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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.

This study presents a comparative analysis of the practice of talaqqi in the science of qira’at in Indonesia and Syria, two significant regions in the transmission of sanad-based Qur’anic recitation. Based on the premise that talaqqi is the primary method for preserving the authenticity of the Qur’an—yet its standards, patterns, and scholarly framework have developed differently across regions this research aims to identify the similarities and differences in requirements, implementation methods, stages, and reference texts used in talaqqi qira’at in both countries. The study employs a descriptive qualitative approach with a multi-site design: in Indonesia at Pondok Pesantren Al-Munawwir Krapyak, Yanbu’ul Qur’an Kudus, Bustanu ‘Usysyaqil Qur’an Demak, and Al-Hikmah Semarang; and in Syria at Muhyiddin Ibn ‘Arabi Mosque, Mujamma’ Sheikh Ahmad Kuftaro, Maghribiyah Mosque, and the Qira’at Department of Bilad Syam University, Al-Fath al-Islamy branch. Data were obtained through in-depth interviews, observation, and document analysis, and then analyzed descriptively and analytically. The findings reveal that both countries require memorization of the Qur’an (30 juz), conduct talaqqi through face-to-face musyafahah, follow the sequential stages of ifrād jam‘ (including mufradat, jama‘ shughra, and jama‘ kubra), and refer to the Syāthibiyyah poem as a foundational text. However, Indonesia tends to focus on qira’at sab‘ah within the pesantren system, with simpler entry requirements and reliance on the practical manual Faidhul Barokat. In contrast, Syria emphasizes qira’at ‘asyrah with stricter selection standards, implementation in mosques and universities, recitations accompanied by evidence from Syāthibiyyah and ad-Durrah, and extensive support from various commentaries and jam‘ al-qirā’āt muṣḥafs. These findings reinforce the role of Indonesian pesantren in the global qira’at tradition and provide a basis for evaluating and developing a more integrative talaqqi qira’at curriculum that balances theoretical understanding and practical mastery.

This study examines Fazlur Rahman’s double movement paradigm as a methodological framework for renewing contemporary Islamic thought. The background of this research lies in the ongoing crisis of Islamic epistemology, marked by the dominance of textual-literal interpretations that are detached from historical context, as well as modernist approaches that often lack strong Islamic methodological foundations. This condition has weakened the ability of Islamic thought to respond to modern social, ethical, and intellectual challenges. This research employs a qualitative approach using library research. The primary data consist of Fazlur Rahman’s major works, including Islam, Major Themes of the Qur’an, and Islam and Modernity, while secondary data are drawn from academic journals, books, theses, and previous studies discussing his thought. Data were analyzed through content analysis and interpretative analysis to identify key concepts, methodological patterns, and their implications for contemporary Islamic thought. The findings show that Fazlur Rahman conceptualizes the Qur’an as a source of universal moral values rather than a static legal code. His double movement method emphasizes understanding the Qur’anic text within its historical context and reapplying its moral principles to contemporary realities. This approach positions Rahman within the framework of Islamic neo-modernism, bridging classical Islamic tradition and modern intellectual demands. The study concludes that the double movement paradigm offers a relevant epistemological foundation for renewing Islamic thought, particularly in Qur’anic interpretation, Islamic law, and Islamic education, by promoting contextual, ethical, and critical reasoning.

Poverty remains a multidimensional crisis requiring holistic interventions that integrate spiritual and economic dimensions. This study aims to analyze forms of spiritual support in pastoral counseling for the poor and identify mechanisms through which such support contributes to the sustainability of economic empowerment programs. Using a qualitative approach with systematic literature review, data were collected from academic journals, theological texts, and previous research published between 2006-2025, analyzed through thematic content analysis. The findings reveal five integrated forms of spiritual support: spiritual-theological support for restoring meaning and hope, transformative psychosocial accompaniment integrating counseling techniques with faith values, communal empowerment based on Christian values creating sustainable support ecosystems, practical life skills guidance and economic capacity development, and advocacy facilitating access to structural resources. These forms contribute to sustainability through five mechanisms: mindset transformation from helplessness to self-agency, strengthening resilience and adaptive capacity, forming social networks and social capital, integrating Christian values in work ethics, and establishing continuous mentoring systems with participatory evaluation. This study confirms that spiritual support is an essential element determining the long-term success of economic empowerment programs for the poor.

This article theologically analyzes the Christian doctrine of creation, highlighting the nature of God as Creator and its implications for human understanding of the world, the self, and the relationship with God. Creation is understood not merely as the initial event of the cosmos but also as God’s continuous act of sustaining, preserving, and directing all creation toward His divine purpose. Through a study of biblical texts and the reflections of classical theologians such as Augustine, Aquinas, and Calvin, this paper explores the concepts of creatio ex nihilo, the orderliness of creation, and the dignity of humanity as the image of God (imago Dei). This article also outlines how the doctrine of creation provides an ethical foundation for ecological responsibility, the sanctity of life, and respect for others in the context of contemporary challenges marked by moral crises and environmental degradation. The analysis shows that the doctrine of creation remains relevant for today’s faith, emphasizing that the world derives its meaning from God and that humanity is called to participate with God in caring for creation. Thus, this study offers a comprehensive understanding of the significance of the doctrine of creation for Christian faith and ethical practice in contemporary life.  

This study examines the commodification of women’s bodies within environmental campaign content on digital media, focusing on a video produced by Pandawara Group that addresses textile waste issues. Although the campaign aims to raise ecological awareness, the visual emphasis on a female body particularly the exposure of a bra redirected public attention from environmental messages to sexualized interpretations in the comment section. This research aims to analyze how such meaning shifts occur through representation and audience interpretation. Using Sara Mills’ Critical Discourse Analysis, this study focuses on subject–object positioning and reader positioning in both visual and verbal elements of the content. The data consist of one campaign video and selected public comments on TikTok, analyzed qualitatively. The findings reveal that women are positioned as visual objects rather than active subjects within the discourse, while audiences are constructed as observers of the female body instead of interpreters of environmental issues. The recurring use of the phrase “content that unites the nation” further legitimizes sexualized readings and reinforces dominant gendered discourse. Importantly, the study finds that such interpretations are reproduced not only by male audiences but also by female users, indicating the internalization of dominant visual culture in digital spaces. This study contributes to gender and media studies by demonstrating that environmental campaigns are not free from gender bias and that visual representation plays a crucial role in shaping unintended meanings within social campaigns.

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.

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.

This study discusses the position of women in the creation of humankind based on Amina Wadud's feminist hermeneutics perspective as an effort to critique classical interpretations of the Qur'an that tend to be gender biased. For centuries, the tradition of interpretation dominated by male exegetes has shaped a theological understanding that places women in a subordinate and inferior position, especially in the narrative of human creation. Amina Wadud, as one of the contemporary Muslim feminists, offers a feminist hermeneutics approach that emphasizes the importance of historical context, linguistic analysis, and women's experiences in understanding the Qur'anic text in a more fair and comprehensive manner. This study specifically examines Wadud's interpretation of QS. An-Nisa 'verse 1, which states that humans were created from nafsun wahidah (one soul). Wadud asserts that this concept indicates the equality of origin between men and women, thereby rejecting the patriarchal view that women were created from men's ribs as second-class beings. The research method used was qualitative with a literature study approach, through analysis of Amina Wadud's works and relevant academic literature. The results of the study show that Wadud's feminist hermeneutics not only serves as a critique of classical interpretations that are laden with patriarchal bias, but also provides a strong theological basis for the recognition of gender equality in Islam. This approach opens up space for women to play an equal role in the social, political, and religious spheres. Thus, Amina Wadud's thinking contributes significantly to building a more inclusive, egalitarian, and gender-equitable understanding of Islam in accordance with the universal values of the Qur'an.

This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of efficient information retrieval systems. The method involves algorithm testing with statistical analysis of execution time, accuracy, and code length. Results indicate that DeepSeek has an average execution time of 28.74 seconds, slightly slower than OpenAI’s 28.49 seconds. However, DeepSeek’s accuracy (85.88%) surpasses OpenAI’s (85.03%). The average number of code characters is identical at 96.35 characters. The study concludes that DeepSeek excels in accuracy, while OpenAI is faster in certain cases, providing valuable insights for developers in selecting AI models for information retrieval applications.

The growing interest in learning the Japanese language in Indonesia, driven by popular culture such as anime, creates a need to understand the effectiveness of different learning media. The non-uniform effectiveness of media for each individual poses a major challenge. Therefore, this study aims to analyze the effectiveness of both anime and textbooks by segmenting learner profiles and identifying key determinants of success using an artificial intelligence approach. This research employed a quantitative method through a questionnaire survey of 120 respondents. The data were analyzed in two stages: the K-Means Clustering algorithm was used to group respondents into learner profiles, and the Decision Tree algorithm was used to identify the most significant factors that differentiate these profiles. The analysis successfully identified three distinct learner profiles: "Intensive & Adaptive Learner," "Flexible Learner," and "Passive Learner." The decision tree revealed that the perception of textbook effectiveness and the frequency of anime use are the strongest predictors in determining a learner's profile, more so than theoretical learning style preferences. It is concluded that media effectiveness is highly dependent on the learner's behavioral and perceptual profile, which underscores the importance of a personalized approach in language education technology.