Skripsi

PENGELOMPOKAN KEBUTUHAN UPGRADE BANDWIDTH PADA PELANGGAN BROADBAND INTERNET MENGGUNAKAN ALGORITMA K-MEANS

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Penilaian

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Insufficient bandwidth capacity is one of the main factors contributing to the decline in the quality of internet services received by customers. Internet Service Providers (ISPs) need to consider many factors before determining which customers require a bandwidth capacity upgrade. This research aims to cluster potential bandwidth upgrade needs for broadband internet customers by applying the K-Means clustering algorithm with and without data normalization using the MinMax Normalization method. The data for this study comprises active customer data from PT Djaya Sampoerna Net up to December 2023. The clustering process results in four clusters for non-normalized data with a DBI value of 0.4103, and two clusters for normalized data with a DBI value of 0.7742. The results of this study indicate that the quality of data clustering based on the DBI evaluation metric is not very good (not close to zero) and that the data normalization can have a negative impact on the clustering process of broadband internet customers using the K-Means algorithm.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407005255	T155428	T1554282024	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1554282024

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xv, IV-2 hlm.; ilus.; tab, 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.678 07

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

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Subject(s)

Internet
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEW

Other version/related

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