Journal of Data Science and Information System
Vol. 1 No. 1 (2023): Volume 1 Number 1 February 2023

Implementation of Moving Average for Forecasting Inventory Data Using CodeIgniter

Fikri Hamidy (Universitas Teknokrat Indonesia)
Ikbal Yasin (Universitas Teknokrat Indonesia)



Article Info

Publish Date
01 Feb 2023

Abstract

The purpose of this study is to be able to apply a manual inventory forecasting system with the moving average method in order to speed up the decision-making process and be able to minimize the error rate in calculating stock in the warehouse. The results of inventory forecasting in 2023 have an average of 192 for 116 BR animal feed items. Based on the results of calculating the average amount, a satisfaction level of 3,825 was obtained and if you follow the reference of Kaplan and Norton satisfaction level, the conclusion that can be drawn is that the level of user satisfaction with the inventory application is included in the satisfied category. So that the indications shown are positive from the PIECES model, namely users are satisfied with this inventory application.

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Journal Info

Abbrev

dimis

Publisher

Subject

Computer Science & IT Engineering

Description

Journal of Data Science and Information System (DIMIS) is a peer-review journal focusing on Data Science and Information System issues. Journal of Data Science and Information System (DIMIS) invites academics and researchers who do original research in data science and information system. Journal of ...