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Forecasting Simcard Demand Using Linear Regression Method



This research aims to analyze and forecast the monthly demand for SIM cards at Sinar X-Sis Cell Pekanbaru for the period of 25 to 48 months ahead, specifically from January 2022 to December 2023. The analysis is based on 24 months of sales data spanning from January 2020 to December 2021. The methodology employed is Linear Regression, processed through both manual calculations and testing using Google Colaboratory. The findings indicate an increase in demand for the KP03 package card, whereas the KP01, KP02, KP04, and KP05 SIM cards are projected to experience a decrease in demand in the future. The implementation of the Linear Regression method involved testing and forecasting calculations using Google Colaboratory tools, resulting in graphical representations that illustrate the anticipated increases and decreases in sales for each SIM card from January 2022 to December 2023. With these improvements, the abstract provides a clearer and more detailed overview of the research's objectives, methods, and findings.


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Publisher IT Journal Research and Development : Indonesia.,
Collation
005.2
Language
English
ISBN/ISSN
2528-4053
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NONE
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Statement of Responsibility

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