Inventory Planning and Control of Raw Materials using The Economic Order Quantity (EOQ) Method (Case Study : Hoolu Burger Cafe)
DOI:
https://doi.org/10.30872/jatri424653Keywords:
Forecasting, Inventory, Inventory Management, EOQAbstract
Inventory control is an important aspect in maintaining the continuity of the production process and minimizing a company's operational costs. Ineffective inventory management may lead to stock shortages or excess inventory, both of which can increase operational costs. Cafe Hoolu Burger is a food and beverage business that uses chicken and beef as the main raw materials in its production process. This study aims to determine the optimal order quantity and evaluate the efficiency of inventory costs using the Economic Order Quantity (EOQ) method. The forecasting methods used in this study include Moving Average, Weighted Moving Average, and Single Exponential Smoothing. The results show that the optimal order quantity is 52 packs for chicken and 79 packs for beef, with ordering frequencies of 24 times and 37 times, respectively, within a six-month period. The implementation of the EOQ method is able to reduce the total inventory cost compared to the company’s current policy. The total inventory cost for chicken decreases from Rp104,875 to Rp97,167, while the cost for beef decreases from Rp149,661 to Rp148,136. These results indicate that the EOQ method can improve the efficiency of inventory management in small-scale food businesses.
References
Apriyanti, Chyntia dkk. (2024). Analisis Pengendalian Persediaan Produk di PT Sinarmas Distribusi Nusantara Cabang Depok dengan Menggunakan Metode Economic Order Quantity Probabilistik. Jurnal Pendidikan Tertabatas Vol. 8 No. 1, 7878-7892.
Durohman, Hapid, Umi Kaltum, and Joval Ifghaniyafi Farras. 2023. Apakah Manajemen Persediaan Berpengaruh Pada Kepuasan Pelanggan : Tinjauan Sistematis Literatur. Jurnal Ekonomi dan Bisnis Vol. XIII No. 1: 139–53.
Harini, Dwi, and Lilia Sinta Wahyuniar. (2021). Estimasi Jumlah Murid Baru Menggunakan Metode Forecasting. Journal of Instructional Mathematics Vol 2 No 2, 64–70.
Hasriyanti, dan Aryo Prawoto Wibowo. (2020). Peramalan Kebutuhan Mangan Domestik Menggunakan Model Time Series dan Analisis Dampak Ekonomi Sektor Pertambangan Mangan Terhadap Perekonomian Nasional. Jurnal Geomine Vol. 8 No. 1, 25-31.
Hilman, Tamadara, dan Farhan Aini Budiarty. (2022). Analisis Pengendalian Persediaan Produk Skincare di PT RRI. Jurnal Bisnis dan Pemasaran Vol. 12 No. 2.
Laoli, Serius dkk. (2022). Penerapan Metode Economic Order Quantity (EOQ), Reorder Poimt (ROP), dan Safety Stock (SS) Dalam Mengelola Manajemen Persediaan di Grand Katika Gunungsitoli. Jurnal EMBA Vol. 10 No.4, 1269-1273.
Putri, dkk. (2021). Prediksi Harga Saham Menggunakan Metode Brown’s Weighted Exponential Moving Average dengan Optimasi Levenberg-Marquardt. Jurnal Nasional Elektro dan Teknologi Informasi Vol. 10 No. 1, 11-18.
Safitri, Salsa Zulfa dkk. (2024). Efisiensi Biaya Dalam Pengadaan Persediaan Bahan Baku dengan Metode Economic Order Quantity (EOQ). Jurnal Ilmiah Research Student Vol. 1 No. 3, 837-845.
Satria, Muhammad Habibie, dan Sinta Dewi. (2024). Analisis Sistem Manajemen Persediaan dengan Metode Economic Order Quantity (EOQ). Venus: Jurnal Publikasi Rumpun Ilmu Teknik Vol. 2 No. 1, 145-157.
Sinta, dkk. (2023). Analisa Perencanaan dan Pengendalian Persediaan Bahan Baku Kasur Busa dengan Metode EOQ (Economic Order Quantity) Pada PT. Kurnia Persada Mitra Mandiri. Jurnal of Accounting and Taxation Vol. 3 No. 3, 220-236.
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