Journal of Artificial Intelligence and Digital Business
Vol. 4 No. 2 (2025): Mei - Juli

Improving Inventory Efficiency: A Case Study on the Application of Economic Order Quantity (EOQ) in Coffee Raw Material Management at PT. Toarco Jaya

Mangando, Yuni Putri (Unknown)
Mongan , Benyamin (Unknown)
Jaya, Amir (Unknown)



Article Info

Publish Date
05 Jul 2025

Abstract

This study aims to analyze and optimize the inventory control system of raw coffee bean materials at PT. Toarco Jaya Toraja Utara by applying the Economic Order Quantity (EOQ) model, along with Safety Stock and Reorder Point (ROP) calculations. The research adopts a quantitative descriptive approach using 2023 procurement and inventory data. The analysis reveals that the implementation of the EOQ method significantly reduces total inventory costs from IDR 4,395,696.33 to IDR 3,384,950.59 per year, achieving a cost efficiency of 22.99%. Moreover, the order frequency decreases from nine times to four times per year, indicating improved operational efficiency. The calculated safety stock of 225.88 kg and a reorder point of 516.30 kg further ensure inventory availability and continuity of production. These findings support the adoption of a data-driven inventory strategy, contributing to cost minimization and production reliability.

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Journal Info

Abbrev

RIGGS

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

Description

Journal of Artificial Intelligence and Digital Business (RIGGS) is published by the Department of Digital Business, Universitas Pahlawan Tuanku Tambusai in helping academics, researchers, and practitioners to disseminate their research results. RIGGS is a blind peer-reviewed journal dedicated to ...