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A Techno-Linguistic Decoding Errors in Arabic Writing Assessments: A Case Study of Alikhtibar LMS Moh Ismail; Abdul Hafidz bin Zaid; Luthfi Muhyiddin; Muhammad Alamuddin Ma’ruf
Arabiyatuna: Jurnal Bahasa Arab Vol. 9 No. 1 (2025)
Publisher : Institut Agama Islam Negeri Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/jba.v9i1.12426

Abstract

This study aims to investigate techno-linguistic decoding errors in Arabic writing assessments within the Alikhtibar Learning Management System (LMS). The integration of technology in Arabic Language Teaching (ALT) has transformed learning and assessment processes by enhancing student engagement and enabling adaptive evaluation. However, assessing Arabic writing proficiency remains challenging due to the language’s complex grammatical system, especially in digital environments. Employing a qualitative descriptive approach, this research analyzed 46 student-produced texts to identify common error types and their pedagogical implications. The findings revealed that preposition misuse was the most frequent error (30 instances), followed by noun agreement errors (19), verb conjugation errors (15), and redundancy (12). These results emphasize the need for context-sensitive assessment tools and targeted instructional strategies. This study is novel in focusing on decoding errors within a practical Arabic LMS platform and in integrating linguistic theory with digital error analysis. It offers valuable insights for evaluating Arabic writing proficiency in the digital era and contributes to the advancement of intelligent, adaptive feedback systems for Arabic language education, with potential applications in instructional design, curriculum development, and NLP-based assessment tools.
Political Polarization and the Disruption of Digital Democracy in Indonesia: A Critical Reassessment of Political Science Perspectives Miinudin; Luthfi Muhyiddin; Rahmat, Maulana Bagus Rahmat
JURNAL TAPIS Vol 22 No 1 (2026): Jurnal Tapis : Jurnal Teropong Aspirasi Politik Islam
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tps.v22i1.31149

Abstract

The digital era has fundamentally transformed Indonesia's political landscape, shifting the arena of contestation from physical spaces to complex algorithmic environments. The emergence of intense polarization, exacerbated by social media echo chambers and systematic information disruption through buzzers and bots, demands a paradigm shift in political science. This study aims to analyze the dynamics of digital polarization and its implications for democratic governance in Indonesia. Using a qualitative approach with a systematic literature review, this study analyzes approximately 140-150 academic sources (journal articles and books) published between 2021–2025. The literature selection is based on relevance to digital democracy, polarization, and computational politics, as well as credibility indexed in reputable academic databases. The analysis employs a thematic approach to identify recurring patterns related to algorithmic influence, affective polarization, and digital manipulation strategies. The results indicate that digital disruption in Indonesia is driven by algorithmic engineering that exploits social identities and amplifies emotional sentiments, leading to affective polarization. Furthermore, the use of cyber troops and astroturfing systematically undermines democratic deliberation by producing pseudo-public opinion. This study concludes that political science must evolve by integrating Computational Social Science and digital sociology to remain relevant in analyzing contemporary power structures. The research contributes theoretically by introducing an algorithmic perspective on political power and practically by offering a framework for strengthening democratic resilience in the digital age.