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The Struggle for the Meaning of Islam in the Post-Truth Era: Critical Discourse Analysis of Narratives on the Hidayatullah.com Portal Arfan, Arfan; Hatta, Juparno; Azlan, Ulfatmi
FIKRAH Vol 13, No 2 (2025): December 2025
Publisher : Prodi Aqidah dan Filsafat Islam, Fakultas Ushuluddin, Universitas Islam Negeri Sunan Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/fikrah.v13i2.33169

Abstract

The effectiveness of new media has transformed Islamic preaching into the digital space, creating a new landscape for Islamic discourse. This phenomenon occurs in the post-truth era, when emotions and subjective beliefs influence public opinion more than facts. Hidayatullah.com, a popular Islamic portal among Indonesian Muslims, actively produces Islamic narratives. However, the texts it publishes often reflect certain ideological interests and social positions. This study examines the relationship between power and ideology in Hidayatullah.com's representation of Islam. The study employs Norman Fairclough's Critical Discourse Analysis (CDA) approach, enriched with Foucault's readings. Data were obtained through a literature review of Islamic-themed texts in the portal's article section. The results show that Hidayatullah.com functions as a discursive agent that frames Islamic issues in a way that reinforces conservative ideology. The portal uses discourse to reinforce religious narratives and identities in line with its ideological orientation. This study contributes to a critical understanding of the formation of religious meaning and authority in the post-truth era.
ELECTROCHEMICAL SYSTEMS ENGINEERING: MODELING, CONTROL, AND DEGRADATION ANALYSIS Nakamura, Yui; Wei, Li; Arfan, Arfan
Journal of Moeslim Research Technik Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i1.3341

Abstract

The global transition toward sustainable energy infrastructure relies heavily on the reliability and longevity of electrochemical energy storage systems. However, conventional management strategies often struggle with the highly non-linear dynamics and unobservable internal degradation mechanisms of these devices. This research addresses the critical need for advanced systems engineering by evaluating a physics-based framework for real-time modeling, state-aware control, and non-invasive degradation analysis. The study aims to optimize the balance between operational performance and capacity retention through the implementation of reduced-order Doyle-Fuller-Newman models. Utilizing a multi-physics experimental design, forty lithium-ion cells were subjected to high-rate cycling while monitored by an adaptive observer-based controller. Results demonstrate that the physics-based approach achieves a 75% reduction in state-of-estimation error compared to empirical models, while significantly mitigating internal resistance growth. Furthermore, the “health-aware” control strategy successfully improved capacity retention by 7.2% over 1,000 cycles by preemptively preventing lithium plating thresholds. This research concludes that internal state visibility is a prerequisite for achieving maximum electrochemical utilization. The findings provide a scalable blueprint for the next generation of resilient battery management systems, asserting that the integration of multi-scale physical models into control architectures is essential for securing the future of global energy storage.