Pemanfaatan Ai Dalam Automated Market Intelligence (Ami) Untuk Pengambilan Keputusan Strategis Di Era Digital
DOI:
https://doi.org/10.59188/jurnalsostech.v5i6.32254Keywords:
Artificial Intelligence, Automated Market Intelligence, Decision-Making, Business Strategy, Data AnalysisAbstract
In today's digital era, companies are expected to make decisions quickly and accurately in order to stay competitive in a rapidly changing market. One growing approach is the use of Artificial Intelligence (AI) in Automated Market Intelligence (AMI) systems. This study aims to explore how AI is applied in the process of automatically collecting and analyzing market data, and how it supports companies in developing business strategies. The research is based on a review of relevant literature and scientific publications, as well as analysis of case studies from companies that have implemented AI in their market intelligence processes. The findings show that AI can speed up data analysis, reduce decision-making errors, and provide more accurate market insights. This study is expected to serve as a useful reference for both business practitioners and researchers interested in understanding the role of AI in data-driven business strategies.
References
da Fonseca, A. L. A., & Campos, R. D. (2021). The cultural intertwining of consumption and entrepreneurship: A selective review of qualitative studies. Journal of Business Research, 135, 149–162. https://doi.org/10.1016/j.jbusres.2021.06.032
Kumar, P., & Saini, S. (2020). Market analysis using digital tools: A transformative shift for businesses. Journal of Strategic and International Studies, 8(2), 54-68. https://doi.org/10.1016/j.jsis.2020.05.004
Liu, S., Chen, H., & Zhao, L. (2022). The role of digital tools in accelerating business decisions: A case study in the retail sector. International Journal of Information Management, 62, 102398. https://doi.org/10.1016/j.ijinfomgt.2021.102398
Nguyen, T., & Kim, Y. (2021). Big data analytics and business performance: Evidence from emerging markets. Journal of Business Analytics, 8(1), 112-123. https://doi.org/10.1080/21573362.2020.1829821
Park, J., & Lee, S. (2021). Digital transformation in business operations: The case of market analysis and forecasting. Journal of Business and Technology, 45(4), 129-143. https://doi.org/10.1016/j.jbus.2021.04.014
Wu, X., Zhang, T., & Ma, Q. (2022). Real-time market analytics and decision-making: A technological approach for businesses. Journal of Business Research, 139, 204-214. https://doi.org/10.1016/j.jbusres.2021.09.012
Zhang, Y., Li, H., & Sun, W. (2023). The use of big data and analytics in decision-making processes in modern businesses. International Journal of Information Technology & Decision Making, 22(2), 191-210. https://doi.org/10.1142/S0219622022500135
Dewi, I. R., Ramadhan, F., & Ayumi, M. A. (2024). Sistem monitoring dan penyiraman otomatis tanaman srigading (Nyctanthes arbor-tristis) berbasis IoT (Internet of Things) dengan menggunakan sensor kelembapan tanah dan suhu ruang pada pot. INFOTECH: Jurnal Informatika dan Teknologi Informasi, 10(1), 19–27
Longo, F., & Padovano, A. (2020). Value-oriented and ethical technology engineering in Industry 5.0: A human-centric perspective for the design of the factory of the future. MDPI. https://www.mdpi.com/membranesmdpicom.pdf
Lubis, M. S. Y. (2021). Implementasi artificial intelligence pada sistem manufaktur terpadu. Seminar Nasional Teknik (SEMNASTEK) UISU, 4(1), 1–7.
Nugroho, R. H., Kusumasari, I. R., Febrianto, V., Farhan, M. A., & Mahardika, M. R. (2025). Strategi teknologi artificial intelligence (AI) dalam pengambilan keputusan bisnis di era digital. Jurnal Bisnis dan Komunikasi Digital, 2(2), 1–7. https://doi.org/10.47134/jbkd.v2i2.3476
Prabowo, O. H., Merthayasa, A., & Saebah, N. (2023). Pemanfaatan teknologi informasi dan manajemen perubahan pada kegiatan bisnis di era globalisasi. Syntax Idea, 5(7), 883–892.
Ramadhana, R. Z., & Nasution, M. I. P. (2024). Analisis dampak penerapan teknologi AI pada pengambilan keputusan strategis dalam sistem informasi manajemen. Jurnal Ilmiah Research and Development Student (JIS), 2(1), 161–168. https://doi.org/10.59024/jis.v2i1.579
Satrio, D. R. B., Mukhtar, U., & Abdi, M. A. A. (2025). Penerapan kecerdasan buatan dalam e-commerce: Efisiensi operasional, personalisasi pelanggan, dan tantangan etika. JATI (Jurnal Mahasiswa Teknik Informatika), 9(1). https://doi.org/10.36040/jati.v9i1.12398
Wang, A. L., Damartzis, T., Diethelm, S., Van Herle, J., & Marechal, F. (2018). Thermo-economic evaluation of sustainable biogas upgrading via solid-oxide electrolysis. Energy and Power Engineering, 12(4), 1607.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Akbaruddin, Yoga Herdian, Debi Irawan, Muhamad Iqbal, Febriyansyah Ramadhan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA). that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
