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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.

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.

The development of academic writing skills among university students remains a serious challenge in higher education, particularly in Indonesian language courses that are often perceived as theoretical and procedural. This study aims to reconstruct Indonesian language learning through an Outcome Based Education (OBE) approach to strengthen students’ scientific writing skills at Universitas Muhammadiyah Maumere. Employing a qualitative research design, data were collected through classroom observations and in-depth interviews with students and lecturers over a three-week period. The findings reveal that OBE based learning encourages clearer learning objectives, increases students’ awareness of academic writing standards, and fosters reflective and critical writing practices. Students demonstrated improved understanding of scientific text structures, argument development, and academic language conventions. Furthermore, the learning process shifted from teacher centered instruction to a more participatory and student oriented model, allowing students to actively construct knowledge through observation, discussion, and writing practice. The study also highlights that the integration of contextual learning and continuous feedback plays a crucial role in enhancing students’ confidence and motivation in academic writing. These findings imply that OBE based Indonesian language instruction can serve as an effective pedagogical strategy to cultivate academic literacy, critical thinking, and responsible scholarly attitudes among university students. The study recommends broader implementation of OBE principles in language education to support sustainable improvement in higher education learning outcomes.

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.

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.

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.

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 research is based on the problem of declining morals of third-grade students at SD IT Baitul Muslim, which has implications for daily behavior, particularly in Pancasila Education learning. Students tend to exhibit attitudes that are inconsistent with positive character values, such as a lack of tolerance and a low sense of love for the homeland. The purpose of this study is to identify the significant influence of educators' roles in shaping the character of third-grade elementary school students in Pancasila Education subjects. The method used is an ex post facto method with a quantitative approach and a purposive sampling design. The study population consisted of 10 educators and 95 students, with a sample of 10 educators and 40 students from two selected classes. Data collection techniques were carried out through questionnaires and documentation that had been tested for validity using Aiken's V and reliability with Cronbach Alpha. Hypothesis testing using simple linear regression analysis showed a significance value of 0.044 which is smaller than 0.05 and a calculated F value of 5.692 which is greater than the F table of 2.27. Thus, the null hypothesis is rejected and the alternative hypothesis is accepted. The research findings confirm the significant influence of educators, particularly as demonstrators, classroom managers, facilitators, and evaluators, in shaping students' character in Pancasila Education. The implication of these findings is that educators need to optimize role models to improve students' character development.

The ability to analyze ethical and health law issues is one of the learning outcomes that must be mastered by students of the Public Health Study Program. Over the past two years, the implementation of lectures has been predominantly based on problem-based learning; however, most student learning outcomes have remained in the “not yet achieved” category, including in completing assignments related to ethical and health law problem solving. This study aims to compare students’ problem-solving abilities between the implementation of project-based learning and problem-based learning. The research was conducted in the Public Health Study Program at Universitas Jambi involving first-semester students enrolled in the Ethics and Health Law course. The research employed a quasi-experimental design involving 200 students, with 100 students assigned to the experimental group and 100 students to the control group. The instruments used were assessment sheets and observation sheets. Data collection was carried out twice, before and after the implementation of the two learning models. Data processing and analysis were conducted using an independent t-test.The results of the study indicate an improvement in students’ problem-solving abilities through the implementation of project-based learning. Project-based learning contributes to strengthening students’ perseverance and problem-solving skills and is therefore recommended for implementation in all courses at higher education institutions.

This study examines the development of a Crude Palm Oil (CPO) price forecasting model using an artificial neural network algorithm, specifically the backpropagation algorithm. As one of Indonesia’s main export commodities, CPO has a significant economic impact and influences the income of oil palm farmers. The CPO price data used in this study were obtained from CIF Rotterdam, covering the period from January 2019 to December 2023. The research methodology consists of several stages, including data collection, preprocessing, model design, and model implementation using Python programming. The training results of the backpropagation algorithm show an error value of 0.537829578 after 1,000 epochs, while the evaluation using Mean Squared Error (MSE) indicates an MSE of 0.022709 during the training process and 0.017604 during the testing process. The model also produces CPO price predictions for the next three months, namely 932.578 for the first month, 949.568 for the second month, and 774.855 for the third month. These findings indicate that the developed model is capable of predicting future CPO prices with adequate accuracy, which can assist companies in making better financial decisions and managing risks associated with CPO price fluctuations.

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 explore the dynamics of psychological empowerment among women entrepreneurs by examining how they construct entrepreneurial identity, develop competence, cultivate independence, and generate social impact through their business activities. The background of this research stems from the need for women in micro and small enterprises to receive support that extends beyond technical skill development, emphasizing psychological aspects such as self-belief, personal control, and decision-making capacity. Employing a qualitative phenomenological approach, this study involved three women entrepreneurs selected through purposive sampling. Data were collected using semi-structured interviews to capture the participants’ subjective experiences in managing their businesses. The findings reveal four central themes: entrepreneurial identity shaped by personal values and lived experiences, competence that evolves through continuous learning and problem-solving, independence reflected in decision-making and business management, and social impact manifested in the creation of economic opportunities and contributions to the surrounding community. These results illustrate that psychological empowerment among women entrepreneurs is a dynamic process formed through the interaction of personal experiences, entrepreneurial practices, and community support. The study emphasizes the importance of empowerment programs that integrate psychological strengthening alongside technical training, with communities serving as vital spaces for collective learning and mutual support. Recommendations highlight the need for holistic empowerment models that consider the sociocultural context of women entrepreneurs and foster sustainable growth in both personal and business capacities.  

The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of retail transactions. The main focus of this study is to classify product categories and predict customer segments, including the identification of high-spending customers (high spenders), based on demographic attributes such as age and gender, as well as various transaction-related features. The research methodology includes data preprocessing, label encoding, and feature engineering to generate additional variables, including Age_Group, Is_Holiday, and Spender_Group, which are expected to enhance the predictive capability of the models. Several machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, were implemented and evaluated to compare their respective performance. The experimental results indicate that multiclass product category classification achieves relatively low accuracy, ranging from 27% to 34%. These findings suggest the high complexity of retail data and highlight the need for further model optimization, class balancing techniques, and feature refinement to improve predictive performance in future studies.

This study aims to: (1) describe the implementation of local wisdom–based learning in the teaching process of Grade VII B at UPT SMP Negeri 4 Kelara Jeneponto; (2) determine the improvement of students’ social awareness after the implementation of local wisdom–based learning; and (3) identify the enhancement of students’ learning culture through the application of this learning model. The research employed a Classroom Action Research (CAR) design using the Kemmis and McTaggart model, conducted in two cycles consisting of planning, action, observation, and reflection. The subjects were 25 seventh-grade students, focusing on two main variables: social awareness and learning culture. Data were collected through observation, questionnaires, and documentation, and analyzed using descriptive quantitative and qualitative techniques. The findings indicate that the integration of Jeneponto cultural values Tabe’ Karaeng, Sipakatau, Sipakalabbiri, Sipakainga, Siri’ na Pacce, Akbulo Sibatang, and empo sipitangari was implemented effectively and became more optimal in Cycle II after improvements were made through Problem-Based Learning (PBL) and the use of more contextual local cases. Students’ social awareness increased from an average of 63.13% in Cycle I (categorized as Fair) to 80.42% in Cycle II (categorized as High). Similarly, students’ learning culture improved from 69.69% (Fair) in Cycle I to 82.66% (High) in Cycle II, meeting the classical mastery criteria. The study concludes that integrating local wisdom into classroom instruction not only strengthens students’ understanding of social studies content but is also effective in shaping their social character and learning habits. This model is recommended for development in other subjects and educational levels.

The policy to implement the deep learning approach in Indonesian schools starting from the 2025/2026 academic year requires teachers to be well prepared to design and conduct meaningful and in-depth learning. This community service program aimed to enhance the understanding and pedagogical competence of senior high school and madrasah economics teachers in Tasikmalaya City in implementing the deep learning approach comprehensively. The program employed a community-based science and technology application scheme through training and mentoring activities conducted in face-to-face, online, and hybrid modes, consisting of planning, implementation, and evaluation stages. The training materials covered the concept and implementation of deep learning, lesson planning, instructional design and models, learning evaluation, development of innovative technology-based learning media, and reinforcement of microeconomic and macroeconomic content. A total of 78 economics teachers participating in the MGMP of Tasikmalaya City were involved in the program. The results indicate that the training improved teachers’ understanding of deep learning, lesson planning, and assessment strategies that support meaningful learning. Participants’ reflections revealed high motivation and strong relevance of the training materials to their professional duties. This program contributes to strengthening teachers’ readiness to implement deep learning sustainably and supports the improvement of economics learning quality in schools.

This research aims to develop a deep learning-based mathematics e-module with the integration of the context of the Suramadu Bridge in scale and comparison materials for grade VII junior high school students. The development model used is the 4D (Define, Design, Develop, Disseminate) model which includes the stage of defining learning needs, designing e-modules, product development, and limited deployment. The research instruments used included validation sheets of media and material experts, observation sheets of teacher and student activities, learning outcome tests, and student response questionnaires. The results of the study showed that the e-modules developed met the valid criteria with a media validity level of 94.29% and material of 95%. In addition, the e-module is considered practical with teacher practicality of 78.67% and students of 86.67%, and effective with a learning effectiveness rate of 83.83%. The students' response to the e-module was also very positive, which showed that the integration of the local context of the Suramadu Bridge and the deep learning approach was able to increase student engagement, learning motivation, and understanding of mathematical concepts in a meaningful way. These findings indicate that local context-based e-modules can be an innovative alternative in mathematics learning that is relevant to students' real lives as well as support the implementation of 21st century learning.

This study aims to analyze the obstacles in Social Studies (IPS) learning related to global issues influenced by technological advancement through a literature review method. Social Studies plays an essential role in shaping students’ understanding of social, economic, cultural, and political life while fostering global awareness in the digital era. However, in practice, IPS learning often faces various challenges that reduce its effectiveness and attractiveness. One of the main problems is students ’low interestin IPS, as it is often perceived as boring and overly theoretical, combined with the influence of technology that diverts students’ attention toward digital entertainment. Other contributing factors include non-interactive teaching methods, limited learning facilities, unconducive classroom environments, and a lack of parental support. Through a comprehensive literature review, this study found that relevant strategies to overcome these issues include Project-Based Learning, Technology Integration, and Contextual Approaches. These strategies enable students to learn actively, critically, and collaboratively by linking IPS material to global issues and real-world phenomena. The recommended solutions include implementing project-based education, utilizing interactive digital media, and fostering intercultural dialogue within the learning process. The results of this study are expected to provide theoretical contributions to the development of adaptive IPS learning models in response to technological progress, as well as practical benefits for teachers, schools, and policymakers in creating Social Studies learning that is engaging, meaningful, and relevant to the global challenges of the 21st century.

This study is grounded in the issue of low student discipline and learning motivation in elementary schools, which requires teachers to apply more effective and context-based instructional strategies. The purpose of this research is to describe how teachers utilize social learning theory to enhance students’ discipline and motivation, as well as to analyze the impact of these strategies on classroom behavior and student engagement. This research employed a descriptive qualitative approach, with data collected through observations, interviews, and documentation involving teachers and students. The findings show that teacher strategies integrating modeling, positive reinforcement, and collaborative learning successfully create a more conducive learning environment. The use of teacher and peer role models was found to increase compliance with classroom rules, while the provision of positive feedback encouraged students to participate more enthusiastically in learning activities. Moreover, socially interactive learning helped students develop confidence and active engagement. The implications of this study affirm that social learning theory can serve as a strong foundation for teachers to design strategies that promote positive behavior and intrinsic motivation, making it highly relevant for integration into daily classroom practice.

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.