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All Journal Journal of Islamic Civilization JIEB : Jurnal Ilmiah Ekonomi Bisnis Jurnal Al Azhar Indonesia Seri Ilmu Sosial Journal of Islamic Economics and Philanthropy International Journal Law and Legal Ethics (IJLLE) Journal of Hospitality Accommodation Management Journal Hotspot (jh) Jurnal Pengabdian Masyarakat STIE Surakarta (DIMASETA) Journal of Society Bridge Journal of Commerce Management and Tourism Studies Jurnal of Information Technology and Society (JITS) Social Sciences Insights Journal Research of Islamic Economics (RIE) Jurnal Ilmu Politik dan Studi Sosial Terapan Jurnal Ilmiah Multidisiplin Ilmu Indonesian Journal of Applied Accounting and Finance Jurnal Salingka Nagari Journal of Sharia Economics, Banking and Accounting Indonesian Tourism Journal LinguaEducare: Journal of English and Linguistic Studies Expert Net: Exploration Journal of Technological Education Trends Alkasb: Journal of Islamic Economics Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Silatene : Jurnal Sosial Humaniora International Journal of Islamic Finance (IJIF) Journal of Economics, Management and Accounting (JEMA) Journal of Economic and Business Jurnal Penelitian Ilmu Pariwisata JEIZA: Jurnal Ekonomi Islam Az-Zain JBIAM LIER: Language Inquiry & Exploration Review AGRONES: JOURNAL OF AGRICULTURE, AGRIBUSINESS WELFARE, TECHNOLOGI, HUMANITY, ENVIRONMENT, SOCIAL AND ECONOMY J-Coop : Journal of Co-operative Journal of Digital Business & Banking
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Linguistic Strategies in AI-Generated Marketing Content: A Policy Framework for Global Brands Koswara, Asep
LIER: Language Inquiry & Exploration Review Vol. 2 No. 2 (2025): LIER: Language Inquiry & Exploration Review
Publisher : Pemuda Peduli Publikasi Insan Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71435/690429

Abstract

Purpose: This study examines linguistic strategies in AI-generated marketing content and proposes a Language Policy Framework for Global Brands to ensure ethical, culturally adaptive, and consumer-centric communication. Subjects and Methods: A qualitative descriptive analysis was employed, reviewing existing literature and industry practices to assess AI-driven personalization, cultural localization, and ethical transparency in marketing communication. Results: AI enhances engagement through personalization and sentiment adaptation, but challenges include linguistic bias, cultural misalignment, and ethical concerns. Transparency and localization improve trust and consumer relationships. Conclusions: A structured Language Policy Framework integrating transparency, cultural sensitivity, and multilingual consistency is essential for responsible AI deployment in global marketing. Future research should explore hybrid AI-human collaboration for optimal brand communication.
Business Demand And Skill Specifications For Data Analysts In Indonesia: A Data-Driven Job Market Study Koswara, Asep
Jurnal Bisnis Digital & Perbankan Vol 1 No 1 (2025): Journal of Digital Business & Banking
Publisher : Politeknik Kebangsaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65177/jdbb.v1i1.21

Abstract

Indonesia’s accelerated digital transformation has generated a substantial demand for data analysts, yet a fine-grained understanding of sector-specific hiring trends and skill requirements remains limited. This study addresses that gap by conducting a data-driven job market analysis of 100 New Data Analyst postings collected from JobStreet Indonesia. Using quantitative content analysis and computational techniques, the research classified postings by business sector and extracted explicit skill requirements, encompassing both technical and soft competencies. The findings reveal that demand is most concentrated in e-commerce, finance, healthcare, and technology, with Jakarta emerging as the dominant employment hub. Technical skills such as SQL, Python, Excel, and visualization tools remain foundational across sectors, while sectoral variations highlight specialized needs, including risk modeling in finance and consumer analytics in e-commerce. Equally important, soft skills such as communication, problem-solving, and adaptability are consistently emphasized, underscoring the hybrid nature of the role. These results suggest that employers, job seekers, and educators must collaboratively align expectations, training programs, and recruitment practices to minimize skill mismatches. The study concludes by recommending competency-based curricula, industry-academia partnerships, and continuous upskilling strategies to ensure Indonesia’s workforce is adequately prepared to meet the evolving demands of the digital economy.
Algorithmic Decision Making in Management: A Philosophical Inquiry from an Islamic Ethical Perspective Koswara, Asep; Umi Narimawati; Bobi Kurniawan
Journal of Islamic Civilization Vol 7 No 2 (2025): Journal of Islamic Civilization
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/jic.v7i2.8471

Abstract

The rapid diffusion of algorithmic decision making in management has reshaped how organizations evaluate employees, allocate resources, and exercise managerial authority. While such systems promise efficiency and objectivity, growing evidence shows that they also generate serious epistemological, ethical, and governance challenges. This paper aims to critically examine algorithmic decision making in management from an Islamic ethical and philosophical perspective, focusing on its epistemological, ontological, and axiological implications. Using a qualitative and conceptual research design, the study applies interpretive and normative analysis to major theories in management, artificial intelligence ethics, and Islamic moral philosophy. The results indicate that algorithmic decision making is built on epistemic assumptions that overstate objectivity, ontological ambiguities that risk displacing human moral agency, and axiological limitations that undermine justice, accountability, and human dignity. Drawing on Islamic ethical principles, particularly maqāṣid al-sharīʿah, justice (ʿadl), and trust (amanah), the study proposes a normative framework that re-centers human responsibility and ethical governance in the use of algorithmic systems. In conclusion, algorithmic decision making should be treated as a decision-support mechanism rather than an autonomous authority, and its legitimacy in management depends on its alignment with Islamic ethical values and the preservation of human moral agency.
Predicting the Future of Halal Industry through Search Engine Analytics: A Maqashid Shariah Framework Koswara, Asep; Nurbilla, Anisa
International Journal of Islamic Finance Vol. 4 No. 1 (2026): May 2026
Publisher : Department of Islamic Financial Management, Faculty of Economics and Islamic Business, Sunan Kalijaga State Islamic University, Yogyakarta, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/xwbrej23

Abstract

   Background: The global halal industry has transformed from a faith-based sector into a dynamic, multi-sectoral market encompassing food, cosmetics, tourism, and Islamic finance. Rapid digitalization and online consumer behavior have reshaped market demand, yet most analyses remain descriptive, overlooking predictive insights and ethical evaluation through Islamic economic frameworks.  Objectives: This study aims to predict future trends in the global halal industry from 2026 to 2030 by analyzing search engine data (2020–2025) within a Maqashid Shariah framework. It seeks to bridge digital consumer behavior with Islamic economic values and sustainability, providing evidence-based foresight across halal sectors.  Novelty: This research pioneers the integration of search engine analytics and Maqashid Shariah as a predictive framework, filling gaps in the literature where empirical digital trends are rarely interpreted through Shariah objectives. It uniquely combines time-series forecasting with ethical evaluation to inform strategic decision-making in the halal economy.  Research Methodology / Design: A mixed-methods approach was applied. Quantitative analysis utilized Google Trends to capture global search interest in “halal food,” “halal cosmetics,” “halal tourism,” and “Islamic finance” from 2020–2025. Time-series forecasting models (ARIMA and Prophet) projected trends to 2030. Rising and breakout keyword analyses identified emerging consumer intentions. Qualitative interpretation employed a Maqashid Shariah–based analytical lens to connect digital patterns with Islamic ethical principles for ensuring coherence between empirical signals and value-driven interpretation.  Findings: The study finds that global interest in the halal industry continues to strengthen across all major sectors, driven by rising digital engagement and increasingly value-driven consumer intentions. Search behavior shows a shift from basic informational queries toward action-oriented, trust-seeking, and ethically motivated searches. Each sector including food, tourism, cosmetics, and Islamic finance demonstrate distinct post-pandemic recovery patterns and growing recognition of halal as a global ethical standard. Predictive modeling indicates continued expansion and deeper cross-sector reinforcement, where growth in one segment amplifies interest in others. Interpreted through a Maqashid Shariah lens, these trends align with human well-being, ethical consumption, responsible finance, and sustainability.  Implication: Findings provide actionable insights for policymakers, halal certification authorities, and entrepreneurs to align governance, strategy, and innovation with both consumer behavior and Shariah-based sustainability.