Sales prediction of Ono Cafe using Linear Regression

Mohamad Noor Khairul Azhillah, Danial Shah Iman (2025) Sales prediction of Ono Cafe using Linear Regression. [Student Project] (Unpublished)

Abstract

The goal of this project was to provide Ono Cafe with a comprehensive sales prediction dashboard. The main objective was to enhance decision-making and optimize production and inventory management by utilizing past sales data from 2023 and 2024 through predictive analytics. The project began with exploratory data analysis (EDA) to identify trends and patterns in the historical data, followed by the development of predictive models using RapidMiner, specifically applying linear regression analysis to forecast sales for 2025.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Mohamad Noor Khairul Azhillah, Danial Shah Iman
2022471226
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Rosmani, Arifah Fasha
arifah840@uitm.edu.my
Subjects: Q Science > QA Mathematics > Multivariate analysis. Cluster analysis. Longitudinal method > Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Information System (Hons.) Business Computing
Keywords: Ono Cafe, Prediction dashboard
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/133506
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