PAYLOAD VALUE PREDICTION SYSTEM FOR PROVIDER USERS USING LINEAR REGRESSION METHOD (Case Study: PT Telkomsel Regional 3 West Java)

OVA, ZENNI WILDAN (2025) PAYLOAD VALUE PREDICTION SYSTEM FOR PROVIDER USERS USING LINEAR REGRESSION METHOD (Case Study: PT Telkomsel Regional 3 West Java). Tugas Akhir thesis, Informatics.

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Abstract

ABSTRACT This study aims to develop a weekly prediction system for Telkomsel provider users' payload values using the linear regression method. Historical data including weeks, tower codes, and payload values are analyzed to predict payload values in the coming week. The linear regression model used shows significant accuracy evaluated through the Mean Squared Error (MSE) and R-squared (R²) metrics. With this system, Telkomsel is expected to improve network management efficiency and provide better service to users. Keywords: (Linear regression, Python dash)

Item Type:	Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User:	Kaprodi S1 Informatika UTY
Date Deposited:	12 Apr 2025 04:06
Last Modified:	12 Apr 2025 04:06
URI:	http://eprints.uty.ac.id/id/eprint/17549

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