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Listening skills are very influential on learning success. Successful learning can run well if students are able to capture messages or information related to the teaching material presented by educators or from reading material. Listening as a learning process is carried out in an integrated manner and receives the same attention as other language skills. However, in reality, most of the listening lessons delivered by educators in elementary schools in particular are still often ignored. In the learning process, educators use learning media, namely less innovative learning media in the form of pictures contained in theme books. Educators still use theme books and worksheets as learning resources and media without any other learning media that can attract students' attention. However, the use of this learning media does not attract students' attention and interest in learning because learning seems boring for students. As a result, many students lack concentration in learning and students are less active in the learning process. Therefore, the author uses the Discovery learning method, which is expected to foster concentration and attract students' attention so that students' listening skills can improve as expected.

Education is one of the efforts made to improve the quality of Indonesian human resources. Education can be obtained through formal, informal and non-formal educational institutions. This research was motivated by various cases that occurred related to the limited education received by children with special needs, and quite a few of these children even experienced discriminatory treatment. This research aims to reveal the characteristics of children with special needs who experience physical disabilities and educational service models that can be developed so that children with special needs obtain their educational rights. The research method is descriptive qualitative with data collection techniques in the form of literature studies from various references relevant to the symptoms observed. The collected data was analyzed descriptively qualitatively so that variations in the characteristics and models of educational services for children with special needs could be seen. The results of the research show that basically there are two categories of children with special needs, namely children with special needs who are temporary (temporary), namely learning obstacles caused by external factors such as trauma experienced in previous events and children with special needs who are permanent (permanent), namely learning obstacles that caused by internal factors such as a direct result of the disability experienced. The forms of services that can be taken for children with special needs are the form of segregated education services and the form of unified or integrated education services. 

Training is one of the functions that can be used to improve human resources. Training can be done in various educational institutions. In the world of education there are classes that are accepted not only students who have normal physical characteristics, but there are also learning schools that accept students who can be called Special Needs Children. Children with special needs can be said to be children who have limitations or differences compared to other normal children. These limitations can be shown through physical, ability, and emotional aspects. This research aims to analyze and suitable education patterns for children who experience special needs. The method used in this research is qualitative research using library research method by collecting data from recent articles. The results of this study show that children with special needs do not mean that they are not entitled to education like other normal children. Education for children with hearing and speech impairments can be done by implementing a learning environment that is tailored to their needs, for example: visual videos, picture cards, photos, and others.

Children deserve decent education.  In order to fit the best quality of education, every child has the opportunity to experience the proper method of learning considering his/her passions, talents, as well as actual conditions. This necessity is also a basic need for children with dyslexia. There are commonly three recommended education methods for children with special needs, i.e. sending the kids to special needs schools, choosing preferable inclusive schools and performing   homeschools. Because dyslexia is a kind of learning disorder, parents of children with dyslexia often prefer homeschooling as a choice.  This study aimed to describe   how   homeschooling   could be   an   alternative for   educating children with dyslexia.  The researchers applied a literature approach using content analysis. The result showed that homeschooling could be an alternative of educational method for children with dyslexia.

This article is a report study on the development of a learning school management model of Lhokseumawe Sukma National School and the promotion of educational standards with the aim of sustainable educational development. The research focuses on the school profile of Sukma Nation students and the achievements and challenges of the program in its implementation. The study is qualitative and uses survey methods. Information gathered through documents and interviews with relevant authorities, including focus group observations. The study also presents various manifestations of Sukma Bangsa school innovations. The results specifically show that institutional leadership is related to the implementation of five main categories of learning schools, which are personal leadership, shared vision, mental models, situated thinking and group learning. The order of applications according to the system can be seen in the changes in the behavior of the individual regarding information management, information sharing, interpretation and information search. In addition, the student and school management model has become an important part of achieving school effectiveness.

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.

The objectives of this research are 1) to determine the positive and significant influence of creative learning on student learning outcomes;  2) to determine the positive and significant influence of motivation on student learning outcomes, 3) to determine the positive and significant influence of Creative Learning and Motivation on the PAK Learning Outcomes of Class VII Students at SMPN 3 Sipoholon in 2023/2024.  The method used in this research is an inferential quantitative method with an expo-facto correlational model.  The population was all class VII students of SMP N 3 Sipoholon with a total of 79 people and a sample of 66 people was determined using the finite population formula.  Data was collected using a closed questionnaire with 60 items.  The results of data analysis show that: 1) the calculated F value > F table between Creative Learning and students' PAK learning outcomes is 31.298 > 3.15, thus it is known that there is an influence between Creative Learning and students' PAK learning outcomes, namely 32.8%, 2  ) calculated F value > F table between Providing motivation on students' PAK learning outcomes, namely 30.698 > 3.15, thus it is known that there is an influence between Providing motivation on students' PAK learning outcomes, namely 32.4%, 3) calculated F value > F  The table between Creative Learning and Providing Motivation on the PAK learning outcomes of students is 21.736 >> 3.15, so it is known that there is an influence between Creative Learning and Providing Motivation on the PAK learning outcomes of Class VII SMP N 3 Sipcholon in 2023 2024, namely 40.8  % thus Ha is accepted and Ho is rejected.

This research aims to find out whether the application of the Mind map learning model to the main topic of structure and function of tissues in plants can improve student learning outcomes. This research is a PTK carried out in two cycles, each consisting of two meetings. This is intended to obtain maximum research results.From the implementation of this PTK, findings were obtained that there was an increase in learning outcomes and student activities. This can be seen from the results of observations in cycle I and cycle II. In the first cycle, students' test scores averaged 65.79 with student activity increasing from 27% to 43%, while student learning completion was only 65.79%. In cycle II, students' test results increased to an average of 72.10, their activities also increased from 49% to 69%, while students' learning completion reached 74.38%.From the overall data and findings, it can be concluded that the application of the Jigsaw learning model to Mind map learning material on the main topic of structure and function of tissues in plants can improve the learning outcomes of class VIII.A students at SMP Negeri 4 Jakarta.

The aim of this research is to determine the positive and significant influence of the Make a Match Type Learning Model on Learning Motivation for Christian Religious Education and Character of Class VIII Students of SMP N1 Pollung for the 2023/2024 Academic Year. This research was conducted using a quantitative approach. The population is all students in class VIII of SMP N Pollung for the 2023/2024 academic year, totaling 121 people and a sample of 92 people was determined according to the Krejcie and Morgan table. Data was collected using a positive closed questionnaire with 36 items. The results of data analysis show that there is a positive and significant influence of the Make a Match Type Learning Model on Learning Motivation for Christian Religious Education and Character of Class VIII Students of SMP N1 Pollung for the 2023/2024 Academic Year: 1) Correlation Test obtained a value of rxy = 0.546 > rtable( =0.05,n=92) = 0.207, thus it is known that there is a positive relationship between variable Another(r2) =29,8 % is influenced by other factors that can increase student learning motivation. b) Test the regression equation, obtained the regression equation Y=36.99+0.52X. b) 3) Test the hypothesis using the t test to obtain tcount > ttable, namely 6.187 > 1.980. Thus, Ha is accepted and H0 is rejected.

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.

Learning strategies are approaches or methods used to teach and help students understand subject matter more effectively. Learning is the main key in Education, of course the use of the right strategy will have a positive impact on the development of learning and understanding of students.success in Education is certainly the main concern of all of us, In this study will discuss the differentiation learning strategy where this differentiation learning strategy is a learning model where educators provide an approach that allows overcoming learning difficulties faced by students.

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.

Learning models have a role in facilitating the process of transferring knowledge carried out by teachers to students. This study applies the direct instruction learning model with the aim of improving dribble skills in basketball learning. This research uses a quantitative approach with a pseudo-experimental method. The sampling technique used was cluster random sampling involving 115 students at junior high school level 1. The results showed that the direct instruction learning model was effectively applied to basketball dribble learning. The increase in the experimental group occurred by 48.90% for the skill variable, and 25.30% for the assessment variable. These results indicate that the direct instruction learning model is better than the conventional learning model. On the other hand, the direct instruction learning model has the possibility of ineffectiveness if applied to other learning and other levels of education.

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.

In carrying out teaching and learning activities, of course learning media is needed that can support student learning. E-module is a learning media that contains images, videos and quizzes that can provide feedback in learning for students. This research focuses on developmente-mode basedandroid on the use of hand tools. Developmente-mode based android uses the ADDIE development model which has several stages, namelyanalysis, design, development, implementation, andevaluation. This research uses a research designone group pretest-posttest. The subjects of this research were class X TAV SMKN 3 Surabaya with 32 students. Validation is carried out to measure feasibilitye-mode. Student responses are needed to measure practicalitye-mode during learning. Student learning outcomes in the knowledge domain and skills domain are analyzed using the T test to measure effectivenesse-mode in learning. The research results show that (1) the validity of the developmente-mode obtained a result of 83.89% with very valid criteria, which means it is very suitable for use in learning. (2) practicalitye-mode which was developed obtained student response results of 89.47% with very practical criteria, which meanse-modebased android very practical for use in learning to use hand tools. (3) effectivenesse-mode obtained from learning results in the knowledge domain and the attitude domain. In the knowledge domain, the average value is obtainedpre-test of 48.9, while the average valuepost-test amounted to 87.91, and the T test significance value was 0.000<0.05. In the skills domain, an average skill value of 91.92 was obtained, greater than the KKM value of 75, and a T test significance value of 0.000<0.05 was obtained. It can be concluded that there is a significant increase in student learning outcomes in the realm of knowledge and skills.

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 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.

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 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.

The rapid advancement of deep learning technologies has significantly transformed healthcare analytics, particularly in medical data prediction and classification. This study proposes a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) framework for multi-modal healthcare data analysis, integrating medical imaging, structured electronic health records (EHRs), and IoT-generated time-series physiological signals. The proposed architecture combines spatial feature extraction through CNN with temporal dependency modeling via LSTM to enhance predictive accuracy and clinical decision support. A quantitative experimental design was employed, utilizing multi-source healthcare datasets that underwent preprocessing, normalization, and feature engineering prior to model training. The performance of the hybrid model was evaluated using Accuracy, Precision, Recall, F1-Score, AUC-ROC, and Mean Absolute Error (MAE), and compared with conventional machine learning models and standalone deep learning architectures. Experimental results demonstrate that the proposed CNN–LSTM model achieves superior performance, with improved classification accuracy and reduced prediction error, while maintaining strong generalization capability. The findings indicate that integrating spatial and temporal feature learning significantly enhances disease detection, risk stratification, and personalized treatment planning. This approach supports the development of intelligent clinical decision support systems and scalable smart healthcare environments. The proposed framework offers a reliable and efficient solution for advanced healthcare analytics in IoT-enabled systems.