Implementasi Algoritma C4.5 Untuk Klasifikasi Penjualan Barang Di Swalayan Dutalia

LALO, Aprilianus Kristianus (2020) Implementasi Algoritma C4.5 Untuk Klasifikasi Penjualan Barang Di Swalayan Dutalia. Undergraduate thesis, Unika Widya Mandira.

[img] Text
COVER - ABSTRAK.pdf

Download (921kB)
[img] Text
BAB I.pdf

Download (121kB)
[img] Text
BAB II.pdf
Restricted to Repository staff only

Download (416kB)
[img] Text
BAB III.pdf
Restricted to Repository staff only

Download (611kB)
[img] Text
BAB IV.pdf
Restricted to Repository staff only

Download (562kB)
[img] Text
BAB V.pdf
Restricted to Repository staff only

Download (888kB)
[img] Text
BAB VI - DAFTAR PUSTAKA.pdf

Download (155kB)

Abstract

The retail companies, including Dutalia Supermarket, are required to take the right decision in marketing strategy by observing market condition. However, the supermarket often has a difficulty to predict numbers of product sale, even it doesn’t have a special technique to predict the numbers of sale for the future. So, it causes the supermarket can’t determine minimum number of supplies. Because of that, this research is made to build a system that applying C4.5 algorithm to proccess a big data of products sale to see pattern of sale. Based on decision tree, a prediction of new collection of products sale data can be made. So, Dutalia Supermarket can determines minimum numbers of supplies. The research uses six atributes, they are kinds of product, price, total of products sale, time of sale, moment of sale, and sales status as the target atribute. Based on data training and prediction data test using RapidMiner Studio Version 9.7 application, the accuration of the calculation reaches 100%, so it can be concluded that the established system can be used to predict products sale in the future.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Dutalia Supermarket, C4.5 Algorithm, Decision Tree, Products Selling Prediction
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Fakultas Teknik > Program Studi Ilmu Komputer
Depositing User: ST.,MM Inggrit Junita Palang Ama
Date Deposited: 30 Nov 2021 02:25
Last Modified: 30 Nov 2021 02:25
URI: http://repository.unwira.ac.id/id/eprint/4650

Actions (login required)

View Item View Item