Analisis Penerapan Business Intelligence dan Knowledge Management dalam Strategi Retensi Pelanggan pada Platform Streaming Netflix Indonesia
DOI:
https://doi.org/10.62951/repeater.v3i4.666Keywords:
Business Intelligence, Customer Loyalty, Knowledge Management, Netflix, Streaming IndustryAbstract
The development of digital technology has brought about significant transformations in the global entertainment industry, including in Indonesia. One manifestation of this change is evident in the presence of streaming platforms like Netflix, which have altered consumer consumption patterns for audio-visual content. This study aims to analyze how Netflix Indonesia utilizes Business Intelligence (BI) and Knowledge Management (KM) to maintain and increase customer loyalty. This research uses a qualitative descriptive method, collecting data from various scientific literature, industry reports, and relevant online sources. The results show that the implementation of BI enables Netflix to analyze user behavior, understand viewing preferences, and provide more personalized content recommendations. Meanwhile, KM plays a crucial role in internal knowledge management, content development, and service innovation. The synergy between BI and KM has been proven to support Netflix's strategy in improving user experience, retaining existing customers, and attracting new ones in the increasingly competitive Indonesian market.
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References
Asmawati, A., Anwar, M., & dkk. (2024). Penerapan SIMRS dengan knowledge management system: Solusi peningkatan mutu pelayanan kesehatan. Jurnal Kesehatan Tradisional, 2(1), 15–29. https://doi.org/10.47861/usd.v2i1.591
Asmawati, A., Wibowo, T., & Lestari, R. (2024). Peran knowledge management dalam peningkatan kinerja organisasi di era digital. Jurnal Manajemen dan Teknologi, 12(1), 33–45.
Cahyati, D., Prasetyo, H., & Mulyana, S. (2024). Penerapan business intelligence dalam pengambilan keputusan bisnis di Indonesia. Jurnal Sistem Informasi dan Bisnis, 9(2), 55–68.
Cahyati, N., & dkk. (2024). Penerapan business intelligence dengan artificial intelligence pada e-commerce. Sentri: Jurnal Ilmiah Teknologi Informasi, 3(6). https://doi.org/10.55681/sentri.v3i6.2904
Dewi, S. C., & dkk. (2022). Penerapan data science pada analisis data acara TV dan film pada aplikasi layanan streaming. Jurnal Teknologi dan Komunikasi, 4, 125–133.
Eryc, & dkk. (2024). Analisis penerapan teknologi manajemen informasi di Netflix Global: Optimalisasi pengalaman pengguna dan efisiensi operasional. Jurnal Teknologi Informasi, 1(1).
Hasan, F. N., & Sudaryana, I. K. (2022). Penerapan business intelligence & online analytical processing untuk data-data penelitian dan luarannya pada perguruan tinggi menggunakan Pentaho. Journal of Technology Information, 8(2). https://doi.org/10.37365/jti.v8i2.143
Hasan, M., & Sudaryana, A. (2022). Implementasi dashboard analytics dalam business intelligence untuk efisiensi operasional. Jurnal Teknologi dan Sistem Informasi, 11(4), 71–84.
Hermanto, E. A., & dkk. (2023). Analisis perbandingan penerapan business intelligence di Indonesia menggunakan metode systematic literature review. Djtechno: Jurnal Teknologi Informasi, 4(2). https://doi.org/10.46576/djtechno.v4i2.3412
Kiram, M., Putra, R., & Amalia, N. (2025). Knowledge management sebagai strategi inovasi bisnis digital. Jurnal Ilmu Manajemen dan Inovasi, 7(1), 45–56.
Kiram, S., & dkk. (2025). Penerapan knowledge management dalam pengembangan layanan perpustakaan perguruan tinggi. Alacrity: Journal of Education, 5(1). https://doi.org/10.52121/alacrity.v5i1.548
Mada, Y. P. (2025). Prediksi churn pelanggan di layanan streaming berbasis analisis perilaku. Jurnal Kajian Ilmu Manajemen, 5(1), 13–21. https://doi.org/10.21107/jkim.v5i1.29742
Sibarani, B. E., & dkk. (2024). Penggunaan data analitik dalam strategi pemasaran untuk mempertahankan loyalitas pelanggan. Manajemen, Pendidikan dan Teknologi Informasi, 3(1), 30–39. https://doi.org/10.33050/mentari.v3i1.592
Sihotang, R. S. J., & Indah, D. R. (2023). Pengembangan knowledge management system (KMS) layanan e-government menggunakan metode KMSLC. Indonesian Journal of Computer Science, 12(6). https://doi.org/10.33022/ijcs.v12i6.3573
Sudarsono, B. G., & dkk. (2021). Analisis data mining data Netflix menggunakan aplikasi RapidMiner. Jurnal Bisnis dan Sistem Ekonomi (JBASE), 4(1). https://doi.org/10.30813/jbase.v4i1.2729
Suhendar, A., & Hikmatunnisa, T. (2022). Penerapan business intelligence pada peluang jenis usaha baru usaha mikro kecil menengah dengan menggunakan teknologi online analytical processing. Jurnal Sistem Informasi, 9(2), 115–118. https://doi.org/10.30656/jsii.v9i2.5183
Suriansha, R. (2023). Pengaruh customer experience di era digitalisasi terhadap retensi pelanggan pada industri retail. Journal of Economics and Business UBS, 12(4). https://doi.org/10.52644/joeb.v12i4.269
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