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This study aims to evaluate the effectiveness of the Tahsin Qur'an program at Ma'had Al-Jamiah IAIN Kendari using the Goal Free Evaluation model. This evaluation emphasizes tangible results without being tied to the initial objectives of the program. This study uses a descriptive qualitative approach through observation, interviews, and documentation. The results indicate that the program has had a significant positive impact: participants showed improved reading ability in hijaiyah letters, mastery of basic tajweed, and increased self-confidence and spiritual closeness to the Quran. The high level of participant attendance and consistent enthusiasm for learning indicate active involvement in the learning process. The program has also proven to be able to create a conducive and sustainable learning community, even though it is run voluntarily without financial incentives. Several recommendations for development include the provision of advanced classes, improvement of learning materials, and increasing reach and wider support. This evaluation confirms that the andragogy-based tahsin learning approach is highly relevant for Quranic education for adults and deserves further development.

The increasing sedentary lifestyle in the digital era has the potential to cause various health problems due to lack of physical activity. One approach that can be taken to encourage physical activity is through the use of digital games with body movement-based control mechanisms. This study aims to develop a body gesture-based game character control system using a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model. CNN is used to extract spatial features from each video frame, while LSTM serves to model the temporal relationship between frames so that movement patterns can be recognized sequentially. The research method used refers to the Machine Learning Lifecycle stages, starting from data collection, preprocessing, model development, to implementation in the endless runner game genre. Testing results show that the CNN–LSTM model is capable of classifying body gestures and generating outputs that can be used as commands to control game characters. The implementation of this system enables more natural and interactive game interactions without conventional input devices, and has the potential to encourage players to lead a more active lifestyle.

This study aims to evaluate the implementation of the At-Turats Book Study Program using the Context, Input, Process, and Product (CIPP) evaluation model to provide an overview of the program’s relevance, resource readiness, implementation, and outcomes. The research method used is descriptive qualitative, with data collection techniques through observation and interviews. The results show that in terms of context, the study of classical texts meets the needs of the santri and aligns with the vision of Ma’had Al-Jami’ah, which aims to deepen religious and cultural understanding. In terms of input, the program is supported by qualified instructors and representative classical reference books, although there are still limitations in the number of teachers, the varying abilities of the santri, and supporting facilities. Regarding the process, the study is carried out using the halaqah method with a bandongan approach, which is relatively consistent, although the participation and interaction of the santri are limited. Some santri are still hesitant to engage actively in discussions, which can reduce the effectiveness of learning. In terms of product, the program has a positive impact, including an improvement in religious understanding, the development of more moderate and tolerant religious attitudes, and enhanced ability to comprehend classical texts among some of the santri. Overall, the program has achieved its main objectives but still requires improvement in terms of facilities and interaction during the learning process.

This study aims to develop a pop-up book learning medium with the theme “Einkaufen” (Shopping) as a German language instructional medium for Grade XI students at SMA Negeri 3 Binjai. The background of this study is the low level of students’ understanding of the learning materials and their lack of learning motivation due to the use of monotonous conventional media. This research employs a Research and Development (R&D) approach using the ADDIE development model, which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. The results of the implementation stage indicate that 98.3% of students agreed that the pop-up book is effective for use in German language learning, and 96.7% stated that the material content is easy to understand. The pop-up book consists of six pages containing learning materials and exercises that focus on reading, writing, and speaking skills. Validation by material and media experts yielded a score of 90, categorized as very good. These findings demonstrate that the developed pop-up book medium is not only visually engaging but also capable of enhancing students’ motivation and comprehension in an integrative German language learning process. This medium can serve as an effective alternative for improving the quality of foreign language learning at the secondary school level.

Learning to read the Al-Qur'an at TPA Al-Amin Brahu Ponorogo still relies on conventional methods, which lead to low motivation and boredom among students. This study aims to design and develop interactive learning media based on Augmented Reality (AR) through the AR-Iqro' Jilid 5 application on the Android platform. The development method employed is the System Development Life Cycle (SDLC) using the Waterfall model, which encompasses the stages of planning, design, implementation, testing, and maintenance.The results of the study indicate that the application performs exceptionally well, with material validation reaching 96%, media design at 96%, and user testing at 97%. These findings prove that the AR-Iqro' Jilid 5 application is highly feasible for use due to its ease of navigation and intuitive visual interface. The implication of this research is the availability of an innovative alternative learning medium capable of increasing students' interest in learning the Al-Qur'an, with the potential for broader implementation in technology-based Islamic educational institutions.

Open-pit mining activities in Indonesia contribute significantly to the national economy but require stringent monitoring to mitigate environmental degradation. Conventional monitoring methods relying on terrestrial surveys are often constrained by vast coverage areas, high operational costs, and limited field accessibility. This study aims to develop an artificial intelligence model capable of automatically detecting and mapping mining areas to enhance surveillance efficiency. The applied method is Deep Semantic Segmentation utilizing the U-Net Convolutional Neural Network (CNN) architecture. The model was trained using Sentinel-2 satellite imagery, focusing exclusively on Red, Green, and Blue (RGB) spectral channels to replicate human visual perception. Experimental results demonstrate that the proposed model performs reliable segmentation of mining areas, achieving an Accuracy of 93.58% and a Global Intersection over Union (IoU) of 0.8067. These findings indicate that the U-Net architecture can effectively extract spatial features of mines even when utilizing standard visual data. This research contributes to the development of an efficient, cost-effective, and scalable digital monitoring prototype to support innovation in sustainable environmental governance.

Customer churn is a strategic challenge for digital streaming platforms because it directly Impacts revenue and business sustainability. This study aims to analyze the factors influencing customer Churn and develop a churn prediction model using the Random Forest algorithm. The study uses a Quantitative approach with an explanatory design and utilizes secondary data from the Netflix Customer Churn and Engagement Dataset available on Kaggle. The dataset consists of 1,000 customer data with 16 Variables covering demographic characteristics, service usage behavior, financial condition, and customer Satisfaction level. The data was processed through preprocessing, one-hot encoding, and a 70:30 split Between training and test data. Model performance was evaluated using accuracy, precision, recall, F1 Score, and ROC-AUC metrics. The results show that the Random Forest model produces an accuracy of 53.7%, precision of 56.3%, recall of 63.6%, F1-score of 59.7%, and ROC-AUC of 0.534, indicating Moderate predictive ability and only slightly better than random classification. Feature importanceAn.evealed that user engagement levels, such as viewing duration and frequency of interactions, Were the most dominant factors influencing churn, followed by economic factors and customer satisfaction. The results of this study are expected to provide a basis for streaming platforms to design more effective Customer retention strategies.

The community service program conducted by students during the Field Work Practice (PKL) at TPQ Nurul Huda, Riam Mengelai Village, is implemented as a tangible contribution to student guidance, focusing on enhancing religious competence, discipline, and worship skills. This program was motivated by the need to improve the quality of religious education systematically and according to the skill level of each student, making learning more effective and targeted. The objective of this service is to optimize student guidance by improving Quran reading skills, daily prayer memorization, moral development, and active participation in religious activities according to each class’s ability. The implementation method includes initial observation, planning a guidance program based on skill levels, direct teaching and learning, individual and group mentoring, and periodic evaluation. Students are divided into four classes according to their ability: Class 1 for students at IQRA’ levels 1 and 2, Class 2 for IQRA’ 3 and 4, Class 3 for IQRA’ 5 and 6, and Class 4 for students who can read the Quran fluently. Each class receives materials tailored to their level, ranging from introduction to Arabic letters, Quran reading, daily prayer memorization, to moral development and worship practices. This class-based guidance approach allows PKL students to provide focused attention, ensuring optimal learning outcomes. The results show significant improvements in students’ discipline, learning motivation, Quran reading skills, prayer memorization, and moral understanding. Class-based guidance according to skill levels provides each child with an appropriate learning experience, enabling maximal development. PKL students gain practical experience in early childhood religious education, lesson development, and classroom management. This program is expected to serve as a systematic, effective, and sustainable model for student guidance at TPQ Nurul Huda.

A student's learning success is largely determined by their academic evaluation. Estimating a student's final grade can assist educational institutions in conducting initial assessments of academic achievement. This study aims to analyze the performance of the Multiple Linear Regression (MLR) and Random Forest (RF) algorithms in predicting students' final grades using Google Colab. This research method uses a quantitative approach using secondary data that includes age, mid-term exam scores, final exam scores, and categorical variables as independent variables, with the final grade as the dependent variable. The research process is carried out through data preprocessing steps, dividing training and test data, model training, and performance evaluation using Mean Squared Error (MSE), Mean Absolute Error (MAE), and the coefficient of determination (R2). The results show that the Random Forest algorithm provides more accurate prediction accuracy compared to the Multiple Linear Regression algorithm, especially in identifying nonlinear relationships between variables. Therefore, the Random Forest algorithm is more recommended for predicting students' final grades with complex data characteristics.

This study aims to compare the performance of Multiple Linear Regression (MLR) and Random Forest Regression (RFR) in predicting student performance based on academic scores. Student performance is defined as the average of math scores, Reading Scores, and writing scores. This study uses a quantitative approach with a comparative design based on predictive modeling. The data used is secondary data from the Student Prediction dataset obtained through the Kaggle platform, which was processed using the Python programming language through the Google Colab platform. The analysis stages included the formation of performance variables, the separation of training and test data with a ratio of 80:20, model training, and evaluation using the Mean Squared Error (MSE), Mean Absolute Error (MAE), and coefficient of determination (R²) metrics. The results show that the Multiple Linear Regression model produced an MSE value of 2.74 × 10⁻²⁸, an MAE of 1.51 × 10⁻¹⁴, and an R² of 1.000. Meanwhile, Random Forest Regression produced an MSE of 0.296, an MAE of 0.375, and an R² of 0.998. These findings indicate that both models have a very high level of accuracy, but Multiple Linear Regression provides the best performance. This is due to the strong linear relationship between the input variables and the target variables formed directly from the combination of academic values. Thus, the linear regression model is proven to be more suitable for use in data structures that have simple linear relationships compared to ensemble-based models.

Science education in elementary schools requires the active involvement of students through meaningful learning experiences. One of the essential subjects in fourth grade elementary school is the growth and development of animals and plants. However, science education is still often conducted conventionally, so that students' scientific process skills have not developed optimally. This study aims to analyze and describe the application of the Project-Based Learning (PjBL) model in science learning projects on the growth and development of animals and plants with the support of Seesaw and Flashcard Quizlet digital media through a Systematic Literature Review (SLR) approach. The research method used SLR with a descriptive qualitative approach to relevant scientific articles published between 2019 and 2025. The results of the study show that the application of PjBL can increase student learning activity, scientific process skills, and understanding of science concepts. The use of Seesaw was effective as a medium for project documentation and reflection, while Flashcard Quizlet helped reinforce concepts and formative evaluation. Thus, the integration of PjBL, Seesaw, and Quizlet can be an innovative learning alternative that is relevant to the Merdeka Curriculum and the needs of elementary school students.

The ability to read the Qur’an is a fundamental competence in Islamic education. However, many children still face difficulties in reading the Qur’an accurately and fluently in accordance with tajwid rules. This community service program (Pengabdian kepada Masyarakat/PKM) aimed to improve Qur’anic reading skills of students at Asy-Syakirin Qur’anic Learning Center (TPQ) in Nibung Village, Kapuas Hulu Regency, West Kalimantan. The program employed a Participatory Action Research (PAR) approach, actively involving teachers and students in all stages of the activities. The implementation consisted of planning, action, observation, and reflection stages. During the planning phase, students’ initial reading abilities were identified and grouped into basic (iqra’) and advanced (tahsin) levels, appropriate learning methods were selected, and supporting learning media were prepared. The action phase involved individual and small-group mentoring, guided Qur’an reading with direct correction of pronunciation (makharij al-huruf) and tajwid, application of memorization and dictation (imla’) techniques, and varied teaching approaches through instructor rotation. Evaluation was conducted through pre-tests and post-tests, direct observation of students’ reading performance, and assessment of participation and attendance. The results indicate a significant improvement in students’ Qur’anic reading skills, particularly in fluency, accuracy of pronunciation, and basic understanding of tajwid. This program is expected to serve as a sustainable model for improving Qur’anic literacy in Qur’anic learning institutions.

This study was motivated by the low learning outcomes of students in Social Studies, particularly on natural disaster material in Grade IV of SDI Halibenaus. The purpose of this research was to describe the implementation of the Active Learning model in improving students’ learning outcomes. This study employed a qualitative approach using Classroom Action Research (CAR) conducted in two cycles, each consisting of planning, action, observation, and reflection stages. The research subjects were 17 fourth-grade students consisting of 10 boys and 7 girls. Data collection techniques included observation, tests, and documentation, while data analysis was carried out through data reduction, data display, and conclusion drawing. The results indicated an improvement in students’ learning outcomes in each cycle. The average score in Cycle I was 64.35% with a mastery level of 35.29%, which increased in Cycle II to 83.17% with a mastery level of 82.35%. Based on these findings, it can be concluded that the implementation of the Active Learning model is effective in improving students’ learning outcomes in Social Studies on natural disaster material for fourth-grade students at SDI Halibenaus.

This study examines how Grammarly AI helps students improve their writing and avoid plagiarism in digital learning. As more academic work is done online, students need quick and clear feedback to guide their revisions. This research focuses on students’ perceptions of Grammarly and how they respond to its feedback. A survey was conducted with 30 university students using Likert scale and open-ended questions. The results show that most students find Grammarly helpful for correcting grammar, improving clarity, and motivating them to revise their writing. Students also reported that the paraphrasing and similarity checking features help them maintain originality and understand academic integrity better. These findings are supported by the Technology Acceptance Model (TAM), which explains that students respond positively when a tool is useful and easy to use, and by feedback theory, which highlights how learners process corrective input. Overall, this study concludes that Grammarly functions not only as an error-correction tool but also as a learning support system that strengthens writing skills and promotes responsible writing practices in digital environments.

This study aims to analyze the effect of implementing the Realistic Mathematics Education (RME) learning model on improving students' mathematical literacy, particularly in social arithmetic material at SMP Negeri 2 Wonorejo. The research used a quantitative method with a quasi-experimental design in the form of a non-equivalent control group design. The population consisted of seventh-grade students from three classes, samples selected through purposive sampling based on preliminary test results: class VII B as the control group and class VII C as the experimental group. Research instruments included a validated observation sheet on student activities and an essay-type mathematical literacy test. Data analysis was conducted using normality tests, homogeneity tests, independent t-tests, and effect size calculation. The results indicated that student activities in the RME learning model were categorized as excellent. Hypothesis testing with an independent t-test yielded tcalculated = 2.81 > ttable = 1.56. The average post-test score of the experimental group (73.00) was higher than that of the control group (50.41). The effect size calculation resulted in d = 1.75, which falls into the large effect category. Thus, it can be concluded that the RME learning model has a positive and significant influence on improving students' mathematical literacy.

Evaluation of Islamic Religious Education (PAI) learning plays a strategic role in assessing the achievement of educational goals while supporting the character development of students. The evaluation process not only considers cognitive aspects but also includes affective and psychomotor aspects, such as the appreciation of religious values, noble morals, and the ability to perform religious services. This study aims to describe the relationship between the scope of PAI evaluation and the process of character development of students. The method used is a descriptive qualitative approach, with the research location at SDN Ngebel, Kasihan, Bantul. The research subjects included PAI teachers, students in grades I, V, and VI, and several parents. Data were collected through interviews with teachers, students, and guardians, observations of learning activities and religious practices, and documentation, including records of grades and religious activity agendas. Using the Miles and Huberman interactive model, data analysis included the stages of presentation, reduction, and drawing conclusions. Triangulation methods and sources ensured the validity of the data. The results showed that the implementation of a comprehensive PAI evaluation, which included academic assessment, religious practices, and moral behavior, had a significant impact on the development of student character. This is especially true in terms of religiosity, discipline, and responsibility. Therefore, the broader and more integrated the scope of Islamic Religious Education (PAI) evaluation, the greater its contribution to the overall character formation of students.

The purpose of this study is to develop a mathematics e-module based on the tourism potential of Pasuruan City material of flat-sided solid shapes. This research is motivated by the use of teaching materials by teachers is still manual, not in digital form that integrates local tourism potential. The type of research is R&D (Research and Development) with the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The results of the study show that the mathematics e-module based on the tourism potential of Pasuruan City material of flat-sided solid shapes has gone through a model development process. The validation results show that the percentage of experts with an average of 93.6% is in the very valid category. The application of the mathematics e-module received a positive response with a percentage of 88.5% on a small scale and on a large scale showing 89.2% in the very practical category. The posttest showed a percentage on a small scale of 83%, while on a large scale it reached 80% which is categorized as effective. Conclusion, the development of a mathematics e-module based on the tourism potential of Pasuruan City material of flat-sided solid shapes is declared valid, practical and effective.

This study aims to develop Student Worksheets (LKPD) incorporating the traditional serok kuali game on multiplication material for third-grade students at SDN Deket Wetan Lamongan and to determine their validity, effectiveness, and practicality. The research method employed was Research and Development (R&D) using the ADDIE model, which consists of the analysis, design, development, implementation, and evaluation stages. The research subjects included two expert validators, namely a media expert and a subject-matter expert, as well as 15 third-grade students at SDN Deket Wetan Lamongan. Data were collected using expert validation questionnaires, conceptual understanding tests (pretest and posttest), and student response questionnaires. The results showed that the developed LKPD demonstrated a very high level of validity, with a score of 97.5% from the media expert and 95.55% from the subject-matter expert. The effectiveness test indicated an improvement in students’ learning outcomes, with an N-Gain score of 0.803 (80.3%), which falls into the effective category. In addition, students’ responses to the use of the LKPD reached a percentage of 95.6%, categorized as very good. Based on these findings, it can be concluded that the LKPD incorporating the traditional serok kuali game is feasible, effective, and practical for use as instructional material to enhance third-grade elementary school students’ understanding of multiplication concepts.

The interactive learning video innovation "Human Blood Circulation" through Edpuzzle, with embedded questions, is designed to address the difficulties faced by fifth-grade elementary school students in understanding abstract biological concepts. Science education in elementary schools often encounters challenges in explaining invisible processes, such as the heart's working mechanism and blood circulation, leading students to struggle with comprehension or merely memorize the material. Conventional learning videos tend to make students passive, necessitating media that can transform the learning process into an active one. Edpuzzle, as an educational platform, allows teachers to insert questions at critical points in the video, requiring students to answer before continuing to watch. This innovation aligns with the cognitive development stage of fifth-grade students, who are in the concrete operational stage.The research objectives include product development, validity and feasibility testing, analysis of conceptual understanding improvement, influence on focus and learning independence, and student responses. Media development refers to Mayer's cognitive theory of multimedia and the characteristics of interactive videos according to Heinich et al. Additionally, media development models such as ADDIE and Dick and Carey are discussed. The main benefits of using Edpuzzle include increasing engagement, facilitating real-time formative assessment, and enhancing learning motivation. However, challenges exist such as technology access, teacher readiness, the risk of technology dependency, and long-term evaluation. The practical implications can support digital learning and the transformation of elementary science education.

International student enrollment is a critical driver of financial sustainability for Higher Education Institutions (HEIs). While advanced forecasting is standard in the corporate sector, its application in educational planning remains limited. This study addresses this gap by comparing the predictive performance of ARIMA, Facebook Prophet, and Long Short-Term Memory (LSTM) models. Using a publicly available annual dataset from a US-based institution (2000–2022), the analysis employed a strategic partition training on 2000–2017 and testing on 2018–2019 to validate models on stable, pre-pandemic data. Empirical results revealed that the statistical ARIMA (2,1,0) model demonstrated superior accuracy, achieving a Mean Absolute Percentage Error (MAPE) of 1.26%. Conversely, Prophet (11.81%) and LSTM (13.84%) struggled with the limited sample size, failing to generalize effectively compared to the linear approach. The findings suggest that for annual enrollment trends, parsimonious statistical models outperform complex deep learning architectures, providing administrators with a robust, accessible framework for data-driven strategic decision-making.