PREDIKSI PENJUALAN PERLENGKAPAN OLAHRAGA MENGGUNAKAN ALGORITMA C4.5 (STUDI KASUS: FATIMA SPORT TEMBILAHAN)

Simple item page
dc.contributor.authorMaita, Titi Ri
dc.contributor.supervisorFatayat, Fatayat
dc.date.accessioned2022-06-15T07:43:37Z
dc.date.available2022-06-15T07:43:37Z
dc.date.issued2021-12
dc.description.abstractSports are exercises to strengthen and nourish the body (such as football, swimming, marathons) or activities that involve the physical and skills of individuals or teams, carried out for entertainment. FATIMA Sport Tembilahan has not analyzed its sales of sport equipment's so it does not know whether the products being sold are in great demand, either from the brands or types of products available as well as what products are selling well and what products are not selling well. This study aimed to build a system that could predict the sales of goods that were in demand and not in demand by using the C4.5 algorithm. The attributes used were the type of goods, types of sports, brands, prices, quantities and the resulting predictions are in demand and not in demand. This system designed use UML diagrams with the PHP programming language and MySQL database. The results of system testing that carried out using a confusion matrix against 54 sales data with best-selling and non-selling labels produce an accuracy rate of 85.19% .en_US
dc.description.sponsorshipJurusan Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.issnElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10536
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectPredictionen_US
dc.subjectC4.5 Algorithmen_US
dc.subjectSalesen_US
dc.subjectSports Equipmenten_US
dc.titlePREDIKSI PENJUALAN PERLENGKAPAN OLAHRAGA MENGGUNAKAN ALGORITMA C4.5 (STUDI KASUS: FATIMA SPORT TEMBILAHAN)en_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
TITI RI MAITA _compressed.pdf
Size:
224.04 KB
Format:
Unknown data format
Description:
artikel
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Sistem Infomasi