Web-Based Sales Forecasting Point-of-Sales System Using Simple Moving Average Method at Haka Farma Pharmacy | Jurnal Informatika Ekonomi Bisnis

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Web-Based Sales Forecasting Point-of-Sales System Using Simple Moving Average Method at Haka Farma Pharmacy

Rifqi Herlambang Informatics Engineering Department, Universitas Pelita Bangsa Dendy K Pramudito Informatics Engineering Department, Universitas Pelita Bangsa https://orcid.org/0000-0003-3079-8319 Ernanto Informatics Engineering Department, Universitas Pelita Bangsa https://orcid.org/0009-0006-0138-8651 DOI: https://doi.org/10.37034/infeb.v8i2.1466 Keywords: Point of Sales, Sales Forecasting, Simple Moving Average, Laravel, Information System Abstract POS-POS system is a POS which manages sales transactions, inventory, and daily sales reports at Haka Farma Pharmacy, but it has no sales forecasting capacity. Therefore, many judgment and judgment making processes often need to go through previous procurement to determine the inventory stocks. In order to resolve this issue, this study was aimed at creating a web-based POS system in combination with a sales forecasting component in conjunction with a simple moving average module. Development of the system is conducted using waterfall, which involves requirement analysis, system design, implementation, testing, and deployment of the system. The techniques employed were observational, staff interviews through pharmacy members, and through in-depth literature review. The system developed in PHP using the Laravel framework, was implemented through the MySQL database managers for system. The software's forecast module also uses SMA method to calculate the average sales volume over the last three months in order to estimate demand in the future. Functions testing and testing of system: user authentication, product management, sales transaction processing, reporting, forecasting, and error analysis were done. Testing results were not inconsistent with the specification; all the system related features were functioning as expected. From paracetamol sales data, we found a 253-unit rate expected for December 2025. The MAPE data shows strong forecasting in the form of 3.16% MAPE (Mean Absolute Percentage Error) indicating its predictive power in this study. This confirms that the developed forecasting module can assist in inventory planning, reducing uncertainty for all decision makers, and optimize operational efficiency with evidence-based control of stock in Haka Farma Pharmacy. Downloads Download data is not yet available. References Laksono, B., Atmojo, Y., Kadek, I., & Nuryana, D. (2025). Design of Inventory Stock Information System using Laravel Framework with FIFO Method. Journal of Emerging Information Systems and Business Intelligence, 6(3), 376–383. DOI: https://doi.org/10.26740/jeisbi.v6i3.70863 . Ekonomi, J. K., Bisnis, D., Manajemen, M. M., & Jakarta, P. (2023). Oikos-Nomos: Strategi UMKM dalam Menghadapi Digitalisasi. Jurnal Oikos-Nomos, 16. DOI: https://doi.org/10.37479/jkeb.v16i1.20799 . Aziz, F. N., et al. (2021). 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A Cross-Platform Payroll Information System for SMEs: An Agile-Scrum Approach at CV. Gema Syifa Engineering. INFEB, 7(4), 969–975.DOI:https://doi.org/10.37034/infeb.v7i4.1332 .	Download Published 2026-06-30 Issue Vol. 8, No. 2 (June 2026) Section Articles How to Cite Herlambang, R., Pramudito, D. K., & Ernanto. (2026). Web-Based Sales Forecasting Point-of-Sales System Using Simple Moving Average Method at Haka Farma Pharmacy. Jurnal Informatika Ekonomi Bisnis, 8(2), 514-521. https://doi.org/10.37034/infeb.v8i2.1466 ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX This work is licensed under a Creative Commons Attribution 4.0 International License.

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