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This study discusses the implementation of the Yanbu'a Method at Pondok Pesantren Tanwirul Qulub. The education sector today faces various changes influenced by the rapid advancement of knowledge, technology, and the impact of globalization, which also affects religious education, particularly in the teaching of the Qur'an. One of the main obstacles in Qur'anic teaching is the use of methods that do not align with the tajwid or makhorijul huruf as taught by Prophet Muhammad SAW. This can lead to critical errors in reading the Qur'an. Therefore, this study aims to explore the challenges that arise in the process of teaching the Qur'an using the Yanbu'a Method at Pondok Pesantren Tanwirul Qulub, which is applied by KH. Agus Musta'in Ilyas. This research uses a qualitative approach based on Max Weber's Verstehen theory. The results show that the obstacles in implementing the Yanbu'a Method include a lack of coordination among teachers, significant differences in students' abilities, low student discipline in muroja'ah, and students' activities outside Qur'anic learning hours. To optimize the implementation of this method, it is recommended to provide teacher training and workshops, group students based on their abilities, strengthen evaluation and monitoring, establish consistent learning schedules, and increase student motivation.

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.

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 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.

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.  

The waste problem is still an environmental issue that requires serious attention, especially regarding the low level of public awareness in sorting organic and inorganic waste at its source. Environmental education needs to be given from an early age to form attitudes and behavior that care for the environment in a sustainable manner. This community service activity aims to increase the understanding and awareness of grade III–IV elementary school children towards sorting organic and inorganic waste through a game-based learning approach. The activity was carried out in the Bojongsari area, Depok, involving 10 children as participants. The methods used include delivering interactive material, waste sorting competitions through the Eco-Race Little game, and making mini posters with environmental themes. The results of the activity showed that around 90% of participants were able to differentiate and sort organic and inorganic waste correctly. Apart from increasing cognitive understanding, this activity also fosters an attitude of cooperation, creativity and concern for the environment. Thus, the Little Eco-Race activity is considered effective as a fun and applicable environmental education model for elementary school age children.

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.

This study aims to examine in depth the role of Islamic Religious Education (PAI) teachers as agents of tolerant da‘wah based on Islam Nusantara within multicultural elementary school settings. The research was conducted at SDN 2 Margasari, Pasawahan District, Purwakarta Regency, West Java, which represents the social, cultural, and religious diversity of students. This study employed a qualitative approach using a case study method to obtain a comprehensive understanding of PAI learning practices oriented toward tolerance values. Data were collected through in-depth interviews with PAI teachers and the school principal, direct observations of classroom PAI learning activities, and document analysis of religious programs and activities implemented at the school. The results indicate that PAI teachers play a strategic role in instilling values of tolerance, religious moderation, mutual respect, and appreciation of local wisdom through the application of dialogical, contextual, and inclusive learning methods. The learning strategies applied include the use of local stories and traditions that align with the values of Islam Nusantara, as well as the habituation of tasamuh (tolerance) attitudes in daily interactions within the school environment. This study recommends strengthening the competencies of PAI teachers in understanding and applying the Islam Nusantara approach, as well as integrating values of religious moderation into the elementary school curriculum as a systematic effort to build a culture of tolerance in multicultural educational settings.

High school student’s poor understanding of mathematics remains a common problem, particularly in terms of learning motivation and independent problem-solving skills. This situation is also experienced by students at Nurul Jadid High School, where mathematics lessons tend to be perceived as difficult and boring. This community service activity aims to improve student’s mathematical understanding through the implementation of the Fun Arithmetic game-based tutoring program, designed to be interactive and fun. The methods used in this activity include planning, implementation, and evaluation. The activity was implemented through group tutoring using an educational math game that integrates the concepts of counting, problem-solving, and healthy competition between students. Evaluation was carried out through observation, and pre- and post-activity comprehension tests. The results of the activity showed an increase in students' understanding of mathematical concepts, as indicated by an increase in final test scores compared to the initial test. In addition, students demonstrated a more positive, enthusiastic, and active attitude in participating in mathematics learning. Thus, the Fun Arithmetic game-based tutoring program has proven effective as an alternative learning strategy to improve students' mathematical understanding of Nurul Jadid High School and create a more interesting and enjoyable learning atmosphere.

User reviews on the Shopee e-commerce platform represent an important source of information for understanding consumer perceptions of products and services. Sentiment analysis is commonly applied to classify user opinions into positive, neutral, and negative sentiment categories based on textual data. This study aims to analyze the performance of the Long Short-Term Memory (LSTM) method in sentiment classification of Shopee user reviews. The dataset used in this study consists of Indonesian-language user reviews that have undergone preprocessing stages, including case folding, text cleaning, tokenization, and stopword removal. The LSTM model was trained using preprocessed text represented as word sequences. Model performance was evaluated using overall accuracy and class-wise classification results. The experimental results indicate that the LSTM method achieved an overall accuracy of 87.62%. In addition, the classification performance for the positive sentiment class reached 95.27%, the neutral class achieved 4.96%, and the negative class reached 74.26%. These results demonstrate that the LSTM method performs well in classifying sentiment in Shopee user reviews, particularly for positive sentiment. This study is expected to provide insights and references for the application of deep learning methods in sentiment analysis of Indonesian e-commerce review data.

The Muhammadiyah Orphanage in Pamekasan faces major challenges in developing life skills and digital education for its children due to limited facilities, teaching staff, and conventional learning methods. To address these issues, an edutainment-based approach and digital pedagogy intervention were implemented to enhance learning quality, motivation, and preparedness for future social and technological challenges. The activities included workshops and training on Digital Pedagogy and Edutainment learning materials, as well as simulations and role-plays using a Game-Based Learning approach, followed by evaluations and participant plan presentations. The program significantly improved the wards’ digital literacy, particularly in personal security (online safety), digital ethics (cyber ethics), gadget usage, and information management, with the average score rising from 2.84 to 4.10 on a 5-point scale, surpassing the target of 75% of participants in the “good” category. Beyond cognitive aspects, the program also boosted motivation, engagement, communication, problem-solving, and independence. Caregiver training was also provided to ensure program sustainability. It is recommended that the orphanage integrate the Game-Based Learning Digital Safety module into its non-formal curriculum, enhance caregiver capacity through advanced training, and improve IT infrastructure.

Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.

This article discusses community service aimed at improving students' mathematical understanding at MI Nurul Mun'im through learning assistance assisted by the Astromath game. The main problem faced is low student motivation and understanding in mathematics, caused by less engaging learning methods. The purpose of this activity is to provide a solution by using innovative educational technology, specifically the Astromath game, which is designed to develop students' mathematical abilities in an interactive and fun way. The method used in this community service is a direct mentoring approach that involves students in game-assisted learning sessions, with mentoring from lecturers and students. This activity was carried out over several meetings involving the direct use of the Astromath game in class. The results obtained showed an increase in student understanding of mathematics material, especially in terms of basic arithmetic operations, as well as a significant increase in learning motivation. This is indicated by an increase in the average pre-test score from 58.8 to 88.9 average post-test score. In addition, students were also more active and interested in participating in mathematics lessons after being involved in learning sessions using this game. The use of the Astromath game has proven effective in making mathematics learning more interesting and improving student learning outcomes at MI Nurul Mun'im.

The student teaching internship program in the Zakat and Waqf Management Study Program within the Sharia Marketing Management course, Faculty of Islamic Economics and Business, UIN Sayyid Ali Rahmatullah Tulungagung, was implemented to strengthen students’ pedagogical and conceptual competencies through direct classroom experience. The program aimed to encourage active student engagement by integrating theoretical knowledge with practical teaching application. Key activities included reviewing the Semester Learning Plan (RPS), preparing a sample PowerPoint (PPT) learning material, delivering classroom presentations, observing the learning process, and conducting reflective evaluations from September to December 2025. The methods applied consisted of participatory observation, teaching practice, documentation, and systematic self-reflection. The results indicate improvements in teaching competence, conceptual understanding, and students’ soft skills, despite challenges such as low audience participation and limited references. Overall, the findings highlight the effectiveness of experiential learning in internalizing prophetic ethical values, understanding the halal marketing mix, and comprehending Halal Product Assurance (JPH) regulations. This program contributes positively to curriculum strengthening and supports the development of Indonesia’s halal industry, while enhancing students’ readiness as agents of sharia economic development.

The development of national character is a strategic agenda in addressing moral, social, and cultural challenges in the era of globalization. Strengthening fundamental values derived from Islamic teachings is considered an important solution, particularly the values of obedience to Allah SWT, the spirit of competing in goodness (fastabiqul khairat), and work ethic. These three values play a crucial role in shaping individuals who are faithful, possess noble character, are responsible, and have high competitiveness. However, the reinforcement of these values in the practice of Islamic Religious Education (PAI) at the elementary, junior high, and senior high school levels has not yet been optimally and systematically integrated. Therefore, this article aims to analyze the concepts, urgency, and strategies for integrating the values of obedience, competition in goodness, and work ethic into PAI learning. The research method employed is a literature study using a qualitative-descriptive approach through the analysis of scientific literature, curriculum documents, and relevant concepts of Islamic education. The findings indicate that the value of obedience serves as a spiritual and moral foundation for students, the value of fastabiqul khairat encourages active, collaborative attitudes oriented toward positive contributions, while work ethic strengthens discipline, responsibility, and productivity. The integration of these three values can be implemented through the development of teaching materials, the application of contextual learning methods, educators’ role modeling, and the cultivation of a religious school culture. The implications of this study affirm that integrating these values into PAI significantly contributes to the formation of a young generation with integrity and readiness to build a dignified nation.

This sociolinguistic study examines patterns of regional language interference in formal Indonesian usage across bilingual areas of Indonesia. Through a mixed-methods approach, this research analyzes oral and written data from 240 participants across three strategic bilingual regions: Javanese-Indonesian, Sundanese-Indonesian, and Batak-Indonesian. Data were collected through structured interviews, ethnographic observations, and corpus analysis of formal documents. Quantitative analysis employed linguistic corpus software to identify frequency patterns and interference distribution, while qualitative analysis applied ethnography of communication approaches to understand social contexts and functions of interference in communicative interactions. Findings reveal systematic interference typologies that vary according to linguistic domains. Phonological interference demonstrates the highest resistance to formal register constraints (78% consistency), with Batak-Indonesian speakers showing the highest interference rates (85%), followed by Javanese-Indonesian (74%), and Sundanese-Indonesian (71%). Lexical interference occurs in 65% of samples with significant variation based on communication domains, where Sundanese-Indonesian shows the highest rates (72%). Morphological interference is found in 52% of cases, particularly in affixation and reduplication systems. Syntactic interference shows the highest sensitivity to situational formality, decreasing from 45% in semi-formal communication to 28% in strict formal contexts. Research implications indicate the need for reorienting language policy from corrective approaches toward recognizing interference productivity. Language policies should develop flexible standards that accommodate regional variations and promote positive attitudes toward multilingualism. In educational contexts, integration of contrastive approaches in Indonesian language learning is required, along with development of instructional materials sensitive to students' linguistic backgrounds, and teacher training on managing productive versus corrective interference.This research contributes to Indonesian sociolinguistics through providing comprehensive empirical databases, developing innovative theoretical frameworks, and replicable methodologies for language contact analysis. Findings confirm that regional language interference in formal Indonesian constitutes a productive phenomenon reflecting Indonesia's multilingual vitality. Approaches that recognize productive aspects of interference while optimizing formal communication effectiveness become key to developing language strategies responsive to contemporary multilingual Indonesian realities.

Education plays a vital role in shaping character and developing individual potential, with the ability to collaborate being crucial in this global era. This study focuses on the low level of student collaboration and suboptimal Aqidah Akhlak learning outcomes at MA Muhammadiyah 1 Ponorogo, caused by a lack of innovative learning methods. Therefore, this study aims to examine the application of the Project-Based Learning method as a solution to improve student collaboration and learning outcomes. This study aims to: (1) describe the application of the Project-Based Learning method in teaching Aqidah Akhlak in class XI of MA Muhammadiyah 1 Ponorogo, (2) determine the impact of the Project-Based Learning method on student collaboration and learning outcomes, and (3) determine student perceptions of the application of the Project-Based Learning method in teaching Aqidah Akhlak. This study used a qualitative approach with descriptive methods. Data were collected through observation, interviews (with the principal, vice principal for curriculum, Aqidah Akhlak teacher, and class XI students), and documentation. The data analysis technique used was the Miles and Huberman model, which includes data reduction, data presentation, and drawing conclusions. The results of the study show that: (1) the implementation of the Project Based Learning method is carried out through structured steps, encouraging active cooperation between teachers and students, with an emphasis on equal roles and responsibilities of each, (2) the Project Based Learning method has a positive impact on increasing collaboration, educational outcomes, and the development of students’ knowledge, attitudes, and skills as a whole, with changes in behavior that are seen in depth, (3) students have a positive view of the Project Based Learning method because it is considered more interesting, interactive, meaningful, and relevant to everyday life, which can be seen from increased motivation and active participation.

Training on creating Heyzine-Canva-based e-book learning media through the Subject Teacher Working Group (MGMP) aims to improve teachers' professional competence in facing educational demands and digital technology integration. This training activity is designed using demonstration, hands-on practice, and group discussion methods, so that it can accommodate various levels of technology mastery among teachers. Through this training, teachers are guided to develop interactive e-books, learning videos, and innovative digital quizzes using the Heyzine and Canva platforms. The training results show a significant improvement in teachers' skills in utilizing digital media, confidence in integrating technology into learning, and motivation to continue innovating. Additionally, this training also encourages collaboration among teachers and builds a professional network that supports continuous development. Challenges faced, such as variations in technology skills and device limitations, are addressed through ongoing mentoring and further training. This training contributes to improving the quality of learning, student engagement, and supports the achievement of national education goals in the digital era.

Children living in orphanages face various psychological pressures, such as the loss of attachment figures, unstable social dynamics, and difficulty expressing emotions adaptively. These conditions require appropriate coping strategies to build emotional resilience. This community service activity utilizes a Service Learning (SL) approach, which integrates academic learning with community service. It aims to provide psychoeducation on emotions and coping strategies, and implements expressive writing as a means of emotional processing. The activity methods included interactive lectures, a pretest and posttest to measure understanding, an expressive writing therapy session, and a reflective interview at the end of the activity. Results showed an increase in understanding of emotions and coping strategies, as evidenced by improved posttest scores. Furthermore, expressive writing helped children express previously suppressed emotions, reduced psychological tension, and fostered a sense of relief, calm, and insight into personal problems. Overall, expressive writing has proven effective as a coping strategy in building emotional resilience in orphanage children, and the Service Learning approach has the potential for sustainable application in psychosocial support programs.

Tourism is one of the sectors that plays an important role in boosting economic growth through travel activities and destination exploration. Tourists' preferences for nature-based tourism options, such as mountain hiking or beach tourism, are influenced by various factors, ranging from personal experiences and recreational interests to social characteristics. Therefore, a technology-based approach is needed to predict destination choice tendencies more accurately. As artificial intelligence technology develops, deep learning methods have been widely used in classification processes due to their ability to process large amounts of data and recognize complex patterns. In this study, a Multilayer Perceptron (MLP) model is used to classify tourists' preferences between mountain or beach destinations based on a survey dataset. The research stages include data processing, data splitting using a train-test split, model training, and performance evaluation using accuracy, precision, recall, and F1-score. The test results show that the MLP model is capable of achieving an accuracy rate of 99%, confirming that deep learning methods are effective in automatically mapping tourism preference trends. This research is expected to serve as a basis for the development of more personalized travel destination recommendation systems, as well as to support tourism management in formulating targeted promotional strategies.