Prasetianti, Yunika Perancangan Sistem Prediksi Pelanggan Aktif yang Beresiko Churn pada Layanan Telekomunikasi. Project Report. Oxford University Press. (Submitted)
KP_IF_2025_2213006 - attachment.pdf
Restricted to Registered users only
Download (911kB)
KP_IF_2025_2213006 -reference.pdf
Restricted to Registered users only
Download (158kB)
KP_IF_2025_2213006 -conclusion.pdf
Restricted to Registered users only
Download (172kB)
KP_IF_2025_2213006 - chapter3.pdf
Restricted to Registered users only
Download (1MB)
KP_IF_2025_2213006 - chapter2.pdf
Restricted to Registered users only
Download (442kB)
KP_IF_2025_2213006 - chapter1.pdf
Restricted to Registered users only
Download (179kB)
KP_IF_2025_2213006 - Abstract.pdf
Restricted to Registered users only
Download (191kB)
KP-IF-2025-2213006-cover.pdf
Download (186kB)
KP_IF_2025_2213006 - complete.pdf
Restricted to Repository staff only
Download (2MB)
Abstract
Based on the work practice activities conducted, the author proposes the design of
a prediction system for active customers who are at risk of churn at PT Telkom
Indonesia Witel Sumbagsel. In the Business Service ELM division, the process of
recording churn and active customers is still carried out manually using Microsoft
Excel, making it less effective, prone to errors, and time-consuming in data
processing. To address this issue, the author proposes a system design that can
support data management and facilitate the monitoring of customers who are
potentially at risk of churn. This system design uses the Waterfall development
method and produces several design components, including the Data Flow
Diagram, Entity Relationship Diagram, Flowchart, and system interface design.
Keywords: Churn, DFD, ERD, Prediction, Telecommunications.
| Item Type: | Monograph (Project Report) |
|---|---|
| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T201 Patents. Trademarks |
| Depositing User: | Yunika Prasetianti |
| Date Deposited: | 30 Jul 2026 07:56 |
| Last Modified: | 30 Jul 2026 07:56 |
| URI: | https://eprints.ukmc.ac.id/id/eprint/15404 |
