MEANS (Media Informasi Analisa dan Sistem)
Volume 6 Nomor 2

Implementasi Data Mining Metode C.45 untuk Memprediksi Peminat Kuota Internet pada Masa Covid 19

Heliyanti Susana (STMIK IKMI Cirebon)
Shanti Khofidoh (STMIK IKMI Cirebon)
Azhar Al Afghani (STMIK IKMI Cirebon)



Article Info

Publish Date
26 Jan 2022

Abstract

During the Covid 19 pandemic, Telering experienced an increase in sales and there were several internet SIM cards that consumers were less interested in. Various kinds of internet cards are sold and offered to attract consumers' attention, but it cannot be predicted which internet cards the consumers will be interested in. The C4.5 algorithm is a data classification algorithm with a decision tree technique that has advantages. These advantages, for example, can process numeric (continuous) and discrete data, can handle missing attribute values, produce easy rules. The results of the study explain that all providers including Telkomsel, Indosat, and axis are in demand by consumers. In analyzing using the C.45 algorithm with the Rapidminer Tools, the first is that the decision tree results in determining consumer interest are seen from the price, while the accuracy using the C.45 algorithm or decision tree produces an accuracy of 94.67%.

Copyrights © 2022






Journal Info

Abbrev

Jurnal_Means

Publisher

Subject

Computer Science & IT

Description

Jurnal MEANS berdiri sejak Tahun 2016 dengan SK dari LIPI yaitu p-ISSN : 2548-6985 (Print) dan e-ISSN : 2599-3089 (Online) Terbit dua kali setiap Tahunnya yaitu Periode I Bulan Juni dan Periode II Bulan Desember Hasil Plagirisme Maksimal 25%, Lebih dari 25% Artikel Tidak Bisa Publish. Ruang lingkup ...