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Indonesia requires Islamic Religious Education (PAI) as an important part in making students competent in cognitive, affective and psychomotor aspects (IQ and EQ). PAI functions to shape students' personalities so that they become virtuous and noble human beings (SQ). To increase competence in Islamic religious education, it is necessary to develop varied learning strategies. Varied learning strategies function to design learning methods and models, so that they are able to design teaching and learning environment systems and implement effectively and efficiently what has been planned in the learning objectives. Learning strategies are classified into 5 types: (1) direct learning strategies, (2) indirect learning strategies, (3) interactive learning strategies, (4) empirical learning strategies, (5) independent learning strategies.

This study aims to improve student learning outcomes in Pancasila Education subjects through the application of the Teaching at the Right Level (TaRL) approach in class X-1 of SMA Negeri 1 Rantau Selatan. The background of this study is the low learning outcomes of students caused by differences in learning abilities that have not been accommodated in the learning process. TaRL is an approach that adjusts learning to the level of ability of each student, not only based on class level. This study uses the Classroom Action Research (CAR) method which is carried out in two cycles, each consisting of the planning, action, observation, and reflection stages. Learning begins with a diagnostic assessment to determine students' initial abilities, which then become the basis for dividing study groups. The results of the study showed a significant increase in learning outcomes, indicated by an increase in the average score from 73 in the pre-cycle to 89 in the second cycle. In addition, student activity and involvement in the learning process also increased. These findings indicate that the TaRL approach is able to answer students' learning needs more specifically and has a positive impact on the learning process and outcomes. This approach is recommended as an alternative strategy in differentiated learning.

This article discusses the application of Fun Learning strategies in Islamic Religious Education subjects with the aim of improving students' academic abilities. Fun Learning strategy is an approach that emphasizes a fun and interactive learning atmosphere. Through the literature method, this article analyzes the concept and characteristics of the Fun Learning strategy and its benefits for students in Islamic Education subjects. The results show that the application of Fun Learning strategies can increase interest, motivation, concentration, and understanding of the material, as well as develop students' critical thinking skills, creativity, confidence, and positive character. Some ways of applying Fun Learning strategies include through games, storytelling, humor, charades and pictures. Thus, Fun Learning strategies can be used as an effective alternative to improve the quality of PAI learning and students' academic abilities.

This research aims to develop learning tools based on science process skills on ecosystem materials at SMA Negeri 11 Enrekang. The research focuses on creating teaching modules and learner worksheets (LKPD) that can increase students' understanding and active involvement in biology learning. This study uses a 4-D development model consisting of four stages: definition, design, development, and deployment, with this research limited to the development stage. The methodology used involves analyzing the needs of students and teachers, designing learning tools, and testing the validity and practicality of the developed tools. The validity test involved two expert validators, while the practicality test was carried out by involving teachers at SMA Negeri 11 Enrekang. The assessment is carried out through a questionnaire that measures the validity and practicality of the learning tools. The results showed that the learning tools developed received an excellent validity assessment, with a "very valid" score for the teaching module and "valid" for the LKPD. The practicality test also showed positive results, with the learning tools rated "very practical" by teachers. These findings indicate that science process skills-based learning tools effectively improve students' understanding of ecosystem materials. This research significantly contributes to developing process skills-based learning tools, which can be adapted in other schools. Further research could test the applicability of these devices to other materials and in different schools to expand their application in biology learning.

Getting quality feedback is important in many aspects of life. The teaching and learning process at school cannot be separated from the provision of teacher feedback to students. Feedback is necessary because it can provide information about students' abilities, guiding their ignorance at the time of learning something new and complex. However, in reality, not all teachers provide feedback that can motivate students' learning behavior. The method used in writing this article is the literature method by first collecting study materials and materials from various sources, namely books, journals, and related articles. The author formulates the existence of feedback techniques in the learning process, including several kinds of aids that can be received by students, so that they are easier to understand the lesson, namely visual, audio, and audio-visual aids. In addition, the role of motivation and media in the learning process for students is also very important and this can help the continuity of the teaching and learning process and the achievement of learning objectives.

PJOK plays an important role in movement activities for students at school. In the learning process, there are learning methods that can be used, one of which is the peer teaching method. PJOK material in junior high school has big ball games, one of which is basketball. This study aims to find out whether the application of peer teaching learning methods can improve basketball shooting free throw learning outcomes. This study used an experimental method with a randomized control group pre-test post-test design. The instruments used in this study are knowledge and skill tests. The study sample used cluster random sampling with class VIII A as the experimental class and VIII E as the control class with a total of 64 students. The results showed that the use ofpeer teachinglearning methods can improve the learning outcomes of shooting free throw basketball grade VIII at SMP.The value of increasinglearning outcomes in the medium category, namely knowledge increased by54.51% and skills by 42.40%.

The aim of this research is to determine the positive and significant influence of the Influence of Animation Media on the Learning Interest of Class VIII Students of SMP Negeri 2 Sipoholon, North Tapanuli Regency for the 2023/2024 Academic Year. The method used is an inferential descriptive quantitative research method, with a population of 123 students and a sample taken of 50% so that the sample for this research is 62 students using Random Sampling techniques.The instrument used in this research used a closed questionnaire of 36 questions, of which 15 questionnaire items were for variable X and 21 items were for variable Y which had been tested on 30 students outside the research sample. The results of the research show that there is a positive and significant influence between the Influence of Animation Media on the Learning Interest of Class VIII Students of SMP Negeri 2 Sipoholon, North Tapanuli Regency for the 2023/2024 Academic Year. 1) Test the relationship between rcount > rtable, namely 0.557 > 0.254, meaning there is a positive relationship between the influence of animation media on students' learning interest; 2) The significant test tcount>ttable is 5.194>2.000, meaning there is a significant relationship between the influence of animation media on students' learning interest; 3) The determination test is 31.02%, meaning that 31.02% of interest in learning is influenced by animation media; 4) The regression equation is obtained from  the more Animation Media increases, the more Student Learning Interest increases; 5) Test the hypothesis using a test F is obtained Fcount > Ftable  = ( = 0,05,dk numerator k =9,dk denominator = n-2 = 62-2 = 60)  that is 26,884 > 2,04. Thus, Ha, namely that there is a positive and significant influence between the Influence of Animation Media on the Learning Interest of Class VIII Students of SMP Negeri 2 Sipoholon, North Tapanuli Regency, for the 2023/2024 Academic Year is accepted and H0 is rejected.

The rapid growth of digital technologies has significantly increased the complexity and frequency of cyber threats, making network security a critical concern in modern information systems. Traditional security approaches, such as rule-based and signature-based systems, are often limited in detecting sophisticated and unknown attacks. Therefore, this study proposes an Anomaly-Based Intrusion Detection System (AbIDS) utilizing machine learning and deep learning techniques to enhance detection capabilities. The research adopts a Design Science Research approach, involving stages of problem identification, data collection, preprocessing, model development, system implementation, and evaluation. Several models, including Decision Tree (DT), Support Vector Machine (SVM), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), are implemented and compared. The results indicate that deep learning models, particularly LSTM and CNN, outperform traditional machine learning methods in terms of accuracy, precision, recall, and F1-score, while maintaining a lower false positive rate. Additionally, the integration of incremental learning enables the system to adapt to new attack patterns without requiring complete retraining, improving scalability and real-time performance. Despite the promising results, challenges such as computational complexity and false positives remain. Overall, the proposed IDS model demonstrates strong potential as an effective and adaptive solution for enhancing network security in dynamic environments.

Introduction: Children's growth and development and learning achievements require adequate nutritional intake by eating breakfast or what is usually called breakfast. Research objective: To determine the relationship between breakfast habits and nutritional status with student learning achievement at SDN 345 ​​Kaduaja, Benteng Deata, Gandang Batu Sillanan District, Tana Toraja Regency. Research method: This research method is descriptive correlational with a cross sectional approach, the sample size is 37 respondents. represents the population. This sampling technique is Proportional Stratified Random Sampling. Data was collected using a questionnaire and tested statistically.  Research results: From the results of this research, the majority of respondents were female, 21 students (56.8%), the majority of respondents were 10 years old, 12 students (32.4%). The majority of respondents with good breakfast habits were 19 students (51.4%), the majority of respondents with good nutritional status were 19 students (51.4%) and the majority of respondents with good performance were 25 students (67.6%). The results of the Fisher's exact test statistical test showed that there was no relationship between breakfast habits and learning achievement with a p-value = 0.528 and it was found that there was a relationship between nutritional status and learning achievement with a p-value = 0.033. Conclusion: Based on the research results, it was concluded that there was no relationship breakfast habits and learning achievement. There is a relationship between nutritional status and learning achievement of students at SDN 345 ​​Kaduaja, Deata Deata Castle, Gandang Batu Sillanan subdistrict, Tana Toraja Regency. It is recommended that students meet their nutritional needs by eating healthy and balanced foods.

The purpose of this study was to determine whether there is a positive and significant influence between the Use of Digital Literacy on PAK Learning Creativity of Class XII SMA Negeri 1 Balige Toba Regency Learning Year 2023/2024. The research method used is quantitative inferential statistical method. The population is class XII students of SMA Negeri 1 Balige Toba Regency who are Protestant Christians totaling 286 people and a sample of 43 people was determined using the Random Sample technique. Data were collected using a positive closed questionnaire of 40 items, namely 20 items for variable X and 20 items for variable Y. The results of data analysis show that there is a positive and significant influence between the Use of Digital Literacy on PAK Learning Creativity of Class XII Students of SMA Negeri 1 Balige Toba Regency Learning Year 2023/2024: 1) Analysis requirements test: a) positive relationship test obtained rxy value = 0.559> rtable (a=0.05, n=43) = 0.301. b) Significant relationship test obtained tcount = 4.322> ttable (a=0.05, dk=n-2=41) = 2.021. 2) Effect test: a) Regression equation test, obtained regression equation Y ̂ = “7.00”+0.60X. b) Regression determination coefficient test (r2) = 31.3%. 3) Hypothesis testing using the F test obtained Fhitung> Ftabel = (a=0.05, dk numerator k = 12, dk denominator = n-2 = 43-2 = 41), namely 18.68> 2.00. Thus Ha, namely there is a positive and significant influence on the use of literacy d. b) Test the regression determination coefficient (r2) = 31.3%. 3) Hypothesis testing using the F test obtained Fhitung> Ftabel = (a=0.05, dk numerator k = 12, dk denominator = n-2 = 43-2 = 41), namely 18.68> 2.00. Thus Ha, namely that there is a positive and significant effect of the use of digital literacy on the learning creativity of XII grade students of SMA Negeri 1 Balige, Toba Regency for the 2023/2024 Learning Year, is accepted and H0 is rejected.

The rapid growth of data-intensive applications has posed significant challenges for classical machine learning (ML) algorithms, particularly in terms of computational efficiency and scalability. This study explores the role of quantum computing in optimizing machine learning performance through the implementation of Quantum Machine Learning (QML), specifically using the Quantum Support Vector Machine (QSVM) model. The research adopts a Design Science Research approach, involving problem identification, model development, system implementation, and performance evaluation. Both classical Support Vector Machine (SVM) and QSVM models are developed and tested using benchmark classification datasets. The results indicate that QSVM outperforms the classical SVM model across multiple evaluation metrics, including accuracy, precision, recall, and F1-score. Additionally, QSVM demonstrates improved computational efficiency by reducing training time, particularly when handling high-dimensional data. These improvements are attributed to the ability of quantum computing to utilize quantum kernel methods and map data into higher-dimensional feature spaces, enabling better pattern recognition and classification performance.  Despite these promising outcomes, the study also identifies several limitations related to current quantum hardware, such as noise, decoherence, and limited qubit availability, which may affect scalability and practical implementation. Therefore, further research is required to enhance quantum hardware reliability and develop hybrid quantum-classical models. In conclusion, quantum machine learning offers a promising solution to overcome the limitations of classical approaches, providing enhanced performance and efficiency for complex data processing tasks in future intelligent systems.

The application of the active learning strategy in Islamic Religious Education (IRE) has gained attention due to its ability to enhance deep understanding of the subject matter. This study aims to analyze the impact of active learning on students' understanding of IRE material in the classroom. Using a qualitative research method through a literature review, this study examines various relevant sources on the concept and strategies of active learning and its effects on students' religious understanding. The findings indicate that active learning increases student engagement, deepens their understanding of Islamic values, and develops critical and analytical thinking skills. However, the implementation of this strategy faces challenges, such as time constraints, limited resources, and the readiness of both teachers and students. The implications of this study emphasize the importance of adopting an active approach in IRE teaching to create more meaningful and relevant learning experiences.

This study investigates the impact of gamified learning platforms on the development of critical thinking and problem-solving skills among middle school students. With the increasing reliance on digital tools, fostering these essential skills has become a critical educational goal. Traditional teaching methods often fail to engage students effectively, which has led educators to explore innovative approaches such as gamified learning. The experimental design of this study involved two groups: an experimental group using gamified learning platforms and a control group following conventional teaching methods. Data were collected through pre-tests and post-tests measuring students' critical thinking and problem-solving abilities. Results indicated that the experimental group showed a significant improvement in both skills, with a 20-point increase in their scores, while the control group exhibited minimal progress. The findings highlight that gamified learning, which integrates game mechanics such as points, rewards, and leaderboards, enhances engagement and motivation, leading to improved cognitive skills. This study emphasizes the potential of gamification to revolutionize educational practices, suggesting that its integration can be a powerful tool to equip students with the necessary skills for the future.

This study explores the potential of mobile educational applications to enhance student-centered inquiry-based learning (IBL) in secondary school classrooms. As traditional, teacher-centered pedagogies fail to adequately engage students in critical thinking and problem-solving, IBL offers a promising alternative that encourages active participation and deeper learning. The research investigates how mobile applications can support IBL by facilitating the inquiry process, such as data collection, hypothesis formulation, and collaboration. Through a quasi-experimental design involving secondary school students, the study compares the effectiveness of traditional teaching methods and mobile-assisted IBL. Results indicate that students using mobile applications showed significant improvements in critical thinking, engagement, and academic performance compared to those taught through traditional methods. Teachers and students both reported high satisfaction with mobile apps, particularly in terms of ease of use and educational value. The findings suggest that integrating mobile technologies into the classroom can create more interactive, accessible, and personalized learning experiences, fostering critical thinking and enhancing student outcomes. However, challenges related to infrastructure, teacher training, and digital literacy must be addressed to fully harness the potential of mobile-assisted inquiry-based learning.

This study investigates the efficacy of dynamic assignment strategies in enhancing English language proficiency, engagement, and motivation among learners compared to traditional assignment methods. Through a mixed-methods approach, involving quantitative analyses of language proficiency scores and engagement levels, as well as qualitative insights from student perspectives and teacher observations, the research highlights the significant advantages of integrating dynamic assignments in English language learning. Results indicate that students participating in the dynamic assignment group showed statistically significant improvements in overall language proficiency, particularly in speaking and writing skills (p < 0.05). Additionally, these students reported higher levels of cognitive, emotional, and behavioral engagement (p < 0.05), which were positively correlated with their language proficiency improvements (r = 0.62, p < 0.01). This suggests that the more engaged students are in their learning process, the better their language learning outcomes. From the qualitative data, students expressed a greater motivation and interest in learning English, attributing this to the real-world relevance and applicability of the dynamic assignments. Teachers corroborated these findings, noting enhanced active participation, collaboration, and improvements in students’ communication skills and confidence. However, both students and teachers identified challenges, including increased preparation time and the need for clearer guidelines to maximize the benefits of dynamic assignments. The study concludes that dynamic assignment strategies significantly contribute to improving language proficiency and engagement among English language learners. It suggests that addressing the identified challenges could further optimize the effectiveness of these strategies. This research advocates for a shift towards more interactive, relevant, and engaging teaching methodologies in language education to better prepare learners for real-world communication.

Canva app is a graphic design platform that has become a favorite among users who don't have a graphic design background. With a variety of easy-to-use features and templates, Canva is perfect for teachers who want to create engaging and interactive learning materials. The purpose of building a Canva application is to make users easy to use and free of charge with hundreds of attractive design templates for the community. Canva is also a multifunctional application that can be used for the development of learning media. One of the main benefits of Canva app training is to increase teacher creativity in creating engaging learning. The methods used in this community service activity are discussion, training and practice. The results of this canva application training activity are (1) the canva application can improve the quality of learning materials delivered by teachers, (2) the canva application increases the attractiveness of learning, (3) the canva application can encourage teacher creativity better, (4) increase the use of technology for teachers in learning materials.

The rapid growth of social media platforms has generated massive volumes of unstructured textual data containing valuable information about public opinions and sentiments. Extracting meaningful insights from this data has become increasingly important for decision-making in various domains, including business, politics, and social analysis. This study aims to evaluate the effectiveness of deep learning techniques for sentiment analysis of social media data, focusing on Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and a hybrid CNN-LSTM model. A quantitative experimental approach is employed, where datasets are preprocessed through text cleaning, tokenization, and feature representation using word embeddings. The models are trained and evaluated using standard performance metrics, including accuracy, precision, recall, and F1-score. The results indicate that all models perform effectively in sentiment classification tasks, with the hybrid CNN-LSTM model achieving the highest performance due to its ability to capture both local textual features and long-term contextual dependencies. This demonstrates that combining CNN and LSTM architectures enhances classification accuracy compared to individual models. Furthermore, the findings confirm that deep learning approaches are more robust in handling the complexity and noisiness of social media data compared to traditional methods. This study contributes to the development of more adaptive and accurate sentiment analysis models and highlights the potential of hybrid deep learning architectures for real-world applications.

This paper presents a comparative analysis of various battery management systems (BMS) in electric vehicles, with a focus on incorporating machine learning techniques to improve battery safety and extend battery life. The study evaluates conventional BMS against machine learning-enhanced models in predicting thermal runaway, state of charge (SOC), and state of health (SOH) under diverse operating conditions. Results indicate that machine learning algorithms outperform conventional methods, providing more accurate SOC and SOH estimations, thus enhancing vehicle safety and longevity.

Virtual Reality (VR) is not new in today's digital era. This technology has developed very quickly and has penetrated into many aspects of life, such as education. In this article, researchers reviewed current and previous research, to understand the extent to which Virtual Reality (VR) technology is used as an alternative learning media in educational institutions using the Systematic Literature Review (SLR) method by defining research questions as the first step. The search process was carried out from Scopus database using Publish or Perish 8 tools, and the selection of articles was based on inclusion and exclusion criteria related to the research questions. There were 200 articles found in the early stages of the search with a total of 22 articles that met the inclusion and exclusion criteria. The results obtained are in the form of a discussion of several aspects related to the use of virtual reality as a learning medium, such as: the type of technology, the location of educational institutions that use VR, learning domains, educational levels, evaluation techniques for learning with VR, and the purpose/benefit of its use.

This study explores the development and evaluation of an adaptive Intrusion Detection and Response System (IDRS) driven by Reinforcement Learning (RL) for securing 5G networks. The RL-based IDS is designed to overcome the limitations of traditional security systems by dynamically learning from real time network traffic and adapting to emerging cyber threats. Introduction: The rapid growth of 5G networks, with their increased number of connected devices and complex traffic patterns, necessitates advanced security solutions that can detect and respond to evolving cyberattacks. Literature Review: Traditional Intrusion Detection Systems (IDS), including signature based and anomaly based methods, are not equipped to handle the dynamic nature of 5G networks, leading to high false positives and low detection accuracy. In contrast, RL offers significant improvements in adaptability, detection accuracy, and response time. Materials and Method: The study simulates 5G network traffic and develops an RL-based IDS using Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO) techniques. The performance of the RL-based system is compared to traditional IDS systems, focusing on detection accuracy, false positive rates, and response times. Results and Discussion: The RL-driven IDS demonstrated superior performance, achieving higher detection accuracy (95%) and faster response times (30 milliseconds) compared to traditional methods. However, challenges such as computational cost and model interpretability were identified. The study emphasizes the importance of adaptive learning mechanisms and the integration of RL into Zero Trust Architecture (ZTA) to enhance the security of 5G networks.