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This study aims to analyze the school supervision program and the competence of supervisors in an effort to improve the quality of educators. The school supervision program is designed as a guideline for the implementation of the main tasks and functions of supervisors, which include academic supervision, managerial supervision, educational evaluation, as well as coaching principals and teachers in the assisted schools. Competencies required by supervisors include personality, managerial skills, academic supervision skills, educational evaluation, and research and development skills. This study emphasizes the importance of sustainable and planned supervision by referring to the results of previous supervision and prevailing education policies. The findings show that the implementation of an effective supervision program supported by the competence of qualified supervisors can improve the quality of the learning process and the performance of educators in the assisted schools. Thus, strategic supervision is a key factor in creating a quality education system.

Good financial management is an important skill that needs to be taught early on. The learning process of financial reporting at the high school level aims to provide students with a basic understanding of accounting principles and the ability to prepare financial reports. This activity is part of a community service program designed to improve financial literacy and prepare the younger generation to face future economic challenges. The method used involves a practical approach with the delivery of basic theory, case-based training, and evaluation of learning outcomes. The results of the activity showed an increase in students' understanding of financial reporting concepts, such as balance sheets, income statements, and cash flows. Further discussion highlighted the importance of integrating this material into the school curriculum so that students are better prepared to face the world of work and independent businesses.

As a popular platform, Windows faces increasingly complex and diverse malware threats. This research evaluates Windows security weaknesses and finds effective methods of mitigating malware attacks. To ensure the validity of the results, the analysis was conducted through literature review, protection method evaluation, and data triangulation. The results show that layered protection methods, which include implementing firewalls, antivirus, and regular system updates, are highly effective in combating different types of malware, such as ransomware, trojans, and spyware. In addition, the use of machine learning and artificial intelligence helps detect threats in real-time. This research provides practical advice for developers and users on how to improve Windows security through a combination of proactive and reactive measures. It also suggests that users be more aware of cybersecurity. The results of this research are expected to serve as a reference for the development of more secure operating systems in the future.

The formulation of the problem in the research is How is the implementation of learning the traditional Sedulang Setudung dance using audio visual media for students at SMP N 35 Palembang? The aim of this research is to find out how the traditional Sedulang Setudung dance lesson is implemented using audio-visual media for students at SMPN 35 Palembang. The method used in this research is a qualitative method. Data collection techniques in this research used observation, interviews and documentation. The data analysis techniques used in this research are 1. Data reduction, 2. Data presentation, 3. Drawing conclusions. Based on the research results, it can be concluded that: 1) At the planning stage the teacher plans learning based on the competencies that must be achieved in the form of a learning implementation plan. The learning planning steps at the meeting include preliminary activities, core activities and closing activities; 2) At the implementation stage, the teacher carries out traditional dance lessons in Sedulang Setudung groups in learning activities using direct learning strategies, and a learning approach that is centered on students as learning subjects. In the learning process and delivery of material the teacher uses audio visual media to facilitate students' understanding. The learning methods used in the strategy are demonstration methods and drill methods; 3) At the evaluation stage, the teacher conducts an evaluation in the form of a practical test which is carried out at the end of each learning activity. Based on the results of the study, it shows that students follow the traditional dance learning of Sedulang Setudung well. , and obtained excellent results of the final practical exam evaluation.

The Community Service Programme at MA Mambaul Ulum Paiton focuses on improving the digital literacy of grade XII students through Microsoft Word training. This initiative addresses the urgent need for the students to acquire essential office software skills, which are critical for success in higher education and professional environments. The programme is implemented through three stages viz: planning, implementation, and monitoring and evaluation. It starts with identifying students' skill gaps, designing a phased curriculum, and delivering hands-on practice-based training. Training sessions covered basic topics, including an introduction to the Microsoft Word interface, formatting and organising documents, as well as advanced features such as creating tables and creating charts. To maximise learning outcomes, training was conducted in small groups, using interactive teaching methods and continuous evaluation. The results showed significant improvements in students' competencies, demonstrating the programme's ability to effectively bridge the digital skills gap. In addition, the initiative also provides long-term benefits by improving students' readiness to face academic and professional challenges. This effort not only fulfils an educational need, but also strengthens the overall quality of education contributing to the growth of digital literacy in MA mambaul Ulum.

This study aims to describe the Development of Civic Skills Through the Pancasila Student Profile Strengthening Project (P5) Based on Banten Batik Local Wisdom for Students at SMPN 1 Serang City. This study uses a quantitative approach and a descriptive approach. Practical activities carried out, such as batik making and exhibitions, provide direct experience that improves students' communication, cooperation, and leadership skills. This study found that the integration of local wisdom in learning can develop students' civic skills, build a sense of social responsibility, and increase awareness of the importance of active participation in society. The results of this study describe that in the implementation of the Pancasila Student Profile Strengthening Project (P5) Based on Banten Batik Local Wisdom consisting of three stages, namely planning, implementation, and evaluation, SMPN 1 Serang City has implemented Civic Skills.

This research aims to design syntax in literature learning using the Project Based Learning (PjBL) model at UPT SMP Negeri 17 Medan. This research focuses on the effectiveness of applying PjBL syntax in improving students' literary understanding, critical thinking skills and creativity. This research uses a qualitative descriptive method with data collection techniques through observation, interviews and documentation. Research findings reveal that the application of the PjBL model in literature learning has a positive impact on student engagement and in-depth understanding of literary material. Project-based evaluations also help students develop collaboration and communication skills. Systematic implementation of PjBL syntax provides a clear and effective learning structure, thereby improving the overall quality of learning.

This study aims to analyze the models and strategies of prose teaching, specifically Hikayat, at SMK Negeri 4 Medan. The teaching of prose plays a significant role in enhancing students' literacy, deepening appreciation for literary works, and instilling moral and local cultural values. The method used in this study is descriptive qualitative, which includes observation, interviews, and documentation, with an emphasis on the implementation of teaching strategies by Indonesian language teachers. The results of the study show that the learning process at this vocational school faces various challenges, such as low student interest and limitations in literacy. To address these issues, teachers integrate theory with practice, utilize multimedia-based technology, and implement group discussions to encourage active student participation. Evaluation is conducted through student work presentations, combining literacy assessment and speaking skills. Recommendations from this study include the development of innovative, technology-based approaches and increased student engagement in the learning process to create more effective and meaningful learning experiences.

Educational innovation is the application of new ideas, methods or technology in the field of education which aims to improve the learning process, expand access to education and improve learning outcomes. This innovation involves changes to teaching approaches, curriculum, evaluation, and school management to create a more effective learning environment. This research aims to analyze and examine various theories and research results on educational innovation in Indonesia. This research uses qualitative research methods with literature studies. The results of this research include (1) Educational Innovation, (2) Innovation to overcome Educational problems, (3) Quality of Educational Innovation, (4) Development of Educational Innovation, (5) Position of Educational Innovation, (6) Role of Educational Innovation, (7) Discussion of Innovation in Technology, (8) The Role of Innovation Management, (9) Learning Innovation, (10) Implementation of Innovation Power-based Education.

This research develops a fruit classification system using Convolutional Neural Network (CNN) in the educational application FruityLens, which helps children recognize different types of fruits through image recognition. The application can identify four types of fruits: apple, banana, orange, and watermelon, utilizing an image dataset from open sources. The research methods include dataset collection, image pre-processing, CNN model training, and classification accuracy evaluation. The results indicate that the developed CNN model achieves high accuracy, supporting children's learning about fruits. This implementation is expected to contribute to the advancement of artificial intelligence technology, specifically in the field of fruit object recognition.

In the era of globalisation and rapid technological development, developing the competencies of teachers and education staff is key to improving the quality of education. This article discusses various strategies for competency development in education human resource management (HRM), with a focus on teachers and education staff. Adopting an evidence-based approach identifies effective methods for training and professional development, including the utilisation of technology, online courses, and experiential learning. In addition, it explores the critical role of constructive feedback and continuous evaluation in the competency development process. The research underscores the importance of integration between HRM theory and daily educational practice to achieve optimal results. The results of this article are expected to provide practical guidance for educational institutions in designing effective development programmes to improve teacher and staff performance and advance the education system as a whole.

Learning of the Qur'an and Tajweed is an important aspect of education in Islamic boarding schools, because it is the foundation in understanding Islamic teachings as a whole. One of the factors that greatly affects a student is the application of the learning method used by the teacher. With the Active learning method as one of the effective ways to teach the Qur'an and Tajweed in the Putra Islamic Boarding School Dormitory, this study uses a qualitative approach with the research object of 30 students who participated in the learning program for 40 days through data collected through direct observation, in-depth interviews with teachers and students, and analysis of documents related to the teaching and learning process.The results of the study show that the methods applied, such as the use of the Recitation method, and active learning which have succeeded in improving students' understanding of tajweed and reading skills of the Qur'an. This interactive and effective method involving group-based learning has a positive impact, which can be seen from the increase in students' confidence in reading the Qur'an. In addition, the results of the evaluation showed that students felt more comfortable, and interested and motivated to learn when using methods that involved social interaction.Thus, this study recommends the application of more innovative and comprehensive learning methods to increase the effectiveness of learning the Qur'an and Tajweed in Islamic boarding schools. It is hoped that this research can be a reference for pesantren managers in designing better learning programs and empowering students to master the Qur'an properly and correctly.

Dengue fever (DHF) is an infectious disease caused by the dengue virus and transmitted through the bite of the Aedes aegypti mosquito. This disease is a major health problem in many tropical countries, including Indonesia. Identification and classification of DHF patients is very important to prevent further spread and to provide appropriate medical treatment. In this study, the classification of DHF disease is carried out using the K-Means algorithm, which is one of the methods in machine learning used to classify data based on similarity of features. This study aims to apply the K-Means algorithm in classifying DHF cases based on data on symptoms that appear in patients, such as high fever, joint pain, skin rashes, and others. The data used includes patient medical records that record various clinical and demographic parameters. The K-Means algorithm is used to group the data into clusters that describe the severity category or potential risk of dengue disease. The results showed that the K-Means algorithm can be used to cluster DHF patients well, with the division of groups that can describe the severity of the disease. Evaluation was conducted using metrics such as silhouette and cluster validity to assess the effectiveness of the algorithm in performing classification. This model is expected to help medical personnel in decision-making, provide early warning, and improve rapid response to dengue cases.

Palembang Religious Education and Training Center as an education and training institution utilizes information technology, especially wifi internet networks to support various learning and training activities. To support these needs, a quality internet network is needed, so an evaluation and measurement of Quality of Service (QoS) is needed, because QoS is able to measure various important parameters in the network, such as throughput, delay, jitter, and packet loss, all of which play an important role in ensuring the network functions properly.  The standard used is TIPHON. By using the Action Research method, this research will produce real internet quality data in accordance with actual conditions. After testing, the average results on the 4 parameters tested obtained an index value of 3. So that the overall quality of the internet network at the Palembang Religious Education and Training Center has good network quality.

This research discusses the impact of the School Literacy Movement (GLS) at MAN 1 Pandeglang to increase students' interest in reading and literacy skills through literacy outreach every Wednesday morning. The method used is descriptive qualitative, with data collection through interviews, observation and documentation. The results show that GLS is implemented in three stages: Habituation, Development, and Learning. Even though there is support from various parties, challenges such as a lack of reading materials and the performance of the school literacy team are obstacles. This research recommends improving facilities and program evaluation to support the success of GLS. With that, the writing of this article will discuss the problem statement: 1) What is the meaning of the School Literacy Movement (GLS) 2) How is the School Literacy Movement (GLS) implemented. 3) What is the impact of the Literacy program on MAN 1 Pandeglang students and students?

Computer vision technology has advanced rapidly and made significant contributions across various fields, including object identification in images. This study aims to develop a computer vision-based system to identify fruit types from images. A machine learning model is applied using a dataset of fruit images to train the system for accurate fruit recognition. The primary processes include data acquisition, image preprocessing, feature extraction, model training, and performance evaluation. The results demonstrate a high level of accuracy in identifying specific fruit types, showcasing the potential of this technology in agricultural and commercial applications.

This study aims to identify obstacles and challenges in the application of digital evaluation tools for English learning in grade VI of SD Negeri 2 Siangan. The method used was qualitative descriptive research, with data collection through questionnaires and interviews involving 31 students and grade VI teachers. The results of the study showed that 85% of students felt an increase in learning motivation after using digital evaluation tools, although 40% of students experienced difficulties, especially related to limited internet access. Interviews with teachers revealed that they felt trained enough to utilize this tool effectively. Limited infrastructure and lack of training for teachers were identified as major challenges. Therefore, this study recommends the need to improve technology infrastructure and training programs for teachers to optimize the use of digital evaluation tools in English learning.

Educational management plays a strategic role in determining the success of learning processes in various educational institutions. Evaluation and accountability are two interrelated key elements in shaping an effective, transparent, and sustainable education system. This study aims to develop an adaptive and responsive educational management concept to meet contemporary demands and provide strategic recommendations for educational institutions in improving learning quality. Using a qualitative approach with a descriptive-analytical design, this research finds that the integration of systematic evaluation and strong accountability is a fundamental aspect of educational management. Evaluation provides in-depth data on learning effectiveness, while accountability ensures that every component of the educational system takes responsibility for the outcomes achieved. Together, they significantly contribute to creating an educational management mechanism oriented toward continuous quality improvement. 

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

The implementation of this learning aims to be able to implement the Blended Learning learning model through interactive learning multimedia in improving the understanding of the concept of Harmony in Ecosystem material for fifth grade students of UPTD SD Negeri Bluru. The purpose of blended learning is to increase flexibility, optimize time and increase interaction. To obtain accurate results, the implementation procedure is carried out using an experimental method with a pretest-posttest design with a control group. The implementation of learning is carried out by integrating two types of online and face-to-face learning based on interactive learning multimedia which is expected to create a more meaningful learning experience and improve students' understanding of ecosystem concepts. The results of the study showed a significant increase in students' understanding of concepts after participating in blended-learning learning. In addition, students also showed a higher interest in learning and were more active in participating in learning activities. Blended learning will continue to be improved and updated so that it can be used in other subjects with relevant material. In this case, there needs to be reflection, evaluation and follow-up systematically and comprehensively.