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A Narrative Review of English Language Learning and Artificial Intelligence Artha, Bhenu; Santoso, Fajar; Sari, Utami Tunjung; Bahri, Bahri; Sari, Niken Permata; Hadi, Antonius Satria; Asri, Cahya Purnama; Aditya, Ascasaputra
Allure Journal Vol 6, No 1 (2026): January 2026
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/allure.v6i1.26068

With the introduction of digital technology and artificial intelligence, learning English is changing dramatically. By combining the results of the previous ten years of research, this study—which is being conducted using the narrative review method—aims to fill these gaps by offering a thorough grasp of the present trends, difficulties, and potential future directions in the use of AI to English language learning. The majority of current research is on the effectiveness of certain AI technologies, paying little consideration to the long-term impacts on learners' sociocultural competency, language ability, and retention. Furthermore, the majority of research to far has focused on English as a foreign language, with little attention paid to how AI can facilitate multilingualism or the acquisition of English as a second language in various sociocultural contexts. Studies examining the pedagogical, cultural, and ethical ramifications of widespread AI deployment in language instruction—particularly in non-Western contexts—are also lacking. This study highlights both the exciting promise and the difficulties of integrating GenAI technology, providing insightful information about the changing field of AI use in English learning. Conducting empirical research on the principles in this study is one suggestion for future research.

Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Pada Fifgroup Dengan Metode Simple Additive Weighting Subagyo, Untung; Santoso, Fajar
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 20 No 2 (2022): Mei 2022
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v20i2.35

Kualitas dari kinerja pegawai adalah salah satu faktor yang mendukung peningkatan produktifitas dari suatu perusahaan. Oleh karena itu pegawai yang memiliki kinerja yang tinggi dapat meningkatkan produktifitas perusahaan. Perusahaan dapat memberikan sebuah apresiasi dan penghargaan kepada pegawai yang berprestasi untuk memotivasi pegawai yang pada akhirnya akan meningkatkan kinerja dari pegawai. Dengan melakukan penilaian kinerja pegawai, perusahaan dapat mengetahui prestasi yang diperoleh pegawai. FIFGROUP Yogyakarta merupakan perusahaan yang bergerak di bidang pembiayaan kredit sepeda motor baru, elektronik, emas, umroh, haji dan dana tunai. Dalam perjalanannya penilaian kinerja pegawainya masih dilakukan secara manual sehingga masih terkesan subyektif. Oleh karenanya dibutuhkan sebuah metode penilaian kinerja karyawan yang lebih baik dan obyektif berupa Sistem Pendukung Keputusan. Sebuah Sistem Pendukung Keputusan berbasis web dikembangkan dengan menggunakan metode Simple Additive Weighting (SAW) dan menggunakan lima kriteria, yaitu masa kerja, absensi, pencapaian kinerja, pendidikan terakhir, dan pengembangan diri. Sistem Pendukung Keputusan menghasilkan nilai dan peringkat dari masing-masing pegawai. Sehingga nilai dan peringkat ini bisa dijadikan referensi bagi perusahaan untuk mengetahui kinerja pegawai di FIFGROUP.

A Narrative Review of English Language Learning and Artificial Intelligence Artha, Bhenu; Santoso, Fajar; Sari, Utami Tunjung; Bahri, Bahri; Sari, Niken Permata; Hadi, Antonius Satria; Asri, Cahya Purnama; Aditya, Ascasaputra
Allure Journal Vol 6, No 1 (2026): January 2026
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/allure.v6i1.26068

With the introduction of digital technology and artificial intelligence, learning English is changing dramatically. By combining the results of the previous ten years of research, this study—which is being conducted using the narrative review method—aims to fill these gaps by offering a thorough grasp of the present trends, difficulties, and potential future directions in the use of AI to English language learning. The majority of current research is on the effectiveness of certain AI technologies, paying little consideration to the long-term impacts on learners' sociocultural competency, language ability, and retention. Furthermore, the majority of research to far has focused on English as a foreign language, with little attention paid to how AI can facilitate multilingualism or the acquisition of English as a second language in various sociocultural contexts. Studies examining the pedagogical, cultural, and ethical ramifications of widespread AI deployment in language instruction—particularly in non-Western contexts—are also lacking. This study highlights both the exciting promise and the difficulties of integrating GenAI technology, providing insightful information about the changing field of AI use in English learning. Conducting empirical research on the principles in this study is one suggestion for future research.

Conceptualizing Dual Mechanisms of Decoupling: The Impact of Physical and Temporal Separation on The Intensity of Pain of Paying Tiara Kinanti; Fajar Santoso; Bhenu Artha
Indonesia Economic Journal Vol. 2 No. 1 (2026): JANUARI-JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/t9wz2n13

The evolution of commerce from tangible cash to digital interactions has fundamentally altered the "pain of paying," a crucial psychological heuristic that regulates consumer spending. This research aims to conceptualize the dual mechanisms of decoupling, physical and temporal separation, within a unified theoretical framework. Utilizing a narrative review methodology, the study synthesizes contemporary literature to explore how these mechanisms manipulate consumer psychology. Physical decoupling, characterized by "Spendception" and invisible payments, reduces payment transparency and neutralizes emotional resistance at the point of sale. Temporal decoupling, prominently seen in Buy Now, Pay Later (BNPL) models, exploits time perception to minimize perceived financial commitment. While these strategies effectively increase impulse buying by removing cognitive friction, they paradoxically damage long-term brand loyalty by eliminating psychological effort justification. The paper concludes that in an increasingly frictionless digital economy, cultivating robust financial literacy is essential for transitioning consumers from vulnerable, heuristic-based emotional regulation to resilient, deliberate cognitive financial management.

A CRITICAL REVIEW OF TRACING KNOWLEDGE DIFFUSION FLOWS IN ISLAMIC FINANCE RESEARCH: A MAIN PATH ANALYSIS Bhenu Artha; Fajar Santoso; Ascasaputra Aditya; Wuku Astuti
International Journal of Multidisciplinary Reseach Vol. 2 No. 4 (2026): Agustus
Publisher : International Journal of Multidisciplinary Reseach

Show Abstract | Download Original | Original Source | Check in Google Scholar

This study provides a critical review of Rejeb et al.'s (2026) research, which uses co-word and main path analysis to trace knowledge diffusion in Islamic finance (IF) literature. The objective of this paper is to evaluate the methodological rigor, theoretical underpinnings, and empirical findings of the original study to identify research gaps and inconsistencies. The research employs a critical literature review methodology to systematically assess and critique the selected paper. The findings indicate that while the original study boasts a novel dual-methodological approach, a comprehensive dataset of 4,422 documents, and a clear thematic architecture by identifying seven distinct clusters, it suffers from notable limitations. Key weaknesses include an exclusive reliance on the Scopus database, uniform citation weighting, language bias, and limited longitudinal or comparative trend analysis. The review concludes that the paper successfully maps the IF research landscape but functions more as a descriptive-analytical study rather than a prescriptive guide, falling short of providing transformative insights into emerging IF domains.

A Data-Based Information System for Credit Risk Management in Banking Education Roby Romadany; Fajar Santoso; Bhenu Arthac
At Turots: Jurnal Pendidikan Islam Vol. 8 No. 1 Juni (2026): At Turots: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Ilmu Tarbiyah Madani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51468/jpi.v8i1.1229

This study designs, implements, and validates a high-fidelity Data‑Based Information System for Credit Risk Management (CRIS) as an educational simulation to close the mismatch between banking industry needs and current tertiary banking curricula. The purpose of the study to develop an industry‑realistic CRIS prototype that embeds event‑driven architecture, feature stores, explainable AI, and real‑time predictive analytics into classroom practice so students acquire the technical, regulatory, and decision‑making competencies required for modern credit risk management. This research uses a design‑based research (DBR) approach guided iterative prototype development. A DBR‑driven, event‑aware CRIS simulation is an effective educational intervention to align banking education with the technical and governance demands of contemporary credit risk management.

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