Penentuaan Faktor  Pembelian Sepeda Bekas dengan Algoritma C4.5

Rika Harman; Tukino Tukino

Authors

Rika Harman Universitas Putera Batam
Tukino Tukino Universitas Putera Batam

Keywords:

C4.5 Algorithm, Purchase Factors, Used Bicycles

Abstract

In times of pandemic like now, everyone is advised to exercise a lot so they don't get sick easily and become infected with the virus. One of the sports that many people are interested in is cycling. A bicycle is a two-wheeled vehicle that is parallel, driven by a pedal connected to the rear wheel by a chain, and has handlebars for the steering wheel and bicycle seat. This, many customers who have bought used bicycles have complained about used bikes that have been purchased after using them for some time. Complaints submitted include, rough gear, bent wheels, and many other used bicycle problems. Of course this causes losses in terms of costs, time, energy, and the image of the Batam Bike Shop itself. With this problem, the researcher wants to provide a solution to the problems faced by motorcycle shops so far, namely by analyzing the data on used bikes that will be sold using one of the methods in the datamining technique, namely the C4.5 algorithm.

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