J-SAKTI (Jurnal Sains Komputer dan Informatika)
Vol 6, No 2 (2022): EDISI SEPTEMBER

Analisis Marketplace Shopee Untuk Memprediksi Penjualan dengan Algoritma Regresi Linier

Yusuf Syakir (Sekolah Tinggi Teknologi Wastukancana Purwakarta)
Teguh Iman Hermanto (Sekolah Tinggi Teknologi Wastukancana Purwakarta)
Yudhi Raymond Ramadhan (Sekolah Tinggi Teknologi Wastukancana Purwakarta)

Article Info

Publish Date
27 Sep 2022

Abstract

Many methods can be used to predict sales, one of which is the processing of sales data using the method of data mining with a linear regression algorithm. The data in this study used is data on sales of the Ariqa Collection Boutique in the Shopee marketplace starting from May 2020 to April 2022. By using a linear regression algorithm, the Ariqa Collection Boutique can predict sales estimates based on total visitors and total orders. The data mining method used is SEMMA (Sample, Explore, Modify, Model, Assess). With the Rapidminer Studio 9.10 tools the test results Mean Square Error (MSE) value is 5.172.628.212.404, Root Mean Square Error (RMSE) is 2.274.341, and Mean Absolute Percentage Error (MAPE) is 4.34%. Based on the MAPE value obtained, the accuracy of the linear regression algorithm in predicting sales of Ariqa Collection Boutique in the Shopee marketplace provides high accuracy

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Journal Info
J-SAKTI (Jurnal Sains Komputer dan Informatika)
Website

Abbrev

jsakti

Publisher

Sekolah Tinggi Ilmu Komputer Tunas Bangsa

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

Description

J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun ...