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Forecasting Analysis of Optimal Rice Stock Using The Modeleconomic Order Quantity (EOQ) at Perum BULOG Warehouse GBB Punggaloba, Kendari Barat District, Kendari City

Tekper : Jurnal Teknologi dan Manajemen Industri Pertanian · Vol. 4 No. 1 (2023) · pp. 1–13

DOI
10.33772/tekper.v4i1.29701
ISSN
2721-5709
Published
2023-04-04
Publisher
Jurusan Ilmu dan Teknologi Pangan, Fakultas Pertanian,
Language
eng

Abstract

This study aimed to analyze the forecasting of the optimal stock of rice using the economic order quantity (EOQ) model at the BULOG Warehouse GBB Punggaloba, West Kendari District, Kendari City. The research used forecasting methods through the Minitab 16 application and economic order quantity (EOQ) analysis. The inventory flow for Bulog warehouses comes from domestic rice procurement (DN). The procurement of DN rice is spread throughout Southeast Sulawesi Province. The results obtained are that in 2022, the rice supply that Perum BULOG Warehouse GBB Punggaloba must carry out is 5,323,696.04 kg, with a total economic order (EOQ) of 80,209.43 kg, an order frequency of 775 times, and a total inventory cost of Rp. 58,278,984,682.54. As for ensuring the stability of rice availability in 2022, Perum BULOG needs to prepare a total safety stock (SS) of 15,971,088.13, with an average of 1,330,924.01 kg/month, a maximum total supply (MI) of 16,051,297.57 kg, with an average of 1,337,608.13 kg/month, and for the continuity of supplies, it is necessary to determine the reorder point (ROP) with a total of 16,326,001.20 kg and an average of 1,360,500.10 kg/ month.

Keywords

Collaboration network of the authors

40 authors · 103 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Universitas Syiah Kuala
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhammad SyukriUniversitas Syiah Kuala8
Sakir SakirAffiliation unknown6
Rosmawaty RosmawatyAffiliation unknown4
Haji SaedimanUniversitas Halu Oleo3
Ikram IkramAffiliation unknown3
Fahria Nadiryati SadimantaraUniversitas Halu Oleo2
Surni SurniAffiliation unknown2
Sitti HAJJAH AwaliyahAffiliation unknown2
Weka Gusmiarty AbdullahUniversitas Halu Oleo2
Azhar BafadalUniversitas Halu Oleo2
SRI WAHYUNIAffiliation unknown2
Lisa LisaUniversitas Halu Oleo2
Munirwan ZaniUniversitas Halu Oleo1
Lukman YunusAffiliation unknown1
La Ode Arfan DeduAffiliation unknown1
Muhammad ZarestaUniversitas Halu Oleo1
Farah AmiratAffiliation unknown1
Muhammad Aswar LimiUniversitas Halu Oleo1
La RiandaAffiliation unknown1
Misnawati MisnawatiAffiliation unknown1
Muhamad SafarAffiliation unknown1
Darno DarnoAffiliation unknown1
Tamrin TamrinUniversitas Halu Oleo1
I Gede MardiantaAffiliation unknown1
Ilham La OdeAffiliation unknown1
Febriani FebrianiAffiliation unknown1
Asriani AsrianiUniversitas Halu Oleo1
Dhian HerdhiansyahAffiliation unknown1
Andi Rini WahyuniAffiliation unknown1
Jannatin JannatinAffiliation unknown1
Ayu Putri WahyuningsihAffiliation unknown1
Yusna IndarsihAffiliation unknown1
Munawir DiraeliAffiliation unknown1
Noval Ivandri RenggaalaAffiliation unknown1
Aldi HidayatAffiliation unknown1
Resen Yusmitha MustaharaAffiliation unknown1
resa pahlepiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/JMIP/oai, first harvested 30 Okt 2026, last seen 30 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Forecasting Analysis of Optimal Rice Stock Using The Modeleconomic Order Quantity (EOQ) at Perum BULOG Warehouse GBB Punggaloba,  Kendari Barat District, Kendari City</dc:title>
	<dc:creator>Bilmuminin, Bilmuminin</dc:creator>
	<dc:creator>Sarinah, Sarinah</dc:creator>
	<dc:creator>Indarsyih, Yusna</dc:creator>
	<dc:subject xml:lang="en-US">EOQ analysis, forecasting, optimal supply of rice</dc:subject>
	<dc:description xml:lang="en-US">This study aimed to analyze the forecasting of the optimal stock of rice using the economic order quantity (EOQ) model at the BULOG Warehouse GBB Punggaloba, West Kendari District, Kendari City. The research used forecasting methods through the Minitab 16 application and economic order quantity (EOQ) analysis. The inventory flow for Bulog warehouses comes from domestic rice procurement (DN). The procurement of DN rice is spread throughout Southeast Sulawesi Province. The results obtained are that in 2022, the rice supply that Perum BULOG Warehouse GBB Punggaloba must carry out is 5,323,696.04 kg, with a total economic order (EOQ) of 80,209.43 kg, an order frequency of 775 times, and a total inventory cost of Rp. 58,278,984,682.54. As for ensuring the stability of rice availability in 2022, Perum BULOG needs to prepare a total safety stock (SS) of 15,971,088.13, with an average of 1,330,924.01 kg/month, a maximum total supply (MI) of 16,051,297.57 kg, with an average of 1,337,608.13 kg/month, and for the continuity of supplies, it is necessary to determine the reorder point (ROP) with a total of 16,326,001.20 kg and an average of 1,360,500.10 kg/ month.</dc:description>
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	<dc:date>2023-04-04</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/JMIP/article/view/29701</dc:identifier>
	<dc:identifier>10.33772/tekper.v4i1.29701</dc:identifier>
	<dc:source xml:lang="en-US">Tekper : Jurnal Teknologi dan Manajemen Industri Pertanian; Vol 4, No 1 (2023): April - Tekper: Jurnal Teknologi dan Manajemen Industri Pertanian; 1 - 13</dc:source>
	<dc:source>2721-5709</dc:source>
	<dc:source>10.33772/tekper.v4i1</dc:source>
	<dc:language>eng</dc:language>
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	<dc:rights xml:lang="en-US">Copyright (c) 2023 Tekper : Jurnal Teknologi dan Manajemen Industri Pertanian</dc:rights>
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