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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.

Artificial Intelligence and Islamic Education: A Theoretical Review Artha, Bhenu; Santoso, Fajar; Bahri, Bahri; Asri, Cahya Purnama; Sari, Utami Tunjung; Sari, Niken Permata; Aditya, Ascasaputra
Anjasmoro: Islamic Interdisciplinary Journal Vol. 3 No. 1 (2025): Islamic Education
Publisher : Yayasan Pendidikan Bustanul Ulum Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69965/anjasmoro.v3i1.214

As these potent technologies develop further, AI offer previously unheard-of opportunities as well as difficult problems that demand careful consideration. It is impossible to overestimate the significance of AI in education. In order to ensure that AI's transformational potential is utilized for the benefit of society as a whole, we therefore seek to contribute to the development of a responsible and ethical approach to its application. In order to accomplish the goals and objectives of the research, a theoretical literature survey is carried out, and a conceptual framework for further investigation is provided. Islamic education is viewed by the authors of the current study as a dependent variable that is influenced by artificial intelligence. A future where AI in education catalyzes good change and enables people and communities to realize their full potential will be created by promoting equal access to AI-driven tools, encouraging interdisciplinary cooperation, and engaging in open discourse.

Sustainable Cultural Tourism in the Age of (Green) AI: Opportunities and Challenges for Heritage Sites Santoso, Fajar; artha, bhenu; Nur, Sadath M.; Putri, Felyanah Dessy Cinthya; Julia, Adista Ika
Jurnal Riset dan Sains Ekonomi Vol 3 No 1 (2026): Maret
Publisher : Fakultas Ekonomi, Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64620/jrse.v3i1.45

Cultural heritage artifacts can be protected and repaired to serve as the foundation for sustainable tourism and related enterprises. Intangible cultural heritage, in particular, stands out as a kind of cultural authenticity, therefore it can be used to generate socioeconomic benefits in the cultural tourism industry. Virtual Reality (VR) and Augmented Reality (AR) are now nearly universally used, resulting in considerable changes in manufacturing and consumption processes. These technologies have found widespread use in marketing, promotion, and even product development. This theoretical overview brings together recent research on how artificial intelligence (AI) is altering sustainable cultural and heritage tourism. It maps key theoretical lenses (socio-technical systems, sustainability/SDG frameworks, cultural heritage theory, experience economy, and technological determinism), identifies major AI-enabled opportunities (interpretation, accessibility, demand management, conservation, community empowerment), and highlights critical challenges (authenticity, equity, data governance, commodification, environmental footprint, skills). AI, AR, VR, and robotics form a tightly coupled technology ecosystem whose combined effect on heritage tourism is simultaneously enabling and disruptive. Thoughtful stewardship, community co-ownership, and interdisciplinary evaluation are essential to harness benefits, enhanced interpretation, conservation efficiency, accessibility while guarding against threats to authenticity, equity, and sustainability. The study concludes with policy and research recommendations for heritage managers, policymakers, and researchers seeking to strike a balance between technological innovation, sustainability, and cultural integrity.

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.

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