (IPDN) in post-flood management in Aceh Tamiang Regency using the Collaborative Governance framework developed by Ansell and Gash (2008). The study employs a qualitative approach with a case study method. Data were collected through document analysis, including activity reports, photographic documentation, official publications from the Ministry of Home Affairs, IPDN, local governments, and other supporting documents. Data analysis was conducted through coding, categorizing, and thematizing processes, which were subsequently interpreted based on the dimensions of Collaborative Governance. The findings indicate that the involvement of IPDN cadets represents an effective practice of collaborative governance. In the starting conditions dimension, collaboration was driven by the urgent need for rehabilitation and the limited resources available to the local government. The facilitative leadership dimension was reflected in the roles of the Ministry of Home Affairs, local governments, and the Regional Disaster Management Agency (BPBD) in facilitating coordination among stakeholders. Furthermore, institutional design was manifested through clear task allocation and coordination mechanisms, while the collaborative process was characterized by dialogue, trust, commitment, and shared understanding in supporting post-disaster recovery.

Manual management of customer receivables in manufacturing companies often leads to inefficiencies, including slow analysis processes, difficulty in monitoring outstanding balances, and limited ability to track payment trends comprehensively. This study designed a Business Intelligence Dashboard using Microsoft Power BI to address these issues at PT. XX Industry, employing a Software Development Life Cycle (SDLC) approach consisting of four stages: Planning, Analysis, Design, and Implementation. During the design phase, a data warehouse was built using a star schema model in SQL Server Management Studio, followed by an Extract, Transform, Load (ETL) process to ensure data accuracy and consistency prior to integration into Power BI. Five Key Performance Indicators (KPIs) were established collaboratively with company management through a series of online discussions, comprising Total Invoice, Total Payment, Total Receivables, Payment Rate, and Average Payment Time, all implemented using DAX expressions. The resulting dashboard features monthly trend visualizations, customer-based receivables distribution, and interactive filter capabilities. System testing confirmed that all components functioned correctly, while ETL validation verified consistency between processed and source data. User Acceptance Testing (UAT) conducted by management yielded an average score of 4.7 out of 5, reflecting a very high level of user acceptance. Overall, this dashboard proved effective in improving receivables monitoring efficiency and supporting faster, data-driven decision-making.

Student cooperatives in Islamic boarding schools are no longer merely understood as business units providing daily necessities, but have developed into socio-economic spaces that shape independence, trust, and Islamic entrepreneurship education among students. This study is motivated by the limited number of studies examining pesantren cooperatives as socio-religious processes that cultivate values of trustworthiness, responsibility, transparency, and cooperation in students’ daily lives. The study aims to explain the empirical practices of student involvement in cooperative management, the social relations formed through economic activities in pesantren, and their implications for Islamic entrepreneurship education and the strengthening of pesantren economic independence. This research employed a qualitative approach with a field study method conducted at Pondok Pesantren Modern Elfira 2 Purwokerto. Data were collected through observation, interviews with cooperative administrators and student managers, and documentation of financial reports and cooperative operational activities. The findings reveal that students are directly involved in managing goods inventory, customer service, digital financial recording, and the distribution of daily necessities within the pesantren environment. These practices foster values of trustworthiness, transparency, responsibility, and cooperation through supervision systems, work shift arrangements, and daily evaluations. In addition to strengthening the pesantren’s economy, the cooperative also functions as a medium for experiential Islamic entrepreneurship learning. This article contributes to the sociology of Islamic education by demonstrating that student cooperatives function as socio-economic laboratories that shape students’ independence, social trust, and Islamic entrepreneurial ethics within the everyday life of pesantren communities.