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The author conducted this research based on the low literacy and numeracy abilities of students. This research activity was attended by grade 6 students, where this activity aims to be able to improve literacy and numeracy skills for students. In this study, the author used a qualitative research method by observing the actions of a person directly and then describing them in detail so that readers could understand them. This research activity has three stages, namely the first stage is planning an activity to be carried out, the second stage is the implementation process to observe grade 6 students, and the third stage is the evaluation and conclusion stage. Based on the research results, it was found that students will tend to have literacy skills if they continue to practice literacy and learn numeracy. In addition, if the learning process is carried out by learning while playing so that these students can develop a strong sense of enthusiasm in learning literacy and numeracy.

Recognizing outstanding students is an essential strategy to encourage learners to improve their academic performance and overall learning quality. However, the process of selecting the best students at SMK Negeri 1 Raman Utara still encounters significant challenges due to the complexity of the evaluation criteria, which include academic achievement, attendance, participation in extracurricular activities, and student behavior. The current manual selection method is considered less effective because it is time-consuming and susceptible to subjectivity in decision-making. This study aims to address these issues by developing a technology-based Decision Support System utilizing the Simple Additive Weighting (SAW) method. SAW was chosen for its efficiency in solving multi-criteria problems through matrix normalization and preference weighting for each alternative. The development process includes requirement analysis, system design, and the implementation of an automated ranking mechanism for student candidates. Based on the testing results, the implemented system can process assessment data rapidly and produce accurate and objective rankings of high-achieving students. The system offers a practical solution for the school by enhancing transparency and validity in the selection process, minimizing human calculation errors, and supporting more equitable and data-driven decision-making.

Teaching the Al-Qur’an is the core of Islamic education, with the main aim of guiding children in reading, studying and understanding the Koran from an early age. The Al-Qur'an Education Park (TPQ) serves as an important platform to instill a love of the Al-Qur'an in children. Even though many TPQs have been successful with good administration and management and a large number of students, there are still TPQs that have not developed, such as the TPQ in Glidah Kedamean Village, Gresik. Observations show that learning management at TPQ does not meet recognized management and curriculum standards in education, resulting in suboptimal educational attainment. Responding to this problem, the Glidah Village TPQ Teacher Management Optimization team, together with KSPPS BMT Khoiru Ummah, initiated an intensive community service-based mentoring program using the Participatory Action Research (PAR) method. The mentoring process involves several stages, starting from identifying problems through field observations, organizing and planning programs, to implementing program actions. The results of discussions and implementation of mentoring revealed a number of problems faced by teachers regarding TPQ management. The implementation of this mentoring activity has been empirically proven to have a positive impact, increasing the effectiveness of management and the quality of education at the TPQ.

This study aims to describe the learning interest and cognitive learning outcomes of students with the Learning Cycle 7E learning model on environmental pollution material. This research uses a quantitative approach with the type of Pre-Experimental Design and One Group Pretest-Posttest design. The research sample was all students of class X SMA Negeri 1 Antang Kalang. The research instruments included learning interest questionnaire, cognitive learning outcomes test, and learning applicability observation sheet. Questionnaires and tests were given before and after the implementation of the Learning Cycle 7E model, while observations were made during the learning process. Data analysis shows that interest in learning based on the calculation of N-gain testing using excel shows there is an increase but still low. While the cognitive learning outcomes between pretest and postest experienced changes but classically said to be incomplete. This model also shows a high level of applicability, indicating its suitability for the context of biology learning at the high school level.

This study aims to evaluate the effectiveness of the discovery learning model assisted by animated videos in improving student learning outcomes on the material of the digestive system in humans in class VIII A SMP Negeri 1 Bolaang. This model was chosen because it can encourage students to participate more actively in learning, while also using technology to help understand more complex material. This study uses the Classroom Action Research approach which is carried out in two cycles. Each cycle consists of stages of planning, implementation, observation, and reflection to evaluate and improve the learning process. The results of the study showed that the application of the discovery learning model assisted by animated videos succeeded in improving student learning outcomes. In the first cycle, only 23.33% of students achieved complete learning, but in the second cycle, the percentage of students who completed increased to 86.66%. This increase occurs because students are starting to be more active in group discussions and more confident in expressing opinions. The use of animated videos also helps students understand the material in a more visual and fun way. This research makes an important contribution to the development of technology-based learning methods, especially in biology learning. These findings suggest that animated videos in learning can improve student engagement and their learning outcomes. This study suggests that further research be conducted to explore the application of this model to other subjects or at higher levels of education, in order to identify its broader benefits in educational contexts.

Learning with Stimulus Environment Problem Solving (SEPS) is an involved learning process student in a way active good in network nor outside network in reading, writing, doing experiment, and analyze, as well look for solution to the problem social related science environment public.  This study aims to know the effectiveness of the Stimulus Environment Problem Solving (SEPS) learning model so that can increase ability think level high among students biology education Universitas Muhammadiyah Surakarta. Method in study this is correlate ability think critical and solving problem 2 groups student a total of 40 students where is one group totaling 20 students use learning model of Stimulus Environment Problem Solving (SEPS) and other groups with Project based Learning. Analysis hypothesis using the t test and effect size. Based on application of the Stimulus Environment Problem Solving (SEPS) model in the classroom experiment experience increase in t test results significant in cycle I and cycle II. Based on the effect size test, the effectiveness of the Stimulus Environment Problem Solving (SEPS) model is included in category tall with value 3.244 so effectiveness of the Stimulus Environment Problem Solving (SEPS) model on Skills think level tall own category tall.

One thing that will always be present in a communication process is speech acts. As something that is always present in the communication process, speech acts will always involve speakers, listeners, and what will be discussed. Speech acts are linguistic studies that aim to convey the intent and purpose of the speaker to the speech partner. This study will examine the speech acts contained in Indonesian language learning videos. The speech acts to be analyzed are focused on locutionary speech acts. The data source used is Indonesian learning videos on the BimBel Smart YouTube channel. The data used is in the form of utterances in the video which are included in the type of locutionary speech act. The type of research used in this research is qualitative research with pragmatic methods with data collection techniques in the form of listening and note-taking techniques. The data found were 31 locutionary speech acts in 5 different Indonesian language learning videos contained on the BimBel Smart YouTube channel. By conducting this analysis, it is hoped that readers can obtain information about locutionary speech acts in Indonesian language learning videos, especially those contained on the BimBel Smart YouTube channel.

This service was carried out because of the Teaching Campus 6 activities. This activity is one of the MBKM (Free Learning Campus Independent) programs. This program aims to increase students' interest in learning and increase student literacy and numeracy. If you pay attention nowadays, students' literacy and numeracy are really decreasing, they can even be said to be less effective. This problem can affect the effectiveness of the learning process, one of which is at SDN Tamansari 01. The method used is to familiarize students with literacy and numeracy during learning. The final result of this activity is getting used to literacy and implementing AKM in order to see abilities and measure student learning outcomes.

This study explores the integration of hybrid AI control models, combining reinforcement learning (RL) and robust adaptive control, to improve the adaptability, performance, and stability of autonomous manufacturing systems. Traditional control systems, while effective under stable conditions, often struggle to cope with disturbances and varying production demands. Hybrid AI models, which integrate classical control methods such as Proportional Integral Derivative (PID) with machine learning techniques like RL, deep Q-networks (DQN), and deep deterministic policy gradient (DDPG), enhance decision-making capabilities in dynamic production environments. The study develops a hybrid RL robust control framework and tests it in both simulation and real-world scenarios. Performance metrics, including production efficiency, system stability, and adaptability, are assessed under various disturbance conditions, such as machine failures and fluctuating demands. The hybrid model significantly outperforms traditional PID control in terms of efficiency and stability, demonstrating faster convergence and better adaptability in dynamic environments. Statistical analysis confirms the superiority of the hybrid system over standalone RL models and traditional PID control. This model’s scalability and adaptability make it a promising solution for Industry 4.0 applications, addressing key challenges in real-world manufacturing systems by ensuring computational efficiency and the ability to manage large-scale data. The findings contribute to the development of more robust and efficient control strategies for autonomous manufacturing systems in uncertain environments.

The change in the Merdeka Curriculum has made learning tools in various subjects including biology in class X inadequate. This study aims to determine the feasibility of Problem-Based Learning (PBL) based LKPD (student worksheet) accompanied by Science Process Skills (KPS) on the material of environmental changes in class X. The development model refers to the research and development (R&D) method with 5 stages. The stages are potential and problems, data collection, product design, design validation, and design revision. The research instruments used were instrument validation questionnaires and validation sheet questionnaires. The validated aspects are the format, content, language, and benefits/usability of LKPD. Validation was carried out by 5 validators. Analysis of validation results using face validity Aiken's V with criteria V = 0.87. The results showed that the LKPD met the valid criteria with a total average of 0.947. It can be concluded that problem-based learning-based LKPD accompanied by science process skills is declared valid and ready to proceed to the trial stage.

This research aims to determine the application of problem-based learning to improve problem-solving skills in environmental change material. The type of research used is classroom action, which consists of 2 cycles. Each cycle consists of planning, action, observation, and reflection. The subjects in this research were 30 students in class X MIPA 1 SMA Negeri 3 Bengkayang. The research instrument used was a problem-solving skills observation sheet. The results showed that problem-solving skills increased from quite skilled to skilled. The percentage of each indicator of problem-solving skills has increased. Increase indicators identifying information gaps and the need for action by 18.97%, processing information to understand problems and making decisions by 19.83%, reaching solutions by 23.27%, and communicating decisions by 18.98%. Thus, problem-based learning can improve problem-solving skills.

Accurate image segmentation is a pivotal process in medical imaging, essential for supporting diagnosis, treatment planning, and monitoring disease progression. This study evaluates the effectiveness of machine learning algorithms, including U-Net, Fully Convolutional Networks (FCNs), and Mask R-CNN, in achieving high-precision segmentation of medical images. Experimental results demonstrate that these models significantly enhance segmentation accuracy, enabling more precise diagnostic outcomes in clinical settings and advancing the development of automated medical imaging technologies.

Background: Public opinion analysis has become increasingly important in the digital era, where social media platforms generate large-scale textual data reflecting public perceptions toward environmental policies. Advances in Natural language processing (NLP) and machine learning enable systematic sentiment classification to support data-driven decision-making. Objective: This study aims to evaluate the effectiveness of several sentiment classification models in analyzing Indonesian-language social media data related to environmental policies. Method: The research employed a text mining pipeline including data crawling, preprocessing (case folding, tokenization, stopword removal, and stemming), and vectorization using TF-IDF. Three classification models Logistic Regression, Support Vector Machine (SVM), and Long Short-Term Memory (LSTM) were trained and evaluated using accuracy and F1-score metrics. Results: Experimental findings indicate that LSTM achieved the highest performance with 91.7% accuracy and 91.2% F1-score, outperforming SVM (88.5%) and Logistic Regression (84.2%). Sentiment distribution analysis shows that public opinion is dominated by positive sentiment (47.5%), followed by neutral (32.0%) and negative (20.5%). Overall: The results demonstrate that deep learning-based models provide more robust contextual understanding and more reliable sentiment mapping for environmental policy analysis.

Power systems are critical infrastructure that face significant challenges due to increasing demand and inherent complexity. Predicting failures in power systems is crucial for enhancing grid reliability, minimizing downtime, and optimizing maintenance processes. This study evaluates various deep learning models, specifically convolutional neural networks (CNN), recurrent neural networks (RNN), and transformer models, for predicting power system failures. By analyzing these models’ performance metrics on historical power grid data, the study provides insights into the strengths and weaknesses of each approach. The findings contribute to the development of more robust predictive models for power system reliability.

In learning activities, motivation is an encouragement or process to direct students in achieving learning goals. The research was motivated by the very diverse problem of students' learning motivation in mathematics subjects in class XI TFLM-3 SMK Negeri 5 Surabaya. This can be seen from the results of the researcher's observations, where when they are about to start learning activities, many students still think that mathematics is less interesting and boring so that students are always less ready to start learning mathematics and the learning that was usually carried out by previous mathematics teachers was just learning. just lectures and assignments. This research aims to determine the increase in students' learning motivation in mathematics subjects through differentiated learning based on content. This research uses a type of Classroom Action Research (PTK) which consists of two cycles using data collection techniques in the form of questionnaires and observation. This questionnaire is used to determine learning satisfaction that motivates students after carrying out learning strategy treatment. The results of research using differentiated learning based on content show an increase in students' learning motivation from pre-cycle activities 63,8% to 73,1% in cycle I, then continued with cycle II. It shows that the presentation average of students' learning motivation in mathematics subjects is 83,2% From the results of this research it can be concluded that using differentiated learning based on content is successful in increasing students' learning motivation in mathematics subjects in class XI TFLM-3 SMK Negeri 5 Surabaya.    

This research was motivated by the large number of students who scored below the KKM in the History of Islamic Culture subject at MTsS Thawalib Gunung Padang Panjang class VIII. To help solve this problem, researchers are interested in trying out a Reciprocal Learning learning model to improve student learning outcomes. This learning model will enable students to help students so that they are able to jointly use rational thinking skills and emotional awareness, to understand feelings, values, attitudes and behavior patterns. This research was conducted from November 8, 2023 to December 18, 2023. This research was an experimental study with a Randomized Control Group Posttest Only Design. The population in this study was class VIII MTsS Thawalib Gunung Padang Panjang. The sample was selected purposively from a certain population. Researchers chose class VIII C as the experimental class, and class VIII A as the control class. The instrument used is a test. To test the research hypothesis, the researcher used the t-test and processed the data using SPSS. Based on data analysis, the tcount results are greater than ttable. tcount is 3.180 and ttable is 1.679 with the average value of the experimental class being 84.38 and the control class being 72.57. So it can be concluded that the Reciprocal Learning learning model is effective on student learning outcomes in the Islamic Cultural History subject.    

In this research, researchers developed innovations in the use of technology-based learning media in mathematics learning. Based on searching for problems in the field, researchers found the monotony of the learning process and the lack of interest in mathematics learning, especially in class V fraction material. From the above problems, it is necessary to have learning media that can be interesting and fun for students. This research aims to determine the suitability and readability of students in the Smart App Creator mathematics learning media for class V elementary school fractions. The type of research used is Research and Development (RnD), which researchers have modified into 7 stages, namely: searching for potential and problems, data collection, product design, design validation, design revision, product testing, and product revision. In the research instrument, the researcher used a questionnaire, with test respondents on 2 class V teachers and 11 class V students. Data analysis techniques in this research used qualitative and quantitative. The results of the research developed by Android-based media applications in mathematics learning material for fractions in class V elementary school using Smart App Creator are in terms of material experts the percentage is 85.83% with a decent level of validity, in terms of media experts the percentage is 88.67% with a decent level of validity, in terms of linguist percentage 78.67% with a decent level of validity. In the media readability questionnaire, students got a percentage of 92.5% with a very decent level of validity.

It is natural that science and technology are currently developing, therefore it is required to be able to determine appropriate learning methods and media to facilitate the teaching and learning process. Until now, the selection and fulfillment of technology-based learning media is still very rarely carried out and implemented. To develop learning media for PBPMD student activities in Patemon village, namely holding community service where the main program is training in making e-books or digital books using multimedia applications as learning media in elementary schools in Patemon village. To maximize the use of Information and Technology (IT)-based media in learning and the supporting facilities available, training and assistance in creating IT-based media is carried out so that education in villages, especially Petemon village, also competes in IT developments.

The Qur'an is kalamulloh which is used as a guide to human life both physically and mentally. Allah SWT always makes it easy for his servants who want to be serious about studying the Koran, including memorizing it. However, in practice, a memorizer of the Qur'an is obliged to maintain his memorization, understand what he learns, and is responsible for implementing it in his daily life. Therefore, a method is needed in the process of memorizing the Al-Qur'an and its maintenance. This thesis aims to find out how the famibisyauqin method is implemented in the process of memorizing the Al-Qur'an at the El-bayan Majenang Cilacap Islamic Boarding School, and also aims to find out the supporting and inhibiting factors in implementing the famibisyauqin method. This research method is to use a descriptive qualitative approach. The data sources were taken through subjects, Ustadz/ustadzah and hufadz students. Data collection techniques used were observation, interviews and documentation. Data is analyzed by reducing relevant data, explaining the data and drawing conclusions. From the research results it can be concluded that: 1) The implementation of the famibisyauqin method in the process of memorizing the al-Qur’an at the El-Bayan Islamic Boarding School is carried out classically and individually. Classical learning is applied when memorization is given to the ustadz/ustadzah, while individual learning is the muroja'ah activity of memorizing the reading of the Al-Qur'an within seven days which is carried out by each student. 2) the famibisyauqin method applied at the El-Bayan Islamic Boarding School is an effort to improve the quality of students' memorization and train students to maintain the continuity of the Al-Qur'an as a sense of responsibility in memorizing the Al-Qur'an, the implementation of which has been targeted at every week of the system

The author's background in taking this problem is because reading ability is one of the most important parts of the learning process in continuing students' academic levels in the future. This research shows the following results (1) Students in grades 4, 5, and 6 have different reading learning abilities in each class. (2) The teaching and learning process for students in grades 4, 5, and 6 who have difficulty learning to read differs depending on the teaching method and the actions taken by the teacher in the classroom. (3) Supporting and inhibiting factors for students at teaching campus 6 in overcoming difficulties in learning to read for students in grades 4, 5 and 6 at SDN Sumbersalak 02. The problems that students have are also different and the same among other students. (4) Efforts for students to teach. 6 to overcome students' difficulties in learning to read.