Implementasi Time Series Linear Regression untuk Prediksi Harga Genteng Pejaten Berbasis Web
DOI:
https://doi.org/10.46880/jmika.Vol10No1.pp293-301Keywords:
Forecasting, Linear Regression, Laravel, Price Prediction, Time SeriesAbstract
Fluctuations in the price of Pejaten roof tiles cause difficulties for consumers and building shops to estimate the budget for purchasing construction materials. In addition, price data management is still done manually, making historical price information difficult to obtain and analyze on an ongoing basis. This research aims to implement the Time Series Linear Regression method in a web-based Pejaten roof tile price prediction system to help consumers/users obtain price prediction information quickly and accurately. The system was developed using the Laravel framework, MySQL database, and Chart.js visualization. The research dataset uses 60 monthly historical data for the period January 2021 to December 2025. The research stages include data preprocessing, forming a linear regression model, prediction process, and evaluation using Mean Absolute Presentage Error (MAPE). Based on the test results, the MAPE value was 12.4%, so the model is in the good category for predicting prices. web-based interactive price trend system. The results of the research show that the Time Series Linear Regression method can be applied effectively for forecasting local material prices with light computing requirements
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