Conceptio › Archive › Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika metadata only

Membangun Model Prediksi Churn Pelanggan yang Akurat: Studi Kasus tentang TELCO Company

Andy Hermawan et al.
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika · Papers
Open Source ↗
machine-learning
Customer churn prediction models have become an important tool in the telecommunications industry to reduce churn rates and improve customer retention. This research focuses on building an accurate customer churn prediction model using machine learning algorithms for TELCO Company. By applying diver
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1066928
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive