Authors:

I Gusti Putu Wisnu Wardhana, I Wayan Santiyasa

Abstract:

“Accurate sales to improve business planning and decision making. This study aims to design an information system that utilizes historical data and multiple linear regression algorithms to predict e-commerce sales. This study addresses the current challenges in forecasting uncertain sales by analyzing historical sales data and identifying relevant independent variables, such as marketing efforts, economic factors, and customer behavior. Through the implementation of a multiple linear regression algorithm, the system calculates the relationship between these variables and sales, enabling accurate predictions. The proposed information system provides valuable insights for businesses to optimize inventory management, marketing strategy and resource allocation. The experimental results show the effectiveness of the system in forecasting e-commerce sales, resulting in increased operational efficiency and revenue. This research contributes to the field of e-commerce analytics and assists businesses in making data-driven decisions for sustainable growth. Keywords: e-commerce, sales prediction, historical data, multiple linear regression, forecasting”

Keywords

e-commerce, sales prediction, historical data, multiple linear regression, forecasting

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PDF:

https://jurnal.harianregional.com/jnatia/full-102499

Published

2023-07-17

How To Cite

WARDHANA, I Gusti Putu Wisnu; SANTIYASA, I Wayan. Sistem Informasi Prediksi Penjualan E-Commerce Menggunakan Analisis Data Historis dan Algoritma MLR.Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 3, p. 893-900, july 2023. ISSN 3032-1948. Available at: https://jurnal.harianregional.com/jnatia/id-102499. Date accessed: 08 Jul. 2024.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 1 No 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License