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This community service program addressed the limited capacity of educators to use artificial intelligence in a structured and pedagogically responsible way for textbook development. The program focused on empowering educators through NotebookLM in the Ngabuburit AI 2026 activity. Its objective was to improve participants’ understanding and practical skills in organizing sources, designing textbook structures, developing chapter content, and generating interactive learning media. The program used a participatory training approach consisting of presentation, demonstration, guided practice, discussion, and feedback-based evaluation. The results showed that participants gained a clearer understanding of AI-assisted academic writing workflows and recognized NotebookLM as a useful tool for integrating source analysis, textbook writing, and learning media preparation. The activity also fostered new awareness that artificial intelligence can strengthen, rather than replace, educators’ academic roles in producing more systematic and interactive teaching materials.

This study aims to analyze the novel Laskar Pelangi by Andrea Hirata using a critical hermeneutic approach developed by Jürgen Habermas. The focus of this research is to uncover the critical meaning contained in the novel as a reflection of social reality, especially in the field of education. The method used is descriptive qualitative research with data collection techniques through literature studies and text analysis in the form of excerpts in novels. The results of the study show that the novel Laskar Pelangi not only presents an inspiring story, but also contains criticism of the education system in Indonesia which is still colored by inequality and injustice. In the aspect of communicative action, it was found that there was a dialogical interaction between teachers and students as well as the value of solidarity and strong struggle. However, in the aspect of communication distortion, there is injustice in access to education and a lack of space for poor groups to voice their interests. In addition, the analysis also reveals the existence of ideology and domination, especially economic dominance over education and social systems that oppress the lower groups. On the other hand, the emancipatory interest in this novel is reflected through education as a tool of liberation and the struggle of its characters in fighting against limitations. Thus, this study concludes that the novel Laskar Pelangi has an important role as a social criticism medium that is able to build readers' critical awareness of the reality of education and social inequality that occurs in society.

This article critically examines the training program document for mentors of First Communion candidates at St. Paul Pringgolayan Parish as an institutional religious text. The study employs Peter L. Berger’s theory of the social construction of reality and Michel Foucault’s discourse analysis of power as its analytical framework. Using a qualitative interpretive method, the research conducts an in-depth textual analysis of the document’s narrative structure, normative language, actor relations, and mechanisms of legitimation. The findings reveal that the text is not merely a plan and report of pastoral activities; it also functions as an institutional apparatus that reproduces religious reality while shaping subjects of faith through pedagogical, ritual, and administrative systems. This article argues that pastoral documents can be understood as pastoral social technologies that operate through language to structure religious experience, regulate the distribution of authority, and instill norms of faith practice. These findings contribute to the sociology of religion by demonstrating how faith formation practices at the local level constitute a concrete locus of interaction between the construction of religious meaning and the operation of discursive power.

The increasingly tight competition in the textile and garment industry has led to the optimal management of capital structure and microfinance to increase the value of the company. This study aims to analyze the influence of microfinance and capital structure on the value of the company with profitability as an intervening variable. The method used is a quantitative method with secondary data obtained from the financial reports of textile and garment companies registered in the Indonesian Financial Services Authority for the period 2020–2024. Data analysis was conducted using Structural Equivalence Modeling-Partial Least Square (SEM-PLS). The results of the study indicate that microfinance has a positive and significant effect on profitability and firm value. Meanwhile, capital structure has a positive but insignificant effect on profitability and a negative and insignificant effect on firm value. Profitability is proven to have a positive and significant effect on firm value, but is unable to mediate the influence of microfinance and capital structure on firm value. Thus, the findings of this study confirm that profitability fails to be an integrating variable.

Vocabulary acquisition is a fundamental component of English language learning because it enables students to comprehend texts and develop broader communication skills. In elementary school contexts, however, vocabulary instruction is frequently delivered through traditional teaching practices that are not closely related to students’ real-life experiences. As a result, students often face difficulties in understanding and retaining new vocabulary. One potential approach to address this issue is the integration of local wisdom into learning activities so that the materials become more contextual and meaningful for learners. Therefore, this study aims to examine how the incorporation of local cultural elements can support vocabulary development among elementary school students. This research employed a descriptive qualitative design using a library research method. The data were gathered from various academic sources, including national and international journal articles, scholarly books, and conference proceedings that discuss English language learning, vocabulary development, and the integration of local wisdom in educational practices. The collected data were analyzed through thematic analysis by identifying, comparing, and synthesizing relevant findings from previous studies. The results indicate that the use of local cultural content, such as folklore, traditional practices, and community-based contexts, can significantly support students in understanding and remembering new vocabulary items. Learning materials that reflect students’ cultural backgrounds also contribute to higher levels of learning motivation and classroom participation. In conclusion, integrating local wisdom into English learning can create a more meaningful instructional environment and effectively support vocabulary mastery among elementary school students.

This research is motivated by the low interest of students in learning the Qur'an and Hadith due to the dominance of conventional teaching methods that are considered less engaging. The study aims to examine the role of interactive learning media in increasing students’ learning motivation at Madrasah Ibtidaiyah. The research employs a qualitative literature study approach by collecting credible sources, including journal articles, textbooks, and previous research findings. Content analysis techniques were used to identify patterns, relationships, and important insights from the collected data. The findings indicate that interactive media such as educational videos, interactive animations, dynamic PowerPoint presentations, and digital quizzes significantly enhance students’ interest and motivation in learning. This improvement is reflected in higher levels of attention, curiosity, participation, and engagement during the learning process. In addition, the use of interactive media helps present Qur'an and Hadith concepts in a more concrete, attractive, and enjoyable way, thereby improving students’ understanding of the material. The study implies that integrating technology-based learning media can become an innovative strategy to optimize the teaching and learning process in Islamic elementary education institutions.

The debate concerning the relationship between faith (īmān) and deeds (ʿamal) constitutes one of the central issues in the history of Islamic theology, generating diverse perspectives among theological schools. This study aims to comparatively analyze the epistemology of deeds in three classical Islamic theological traditions: Khawarij, Murji’ah, and Ahlussunnah. The research employs a qualitative approach using the integrative literature review method, examining classical works of ʿilm al-kalām alongside contemporary academic studies. The data were analyzed through data reduction, thematic categorization, and comparative analysis to identify differences in the epistemological frameworks used to understand the relationship between faith and deeds. The findings indicate that the Khawarij developed a textual–legalistic epistemology that considers deeds an essential component of faith, thereby viewing perpetrators of major sins as having exited the state of faith. In contrast, the Murji’ah developed a theological–rational epistemology that separates faith from deeds and postpones judgment regarding major sinners to God’s ultimate decision. Meanwhile, Ahlussunnah formulated an integrative epistemology that combines belief in the heart, verbal affirmation, and deeds within the structure of faith without declaring major sinners as unbelievers. This study highlights that differences in the concept of deeds in Islamic theology are not merely doctrinal but also reflect distinct epistemological frameworks in interpreting religious sources. The findings contribute conceptually to the study of ʿilm al-kalām by offering a comparative mapping of the epistemology of deeds across three major theological traditions in Islam.

This study analyzes the concept of al-Kasb in the view of Muhammad ibn al-Hasan al-Shaybani and assesses the relationship between this concept and contemporary work ethics. With the changes in the modern economic system, which emphasize efficiency, objective rationality, and the achievement of optimal results, various ethical conflicts in the professional and business world have become more apparent. The methodology applied in this study is a literature review with a descriptive-analytic approach, through the analysis of classical and contemporary texts to explore the theological, ethical, and social aspects contained in the concept of al-Kasb, and then conceptually compare it with the characteristics of modern work ethics. The findings of this study show that al-Kasb is not only understood as an economic activity aimed at accumulating wealth, but also as a normative guide that integrates the goals of worship, ethical responsibility, and social obligations in the production process. Work activities are viewed as an individual responsibility that supports the practice of worship and as a collective responsibility to maintain social-economic welfare and harmony. Therefore, al-Kasb provides an integrative ethical foundation that has the potential to enrich and strengthen current work ethics by emphasizing values of integrity, justice, and social responsibility in the economic aspects of life.

Flexible work arrangements (FWAs) have gained increasing attention in contemporary organizations as a strategy to enhance employee-related outcomes in dynamic work environments. This study aims to synthesize empirical evidence on the relationship between flexible work arrangements and employee outcomes through a Systematic Literature Review (SLR) guided by the PRISMA framework. A structured literature search initially identified 200 records, of which 117 peer-reviewed journal articles were retained after excluding non-journal publications. Following full-text screening and eligibility assessment, 45 empirical studies were included in the final analysis. The review reveals that flexible work arrangements are generally associated with positive employee outcomes, particularly job satisfaction, employee well-being, work–life balance, engagement, and performance, although the strength and direction of these relationships vary across organizational contexts and implementation practices. The findings highlight key research trends and methodological gaps, offering valuable insights for future research and practical implications for organizations seeking to effectively implement flexible work arrangements.A

This article examines the concept of faith (iman) in the Qur'an through a semantic approach by comparing the views of Toshihiko Izutsu and al-Raghib al-Asfahani. Faith, as one of the main pillars of Islam, is an essential component reflecting a Muslim's profound belief in God and His teachings. Utilizing semantic analysis, this study aims to delve deeper into the meaning of faith and its contrasts with other concepts in the Qur'an, such as disbelief (kufr), which is often juxtaposed with faith. By exploring the differences between Izutsu's analytical and systematic approach and al-Asfahani's classical methodology, this study provides an in-depth perspective on the structure of faith's meaning and its theological context in Islam. The findings indicate that both Izutsu's and al-Asfahani's approaches offer significant contributions to a comprehensive understanding of faith, encompassing not only belief in the heart but also verbal expressions and actions that reflect such belief. In addition, this study also highlights the importance of a semantic approach in understanding religious texts to deconstruct a more comprehensive understanding of basic concepts in Islam.

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 rapid development of globalization and the acceleration of digital transformation have encouraged organizations to adopt more adaptive and collaborative work practices. In this context, collaborative culture has become a strategic element that plays a crucial role in enhancing organizational effectiveness and competitiveness. This study aims to comprehensively examine the concept, characteristics, forming factors, and theoretical foundations of collaborative culture in modern organizations. The research employs a qualitative approach through a literature review, analyzing reputable national and international journal articles, textbooks, and relevant institutional reports. Data analysis is conducted using a descriptive-analytical technique by synthesizing findings from previous studies. The results indicate that collaborative culture significantly contributes to improved communication quality, work coordination, adaptability, and both individual and organizational performance. Collaborative culture is shaped through the integration of shared vision, open communication, trust, willingness to share resources, collaborative leadership, flexible organizational structures, and the support of collaborative technologies. This study also highlights that the success of digital transformation largely depends on the strength of an effectively internalized collaborative culture. The findings are expected to provide a theoretical reference for organizations and researchers in developing sustainable collaborative culture strategies.

Business competition in the culinary sector continues to increase along with changes in people's consumption patterns towards ready-to-eat food. One product that is quite popular is fried dim sum, which is known for its variety of flavors and relatively affordable prices. In this competitive environment, understanding how consumers perceive product price and quality is crucial for businesses to maintain and increase customer interest in purchasing goods. Consumer perceptions of product price and quality when they choose fried dim sum are the subject of this study. Informants were selected purposively in this study, which used a qualitative and descriptive approach, namely consumers who have purchased and consumed fried dim sum products. Data collection methods included comprehensive interviews, direct observation, and supporting documentation. The collected data were analyzed using an interactive analysis model developed by Miles and Huberman through steps such as data reduction, data presentation, and discovery. The results show that consumers view price as an indicator related to the affordability and suitability of the product value. Price is considered acceptable if it is commensurate with perceived quality. In addition, product quality, including taste, texture, cleanliness, and packaging, is a primary factor considered before making a purchase. Positive perceptions of product quality increase customer trust and encourage repeat purchases. This study concluded that customer perceptions or opinions about price and product quality influence fried dim sum purchasing decisions. Therefore, culinary businesses need to prioritize proportional pricing and maintain consistent product quality to enhance business competitiveness.

This study examines and critically analyzes speaking tasks in Netzwerk Neu A1.1 (Chapters 1–6) by evaluating their alignment with principles of German as a Foreign Language (DaF), Task-Based Language Teaching (TBLT), and the Common European Framework of Reference for Languages (CEFR). Using qualitative content analysis, 26 speaking tasks were identified, coded, and categorized based on task type, CEFR communicative activity (spoken interaction or spoken production), interaction mode, and levels of learner output. The findings show that template-based tasks dominate the textbook, accounting for 69.2% of activities, while guided and free production tasks are relatively limited. Spoken interaction is the most prevalent communicative activity (76.9%), reflecting an emphasis on dialogic formats such as short exchanges and role plays. Although this design provides appropriate structural support for beginner learners, the limited use of open-ended and autonomous tasks may restrict the development of fluency, communicative flexibility, and strategic competence. Interviews with seven learners and two instructors reveal that while tasks are generally perceived as accessible and confidence-building, they are also considered repetitive and insufficiently authentic. The study underscores the need to balance structured support with opportunities for spontaneous language use in beginner DaF textbooks.

The use of Large Language Models (LLMs) in scientific research is becoming increasingly widespread, but presents epistemic risks that are not yet fully understood. This article discusses how the probabilistic mechanisms of LLM can produce outputs that appear correct and justified but are actually dependent on epistemic luck, thus resembling the Gettier case pattern. Through a conceptual study approach, this research clarifies concepts, analytically reconstructs the generative structure of LLM, and conducts a normative analysis of its implications for scientific accountability and authorship. The results of the analysis show that Algorithmic Gettier Cases (AGCs) occur when linguistic coherence deceives users and creates the impression of justification, even though the truth that emerges is statistical coincidence and is not supported by valid causal relationships. This condition poses a serious challenge to the attribution of knowledge and author responsibility in the production of academic texts. To address this issue, this article proposes the principle of Hyper-Justification Obligation, which is the ethical obligation for researchers to actively verify and causally reason every AI output before using it in scientific works. This research provides a theoretical contribution to understanding the epistemic risks of LLM and offers an ethical foundation for academic practice in the era of generative AI.

This study examines the role of social media, particularly Twitter, as a digital da’wah medium that is fast, interactive, and easily accessible to users. However, the extent to which the use of Twitter can enhance communication confidence among students still requires empirical validation. The focus of this research is to evaluate the effectiveness of Twitter use in influencing students’ communication abilities, especially in delivering da’wah messages. The purpose of this study is to analyze the effect of Twitter usage on the communication confidence of students from the 2020 cohort. A quantitative approach was employed using a survey method. Data were collected through a structured, scale-based questionnaire, in accordance with the positivistic research paradigm that emphasizes objective and measurable hypothesis testing. The research population consisted of 62 students, from which 38 respondents were selected using proportionate stratified random sampling to ensure representation across all population strata. The findings reveal that the use of Twitter has a significant effect on the communication confidence of KPI IAI Al-Azis students from the 2020 cohort in delivering da’wah messages. Regression analysis results show a significance value of 0.050 < 0.05, with a Pearson correlation coefficient of 0.614, indicating a strong relationship. These results suggest that the more frequently students engage with Twitter, the greater their confidence in expressing and disseminating da’wah messages through various digital formats such as text, images, and videos. Twitter thus provides an expressive platform that fosters interaction, encourages participation, and strengthens students’ digital da’wah communication skills.

Employee retention is a crucial aspect in maintaining smooth operations and the quality of human resources within an organization. This study aims to analyze the influence of organizational support, career development, job satisfaction, organizational culture, and work-life balance on production employee retention at PT. Lucky Textile Semarang. The study employed a quantitative approach with a survey method, distributing questionnaires to 307 respondents, selected using the Slovin formula, from a population of 1,325 production employees. Data analysis was performed using multiple linear regression using IBM SPSS Statistics 27. The results indicate that organizational support has no effect on employee retention, career development has a positive and significant effect on employee retention, job satisfaction has a positive and significant effect on employee retention, organizational culture has a positive and significant effect on employee retention, and work-life balance has a positive and significant effect on employee retention. These findings confirm that internal factors related to personal development, job satisfaction, and a healthy work culture are the most important factors in employee retention decisions. Therefore, companies need to prioritize career advancement strategies, improve working conditions, and strengthen organizational culture to maintain a competent workforce in the long term.

This study aims to evaluate the effect of Return on Assets (ROA), Debt to Equity Ratio (DER), and Current Ratio on Firm Value, with Sales Growth as a moderator variable, in textile and garment companies listed on the Indonesia Stock Exchange (IDX) for the period 2020-2024. The population of this study consisted of 21 companies, and purposive sampling was used to select 19 companies according to the established criteria. The analytical method used was panel data regression analysis with the help of Eviews version 12.0. The results of this study indicate that Return on Assets (ROA) has a negative and significant effect on firm value, Debt to Equity Ratio (DER) and Firm Size have a positive and significant effect on firm value, Current Ratio (CR) does not have a significant effect on firm value, and Sales Growth cannot moderate the effect of Return on Assets on firm value. The condition of ROA that has a negative effect on firm value can describe a situation where the greater the company's profit in the form of assets, the lower the company's value will be, or conversely, the higher the company's value, the lower the company's assets will be.

The development of social media platforms like TikTok has created new spaces for digital economic activities, including the practive of thrifting, which has now become a trend among the public. However, government policies that block these activities have sparked various public reactions. This study aims to analyze public sentiment regarding the issue of thrifting bans on the TikTok platform using the Bidirectional Long Short-Term Memory (Bi-LSTM) method. This method was chosen because it can understand text context from both directions, allowing it to capture deeper semantic meaning. The dataset consist of 4,000 TikTok user comments collected through a crawling process. The research stages include data preprocessing, sentiment labeling, splitting training and test data, training the Bi-LSTM model, and evaluating performance using accuracy, precision, recall, and F1-score metrics. The research results show that the Bi-LSTM model achieved an accuracy of 86.15%, with stable classification performance and minimal error rate. These findings indicate that Bi-LSTM is effective for sentiment analysis of public opinions on Indonesian language social media, particularly on context specific policy issues. Further development can be carried out by adding pre-trained embeddings or attention mechanisms to improve the model’s performance.

This study aims to analyze the bread production system of UMKM Roti D’One using the Input–Process–Output (IPO) approach and to identify product defects through the application of the Seven Tools of quality control. Data were obtained through interviews, field observations, and production recording. The IPO analysis shows that the production process is carried out manually and relies heavily on worker skills and household-scale equipment. Based on the checksheet, two dominant types of defects were identified—non-soft texture and uneven color—resulting in 30 defective products out of 1,400 breads produced in one week. The Pareto analysis indicates that texture defects contribute the largest portion (56.7%) of total defects. Meanwhile, the fishbone diagram reveals that the main causes originate from raw material inconsistency, equipment limitations, variations in worker skills, and manual production methods. This study suggests improvements related to raw material standards, production consistency, and worker training to reduce defects and enhance the overall quality of Roti D’One products.