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The aim of this research is to discuss the analysis of high school students' self-efficacy in learning mathematics. This research is qualitative research that uses descriptive methods. The instrument used is a non-test instrument, namely a questionnaire. Through the use of a mathematical self-efficacy questionnaire with 30 statements consisting of 10 indicators. The descriptive qualitative research method involved 27 high school students in Kampar. Based on the questionnaire data, it can be concluded that accumulated self-efficacy in mathematics learning is 37.27% in the low category. In percentage terms, it can be described that the indicator of being able to overcome the problems faced is 38.5% in the low category, the indicator of being confident in one's success is 33.17% in the low category, the indicator of having a positive view of the task is 47.74% in the low category , the indicator of being brave enough to face challenges is 42.2% in the low category, the indicator of being brave enough to take risks is 38.55% in the low category, the indicator of being aware of one's strengths and weaknesses is 35.5% in the low category, the indicator of being able to interact with people is 36, 21% in the low category, the indicator of not giving up easily is 40% in the low category, the indicator of having commitment to the tasks given is 28.88% in the low category, the indicator of having great interest in lessons and assignments is 31.96% in the low category.

This research investigates the prevalent challenges and identifies strategic approaches for effective resource utilization in secondary schools. Through a mixed-methods study involving quantitative analysis and qualitative interviews, the research highlights significant problems such as budget constraints, outdated educational materials, and disparities in resource distribution between urban and rural schools. The study reveals that 75% of surveyed schools encounter difficulties in resource allocation, with urban schools having better access to technology and trained personnel compared to their rural counterparts. Qualitative findings underscore the importance of several strategies to optimize resource usage. Needs-based allocation is identified as a critical approach, with schools that tailor resources to specific needs reporting improvements in student engagement and achievement. The integration of technology, combined with comprehensive teacher training on digital tools, is pivotal in enhancing learning experiences. Moreover, collaboration with the community and local businesses emerges as a valuable source of additional resources and real-world learning opportunities. The establishment of resource-sharing networks among schools is also noted as an effective measure to mitigate the impact of budget constraints and promote a more equitable distribution of materials and expertise. This study contributes to the discourse on educational equity and efficiency, offering actionable insights for policymakers, educators, and administrators. By emphasizing the need for localized solutions, technological equity, and community engagement, the research points towards a more equitable and efficient educational landscape. Future research directions include exploring the longitudinal impacts of these strategies on educational outcomes and the role of policy reforms in supporting resource optimization efforts.    

The background to this PTK problem is that students have not been able to master the concept of multiplication material. So there is a need for learning media as a student learning resource that is able to help students' understanding process regarding multiplication of numbers in mathematics with the help of linguistic learning media. This classroom action research aims to improve multiplication counting skills in class 3 of UPT SDN 98 Gresik. The research used was Classroom Action Research (PTK) which was designed in 2 cycles with 4 stages. The four stages of the research action cycle are as follows: 1) planning, 2) implementing, 3) observing, and 4) reflecting. Based on the research results obtained, it is known that the average initial data completeness score for 20 students was 52.75%, before the application of the linguistics learning media. The average score for cycle I was 66, or 8 students with a percentage of 40% who had completed or above the KKM and 12 students with a percentage of 60% who had not completed or below the KKM because they had exceeded the predetermined criteria of 75 and continued in cycle II. In conclusion, linguistic learning media can improve multiplication calculation skills.      

The objectives of this research include 1) To determine the application of the Project Based Learning model in making embroidery decoration designs in the fashion decoration subject to improve the learning outcomes of Class XI students at SMKN 1 Sooko. 2.) To determine the effectiveness of applying the Problem Based Learning model in creating embroidery decoration designs in the fashion decoration subject to improve the learning outcomes of Class XI students at SMKN 1 Sooko. This type of research is quantitative research with a pre-experimental design and a one shot case study model. This research was carried out at SMK Negeri 1 Sooko in class XI Design and the number of students was 22 people. The data collection method used is observation to determine the application of the Project Based Learning model to embroidery decoration designs, questionnaires to determine student learning responses and tests to determine the effectiveness of implementing learning models on student learning outcomes. The results of the research state that the application of the Project Based Learning learning model can be seen from the implementation of the Project Based Learning learning model in the design of embroidery decorations in the fashion decoration subject, obtaining an average score of 3.7 for teacher activities and an average score of 3.4 for student activities. Student learning outcomes on the cognitive test obtained an average score of 81.5 and the average score on the psychomotor test obtained an average score of 87.5. The overall average score of students' learning outcomes was 86.4, which was declared complete the Minimum Learning Standard. As many as 85% of students completed the Minimum Learning Standard and 15% did not completed.

Real analysis is a course that requires formal proof of a formal definition. Almost all students have difficulty learning real analysis. These problems require the provision of learning models that can serve students who learn real analysis. The purpose of this study is to provide an overview or description of the Model to improve the quality of real analysis lectures. The method used in this study is Systematic Literature Review. The results of the study concluded that models to improve the quality of real analysis lectures are very diverse. Learning models such as the use of Flow Proof and Extended Triad Level ++ Learning Models, to the application of learning modules such as Project-Based Learning Modules can be effectively and efficiently used to improve the quality of real analysis lectures.

The Problem-Solving Learning Model is one of the learning models that can develop problem-solving skills and student learning independence where this model is developed based on polya theory known as problem-solving steps, namely: identifying problem information/understanding problems, planning problem-solving strategies, using problem-solving strategies and re-examining solutions or solutions to problems that have been generated. The Use of the Problem-Solving Learning Model to Improve the Problem-Solving Ability of Pancabudi Private Vocational School Students for the 2023/2024 Academic Year. The purpose of this research is to determine the effectiveness of learning using the Problem-Solving learning model. This research is located at SMK Swasta Pancabudi where the class applies the Problem Solving learning model which will be compared with different classes using the classical learning model.

Effective teaching-learning activities are also supported by several aspects such as teaching methods, teaching strategies, learning models , and so on. In this study, we know the extent of the effectiveness of problem-solving learning compared to ordinary learning. Based on the research conducted, the results obtained that concluded the Problem-Solving learning mode proved effective in improving students' mathematical problem-solving abilities. Data analysis for this study used a t-test in this case obtained an average difference from the experimental class group given treatment using Problem-Solving learning and non-problem Solving class groups. The calculation results obtained a t count value (th) of 2.824 for the experimental class and 2.819 for the control class, with the table t value for db 68 sig 5% If consulted in the t table obtained 1.990 then based on the t-test criteria it can be concluded that the t value Count more than t table with GIS greater than SIG alpha by 5%, it can be concluded that count t > t table can be decided to test the hypothesis I that null hypothesis is rejected and alternative hypothethetics are accepted, in this case, there is a significant difference between students' mathematical problem-solving ability between the group of students taught using the Problem-Solving method and the group of students taught without using the Problem-Solving model.

This study aims to determine the effect and impact of the overall research on the Problem-based learning model in science learning. This type of research is a meta-analysis. The data sources in this study are 17 national and international journals published from 2017-2022. The process of searching for data sources through Google Scholar, ScienceDirect, Wiley, ProQuest, and Eric Journal. Inclusion criteria are research on problem-based learning models with experimental or quasi-experimental methods and measurement of learning outcomes to evaluate Problem-Based Learning learning models. The results showed that the average effect size value of all studies (ES = 1.40) was very high. This finding explains that the Problem-Based Learning model provides a very high positive impact on science learning. In addition, the Problem-Based Learning learning model is effective to be applied to students' science learning at school. Effect measurement in this study is influenced by the level of education, year of publication, learning outcomes, and sample size. Overall, the Problem-Based Learning model is very useful in increasing students' potential in facing the 21st century.

The research approach used is Classroom Action Research which is carried out in 2 cycles where each cycle is as many as 4 meetings, as for the learning steps given in the classroom action research approach, namely paying attention to teacher explanations, asking questions during discussions, collaborating with groups, presenting results and concluding material.The results showed that there was an increase in student learning outcomes seen from the test results obtained by students each cycle increased, besides that student activity in the classroom also increased. This can be seen from the number of percentages in the first cycle of the first meeting only got a percentage of 57.6% and 84.61% in the second meeting in the second cycle of the previous one, this is because students do not understand the Problem Based Learning (PBL) learning model. It was concluded that by using the Problem Based Learning (PBL) model. In learning Civics class IV UPT SPF SD Inpres Bontomanai is able to improve student learning outcomes.

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.

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.

National education faces challenges related to quality, efficiency and management. Several important problems in the education system include: (1) student moral behavior, (2) distribution of learning, (3) less efficient internal systems, (4) poor organization, (5) education management that is not in line with national development, and (6) lack of professionalism in resources. One effort to overcome this problem is to improve learning strategies, which are very important for the success of the learning process. One of the aspects studied in this journal is the teaching of the Islamic religion from Abuddin Nata's perspective. The results of the literature search show that an Islamic-based learning approach can shape student behavior. One effective strategy is to use an approach that is appropriate to the learning objectives and emphasizes skills and learning processes such as the Islamic education model which integrates skills, problem solving and memory formation.

This research aims to determine a role-playing strategy model in strengthening religious character through learning short story texts. The research method used is the Design Based Research (DBR) method. The research stage is divided into five parts, namely problem identification, product development formulation, product design and development, product testing, and communicating results. The results of observing teacher activities through role playing strategies show that the score obtained from observer one is 92 in the very good category, while the score obtained by observer two is 90 in the very good category. The results of observing students' activities through role playing strategies showed that the score obtained from observer one was 94 in the very good category, while the score obtained by observer two was 92 in the very good category. Based on the results of data analysis obtained from students' self-assessment questionnaires regarding strengthening religious character through learning short story texts using role-playing strategies. The total score obtained by students was 1163 and the average number obtained from 15 students was 77 with a percentage of 96%. To strengthen the character of religiosity in students, teachers must be more creative in cultivating the value of religious character in students through the learning process.

Indonesian language subjects consist of several subjects that require students to be able to write, one of which is writing expository texts. The student participants had problems in writing material, especially writing expository texts, which was proven by the average score which was still not optimal. The formulation of the problem raised in this research is how the window shopping type cooperative learning model influences the ability to write expository texts of class X students at Budisatrya Medan Private High School. This research aims to determine the effect of the window shopping type cooperative learning model on the ability to write expository texts of class X students at Budisatrya Medan Private High School. This research is a type of quantitative research using experimental methods, a research method used to determine the effect of a treatment on the characteristics of the subjects studied. The data collection techniques used in this research were observation techniques, interview techniques and test techniques, with data sources consisting of 35 students. Based on data analysis, it can be concluded that: The window shopping type cooperative learning model has an influence on the ability to write expository texts in class This can be seen and proven by the average post-test results for the control class being 69.857 with the average post-test results for the experimental class being 85.

Obtaining high-quality, diverse, accurate datasets for sentiment analysis has always been a significant challenge. Traditional approaches include annotators, which may introduce bias to datasets and are also time-consuming and expensive. These types of datasets may also not represent the variety needed to train robust and generalizable sentiment analysis models. This study introduces a novel combination of techniques to approach the problem with a novel solution. The proposed system, SentiGEN includes the use of a transformer, T5, fine-tuned and optimized using an evolutionary algorithm to generate high-quality, diverse, accurate data for sentiment analysis. The generated data is validated using XLNet to ensure high sentiment accuracy. This combination of technologies has proven successful based on the results derived from evaluating multiple models. From complex transformers such as BERT to more straightforward approaches like KNN, those trained using synthetic data demonstrated superior performance compared to their counterparts trained on real data. This enhancement in predictive accuracy was observed when evaluated on benchmark datasets such as SST-2 and Yelp. SentiGEN can generate high-quality, diverse, accurate, realistic data for sentiment analysis and successfully increased the performance of models trained on synthetic data compared to the same model trained on real data.

This research aims to improve and develop students' abilities to learn how to think critically in finding solutions to problems. Based learning strategy is a learning strategy that invites students to learn independently, carry out discussions, find solutions to solve problems and be able to draw conclusions. This research aims to examine more deeply problem-based learning strategies so that students can develop their abilities to overcome complex and diverse problems. The data collection used by researchers is a literature study by studying and citing several sources from textbooks, articles, journals, modules and other publications. The use of this learning strategy is expected to improve students' problem solving abilities.  

This research explains research on Islamic religious learning models for children with special needs (autism) in elementary schools. The aim of this research is to find out what the Islamic religious learning model is for children with special needs (autism). The method used in this research is a qualitative method, namely library research by going through or studying and examining books or journals and written sources related to this problem. The results of this research show that the Islamic religious learning model for ABK uses inclusive or adaptive learning strategies and small group-based learning and individual support to increase participation and understanding of autistic children towards Islamic religious education

Problem-based learning is an educational approach that centers around the exploration of real-world problems, with an emphasis on finding genuine solutions through realistic investigation. The objective of this study is to ascertain the outcomes of students' learning achievement through the implementation of a problem-based learning approach, specifically focusing on the topic of animal classification. This study employs the methodology of classroom action research. The research was conducted at SMP Negeri 8 Kei Besar. The participants of the study consisted of 33 pupils in the seventh grade. The research findings indicated that the rate of classical learning achievement in the first cycle was 27%, with a mean score of 62%, while in the second cycle it increased to 81.9%, with an average score of 76%. The findings of this study demonstrate that the utilization of a problem-based learning approach in teaching animal classification can enhance students' academic achievements.    

The aim of this research is to develop valid and practical learning media for the basics of visual communication design. The process of learning the basics of visual communication design at SMKN 1 Pasaman is not optimal, this is caused by several problems, namely the availability of learning media only in the form of printed books that students borrow from the school library. This causes students to not understand the learning material and be less motivated to study and cause low student grades. Based on the data obtained, the students' KKM completion score was only 53%. This research uses the Research and Development (R&D) research and development method with the ADDIE model which consists of 5 stages, namely Analysis, Design, Development, Implementation and Evaluation at each stage. This research involved 36 class X DKV students who took part in learning the basics of visual communication design. The results of this research are Android-based learning software that can be used as a complement to the learning process, especially in the basics of visual communication design subjects. Data collection techniques are in the form of observations and questionnaires, while data collection instruments are in the form of validity questionnaires and practicality questionnaires. The data analysis technique uses a Likert scale with the Aiken formula. The results of this research show that the validity value of the media is an average of 81.53% in the "Very Valid" category, while the validity of the material is an average of 93.85% in the "Very Practical" category and the teacher's practicality assessment is an average of 81.77% in the "Practical" category. " while students' practicality assessment averaged 83.3% in the "Practical" category.

The aim of this research is to develop valid and practical learning media for the basics of visual communication design. The process of learning the basics of visual communication design at SMKN 1 Pasaman is not optimal, this is caused by several problems, namely the availability of learning media only in the form of printed books that students borrow from the school library. This causes students to not understand the learning material and be less motivated to study and cause low student grades. Based on the data obtained, the students' KKM completion score was only 53%. This research uses the Research and Development (R&D) research and development method with the ADDIE model which consists of 5 stages, namely Analysis, Design, Development, Implementation and Evaluation at each stage. This research involved 36 class X DKV students who took part in learning the basics of visual communication design. The results of this research are Android-based learning software that can be used as a complement to the learning process, especially in the basics of visual communication design subjects. Data collection techniques are in the form of observations and questionnaires, while data collection instruments are in the form of validity questionnaires and practicality questionnaires. The data analysis technique uses a Likert scale with the Aiken formula. The results of this research show that the validity value of the media is an average of 81.53% in the "Very Valid" category, while the validity of the material is an average of 93.85% in the "Very Practical" category and the teacher's practicality assessment is an average of 81.77% in the "Practical" category. " while students' practicality assessment averaged 83.3% in the "Practical" category.