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Relis Syahputra
Universitas Dehasen Bengkulu
Computer Science & IT

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Sales Forecasting System for Products at Dunio Petshop Using the Prophet Method Relis Syahputra; Maryaningsih Maryaningsih; Eko Suryana
Jurnal Komputer Indonesia Vol. 5 No. 3 (2026): September
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v5i3.1858

Abstract

Dunio Petshop has difficulty estimating sales quantities, causing inventory decisions to rely mainly on judgment and physical stock checks. This study aims to develop a web-based goods sales forecasting system using the Prophet method. The dataset consists of historical sales of 20 pet-food products from January to December 2025. Development follows the CRISP-DM stages and integrates PHP, MySQL, and Python. The system produces 120 forecasts for January-June 2026. Black Box Testing confirms that all major functions operate as required. MAPE evaluation places 15 products (75%) in the Fair category and 5 products (25%) in the Poor category; Catlife Salmon records the lowest MAPE at 22.72%, while Smartheart Cat records the highest at 72.26%. The system can support stock-planning decisions, while a longer historical series is required to improve forecasting accuracy
Co-Authors Eko Suryana Maryaningsih Maryaningsih