Penelitian ini bertujuan untuk mengetahui bagaimana tingkat kepatuhan warga Dusun Sumberan terhadap interaksi sosial dalam menerapkan upaya pencegahan dan penyebaran Covid-19 di warung kopi. Penulisan artikel ini menggunakan jenis penelitian kualitatif dengan metode observasi dan wawancara baik secara luring maupun daring. Adapun teori yang digunakan dalam penulisan artikel ini adalah teori dramaturgi dan teori efektivitas hukum. Penelitian ini melihat adanya beberapa faktor yang memengaruhi tingkat kepatuhan hukum mulai dari faktor kaidah hukum, faktor penegak hukum, faktor sarana, faktor masyarakat, dan faktor kebudayaan. Dengan adanya faktor-faktor tersebut peniliti juga melihat adanya beberapa tingkat kesadaran warga Dusun Sumberan dalam penerapan 3M di warung kopi, antara lain tingkat kesadaran anomous, heteronomous, sosio-nomous, dan autonomous. Sehingga dalam penelitian ini ada dua jenis kesadaran yang teridentifikasi dalam membentuk kepatuhan hukum warga Dusun Sumberan, yakni tingkat kesadaran hukum Sosio-nomous dan autonomous.

This study focuses on the design and implementation of interactive multimedia in Information and Communication Technology (ICT) subjects by applying the Exploratory Tutorial method. Along with technological advances and the need for more interesting learning methods, interactive multimedia is considered to be able to improve the understanding of ICT concepts more efficiently. The Exploratory Tutorial method was chosen because of its ability to provide an in-depth learning experience through an exploration approach and structured tutorials. This study includes design stages that include needs analysis, content design, and development of interactive multimedia applications, followed by an implementation stage that includes testing and evaluating the effectiveness of the application in improving student understanding. The findings of this study indicate that interactive multimedia built using the Exploratory Tutorial method can improve student engagement and understanding of ICT subjects, as well as provide useful feedback for the development of teaching materials in the future.

This study explores the use of Broad Learning Systems (BLS) to predict the corrosion inhibition efficiency (CIE) of heterocyclic compounds, addressing limitations of deep neural networks (DNNs) such as vanishing gradients and computational inefficiency. BLS prioritizes network width over depth, enabling faster learning and improved generalization. Trained on quantum chemical properties (QCPs) of 192 heterocyclic compounds, BLS outperformed multilayer perceptron neural networks (MLPNN) and random forest (RF) models, achieving lower mean absolute error (MAE: 1.41), root mean square error (RMSE: 1.79), and higher R² (0.993). Predicted CIE values for quinoxaline derivatives (95.39% and 94.05%) aligned closely with experimental data. This study demonstrates the potential of BLS as an efficient, accurate, and scalable approach for predicting corrosion inhibition capabilities, contributing to advancements in corrosion science and environmentally friendly solutions.
 
Keywords - machine learning, broad learning system, neural network, corrosion.

This study explores Quantum Convolutional Neural Network (QCNN) starting from foundational quantum operations, such as the Rx gate for encoding MNIST image data into quantum states. We implemented quantum convolutional and pooling layers using one_unitary and two_unitary circuits, enabling effective feature extraction and dimensionality reduction while preserving critical information. Expressibility analysis revealed varying capabilities across different one_unitary circuits, with Rx, Ry, and Rz combinations demonstrating promising results akin to Haar random states. The proposed QCNN model exhibited robust performance metrics (accuracy: 95.98%, precision: 94.44%, recall: 96.59%, F1-score: 0.9551, AUC: 0.9604) in classification tasks, supported by efficient convergence during optimization. Future directions include expanding QCNN applications to handle more complex datasets and optimizing architectures to enhance quantum machine learning capabilities, particularly in image processing. This study underscores the potential of QCNNs in advancing quantum computing applications in neural network architectures.
 
Keywords: MNIST, classification, CNN, expressibility

School principals have a strategic role in improving the quality of graduates at State Elementary Schools (SDN). This article reviews various strategies that school principals can implement to achieve these goals, including strengthening school-based management, developing curricula that are relevant to students' needs, and increasing the competence of teaching staff through professional training and coaching. Apart from that, optimizing facilities and infrastructure, applying technology in learning, and managing a conducive learning environment are also the main focus. School principals are also expected to be able to build collaboration with parents, the community and other stakeholders to create a supportive educational ecosystem. The results of this strategy are measured by improving student learning outcomes, strengthening character, and the readiness of graduates to continue their education to a higher level. This study confirms that the success of school principals' strategies is highly dependent on innovative and collaborative leadership abilities.

This research aims to examine the development of 6th grade elementary school children, with a focus on physical, cognitive, emotional, spiritual and social aspects. The research method used is qualitative with a descriptive approach, which focuses on understanding phenomena through observation, interviews and documentation. The research subject is a child named Ahmad Pandi Prasetya, who is now in grade 6 of elementary school. The results showed that Pandi's physical development was within the normal range with a height of 133 cm and a weight of 28 kg. The results showed that the subject's physical development was in accordance with the average age, with a height of 133 cm and a weight of 28 kg. In the cognitive aspect, Pandi showed good drawing skills and was quite good. In the emotional aspect, Pandi is able to recognize and manage his feelings, even though he still needs parental assistance. The spiritual aspect shows that Pandi is still not consistent in his worship, Pandi's worship is still often broken, but Pandi's parents still remind him to continue praying 5 times a day, Pandi's parents also advise Pandi slowly and try to understand Pandi, Pandi's parents believe that if children are told in a gentle way, children will understand and slowly change for the better.  In the social aspect, Pandi turns out to be a child who lacks socialization, because Pandi is a child who spends his time at home and rarely leaves the house to socialize, he also has only a few friends. Overall, this research found that the subject's development was still not very good and perfect according to his age stage.

The low level of nationalism knowledge has led to the prominence of autonomous region implementation concerning the status of local people, low social concern, increased religious symbolism, rising acts of violence, and social disharmony, which have become serious issues in society. The aim of this research is to produce the Peace Generation Games Learning Media to enhance global nationalism awareness among students at IISIP Yapis Biak Papua. The research uses the development model from Borg and Gall, which includes planning, product design, product validation, product trials, and final product. The validation showed no need for revision. The trial was conducted on students by measuring their accuracy in answering questions during the game within a 5-second duration to assess their knowledge of global nationalism. The average result of the Peace Generation Games without revisions shows that 20 students completed the game successfully. Based on the results, it can be concluded that this learning media is valid, practical, and effective, thus improving the learning process in enhancing global nationalism awareness among students.

Pengembangan backend API yang efisien sangat penting dalam mendukung aplikasi web modern. Namun, pemilihan bahasa pemrograman dan metode query yang optimal masih menjadi tantangan bagi pengembang. Penelitian ini bertujuan untuk membandingkan kinerja backend RESTful API yang dibangun menggunakan tiga bahasa pemrograman (Go, PHP, dan JavaScript) serta empat metode pengambilan data (Raw SQL, ORM, Query Builder, dan Stored Procedure). Metode penelitian yang digunakan adalah kuantitatif true-experimental, dengan pengujian Load Testing, Spike Testing, dan Stress Testing untuk mengevaluasi jumlah permintaan yang berhasil, penggunaan CPU, dan penggunaan memori. Hasil pengujian menunjukkan bahwa Go dengan Raw SQL memiliki kinerja tertinggi dalam jumlah permintaan, waktu respons, dan penanganan beban, diikuti oleh Node.js, sementara PHP memiliki kinerja terendah.
 
Kata kunci: Backend API, Pengujian Kinerja, Metode Query

This research aims to provide a better understanding of the school field for students at SMA Negeri 9 Pekanbaru. This activity is expected to broaden horizons and enhance the knowledge and competencies of students in the field of education. Through observation and interviews with teachers, students can learn about various aspects of learning and educational management that take place in schools. The methods used in this research include the collection of notes and documentation, where students reorganize and explain what they have learned. One of the observation activities conducted was an interview with the teacher regarding daily activities at the school, from student arrival to dismissal time. This activity aims to provide students with direct experience in understanding the educational process at school. In addition, this research also provides benefits to educational institutions as a reference for improving the quality of education, facilities and infrastructure, as well as learning activities. Thus, it is hoped that the results of this research can contribute to the development of better education in the future. Overall, this research is not only beneficial for students in enhancing their competencies but also for educational institutions in their efforts to improve and develop the existing education system.

Education standards in Indonesia still face various challenges, especially in Tahai Jaya Village where there are still educational problems such as limited Merdeka curriculum books, unstable lesson schedules, and the low reading ability of grade 3 elementary school students, reflecting broader educational challenges. To overcome this, KKN students took the initiative to carry out free tutoring in Tahai Jaya village. The aim of this free tutoring program is to help improve the quality of education in Tahai Jaya village. The method used is the PAR (Participatory Action Research) method. The results of free tutoring activities in Tahai Jaya Village have succeeded in improving the quality of education in the area. This activity involves active community participation and is carried out for a month using interactive methods. As a result, students show increased motivation and learning abilities, especially in completing school assignments. Parents also felt the positive impact of this activity, because their children were more enthusiastic and eager to learn.