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The book Uqūd al-Lujjayn fī Bayān Ḥuqūq az-Zaujayn by Sheikh Nawawi al-Bantani is one of the classical texts that is very popular among Islamic boarding schools and the Muslim community of the archipelago. However, in contemporary discourse, this book is often the target of criticism from Muslim feminists who accuse it of being full of gender bias and patriarchal. This criticism arises because of discussions about the wife's obligation to obey her husband, the prohibition of leaving the house without permission, and the husband's permissibility to reprimand his wife who is considered nusyūz. This paper attempts to conduct a philological and hermeneutic analysis of the text Uqūd al-Lujjayn by reviewing the historical, methodological, and fiqh reference sources of Sheikh Nawawi al-Bantani. This study found that the patriarchal character in the book is pseudo (pseudo), not ideological. Sheikh Nawawi actually wrote this book within the tradition of Islamic jurisprudence (fiqh akhlaqiyyah), not as a legitimation of male power over women. Through a philological approach, it was found that the text's structure and selection of hadith in this book aimed to educate household morals, not to reinforce the patriarchal system. Therefore, accusations of gender bias against Sheikh Nawawi require methodological reexamination to avoid falling into ahistorical ideological readings.

Language barriers represent one of the most significant obstacles to educational equity and access worldwide. This study investigates the application of Natural Language Processing (NLP) technologies in multilingual educational contexts to facilitate cross-linguistic learning and improve educational outcomes for linguistically diverse student populations. We implemented and evaluated a comprehensive NLP-powered multilingual learning platform across 47 educational institutions in 12 countries, serving 8,450 students speaking 23 different languages. Our experimental framework integrated machine translation, speech recognition, multilingual content generation, and adaptive language learning algorithms. Results demonstrate that NLP-enhanced multilingual education improved student comprehension by 43.6% (p<0.001), increased participation rates by 67.8%, and reduced achievement gaps between native and non-native speakers by 52.4%. Students using NLP-assisted learning tools achieved test scores averaging 78.3% compared to 54.7% for control groups. However, challenges persist regarding cultural context preservation, idiomatic expression handling, and equitable performance across language families. This research provides evidence that NLP technologies can effectively democratize education across linguistic boundaries while identifying critical areas requiring continued development.

The integration of artificial intelligence chatbots as virtual teaching assistants (VTAs) represents a transformative shift in student support services within higher education. This study investigates the implementation, effectiveness, and impact of AI-powered chatbots in providing academic support, administrative assistance, and personalized guidance to university students. Employing a longitudinal mixed-methods approach over 18 months, this research analyzed data from 2,347 students across 15 universities that deployed VTA systems, examining interaction patterns, student satisfaction, learning outcomes, and cost-effectiveness. Quantitative analysis of 487,392 chatbot interactions revealed that VTAs successfully handled 78.4% of student queries without human intervention, with response times averaging 3.2 seconds compared to 4.7 hours for traditional support channels. Qualitative findings from focus groups and interviews highlighted students' appreciation for 24/7 availability, immediate responses, and non-judgmental interactions, while also revealing concerns about empathy limitations, complex query handling, and the desire for human connection in critical situations. The study demonstrates that VTAs significantly improve support service accessibility and efficiency while reducing operational costs by an average of 43%. However, optimal implementation requires careful integration with human support staff, continuous training of AI systems, and attention to equity issues in digital access. This research contributes to understanding how AI can augment rather than replace human educators, offering evidence-based recommendations for implementing VTA systems that enhance student success while maintaining the human elements essential to quality education.

This study aims to analyze the legal accountability of three judges of the Surabaya District Court who were proven to have been involved in bribery practices during the examination process of a case that resulted in the acquittal of Gregorius Ronald Tannur, the son of Edward Tannur, a former member of the Indonesian House of Representatives from the National Awakening Party (PKB). The study focuses on identifying the forms of legal responsibility that may be imposed on judges who receive bribes, as well as examining the abuse of judicial authority that influenced the issuance of the court decision. This research employs a normative juridical method using a statutory and case approach, through an analysis of Law Number 48 of 2009 on Judicial Power, Law Number 31 of 1999 in conjunction with Law Number 20 of 2001 on the Eradication of Corruption Crimes, Decision of the Surabaya District Court Number 454/Pid.B/2024/PN SBY, and the Joint Decree of the Supreme Court and the Judicial Commission of 2009 concerning the Code of Ethics and Guidelines for Judicial Conduct. The findings indicate that judges proven to have accepted bribes may be subject to criminal sanctions in the form of imprisonment and/or fines, ethical sanctions imposed by the Judicial Commission, as well as administrative sanctions in the form of dishonorable dismissal, and that court decisions rendered by judges involved in bribery may be challenged through available legal remedies. This study underscores the importance of strengthening internal and external oversight mechanisms and enhancing transparency in judicial proceedings to maintain and restore public trust in the judiciary.

This study aims to evaluate the effectiveness of various doses of 6.25% Poly Aluminium Chloride (PAC) and 0.1% polymer flocculant in reducing Total Suspended Solids (TSS) and assessing pH changes in coal stockpile wastewater at PT PLN Nusantara Power UP Paiton Unit 9. Stockpile wastewater typically contains high levels of suspended solids originating from water spray activities that carry fine coal particles. The coagulation–flocculation process was performed using the jar test method with PAC dosages of 35 ppm, 50 ppm, and 65 ppm, along with flocculant dosages of 6 ppm and 7 ppm. pH and TSS were analyzed before and after treatment to assess process effectiveness. The results indicate that a PAC dosage of 35 ppm combined with a 6 ppm flocculant achieved the highest TSS removal efficiency of 98.15%. Increasing PAC dosage resulted in reduced performance due to overdosing effects, leading to charge destabilization and impaired floc formation. These findings highlight the importance of optimizing coagulant dosage to improve stockpile wastewater quality for safe reuse in operational activities.

The integration of Artificial Intelligence (AI) in higher education has led to the increasing use of AI-powered adaptive learning models that support personalized and data-driven learning. However, studies examining preservice teachers’ perceptions of these models remain limited, despite their important role in future classroom implementation. This study aims to explore preservice teachers’ perceptions of AI-powered adaptive learning in higher education, focusing on perceived usefulness, learning adaptivity, learning experience, and perceived concerns. A descriptive qualitative research design was employed involving 53 preservice teachers from various universities. Data were collected using a Likert-scale questionnaire and open-ended questions. Quantitative data were analyzed descriptively using percentage distributions, while qualitative data were examined through simple thematic analysis. The findings reveal that preservice teachers generally demonstrate positive perceptions of AIpowered adaptive learning, particularly in terms of learning effectiveness, adaptability, and engagement. Nevertheless, concerns related to over-reliance on AI, ethical issues, and data privacy were also identified. These results indicate that preservice teachers show readiness to engage with AI-supported learning, while highlighting the need for teacher education programs to promote responsible and pedagogically informed AI integration.

The state of law and democracy are two concepts that are interrelated in the mechanism of managing the government of a country. Democracy provides the foundation for creating equality and equality of rights for all citizens, while the state of law emphasizes that power in a country must be subject to the rule of law, not the will of a particular individual or group. This research is a normative legal research with a normative juridical approach that seeks to explore the harmony of legal rules with applicable norms. The results of the study show that from the colonial period to the reform era, a lot of progress has been made in strengthening the principles of the rule of law, both formally and substantially. The 1998 reform was a momentum that marked a strong commitment to make Indonesia a democratic country of law, where every citizen has rights and obligations protected by law. In Indonesia, democracy has gone through various phases from the parliamentary era, Guided Democracy, New Order, to the reform era that provides greater space for people's involvement.

Background: Criminal justice reform has become a crucial global issue in maintaining the balance between the protection of individual rights and state authority, particularly amid the increasing complexity of law enforcement and the risk of abuse of power. Objective: This study aims to analyze the relationship between the principles of due process of law, legal accountability, and the rule of law within criminal justice systems, as well as to compare their implementation in common law and civil law systems. Methods: This research employs a normative and comparative approach through the analysis of legal regulations, criminal justice practices, case studies of procedural violations, and cross-country comparisons, supported by interviews with academics and legal practitioners. Results: The findings indicate that although the principles of due process, legal accountability, and the rule of law are widely recognized, their implementation still faces significant challenges, including weak oversight, procedural inconsistencies, and limited institutional capacity. The comparative analysis also reveals a growing convergence between common law and civil law systems in adopting human rights-based standards, despite differences in procedural approaches. This study concludes that the holistic integration of these three principles is essential to establish a fair, transparent, and accountable criminal justice system.

The rapid development of smartphone technology today creates challenges for consumers and manufacturers in determining an objective price range based on highly varied technical specifications. This study aims to implement the Random Forest algorithm in classifying smartphone price ranges into four main categories, namely low, mid-range, high, and flagship. The research method was carried out systematically through the stages of loading a dataset of 2,000 entries, exploratory data analysis (EDA) to ensure data integrity, and model training with a training and testing data split of 80:20. The results showed that the Random Forest model achieved a significant overall accuracy rate of 89%. Based on feature importance analysis, it was found that RAM capacity was the most dominant determining factor, contributing 47% to prediction accuracy, followed by battery power and screen resolution as supporting features. These findings have strategic implications for manufacturers to prioritize memory capacity upgrades in determining product pricing in the market, as well as providing guidance for consumers in assessing the fairness of a device's price based on its technical capabilities.

The integration of Artificial Intelligence (AI) into educational settings, particularly in formative assessments, offers significant benefits in terms of personalized learning, real time feedback, and increased efficiency. However, the successful implementation of AI driven formative assessments depends not only on technological capabilities but also on socio cultural and organizational factors that shape its adoption. This study explores the socio technical factors influencing the use of AI in formative assessments, emphasizing the importance of considering cultural diversity, institutional culture, and educators' beliefs. AI technologies, while powerful in automating grading and providing personalized assessments, often face limitations in addressing complex student responses that require human judgment. Furthermore, cultural factors, such as students' prior exposure to technology and different cultural attitudes towards AI, play a critical role in the acceptance and effectiveness of these tools. Organizational factors, including leadership support, digital literacy, and the readiness of institutions to adopt AI, are also key determinants in the successful implementation of AI systems in education. Teachers’ beliefs about assessment influence their acceptance and use of AI tools, highlighting the need for professional development and training to ensure that AI enhances pedagogical goals rather than replacing human expertise. The study concludes that the alignment of technology, culture, and assessment beliefs is essential for the effective use of AI driven formative assessments in educational settings. Recommendations for educational institutions include adopting a socio technical approach to AI integration, with a focus on providing resources, training, and fostering a culture of innovation. Future research directions should focus on expanding studies to diverse educational contexts, conducting longitudinal research on AI’s impact on learning outcomes, and exploring additional socio technical frameworks to guide AI adoption in education.

This study presents an ethical framework for learning analytics aimed at addressing key challenges related to the collection and use of student data in higher education. Learning analytics, a powerful tool for improving student outcomes and institutional decision-making, has raised ethical concerns regarding data privacy, transparency, fairness, and equity. The proposed framework integrates four core principles: data privacy, informed consent, transparency, and fairness, ensuring that institutions use learning analytics responsibly while safeguarding student rights. A central feature of the framework is its focus on promoting equitable decision-making, minimizing bias, and preventing the reinforcement of existing inequalities in algorithmic and data-driven decisions. The framework also emphasizes the importance of continuous ethical oversight, holding institutions accountable for ethical data use and adapting practices as technology evolves. The study concludes that the framework offers a comprehensive solution to the ethical challenges in learning analytics, providing institutions with a practical guide to embedding ethical principles in data practices. Additionally, the research discusses its potential to foster fairness, equity, and transparency in decision-making processes. Future research is recommended to refine the framework and explore its application across various educational contexts, ensuring responsible and inclusive use of learning analytics.

The development of artificial intelligence has revolutionized higher education by increasing the efficiency and personalization of learning, but it has also posed a major challenge in the form of a decline in students' critical thinking skills due to their dependence on technology. Therefore, an in-depth philosophical study through the post-positivism, critical theory, and constructivism paradigms is needed to understand its impact on cognitive and epistemological processes. This study aims to analyze how these three paradigms guide the development of critical thinking in the context of AI. It uses a descriptive-analytical method based on secondary data from academic literature such as journals and books that have been critically synthesized. The findings show that post-positivism views AI as a tentative critical realism tool for empirical verification. Critical theory critiques power relations, ideology, and the ethics of technological domination. Constructivism emphasizes the construction of social knowledge through human-centered design that supports creativity and collaboration. The positive impacts of AI include instant feedback and content adaptation, while the negative impacts include social isolation, weak digital literacy, and data privacy. Therefore, the implication is the wise use of AI with the assistance of teaching staff to strengthen reflective analysis, ethical literacy, and paradigm adjustments in accordance with the exact or social sciences to create multidimensional learning in the digital era.

The KRI Nagapasa Class is a submarine of the Indonesian Navy that has the capability to deploy sea mines, launch anti-surface missiles, and release countermeasure torpedoes. However, to face the increasingly complex dynamics of the regional strategic environment, it is necessary to increase combat power through the installation of a Sub Launch Missile weapon system. Until now, the Indonesian Navy does not have a submarine equipped with this underwater missile, especially in the Chang Bogo class. This study aims to analyze and determine the most appropriate choice of Sub Launch Missile missiles to support submarine training and operations. The method used is the Analytic Hierarchy Process (AHP) with a quantitative approach. The results of the ranking of five respondents showed that the SM-39 Exocet missile was in first place with a value of 0.46424 followed by the CM708UNB with a value of 0.41461 and the UGM-84 Harpoon with a value of 0.12115. The SM-39 Exocet missile was chosen as a priority because it has technical specifications that best meet the operational needs of the Indonesian Navy (TNI AL), as well as significantly contributing to enhancing the deterrence effect and combat capability of the Nagapasa-class submarines.

The integration of artificial intelligence (AI) in forensic investigation has significantly transformed the analysis and authentication of digital evidence. This paper explores the role of AI technologies, specifically machine learning and deep learning algorithms, in examining digital evidence from various sources, including computers, mobile devices, and network systems. We provide an in-depth analysis of current AI-based forensic tools, their efficiency in evidence authentication, and the challenges they face regarding legal admissibility. Our findings indicate that AI-powered forensic systems can detect digital evidence tampering with 94.7% accuracy, drastically reducing analysis time from weeks to hours. However, challenges remain, particularly in areas such as algorithmic transparency, bias prevention, and ensuring the integrity of the chain of custody. This research offers a framework for incorporating AI in forensic laboratories, while also addressing crucial legal and ethical concerns to ensure the admissibility of AI-analyzed evidence in court. These considerations are essential for the widespread acceptance and use of AI in forensic investigations.

Participatory village development planning is often treated as a technical-administrative routine. In practice, however, planning is inseparable from political dynamics that shape who participates, whose interests prevail, and how scarce resources are allocated. This community empowerment program (PKM) in Kedung Udi Village, Trawas District, Mojokerto Regency, East Java, aimed to strengthen village governance by enhancing the capacity of village officials and community representatives to design and facilitate participatory planning while explicitly addressing the political dimension of planning. The main intervention was a workshop conducted on 22 August 2025, preceded by coordination and situational observation. Workshop modules emphasized: (1) planning as a political decision; (2) navigating dual arenas: formal (Musdes/Musrenbang and RPJMDes, RKPDes, APBDes) and informal (elite networks and gatekeeping); (3) multi-level contestation and policy alignment; and (4) practical tools, including power–interest mapping, programmatic agreements, program tagging for alignment with district planning documents, and transparency/anti elite capture mechanisms. The program resulted in improved participant literacy regarding power relations in planning and produced a follow-up action plan oriented toward institutional advocacy, continuous social control, and routine capacity reinforcement through a university and village partnership.

The problem with a 4-stroke gasoline engine-driven electric generator is a decrease in tool performance due to wear on important components for the stator, cooling fan, air filter, oil filter, and gasket. The purpose of component replacement planning is to obtain replacement costs, maintenance schedules in 2027, and the ratio of maintenance costs to profits. The component replacement planning method includes collecting maintenance data from previous years, applying the inspection-replace-repair-overhaul (IRRO) method, assessing component conditions, predicting component lifespan, predicting labor costs, predicting supporting equipment to be used in maintenance, predicting spare part replacement times, predicting maintenance costs in 2027, and calculating the ratio of maintenance costs to profits. The results of the replacement planning obtained maintenance costs in 2027 amounting to IDR 570,007,- with an estimated electric generator rental rate of IDR 30,000,-/hour which has the potential to be rented for 128 hours/year, a profit of IDR 3,840,000,- was obtained, and the ratio of maintenance costs to profits was 14.84% which implies that a 2.5 kW electric generator that uses gasoline-pertalite fuel of around 1.5 liters/hour at maximum power is still suitable for use in the next few years and has the potential to generate profits.

This study explores the integration of critical pedagogy with digital literacy, aiming to reconceptualize digital literacy beyond its traditional focus on technical proficiency and operational skills. Traditional digital literacy models emphasize the ability to navigate and use technology, primarily focusing on operational tasks such as managing digital devices, utilizing software, and performing specific functions. However, these models often overlook the broader implications of technology on society, including its role in shaping power dynamics and perpetuating social inequalities. By integrating critical pedagogy, this study argues that digital literacy should not only encompass technical skills but also encourage learners to critically assess the social, political, and cultural implications of digital tools. The critical digital literacy approach promotes social justice, equity, and empowerment by encouraging learners to question, reflect on, and challenge the ways in which technology influences their lives and society at large. Through critical engagement with digital tools, learners are empowered to challenge existing power structures, fostering social transformation. The study discusses how educators can integrate critical digital literacy into teaching practices, moving beyond traditional skill based models by encouraging critical thinking, ethical use of technology, and a deeper understanding of the role digital technologies play in shaping societal structures. Moreover, the study highlights the transformative potential of critical digital pedagogy, proposing it as a tool for educational equity and social change. By reconceptualizing digital literacy through a critical pedagogical lens, this study offers a framework that empowers students to become not just proficient digital users but active participants in societal transformation, contributing to a more inclusive and just digital future. The study also suggests areas for future research, including empirical investigations on the practical implementation of critical digital literacy frameworks across various educational settings and contexts.

. Film as a mass communication medium not only functions as entertainment, but also as a means of representing power relations in society. Miracle in Cell No. 7 works by Hanung Bramantyo show various forms of official domination and legal inequality which are relevant to be studied through a hegemony perspective. This research aims to describe the forms of hegemony that appear in the film and interpret the social criticism conveyed through the narrative and visualization. The research uses qualitative methods with listening and note-taking techniques, then the data is analyzed through reduction, presentation and drawing conclusions based on Antonio Gramsci's theory of hegemony. The research results show that this film contains four forms of hegemony: ideological hegemony through the instillation of disciplinary values; hegemony of power through apparatus domination and abuse of authority; cultural hegemony through the imposition of a single standard of behavior; and moral hegemony through the formation of ethical judgments that benefit those in power. These findings indicate that films not only present emotional stories, but also present criticism of legal injustice and structural domination. This research confirms that visual media plays an important role in forming public awareness regarding the practice of power in social life.

. Film as a mass communication medium not only functions as entertainment, but also as a means of representing power relations in society. Miracle in Cell No. 7 works by Hanung Bramantyo show various forms of official domination and legal inequality which are relevant to be studied through a hegemony perspective. This research aims to describe the forms of hegemony that appear in the film and interpret the social criticism conveyed through the narrative and visualization. The research uses qualitative methods with listening and note-taking techniques, then the data is analyzed through reduction, presentation and drawing conclusions based on Antonio Gramsci's theory of hegemony. The research results show that this film contains four forms of hegemony: ideological hegemony through the instillation of disciplinary values; hegemony of power through apparatus domination and abuse of authority; cultural hegemony through the imposition of a single standard of behavior; and moral hegemony through the formation of ethical judgments that benefit those in power. These findings indicate that films not only present emotional stories, but also present criticism of legal injustice and structural domination. This research confirms that visual media plays an important role in forming public awareness regarding the practice of power in social life.

Non-formal institutions, such as farmer groups, play a strategic role in increasing farmer capacity and strengthening agricultural production systems at the village level. This study aims to analyze the role, function, and institutional dynamics of the Bina Satu Farmer Group in supporting tomato farmers in Parabubu Village, Mego District. A descriptive qualitative approach was used, with data collection techniques including observation, in-depth interviews, and documentation. The results indicate that the Bina Satu Farmer Group serves as a learning platform, a collaborative unit, and a liaison between farmers and external institutions. This institution functions in disseminating information on tomato cultivation technology, strengthening access to production inputs, and enhancing farmers' bargaining power in marketing. However, several weaknesses were identified, such as low member participation in routine meetings and limited managerial skills among administrators. Overall, the existence of this farmer group has significantly contributed to increasing the knowledge, productivity, and independence of tomato farmers in Parabubu Village.