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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 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.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

The study titled “Designing a Web-Based E-Module for Empowering Tenth-Grade Students’ Writing Skills in Descriptive Text” aims to develop a digital learning medium to improve students’ descriptive writing abilities. The research applies a Design and Development (D&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation, supported by a descriptive quantitative method. The study addresses limitations of traditional, teacher-centered instruction that relies heavily on printed materials by integrating technology into the learning process. The research begins with an analysis of existing teaching practices and learning resources for descriptive text writing. Based on this analysis, a web-based e-module is designed to provide a more interactive and engaging learning experience. The module includes structured materials such as definitions, purposes, text structures, language features, examples, and practice exercises. The e-module is then implemented in a tenth-grade classroom setting, followed by an evaluation of its effectiveness using quantitative data. The results indicate that the web-based e-module effectively improves students’ descriptive writing skills. Interactive features, including multimedia content, self-paced activities, and immediate feedback, enhance students’ motivation and active participation. Teachers and students report positive perceptions regarding the practicality, accessibility, and usefulness of the e-module. Pre-test and post-test results also show a clear improvement in students’ writing performance. Overall, the study concludes that web-based e-modules are a promising instructional medium for enhancing writing skills and supporting student-centered, technology-integrated English language learning.

This study aims to evaluate the effectiveness of the Structural Analytic Synthetic (SAS) method in enhancing the early reading skills of first-grade students in Catholic Religious Education at SD YPPK Yohanes Paulus II Obaa, Mappi Regency, South Papua Province. The study employed a Classroom Action Research approach using a cyclical model comprising the stages of planning, implementation, observation, and reflection, conducted over two cycles. The research subjects consisted of 25 students, and data were collected through reading tests, classroom observations, and documentation. The results indicated a significant improvement in students’ early reading skills, with learning mastery increasing from 61% in the first cycle to 100% in the second cycle. This success was associated with the implementation of the SAS method through structured learning stages, progressing from sentences to words, syllables, and letters, accompanied by the use of varied media and intensive teacher guidance. In addition to improving reading skills, the SAS method was also found to enhance students’ interest, participation, and learning motivation. Therefore, the SAS method is recommended as an effective strategy for teaching early reading to young elementary school students, particularly within the context of Catholic Religious Education.

Savings and Loan Cooperatives (KSP) play a vital role in expanding community access to capital, especially within the informal sector. Nevertheless, non-performing loans remain a persistent challenge that can threaten liquidity and long-term institutional sustainability. KSP CU Mera Ndi Ate faces similar issues, which are assumed to stem not only from administrative weaknesses but also from members’ perceptions and behavioral factors. This research aims to examine the potential causes of non-performing loans through text-based sentiment analysis using an unsupervised learning approach. A quantitative method with a data mining framework was applied. Data were gathered through interviews, observations, documentation, and 200 customer opinion texts processed using the Orange Data Mining application. The analytical stages included preprocessing, corpus development, feature extraction, sentiment clustering, and visualization. Because the dataset lacked predefined labels, unsupervised learning was used to identify naturally emerging sentiment patterns. Findings reveal a predominance of critical sentiments related to credit assessment procedures and service quality. The highest sentiment score (75) concerned insufficient creditworthiness evaluation, followed by concerns about service efficiency (66.6667). These insights suggest that improving assessment accuracy and service quality may help reduce non-performing loans.

. This research is driven by the low literacy of plastic waste management in primary education, where students tend to perceive cleanliness only as disposing of trash without having the skills for reuse. This study aims to describe the utilization of recycled plastic waste media in enhancing students' environmental awareness at MI Salafiyah Syafi’iyah through an experiential learning approach. The method employed is descriptive-analytical qualitative, with data collection techniques including direct observation, interviews, and documentation. The research implementation was carried out through three main stages: participatory waste sorting, selection of clothing pattern designs as adhesive media, and the construction of creative collages into an educational display board named "Karyaku." The results indicate that the integration of plastic waste as a learning medium is capable of transforming students' paradigms from a consumptive to a creative perspective, as well as improving their practical understanding of the 3R principles (Reduce, Reuse, Recycle). The success of this research is evidenced by the creation of aesthetic and functional visual media that not only enhances students' creativity but also fosters a sense of responsibility and sustainable environmental concern for the school ecosystem.  

In today’s digital era, social media has become a new space for individuals to develop their personal creativity. This study analyzes the content strategy of the TikTok account @buiramira in building audience engagement and understanding the impact it has on the account’s image. The background of this research stems from the phenomenon of increasing social media usage, particularly TikTok, as a means of communication, entertainment, and promotional media. Using McGuire’s information processing theory, the study finds that followers’ perceptions of the TikTok account @buiramira as a source of information for thesis learning are very positive, making it suitable as a learning platform. The content presented not only provides technical knowledge but also shapes students’ attitudes and behaviors in facing the thesis process.This research employs a descriptive qualitative method  with data collection techniques including content observation, interviews, and documentation. The results show that the @buiramira account successfully builds strong interaction with its audience through consistent uploads, the use of a communication style that feels close to viewers, and the utilization of current trends. In addition, the study finds that audience engagement is strongly influenced by a combination of content creativity, relevant topic selection, and the account owner’s ability to maintain emotional closeness with followers. These findings emphasize the importance of well-planned digital communication strategies in managing social media accounts, so that they can provide benefits both personally and professionally.

Indonesian language education plays a strategic role in strengthening national identity and preserving cultural values amid the pressures of globalization. In the global era, the dominance of foreign languages, digital media, and transnational cultures poses challenges to the existence of national languages and local cultural identities. This study aims to analyze the role of Indonesian language education as an instrument for reinforcing national identity and cultural awareness in formal educational settings. The research employs a qualitative descriptive method with a literature review approach, examining scientific journals, policy documents, and relevant educational studies published within the last five years. Data were analyzed through content analysis to identify patterns, themes, and conceptual relationships related to language education and cultural identity. The findings reveal that Indonesian language education not only functions as a medium of communication but also serves as a vehicle for transmitting national values, cultural narratives, and collective identity. Learning materials that integrate local wisdom, literature, and cultural texts significantly contribute to students’ cultural awareness and national character development. Furthermore, Indonesian language education plays an important role in fostering critical literacy, cultural resilience, and a sense of belonging among learners in a globalized context. The study implies that strengthening Indonesian language education through curriculum development, contextual learning, and teacher competence enhancement is essential to sustaining national identity and cultural continuity in the era of globalization.

The development of information and communication technology requires students to have digital literacy and communication skills as essential competencies for the 21st century. However, limited infrastructure and low technological literacy remain obstacles in a number of schools, including Moria High School in Sorong City. This activity aims to improve computer network technology literacy and students' speaking skills through a hands-on, practice-based training approach. The method used is qualitative with stages of observation, socialization, training, and evaluation. Computer network training includes an introduction to basic networking concepts, cabling practices, and network simulations using Cisco Packet Tracer. While speaking skills training is conducted through role-play techniques, repetition, and direct feedback. The results of the activity showed an increase in students' understanding of computer network technology, technical practical skills, and increased confidence and clarity in speaking. Evaluations showed that most participants were able to apply the material presented conceptually and practically. Thus, this activity has proven effective in improving students' computer network technology literacy and speaking skills as preparation for facing 21st-century learning and the world of work in the digital era.

College represents a critical transitional period requiring high adaptation, where students often face escalating academic demands triggering psychological pressure. This study aims to deeply analyze the reciprocal relationship between sleep patterns and academic stress levels, and identify their subsequent impacts on cognitive function (concentration) and students' physical health. This study employs a qualitative method with a Systematic Literature Review approach. Data were collected through comprehensive searches of accredited national and reputable international scientific articles published within the last five years (2020–2025). Literature selection was conducted rigorously using specific keywords to screen empirical studies relevant to stress, sleep, and student health variables. Data synthesis reveals a strong and consistent negative correlation. High levels of academic stress whether stemming from the adaptation phase of new students (initiation), thesis preparation workload, or role conflicts in working students are significantly associated with decreased sleep quality. Physiologically, stress triggers increased cortisol levels causing insomnia, shortened sleep duration, and prolonged sleep latency. Subsequent impacts are proven to drastically reduce learning concentration and trigger physical health disorders, including an increased risk of primary dysmenorrhea in female students. This study concludes that academic stress and sleep disturbances form a destructive cycle that exacerbates one another. Therefore, holistic institutional interventions in the form of sleep hygiene education and stress management training are needed to break this chain for the sake of student well-being and academic performance.

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.

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.

The development of bioinformatics has led to the availability of large amounts of genetic data through public databases such as NCBI Gene, OMIM, and Ensembl. However, the complexity of data presentation and the dominance of English language hinder students, novice researchers, and the general public in understanding the relationship between genes and disease. This research aims to develop a simple web-based information system to identify disease-causing genes with concise, Indonesian-language, and user-friendly information presentation. The method used is Research and Development (R&D), which includes literature study, needs analysis, system design, implementation, testing, and evaluation. The system was developed using a MySQL relational database with a web interface that displays basic gene information, chromosome location, biological function, and gene-disease relationships, complete with simple visualizations. Black Box testing results indicate that all main functions run according to user requirements. This system is expected to improve bioinformatics literacy and become an effective learning medium.

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.

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.

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.

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.

The rapid and significant development of technology in the world has made online games a very popular form of entertainment among teenagers and students. Easy access to online games through gadgets has led to an increase in the number of teenagers playing online games. This condition has both positive and negative impacts on education, particularly on students' interest in learning. This study aims to analyze in depth the influence of online games on the lives and learning achievements of teenagers based on previous articles. We chose a literature study method for this research, and the data sources were obtained from articles relevant to the discussion. The data collection technique was carried out by reading and examining important information from the articles used. The results of the study show that online games have both positive and negative impacts on teenagers. The positive impacts can be seen in games that are educational and relevant to learning, as they can increase motivation, curiosity, and skills in teenagers. However, if played excessively and without supervision, online games tend to reduce concentration, decrease study time, and impact academic achievement, psychological well-being, and the health of adolescents. Therefore, the role of parents and teachers is crucial in controlling, guiding, and monitoring the use of online games so that adolescents can use them wisely and support the learning process wherever they are.