Implementasi Digitalisasi Upaya Mempermudah Bank Syariah Indonesia Dalam Melakukan Forecasting

Authors

  • Muhammad Saprudin Sekolah Tinggi Agama Islam Negeri Bengkalis, Indonesia
  • Sofiyanto Sofiyanto Sekolah Tinggi Agama Islam Negeri Bengkalis, Indonesia
  • Joni Hendra Sekolah Tinggi Agama Islam Negeri Bengkalis, Indonesia

DOI:

https://doi.org/10.57235/bima.v2i1.4887

Keywords:

Digitalisasi, Forecasting, AI, big data, dan bank syariah Indonesia

Abstract

Dalam upayanya untuk meningkatkan akurasi dan efisiensi dalam proses forecasting, yang sangat penting untuk mendukung pengambilan keputusan strategis, Bank Syariah Indonesia (BSI) telah menerapkan digitalisasi. Tujuan dari penelitian ini adalah untuk melihat seberapa efektif penerapan teknologi digital seperti kecerdasan buatan (AI), big data, dan automasi dalam meningkatkan kinerja forecasting BSI. Dengan menggunakan teknologi ini, BSI dapat memahami perilaku dan meproyeksikan risiko.Hasil penelitian menunjukkan bahwa digitalisasi forecasting sangat membantu mempercepat respons pasar terhadap perubahan dan meningkatkan daya saing BSI. Selain itu, terciptanya sistem yang aman, efisien, dan sesuai syariah telah didukung oleh pengembangan infrastruktur digital yang solid dan kolaborasi dengan pakar teknologi. BSI menjadikan digitalisasi sebagai komponen penting dalam pengembangan bank syariah di era digital, dan mampu menyesuaikan strateginya dengan kondisi pasar saat ini dengan memantau dan menilai forecasting secara berkala.

References

APJII, APJII Jumlah Pengguna Internet Indonesia Tembus 221 Juta Orang (Jakarta, 2024) <https://apjii.or.id/berita/d/apjii-jumlah-pengguna-internet-indonesia-tembus-221-juta-orang>

Arya Satya Pratama, Suci Maela Sari, Maila Faiza Hj, Moh Badwi, Mochammad Isa Anshori, ‘Pengaruh Artificial Intelligence, Big Data Dan Otomatisasi Terhadap Kinerja SDM Di Era Digital’, Jurnal Publikasi Ilmu Manajemen (JUPIMAN), 2.4 (2023), 117–19 <https://doi.org/10.55606/jupiman.v2i4.2739>

Eriana, Emi Sita, and Drs. Afrizal Zein, ‘Artificial Intelligence’, Angewandte Chemie International Edition, 6(11) (2023), 1

Gruetzemacher, Ross, Florian E. Dorner, Niko Bernaola-Alvarez, Charlie Giattino, and David Manheim, ‘Forecasting AI Progress: A Research Agenda’, Technological Forecasting and Social Change, 170 (2021), 2–3 <https://doi.org/10.1016/j.techfore.2021.120909>

Herni, H., N. Tahir, and S. R. Arfah, ‘Collaborative Governance: Membangun Solusi Bersama Dalam Penanggulangan Stunting’, Kolaborasi: Jurnal Administrasi Publik, 10.1 (2024), 58–59

Jeong, Dae hyun, O. Young Kown, and Eunjin Hwang, ‘Technological Convergence of AI Across the Industrial Sectors’, International Journal on Advanced Science, Engineering and Information Technology, 14.4 (2024), 1152–60 <https://doi.org/10.18517/ijaseit.14.4.18077>

Maw, Maw, Su Cheng Haw, and Kok Why Ng, ‘Perspectives of Defining Algorithmic Fairness in Customer-Oriented Applications: A Systematic Literature Review’, International Journal on Advanced Science, Engineering and Information Technology, 14.5 (2024), 1505–7 <https://doi.org/10.18517/ijaseit.14.5.11676>

Santi Indra Astuti, and Juli R. Binu, ‘Memberdayakan Komunitas Lokal Dalam Gerakan Literasi Digital’, Jurnal Riset Jurnalistik Dan Media Digital, 2 (2022), 78–83 <https://doi.org/10.29313/jrjmd.v2i2.1350>

Solikin, Imam, and Septa Hardini, ‘Aplikasi Forecasting Stok Barang Menggunakan Metode Weighted Moving Average (WMA) Pada Metrojaya Komputer’, Jurnal Informatika: Jurnal Pengembangan IT, 4.2 (2019), 100 <https://doi.org/10.30591/jpit.v4i2.1373>

Ulfa, Alif, ‘Dampak Penggabungan Tiga Bank Syariah Di Indonesia’, Jurnal Ilmiah Ekonomi Islam, 7.2 (2021), 3 <https://doi.org/10.29040/jiei.v7i2.2680>

Downloads

Published

2025-02-27

Issue

Vol. 2 No. 1 (2025): Januari 2025

Section

Articles

Citation Check

License

  1. Authors certify that the work reported here has not been published before and contains no materials the publication of which would violate any copyright or other personal or proprietary right of any person or entity.
  2. Authors dont transfer or license the copyright of publishing to BIMA: Journal of Business Inflation Management and Accounting Research to publish the article in any media format, to share, to disseminate, to index, and to maximize the impact of the article in any databases.
  3. Authors hereby dont agree to transfer a copyright for publishing to BIMA: Journal of Business Inflation Management and Accounting a Publisher of the manuscript. 
  4. Authors reserve the following: 
    1. all proprietary rights other than copyright such as patent rights; 
    2. the right to use all or part of this article in future works of our own such as in books and lectures;
    3. use for presentation in a meeting or conference and distributing copies to attendees; 
    4. use for internal training by author's company;
    5. distribution to colleagues for their research use;
    6. use in a subsequent compilation of the author's works;
    7. inclusion in a thesis or dissertation;
    8. reuse of portions or extracts from the article in other works (with full acknowledgement of final article);
    9. preparation of derivative works (other than commercial purposes) (with full acknowledgement of final article); and
    10. voluntary posting on open web sites operated by author or author’s institution for scholarly purposes, but it should follow the open access license of Creative Common CC BY-NC License.