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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

Abstract

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.
Rekrutmen Calon PANTARLIH Untuk Pilkada Di Kelurahan Pasar Baru Kecamatan Medan Kota Menggunakan MOOSRA Sari, Niken Permata; Anwar, Badrul; Santosa, Ismawardi
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 5 No. 1 (2026): EDISI JANUARI 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v5i1.12106

Abstract

Rekrutmen calon Petugas Pemutakhiran Data Pemilih (PANTARLIH) untuk Pilkada di Kelurahan Pasar Baru Kecamatan Medan Kota kadang mengalami masalah yang berpengaruh terhadap jalannya proses dan hasilnya. Salah satu masalahnya adalah kurangnya efisiensi dan akurasi dalam proses rekrutmen petugas. Pada periode sebelumnya secara manual, penilaian calon petugas berdasarkan kriteria tertentu tidak transparan, sering menghabiskan banyak waktu, dan rentan terhadap subjektivitas. Ini membuat sulit untuk memastikan bahwa kandidat yang dipilih memiliki kompetensi yang diperlukan untuk posisi tersebut. Permasalahan tersebut dapat diatasi dengan memanfaatkan kemajuan teknologi informasi. Salah satunya adalah sistem pendukung keputusan (Decision Support System), yaitu pasangan berbagai sumber intelektual dari sekelompok individu dengan sumber intelektual komputer untuk meningkatkan kualitas pengambilan keputusan. Sistem ini digunakan untuk menilai calon berdasarkan kriteria yang telah ditentukan seperti pengalaman, kompetensi, dan hasil tes, sehingga proses seleksi menjadi lebih objektif, efisien, dan transparan. Salah satu metode yang digunakan adalah Multiobjective Optimization on the Basis of Simple Ratio Analysis (MOOSRA).Hasil yang diharapkan dari penelitian ini adalah tersusunnya sistem pendukung keputusan dengan metode MOOSRA yang mampu mempercepat proses rekrutmen petugas pemutakhiran data pemilih secara objektif, efisien, dan transparan, sehingga kandidat terpilih benar-benar sesuai dengan kriteria dan kebutuhan yang ditetapkan.
A Systematic Literature Review of Digital Finance and Global Marketing Artha, Bhenu; Jumadi, Jumadi; Sari, Utami Tunjung; Aditya, Ascasaputra; Bahri, Bahri; Sari, Niken Permata; Hadi, Antonius Satria; Asri, Cahya Purnama
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/ecgxy236

Abstract

Digital finance and global marketing have emerged as transformative forces reshaping the contemporary economic landscape. This study presents a systematic literature review examining the intersection of these domains, analyzing 287 peer-reviewed articles published between 2019 and 2024 from reputable international databases. Following rigorous methodological protocols, the research synthesizes current trends, identifies key research gaps, and provides actionable insights for stakeholders. The results reveal a significant growth trajectory in scholarly attention, with publications increasing from 12 in 2019 to 45 in 2024. Key research focus areas include digital marketing strategies, digital payment systems, and consumer behavior. Findings indicate that successful organizations integrate multiple technologies—specifically Artificial Intelligence (AI), blockchain, and mobile payments—into comprehensive strategies rather than isolated adoptions. Consumer trust is identified as a critical mediator influencing adoption, while regulatory fragmentation and the digital divide remain substantial barriers to global implementation. The review concludes that sustainable competitive advantage derives from integrated and customer-centric innovation.