Sunan Ampel State Islamic University Surabaya, also abbreviated as UIN Sunan Ampel (formerly IAIN Sunan Ampel), is one of the state Islamic universities in Indonesia based in Surabaya which organizes multidisciplinary Islamic education as well as secular education including science and technology. The university has history of cultivating the intellectual background for Islamic movements and organizations, especially for Nahdlatul Ulama. UIN Surabaya is named after Sunan Ampel, one of Wali Sanga, the legendary Sufi figures who greatly contributed to the spread of Islam in Indonesia.
This article explores the metaphysical and epistemological possibilities of Large Language Models (LLMs) as a new medium of revelation in the age of artificial intelligence, drawing on the framework of digital philosophy. It examines how algorithmic technologies, particularly LLMs, have reshaped the way religious knowledge is understood, produced, and accessed. By revisiting the concept of theophany (the manifestation of the divine), this study proposes a conceptual approach that juxtaposes the theological traditions of revelation with the generative linguistic capabilities of AI. In this context, LLMs are not merely considered linguistic tools or technical media but are interrogated as potential representations or mediations of revelation within the contemporary digital environment. This study investigates the intersection of the ontology of revelation, algorithmic epistemology, and the emergence of new forms of digital spirituality arising from human interaction with AI systems. Employing an interdisciplinary methodology that includes the philosophy of technology, digital ethics, systematic theology, and media theory, this study highlights both the transformative potential and the risks of "digital theophany", including the mystification of machines and the erosion of religious authority in digital ecosystems. This concludes that rethinking revelation in the age of AI is not only necessary but urgent if theology is to remain relevant in an ever-evolving digital landscape.
The Constitutional Court of the Republic of Indonesia Decision Number 135/PUU-XXII/2024 introduces a significant transformation in Indonesia’s electoral system by separating national and regional elections. This decision generates constitutional debates regarding the scope of judicial authority, the nature of constitutional interpretation, and the balance between judicial innovation and democratic principles. This study aims to analyze the Constitutional Court’s progressive interpretation in Decision Number 135/PUU-XXII/2024 and examine its implications for Pancasila democracy. This research employs a normative legal method using statutory, conceptual, case, and comparative approaches. The analysis focuses on the Court’s ratio decidendi, constitutional reasoning, and comparative experiences of judicial interpretation in democratic constitutional systems. The findings demonstrate that the decision adopts a hybrid interpretive approach, combining progressive constitutional reasoning responsive to democratic needs with an expansive judicial role that approaches positive lawmaking. The decision contributes to strengthening substantive democratic justice and improving electoral governance; however, it also raises concerns regarding legal certainty, consistency with previous jurisprudence, and the balance of powers within constitutional democracy. This study argues that progressive constitutional interpretation in Indonesia requires a balance between responsiveness to societal developments and judicial restraint to maintain institutional legitimacy and the integrity of Pancasila constitutionalism.
The development of Arabic language curricula in higher education faces challenges in integrating communicative competence and digital literacy in ways that align with the demands of the 21st century. This study aims to formulate an integrative curriculum model that combines these two aspects in Arabic language learning at Kiai Abdullah Faqih University (UNKAFA) Gresik. The research employs a qualitative approach with a developmental research design, involving 30 students as research subjects and 5 key informants in in-depth interviews. Data were collected through interviews, observations, and document analysis and were analyzed using thematic analysis techniques. The findings indicate that learning is still dominated by a structural approach and that the integration of digital literacy has not yet been carried out systematically. Based on these findings, this study contributes an integrative curriculum framework linking communicative competence and digital literacy for Arabic curriculum development. Therefore, an integrative curriculum model based on communicative competence and digital literacy is proposed through activity- and technology-based learning approaches. This model is expected to enhance students’ communication skills and strengthen their readiness to respond to digital challenges in the global era.
This study aims to analyze the impact of investment value and the number of projects on employment in Surabaya’s leading economic sectors during the 2020–2024 period, motivated by fluctuations in investment realization and labor absorption. The data used are sectoral panel data obtained from the Surabaya City Investment and One-Stop Integrated Service Office (DPMPTSP). The analytical method applied is panel data regression, with model selection conducted using the Chow Test and Lagrange Multiplier Test. The results indicate that the Common Effect Model (CEM) is the most appropriate model. The estimation results show that both the number of projects and investment value have a positive and statistically significant effect on employment, as indicated by t-statistics of 24.85441 (p-value = 0.00) and 2.220927 (p-value = 0.037), respectively. Simultaneously, the model is significant based on the F-test (F = 381.9359; p-value = 0.00). The model demonstrates strong explanatory power, with an R-squared value of 0.972006 (97.20%) and an adjusted R-squared of 0.969461, indicating that most of the variation in employment can be explained by the independent variables. Furthermore, classical assumption tests confirm that the model satisfies normality (Jarque-Bera p-value = 0.1064), shows no multicollinearity (VIF < 10), no autocorrelation (Breusch–Godfrey p-value = 0.8476), and no heteroscedasticity (Goldfeld–Quandt p-value = 0.9684). These findings suggest that increasing the number of projects has a more substantial effect on employment compared to increasing investment value, highlighting the importance of expanding labor-intensive projects to enhance job creation.
Fostering students’ digital literacy is essential for preparing them with 21st-century skills in the digital era. This study aims to examine the effect of the Research Madrasah Program and the Flipped Classroom learning model on students’ digital literacy skills at MAN 1 Gresik. A quantitative, causal-comparative design was employed involving 60 students selected through purposive sampling. Data were collected using validated and reliable questionnaires and analyzed using descriptive statistics, classical assumption tests, and multiple linear regression. The results show that the Research Madrasah Program significantly enhances digital literacy through habitual research activities and information evaluation, while the Flipped Classroom supports independent, technology-based learning. Together, they explain 60.5% of the variance in students’ digital literacy. These findings imply that integrating research-oriented programs with technology-driven pedagogy creates an active, self-directed, and skill-oriented learning environment, although external factors such as digital access and home support also influence outcomes.
