Sales Forecasting System for Products at Dunio Petshop Using the Prophet Method

Authors

  • Relis Syahputra Universitas Dehasen Bengkulu
  • Maryaningsih Maryaningsih Universitas Dehasen Bengkulu
  • Eko Suryana Universitas Dehasen Bengkulu

DOI:

https://doi.org/10.37676/jki.v5i3.1858

Keywords:

MAPE, Prophet, Sales Forecasting

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

References

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Published

2026-09-11

How to Cite

Syahputra, R., Maryaningsih, M., & Suryana, E. (2026). Sales Forecasting System for Products at Dunio Petshop Using the Prophet Method. Jurnal Komputer Indonesia, 5(3), 183 – 192 . https://doi.org/10.37676/jki.v5i3.1858

Issue

Vol. 5 No. 3 (2026): September

Section

Articles

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Copyright (c) 2026 Relis Syahputra, Maryaningsih Maryaningsih, Eko Suryana

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

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