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All Journal OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
M. Ruslianor Maika
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Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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ANALISIS BIBLIOMETRIK SHARING ECONOMY PUBLIKASI ILMIAH DI NEGARA-NEGARA SELURUH DUNIA Tsuroyya putri saadah; M. Ruslianor Maika
OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Vol 7 No 1 (2023): OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/oikos.v7i1.6385

Abstract

This study aims to determine the development map of scientific publications related to the "Sharing Economy". This research was conducted by collecting data through the Scopus database using the keyword "Sharing Economy". In this study, researchers used a quantitative descriptive method with bibliometric analysis. Based on the search results, researchers obtained 2,476 scientific work search documents which were then exported in BibTex format and processed using R-Packages software and Biblioshiny WebInterface, the results we found were that scientific publications containing the sharing economy have been carried out a lot as the years increase. This is of course very helpful as a reference for research literature on the sharing economy conducted in the future.
Penerapan Artificial Intelligence dan Machine Learning dalam Sektor Pariwisata Halal: Tinjauan Bibliometrik Melly Wanda Ismi Wulandari; M. Ruslianor Maika
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 7 No. 5 (2025): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v7i5.7350

Abstract

This study aims to analyze the development of artificial intelligence (AI) and machine learning (ML) in the halal tourism sector through a review of scientific publications. The researcher used a quantitative method with a bibliometric analysis method to map research trends in this field. This research was conducted by searching the Scopus database using the keywords “artificial intelligence and machine learning in the halal tourism sector” with the categories Article Title, Abstract, and Keywords. The search results were then exported in CSV (Comma Separated Values) format and analyzed using the R-Packages and Biblioshiny Web Interface software applications. The results of the study obtained 465 scientific publications with a time span from 1999 to 2024 using three types of documents, namely articles, books, and conference papers. Bibliometric analysis shows that artificial intelligence has become one of the main drivers of digital transformation in the global tourism sector, including halal tourism. The trend of increasing scientific publications reflects the strategic role of AI and ML in optimizing efficiency, service innovation, and personalization of the traveler experience. The synergy between academic research, technology development, and strategic policy contributes positively to growth in this sector. Overall, the results of this study underline the importance of implementing AI-based technology in meeting the needs of Muslim travelers while strengthening the competitiveness of the halal tourism industry amid rapid global digitization.
Co-Authors Melly Wanda Ismi Wulandari Tsuroyya putri saadah