ANALYSIS OF RICE INVENTORY CONTROL AT PT. DAYA TANI SEMBADA NGAWI DISTRICT

Dhiana Putri  Hastuti; Mubarokah Mubarokah; Mirza Andrian  Syah

doi:10.53067/ijomral.v2i6.154

Authors

Dhiana Putri Hastuti University of Pembangunan Nasional “Veteran” Jawa Timur
Mubarokah Mubarokah University of Pembangunan Nasional “Veteran” Jawa Timur
Mirza Andrian Syah University of Pembangunan Nasional “Veteran” Jawa Timur

DOI:

https://doi.org/10.53067/ijomral.v2i6.154

Keywords:

Holts Exponential Smoothing, EOQ, forecasting, inventory control

Abstract

The demand for rice fluctuates significantly along with the increase in population every year, making PT. Daya Tani Sembada, as a premium rice-producing company, must do planning to deal with changes in demand that will occur. This research aims to analyze rice demand forecasting and the optimal rice inventory. The method of determining the sample is purposive sampling, where the Director and Administrative Staff are vital informants. Demand forecasting was analyzed using the Double Exponential Smoothing (Holts) method and inventory control using Economic Order Quantity. The results showed that: 1) forecasting calculations show that the demand for rice in the next period is 33,367.38 tons; 2) inventory control calculations show that the company can prepare premium rice inventory of 29.89 tons, safety stock of 336.03 tons, ROP when rice inventory is at 779.47 tons, and TIC that must prepare amounting to IDR. 5,357,082,020, -, overall, demand for rice has increased by 8,662.58 tons from the previous period so that the company can increase production for the next period by the draft inventory control calculation

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References

Arsyad, L. (1993). Peramalan Bisnis. Yogyakarta: BPFE.

Badan Pusat Statistik Jakarta Pusat. (2022a). Jumlah Penduduk Pertengahan Tahun 2018-2022. Badan Pusat Statistik.

Badan Pusat Statistik Jakarta Pusat. (2022b). Produksi Padi Menurut Provinsi Tahun 2018-2022. Badan Pusat Statistik.

Chrisna, H dan Hernawaty. (2018). Analisis Manajemen Persediaan dalam Memaksimalkan Pengendalian Internal Persediaan pada Pabrik Sepatu Ferradini Medan. Jurnal Akuntansi Bisnis & Publik, 8(2); 82.

Caicedo Solano, N. E., García Llinás, G. A., & Montoya‐Torres, J. R. (2020). Towards The Integration of Lean Principles and Optimization for Agricultural Production Systems: A Conceptual Review Proposition. Journal of the Science of Food and Agriculture, 100(2), 453-464.

Heizer, J., dan Render, B. (2016). Manajemen Operasi. Jakarta: Salemba Empat.

Hutasuhut. A. H., W. Anggraeni, dan R. Tyasnurita. (2014). Pembuatan Aplikasi Pendukung Keputusan untuk Peramalan Persediaan Bahan Baku Produksi Plastik Blowing dan Inject menggunakan Metode ARIMA (Autoregressive Integrated Moving Average) di CV. Asia. Jurnal Teknik ITS, 3(2); 169-174.

Kusumastuti, I. D. (2014). Peranan Manajemen Logistik dalam Organisasi Publik. Jakarta: Universitas Terbuka.

Makridakis, S. G., S. C. Wheelwright, dan V. E. McGee. (1999). Metode dan Aplikasi Peramalan Jilid 1. Jakarta: Binarupa Aksara.

Maulidah, S. (2012). Pengantar Manajemen Agribisnis. Universitas Brawijaya Press.

Purnomo, H., dan L. P. Riani. (2018). Optimasi Pengendalian Persediaan. Fakultas Ekonomi Universitas Nusantara PGRI Kediri.

Rangkuti, F. (2004). Manajemen Persediaan. PT. Raja Grafindo Persada.

Salwa, N., N. Tatsara, R. Amalia, dan A. F. Zohra. (2018). Peramalan Harga Bitcoin menggunakan Metode ARIMA (Autoregressive Integrated Moving Average). Journal of Data Analysis, 1(1); 21-31.

Suarna, I. F., Sesario, R., Khasanah, S. P., Kom, M., Juhara, I. S., Abdul Munim, S. E., & SM, M. (2022). Manajemen Logistik. Cendikia Mulia Mandiri.

Tannady, H., J. M. J. Renwarin, A. N. D. Cora, dan E. Purwanto. (2021). Production Planning and Inventory Control of Atonic Fertilizer Products using Static Lot Sizing Method. IOP Conference Series: Earth and Environmental Science, 819(1).

Widjaja, W. et al. (2022). Manajemen Produksi & Operasi. Yayasan Cendikia Mulia Mandiri.

Willyanto, W., A. C. Sembiring, dan A. Sanjaya. (2019). Controlling Sugar Raw Material Supplies in The Bottled Beverage Industry. Journal of Physics: Conference Series, 1402(2).