Controlling Vaname Shrimp (Litopenaeus Vannamei) Raw Material Inventories (Case Study at PT. Grahamakmur Ciptapratama Sidoarjo)


Pengendalian Persediaan Bahan Baku Udang Vaname (Litopenaeus Vannamei) (Studi Kasus Di PT. Grahamakmur Ciptapratama Sidoarjo)


  • (1) * Iffan Maflahah            Universitas Trunojoyo Madura  
            Indonesia

  • (2)  Amalia Wahyu Pratiwi            Universitas Trunojoyo Madura  
            Indonesia

  • (3)  Asfan            Universitas Trunojoyo Madura  
            Indonesia

    (*) Corresponding Author

Abstract

Raw material inventory control is used to place orders and ensure that shrimp raw materials arrive in a timely manner in accordance with consumer demand. This will expedite the course of the production process. This research was conducted at PT. Grahamakmur Ciptapratama Sidoarjo with the aim of knowing and analyzing the control of raw red ginger in frozen shrimp products. The method used is the Economic Order Quantity (EOQ) Method with the Lot For Lot (LFL) Technique. In addition, safety stock analysis, Maximum Inventory, warehouse capacity and Reorder Point analysis were carried out. The results of the study showed that inventory costs using the EOQ technique were lower than the company method or using the LFL technique. The EOQ technique produces an inventory cost of IDR 292,591.00 in 2017 with an order frequency of 105 times and in 2018 of IDR 289,750.00 with a booking frequency of 116 times. In the LFL technique inventory costs are more expensive, but the planning technique in the LFL method can be applied by companies in anticipation of raw material inventory if there is a small inventory. If the company applies the EOQ method, the company purchases raw materials in a larger amount, but the warehouse capacity in the company can still be met, this can be seen from the calculation of Maximum Inventory and warehouse capacity.

References

Efintya, T., 2018. Penerapan Metode Economic Order Quantity (EOQ) Dalam Optimalisasi Persediaan Alumina: Universitas Sumatera Utara. Skripsi.

Ernita’T., Nasution’ A’S dan Tanjung’D” 2019’ Analisa Pengendalian Persediaan Bahan Baku Pada PT. Incasi Raya Pesisir Selatan: Jurnal Sains dan Teknologi, 19 (1), 1-7.

Fachrurrozi’F dan Almahdy’ I” 2016’ Lot Sizing Material Requirement Planning pada Produk Tipe Wall Mounting di Industri Box Panel: Penelitian dan Aplikasi Sistem dan Teknik Industri, 10 (3), 279-293.

Gazali’I., Mu’tamar’ M’F’F dan Banun’ D’P” 2015’ Model Pengadaan Bahan Baku Kurma Salak Menggunakan Teknik Lot for Lot : Jurnal Agrointek, 9 (1), 42-49.

Ginting, R., 2007. Sistem Produksi: Yogyakarta. Graha ilmu.

Gitosudarmo, I., 2002. Manajemen Keuangan: Yogyakarta. Penerbit Bhakti Profesindo.

Heizer, Jay dan Render, B., 2010. Manajemen Operasi. Edisi Sembilan: Jakarta, Salemba Empat.

Nasution, A. H dan Yudha, P., 2006. Perencanaan dan Pengendalian Produksi: Yogyakarta. Graha Ilmu.

Sampeallo’Y’G” 2012’ Analisis Pengendalian Persediaan Pada UD. Bintang Furniture Sangasanga: Jurnal Eksis, 8 (1), 2032-2035.

Saragi’G’M dan Setyorini’ R” 2014’ Analisis Pengendalian Persediaan Bahan Baku Daging Dan Ayam Dengan Menggunakan Metode Economic Order Quantity (EOQ) Pada Restoran Steak Ranjang Bandung: Jurnal Proceeding of Management, 1 (3), 542-553.

Soegihardjo’O” 1999’ Studi Kasus Perbandingan Antara “Lot For Lot” dan “Ecomic Order Quantity” Sebagai Metode Perencanaan Penyediaan Bahan Baku: Jurnal Teknik Mesin, 1 (2), 151-155.

Umami’D’M., Mu’tamar’ M’F’F dan Rakhmawati’R” 2018’ Analisis Efisiensi Persediaan Menggunakan Metode EOQ (Economic Order Quantity) Pada PT. XYZ: Jurnal Agroteknologi, 12 (1), 64-70.

Yamit, Z., 2003. Manajemen Produksi dan Operasi: Yogyakarta. Penerbit Ekonisia.

Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2021-03-10
 
How to Cite
Maflahah, I., Pratiwi, A. W., & Asfan. (2021). Controlling Vaname Shrimp (Litopenaeus Vannamei) Raw Material Inventories (Case Study at PT. Grahamakmur Ciptapratama Sidoarjo). PROZIMA (Productivity, Optimization and Manufacturing System Engineering), 4(1), 37-46. https://doi.org/10.21070/prozima.v4i1.1273
Section
Articles