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All Journal Maeswara: Jurnal Riset Ilmu Manajemen dan Kewirausahaan
Sitti Sabiyya
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Analisis Optimalisasi Persediaan Bahan Baku Rumput Laut dengan Economic Order Quantity untuk Efisiensi Biaya pada Petani Rumput Laut di Tarakan Nurul Hidayat; Sitti Sabiyya; Indah Sari; Muhammad Syahril
Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan Vol. 3 No. 3 (2025): JUNI : Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/maeswara.v3i3.1761

Abstract

This study aims to analyze the optimization of seaweed seedling inventory management using the Economic Order Quantity (EOQ) method to enhance cost efficiency for farmers in Tarakan City. The research employs a quantitative descriptive approach, integrating EOQ with forecasting techniques (Moving Average and Exponential Smoothing) to predict raw material needs accurately. Data were processed using Microsoft Excel and POM-QM for Windows to ensure precision. The results indicate that EOQ yields an optimal order quantity of 878 ropes per order, with a frequency of 6 orders per year, a reorder point of 16 ropes, and a total inventory cost (TIC) of IDR 842,681. Compared to traditional methods (TIC IDR 2,132,083), EOQ reduces costs by 60.5%. Forecasting analysis reveals that Exponential Smoothing (MAPE 19.67%) outperforms Moving Average (MAPE 22.5%) in accuracy. These findings highlight EOQ’s effectiveness in minimizing waste, preventing stockouts, and improving productivity. The study provides practical insights for coastal small-scale farmers and policymakers in the marine sector.
Co-Authors Indah Sari Muhammad Syahril NURUL HIDAYAT