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This study aims to determine the effectiveness of the implementation of cooperative learning methods on learning outcomes and students' understanding of Islamic Religious Education (IRE) subjects for Class VIII at MT Hubbul Wathon Sangatta Selatan. This study uses a quantitative method with a quasi-experimental research type using a non-equivalent control group design. The study population was 48 students of class VIII A and VIII B, with a sample size of 44 students, each class consisting of 22 students from the experimental class and the control class. Data collection techniques were carried out through tests (pre- and post-tests), observation, and recording. Data analysis used descriptive statistics, normality tests, homogeneity tests, N-Gain tests, and hypothesis tests (t-tests). The results showed that the average learning outcomes of students in the experimental class increased from 61.14% in the previous class to 84.09% in the next class, while in the control class increased from 63.41% to 77.73%. The results of the normality test showed that the data were normally distributed and the homogeneity test showed that the variances of the two groups were identical. The t-test results showed a significance value of 0.000 < 0.05, so it can be concluded that there is a significant difference between the experimental class and the control class. Thus, the cooperative learning method has a positive and effective effect in improving student learning outcomes and understanding in the Islamic Religious Education subject for Class VIII MT Hubbul Wathon Sangatta Selatan.

Physics learning requires students’ multirepresentational ability to understand concepts through verbal, mathematical, pictorial, or graphical forms. However, instruction at SMAN 1 Natal is still dominated by conventional methods, resulting in less active student participation and low multirepresentational skills. This study aims to determine the improvement of students’ multirepresentational ability after the implementation of the Problem Posing learning model on the topic of sound waves. The research employed a quantitative approach with a quasi-experimental design. The sample consisted of class XI MIPA 1 as the control class and class XI MIPA 2 as the experimental class. The research instrument was a multirepresentation test administered through pre-test and post-test. Data were analyzed using the Shapiro–Wilk test, the Mann–Whitney test, and the N-Gain test. The results of the normality test indicated that the data were not normally distributed; therefore, hypothesis testing was continued using the Mann–Whitney test, which yielded a significance value of 0.00 < 0.05. This result indicates a difference in the improvement of multirepresentational ability between the experimental and control classes. The N-Gain result for the experimental class was 49.40%, categorized as moderate. Thus, the implementation of the Problem Posing learning model in the experimental class resulted in an improvement that was lower than that of the control class

Tawhid education is a fundamental aspect of Islamic education that serves as the foundation for the formation of faith and individual religious character. The family plays a crucial role as the primary educational environment in instilling the values of Tawhid from an early age. However, in modern social realities, the role of families in Tawhid education often faces various challenges, necessitating support from non-formal Islamic educational institutions. This study aims to describe the role of families in Tawhid education through their involvement in the Majlis Taklim ‘Izzatin Nisa Tangerang. This study uses a qualitative approach with descriptive methods. Data collection techniques were carried out through observation, interviews, and documentation of the Majlis Taklim administrators, the congregation, and ongoing learning activities. The results show that families play an active role in Tawhid education through parental role models, the habit of worship at home, and the strengthening of understanding of the faith gained from the Majlis Taklim activities. The Majlis Taklim ‘Izzatin Nisa serves as an educational tool that strengthens the congregation's understanding of Tawhid and encourages its implementation in family life. Thus, the synergy between families and religious study groups has been proven to contribute to strengthening monotheism education and building religious awareness within the community.

Rainfall is a crucial factor in the stability of the Earth's ecosystem and has a significant impact on agriculture, forestry, energy, and water management. However, increasingly unstable climate change makes rainfall patterns difficult to predict accurately using traditional methods. The city of Medan, the capital of North Sumatra Province, has a tropical rainforest climate with an average annual rainfall of approximately ±2200 mm and an average temperature of 27°C. Significant weather fluctuations in this area can trigger flooding when rainfall increases and cause water shortages when rainfall decreases (BMKG, 2021). Therefore, a prediction approach that can manage non-linear and dynamic data is needed. Artificial Neural Networks (ANN) are one of the reliable machine learning methods for detecting data patterns. By using the backpropagation algorithm, the model can gradually reduce prediction errors, making it widely used in weather forecasting applications. In this regard, this study uses ANN with the backpropagation method to forecast monthly rainfall in Medan City by utilizing data from 2022–2024 as training and testing data.

Stock price prediction remains a complex challenge due to the dynamic and non-linear nature of financial markets, especially for banking stocks like PT Bank Negara Indonesia (Persero) Tbk (BBNI). This study aims to optimize BBNI stock price forecasting by integrating an automated Extract, Transform, Load (ETL) pipeline with the Long Short-Term Memory (LSTM) algorithm within a data engineering framework. Historical data from 2019 to 2025 were processed through a structured ETL sequence—including data cleaning, feature engineering, and MinMaxScaler normalization—to ensure high data quality. The dataset was partitioned into 80% for model training and 20% for testing to ensure rigorous evaluation. The results demonstrate that the systematic ETL approach significantly enhances model stability and predictive accuracy compared to conventional methods. The LSTM model effectively captured long-term temporal dependencies, providing reliable trend forecasts with an impressive test accuracy, achieving a Root Mean Squared Error (RMSE) of 0.0354. This research underscores that integrating robust data engineering practices with deep learning is essential for building resilient financial decision-support systems.

Flood disasters that struck Cikahuripan Village significantly affected the physical, psychological, and learning motivation conditions of elementary school students, particularly at SD N 1 Cikahuripan. In the post-disaster period, students experienced a decline in learning motivation caused by psychological trauma, loss of a sense of security, and limited learning facilities. This Community Service Program (Pengabdian kepada Masyarakat/PkM) aimed to restore students’ psychological conditions while strengthening their learning motivation through an integrated psychosocial and pedagogical approach. The implementation methods included an initial assessment of students’ conditions, trauma healing activities based on play therapy, and the application of Fun Learning methods combined with the “Tree of Dreams” activity to rebuild students’ intrinsic motivation. The program was conducted from 15 to 22 November 2025 and involved 31 elementary school students as well as teachers as sustainability partners. The evaluation results showed significant positive changes, indicated by increased cheerfulness, active participation, confidence in social interaction, and improved learning focus among students. In addition, teachers’ capacity to implement trauma-sensitive teaching practices also improved. This program demonstrates that post-disaster learning motivation recovery requires a holistic approach integrating psychological and academic recovery, and it has the potential to serve as a replicable model for educational interventions in disaster-prone areas.

This study was motivated by the low levels of student motivation and cognitive learning outcomes in the Islamic Education (PAI) subject at SMK Pasundan 1 and SMK Bunga Persada Cianjur. The phenomenon was identified through preliminary observations showing that 45% of students scored below the Minimum Mastery Criteria (KKM) and demonstrated low engagement during the learning process. The school’s efforts to improve student motivation and learning outcomes have not been optimal, as teaching methods and media are still largely limited to conventional approaches. Therefore, innovation in learning through the use of technology-based interactive multimedia such as Google Classroom, YouTube, and Quizizz is needed to create more engaging and effective learning experiences. The objectives of this study were to identify: (1) the implementation of Google Classroom, YouTube, and Quizizz multimedia in PAI learning; (2) students’ learning motivation; (3) students’ cognitive learning outcomes; (4) the influence of multimedia implementation on students’ learning motivation; (5) the influence of multimedia implementation on students’ cognitive learning outcomes; and (6-8) the qualitative findings that expand and deepen the quantitative results regarding multimedia implementation, learning motivation, and cognitive learning outcomes at SMK Pasundan 1 and SMK Bunga Persada Cianjur. This research employed a Mixed Methods approach using a sequential explanatory design, combining quantitative and qualitative methods in sequence. Data were collected through questionnaires, interviews, observations, and document analysis.

Household plastic waste remains a serious challenge in urban environments, including Jl. Assofa II, Kebon Jeruk, West Jakarta, which is characterized by high population density and intense socio-economic activities. The low level of public awareness in sorting and managing plastic waste, particularly bottle caps, highlights the need for educational approaches from an early age. This community service activity aimed to enhance environmental awareness, creativity, and character development among children through the “Recycled Keychain” project, which involved recycling plastic bottle caps into keychains. The activity was implemented using a Project-Based Learning (PjBL) approach and involved 12 children aged 7–9 years as the main participants. The implementation methods included education on waste management based on the principles of reduce, reuse, and recycle (3R), collection and sorting of bottle caps, and the process of creating creative products. The results showed an increase in children’s environmental awareness and environmentally responsible behavior, the creation of eco-friendly educational products, as well as improvements in creativity, motor skills, and teamwork abilities. In addition, this activity supported the strengthening of the Pancasila Student Profile, particularly in the dimensions of cooperation, critical thinking, creativity, and independence. Overall, the Recycled Keychain project proved to be an effective model of contextual, participatory, and sustainable environmental education in instilling environmental care values from an early age in urban communities.

This paper aims to describe the implementation and development of the Merdeka Curriculum at SD IT Permata Hati Entrop, an Integrated Islamic Elementary School. As an educational institution with a vision of integrating general knowledge with Islamic values, SD IT Permata Hati adapts the national curriculum to create learning that is more flexible, focused on essential content, and character-based. This curriculum is developed to optimize students’ potential holistically, encompassing cognitive, affective, and psychomotor aspects through the strengthening of the Pancasila Student Profile.The main focus of curriculum development at this school consists of three pillars: innovative intracurricular learning, the Project for Strengthening the Pancasila Student Profile (P5), and extracurricular activities that support students’ interests and talents. In its implementation, the school applies active learning methods such as Problem-Based Learning (PBL) and contextual learning linked to daily life and Islamic principles. The evaluation process is conducted through formative and summative assessments that are humanistic and reflective in nature. The outcomes of this development are expected to equip students with 21st-century skills and strong religious character in accordance with the demands of the times.

Digital transformation in higher education has reshaped learning patterns and students’ academic practices, including how they manage and complete academic tasks. On the one hand, digital learning offers flexibility and easy access to learning resources; on the other hand, it has intensified tendencies toward academic task procrastination. This study aims to analyze students’ academic task procrastination as a socially constructed reality within the context of digital learning. The research adopts a qualitative approach with a case study design conducted at IAIN Fattahul Muluk Papua. Data were collected through in-depth interviews with students and lecturers and analyzed using Peter L. Berger and Thomas Luckmann’s social construction theory, encompassing the processes of externalization, objectivation, and internalization. The findings indicate that task procrastination is externalized through flexible learning schedules, digital media distractions, fatigue with instructional methods, and academic pressure. These practices are subsequently objectivated through students’ collective experiences and social relations with lecturers, leading them to be perceived as normative behavior in digital learning. Furthermore, task procrastination is internalized as a habit and an adaptive, taken-for-granted strategy within students’ learning rhythms. This study affirms that academic task procrastination cannot be reduced to an individual problem alone; rather, it emerges from the complex interaction between technological structures, pedagogical practices, and academic social dynamics. The findings are expected to contribute to the development of more reflective and contextual digital learning policies and strategies.

This study aims to describe the implementation of learning methods, assessment systems, and learning evaluation in the Philosophy of Science course at STAI Al-Andina Sukabumi, particularly for first-semester students. The research employed a qualitative approach with a descriptive design. Data were collected through semi-structured interviews with the course lecturer to explore the rationale for selecting the lecture method, assessment practices, and evaluation strategies applied in the learning process. The findings indicate that the lecture method combined with guided discussion was chosen as an adaptive strategy to help students develop a conceptual foundation for abstract and theoretical material. The assessment system places greater emphasis on student attendance and participation as a form of process-oriented assessment that encourages active engagement. Learning evaluation is conducted continuously through technology-based quizzes to monitor students’ understanding progressively. These results suggest that the Philosophy of Science learning process at STAI Al-Andina has adopted a contextual and formative pedagogical approach; however, further development of more varied assessment and evaluation methods is still needed to accommodate students’ diverse abilities.

Digital transformation in higher education has reshaped learning patterns and students’ academic practices, including how they manage and complete academic tasks. On the one hand, digital learning offers flexibility and easy access to learning resources; on the other hand, it has intensified tendencies toward academic task procrastination. This study aims to analyze students’ academic task procrastination as a socially constructed reality within the context of digital learning. The research adopts a qualitative approach with a case study design conducted at IAIN Fattahul Muluk Papua. Data were collected through in-depth interviews with students and lecturers and analyzed using Peter L. Berger and Thomas Luckmann’s social construction theory, encompassing the processes of externalization, objectivation, and internalization. The findings indicate that task procrastination is externalized through flexible learning schedules, digital media distractions, fatigue with instructional methods, and academic pressure. These practices are subsequently objectivated through students’ collective experiences and social relations with lecturers, leading them to be perceived as normative behavior in digital learning. Furthermore, task procrastination is internalized as a habit and an adaptive, taken-for-granted strategy within students’ learning rhythms. This study affirms that academic task procrastination cannot be reduced to an individual problem alone; rather, it emerges from the complex interaction between technological structures, pedagogical practices, and academic social dynamics. The findings are expected to contribute to the development of more reflective and contextual digital learning policies and strategies.

The purpose of this classroom action research project is to find out how well seventh-grade female students at Mutiara Qur'an Islamic Boarding School in Wonogiri learn Arabic with the use of the audiolingual approach. By emphasizing active listening and pronunciation, the audiolingual approach makes it easier for students to comprehend and communicate in Arabic. Twelve female seventh-graders at Mutiara Qur'an Islamic Boarding School participated in the researcher's qualitative study in order to gather the research findings. The study was conducted in two cycles to enhance Arabic language learning. Planning, action, observation, and reflection are the four components of each cycle in the Kurt Lewin model. Tests, observations, and interviews were the methods utilized to get the data. The proportion of learning mastery and descriptive analysis were used to examine the collected data. The study's findings show that the audiolingual approach is successful in raising female students' Arabic language learning outcomes.

This study aims to analyze the management of educational facilities and infrastructure planning at Pesantren Miftahul Ulum Subang and its contribution to learning effectiveness. The research employed a qualitative approach with a case study design, using in-depth interviews, observations, and document analysis involving 19 participants, including the boarding school leader, teachers, students, and facilities managers. Data were analyzed thematically to identify patterns of facilities management and their impact on the learning process. The findings indicate that the needs analysis for facilities is not yet systematic and largely relies on informal reports. Facilities procurement is carried out gradually based on priority needs and available financial resources. Several facilities are underutilized due to the absence of standard operational procedures and limited supervision. The study also shows that the quality of facilities has a direct influence on learning effectiveness by enhancing classroom comfort and supporting instructional methods. It is concluded that structured and data-driven facilities planning is essential for improving the quality of learning in Islamic boarding schools.

Low levels of political literacy and political participation awareness among female university students remain a challenge for strengthening democracy at the local level. This condition is also found among female students in East Lombok, who tend to perceive political participation narrowly and lack the skills and confidence to engage actively as citizens. This community service program aims to enhance political literacy, participatory awareness, and the capacity of female students to understand and practice political participation in a critical and responsible manner. The program was implemented at the Institut Teknologi Sosial dan Kesehatan Muhammadiyah Selong using a community organizing approach integrated into the academic learning process. The methods included participatory discussions, mentoring, simulations, and critical reflection, positioning female students as active subjects throughout the activities. The results indicate an improvement in participants’ understanding of the meaning and forms of political participation, increased confidence in expressing opinions, and the emergence of new awareness regarding their roles as democratic citizens. In addition, a female student discussion group was formed as a space for collective learning and an early platform for local leadership. This program highlights the role of higher education institutions in promoting social transformation and strengthening women’s political participation at the local level.

Because it directly impacts revenue, customer loyalty, and long-term business sustainability, customer churn is a critical issue for the e-commerce industry. High churn rates indicate that a business is unable to retain existing customers, which means it is more expensive to acquire new customers. Therefore, a precise analytical approach is needed to identify customer behavior patterns that are likely to churn. Using machine learning methods, this study analyzes and predicts customer churn. For this study, the E-Commerce Customer Churn 2025 dataset, obtained from Kaggle, was used. This dataset consists of 10,000 customer data and contains fifteen variables covering transaction behavior, customer characteristics, and churn status. Data preprocessing, descriptive analysis, exploratory data analysis (EDA), and classification model development using Logistic Regression and Random Forest algorithms were part of the research project. Model evaluation was conducted using a Confusion Matrix and Receiver Operating Characteristic (ROC) Curve to evaluate the model's accuracy and ability to distinguish between churned and non-churned customers. The results showed that the Random Forest model performed better than Logistic Regression, with an ROC-AUC of 1.00. Furthermore, feature importance analysis revealed that the days_since_last_purchase variable was the most dominant factor in predicting customer churn. These findings are expected to help e-commerce companies design more effective, data-driven customer retention strategies.  

This study aims to determine the influence of the Deep Learning learning approach and school facilities on the learning outcomes of MPLB students at SMK Negeri 14 Jakarta. The research method used is a survey with a quantitative approach. The research population consisted of 180 MPLB vocational students, with a sample of 125 students determined through proportional stratified sampling techniques. Data collection was carried out using questionnaire instruments, while data analysis used multiple linear regression with the help of SPSS version 26 application. The analysis includes research instrument tests, classical assumption tests, and hypothesis tests. The results of the study show that there is a positive and significant relationship between the Deep Learning learning approach to student learning outcomes. In addition, school facilities have also been proven to have a positive and significant effect on learning outcomes. Simultaneously, the Deep Learning approach and school facilities together have a positive influence on the learning outcomes of MPLB students. These findings confirm that the success of learning is not only determined by the methods used, but also by the support of school facilities and infrastructure. Thus, the application of a Deep Learning approach supported by adequate school facilities can improve the quality of student learning outcomes at SMK Negeri 14 Jakarta.

Curriculum and education is an inseparable relationship because the curriculum is very important in education, if there is no curriculum then education will not be realized because the curriculum is a guideline for the maintenance of education in addition to that the curriculum is always adapted to the existing situation and circumstances. One of the educational institutions that are active in applying K-13 is MA Putri 1 Al-Amien Prenduan, where this institution is under the umbrella of Al-Amien Prenduan Pesantren Pondok. Pondok Pesantren Al-Amien Prenduan is composed of 4 parent institutions, namely Tarbiyatul Banaat Diniyah Al-Amien (TIBDA), Madrasah Tsanawiyah Al-Amien (MTsA) accredited status in 2005, Madrasah Aliyah Al-Amien (MAA) accredited status in 2004, Madrasah Aliyah Skills (MAK), and the Middle School of Information Technology (SMK IT) established in 2008. This study uses a qualitative-descriptive approach. As for the data collection technique in this research, it is using methods of interview, observation and documentation. The interview method used is a structured interview to extract detailed data from the source. From the findings in the field obtained based on the results of interviews, documentation, and observations can be concluded into several points: 1) the K13 learning plan in improving student performance performed by the teacher is by first mapping the KD by establishing the theme that is in the teacher's book. 2) K13 learning process in improving student learning performance more emphasizes cognitive aspects with emotional, and psychomotor support. 3) Authentically evaluate in K13 learning to improve this student’s learning performance using various techniques and starting instruments

This study aims to develop a Student Worksheet (LKPD) on Chemical Bonding assisted by Augmented Reality (AR) based on deep learning and to examine its feasibility, practicality, and effectiveness in improving learning activities and higher-order thinking skills (HOTS) of high school students. The research employed a 4D development model (define, design, develop, and disseminate) using a pretest posttest control group design involving 11th grade students. Research instruments included expert validation sheets, learning activity questionnaires, and HOTS test instruments. Data were analyzed using descriptive and inferential statistical methods. The results indicated that the AR-based LKPD met very feasible and practical criteria based on expert judgment and student responses. Furthermore, there was a statistically significant difference between the experimental and control groups in learning activities and HOTS achievement (p = 0.005). The increase in HOTS scores in the experimental group was categorized as moderate, indicating meaningful learning gains. These findings demonstrate that the AR-assisted Chemical Bonding LKPD is effective as an innovative learning medium for supporting students’ understanding of abstract chemistry concepts and fostering higher-order thinking skills.

Attention span and cognitive focus in young minds these days are increasingly structured by the growing influence of digital distractions. Drawing from the ideas of Foucault and Nietzsche, this paper examines how technology molds behavior and, at the same time, is used as a tool of control through power relations. This digitally fosters a form of nihilism, the sense life has no purpose. By using a mixed-methods approach, this research combines the surveying and in-depth interviewing of students and instructors about how technology influences attention, learning, and academic performance. Results indicate that while technology brings many benefits, it also provides significant challenges-most notably via social media and smartphone distractions. These distractions reduce attention spans, decrease deep learning, and contribute to cognitive overload. This study therefore calls for the integration of technology into education in a balanced way, highlighting digital literacy, mindful use, and distraction-reduction strategies. In the process, self-awareness, self-regulation, and responsible use will allow people to use its benefits rather than fall into disengagement and cynicism. Technology should serve as a tool for learning and growth-not a barrier to focus and intellectual development.