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OPTIMIZATION OF RICE INVENTORY USING FUZZY INVENTORY MODEL AND LAGRANGE INTERPOLATION METHOD

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 3 (2023) · hlm. 1215–1220

DOI
10.30598/barekengvol17iss3pp1215-1220
ISSN
2615-3017, 1978-7227
Terbit
2023-09-30
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Interpolation is a method to determine the value that is between two values and is known from the data. In some cases, the data obtained is incomplete due to limitations in data collection. Interpolation techniques can be used to obtain approximate data. In this study, the Lagrange interpolation method of degree 2 and degree 3 is used to interpolate the data on rice demand. A trapezoidal fuzzy number expresses the demand data obtained from the interpolation. The other parameters are obtained from company data related to rice supplies and are expressed as trapezoidal fuzzy numbers. The interpolation accuracy rate is calculated using Mean Error Percentage (MAPE). The second-degree interpolation method produces a MAPE value of 30.76 percent, while the third-degree interpolation has a MAPE of 32.92 percent. The quantity of order respectively 202677 kg, 384610 kg, 1012357 kg, 1447963 kg, and a Total inventory cost of Rp. 129231797951.

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Rekan penulisOrganisasiArtikel bersama
Indrawati IndrawatiSriwijaya University4
Dhiya QatrunnadaSriwijaya University4
Irmeilyana IrmeilyanaSriwijaya University3
Sisca OctarinaSriwijaya University3
Robinson SitepuSriwijaya University2
Indrawati - IndrawatiAfiliasi tidak diketahui2
Yusuf HartonoSriwijaya University2
Nadia Zuliaty SyaputriSriwijaya University2
Weni Dwi PratiwiSriwijaya University2
Putra BJ BangunAfiliasi tidak diketahui2
Bambang SuprihatinSriwijaya University2
Divasanda ArmaliaSriwijaya University2
Endro Setyo CahyonoSriwijaya University2
Fridha Aprisa RahayuSriwijaya University2
Anggi Nurul PratiwiSriwijaya University1
Icha Puspita NovyastiSriwijaya University1
Rahayu Tamy AgustinSriwijaya University1
Sri ErlitaSriwijaya University1
Inosensius NadeakSriwijaya University1
Elika KurniadiSriwijaya University1
Yunita YunitaSriwijaya University1
Shintya ApriliyaniSriwijaya University1
Ani Sahara Br. SimanjuntakSriwijaya University1
Rima MelatiSriwijaya University1
Ning EliyatiSriwijaya University1
Sri Indra MaiyantiSriwijaya University1
Shaly Wanda HamidahSriwijaya University1
Ferani Eva ZulviaAfiliasi tidak diketahui1
Fitra Nur AzizahAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">OPTIMIZATION OF RICE INVENTORY USING FUZZY INVENTORY MODEL AND LAGRANGE INTERPOLATION METHOD</dc:title>
	<dc:creator>Susanti, Eka</dc:creator>
	<dc:creator>Puspita, Fitri Maya</dc:creator>
	<dc:creator>Yuliza, Evi</dc:creator>
	<dc:creator>Supadi, Siti Suzlin</dc:creator>
	<dc:creator>Dwipurwani, Oki</dc:creator>
	<dc:creator>Dewi, Novi Rustiana</dc:creator>
	<dc:creator>Ramadhan, Ahmad Farhan</dc:creator>
	<dc:creator>Rindarto, Ahmad</dc:creator>
	<dc:description xml:lang="en-US">Interpolation is a method to determine the value that is between two values and is known from the data. In some cases, the data obtained is incomplete due to limitations in data collection. Interpolation techniques can be used to obtain approximate data. In this study, the Lagrange interpolation method of degree 2 and degree 3 is used to interpolate the data on rice demand. A trapezoidal fuzzy number expresses the demand data obtained from the interpolation.&amp;nbsp; The other parameters are obtained from company data related to rice supplies and are expressed as trapezoidal fuzzy numbers. The interpolation accuracy rate is calculated using Mean Error Percentage (MAPE). The second-degree interpolation method produces a MAPE value of 30.76 percent, while the third-degree interpolation has a MAPE of 32.92 percent. The quantity of order  &amp;nbsp;respectively&amp;nbsp; 202677 kg, 384610 kg, 1012357 kg, 1447963 kg, and a Total inventory cost of Rp. 129231797951.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-09-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7582</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss3pp1215-1220</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications; 1215-1220</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss3year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7582/6536</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Eka Susanti, Fitri Maya Puspita, Evi Yuliza, Siti Suzlin Supadi, Oki Dwipurwani, Novi Rustiana Dewi, Ahmad Farhan Ramadhan, Ahmad Rindarto</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>