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

Susanti, Eka; Puspita, Fitri Maya; Yuliza, Evi; Supadi, Siti Suzlin; Dwipurwani, Oki; Dewi, Novi Rustiana; Ramadhan, Ahmad Farhan; Rindarto, Ahmad

doi:10.30598/barekengvol17iss3pp1215-1220

Open access Journal SINTA 3

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

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

DOI: 10.30598/barekengvol17iss3pp1215-1220
ISSN: 2615-3017, 1978-7227
Published: 2023-09-30
Publisher: PATTIMURA UNIVERSITY
Language: eng
License: creativecommons.org/licenses/by-sa/4.0

Abstract

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.

Collaboration network of the authors

40 authors · 118 co-authorship links · 3 across different organisations · showing the 40 most connected

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Sriwijaya University
Politeknik Negeri Lhokseumawe
Affiliation unknown

Different organisations
Same organisation
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Co-author	Organisation	Joint articles
Indrawati Indrawati	Sriwijaya University	4
Dhiya Qatrunnada	Affiliation unknown	4
Sisca Octarina	Sriwijaya University	3
Robinson Sitepu	Sriwijaya University	2
Yusuf Hartono	Sriwijaya University	2
Nadia Zuliaty Syaputri	Sriwijaya University	2
Weni Dwi Pratiwi	Sriwijaya University	2
Divasanda Armalia	Affiliation unknown	2
Bambang Suprihatin	Affiliation unknown	2
Putra BJ Bangun	Affiliation unknown	2
Endro Setyo Cahyono	Affiliation unknown	2
Anggi Nurul Pratiwi	Sriwijaya University	1
Icha Puspita Novyasti	Sriwijaya University	1
Irmeilyana Irmeilyana	Politeknik Negeri Lhokseumawe	1
Rahayu Tamy Agustin	Sriwijaya University	1
Sri Erlita	Sriwijaya University	1
Inosensius Nadeak	Sriwijaya University	1
Elika Kurniadi	Sriwijaya University	1
Yunita Yunita	Sriwijaya University	1
Shintya Apriliyani	Sriwijaya University	1
Ani Sahara Br. Simanjuntak	Sriwijaya University	1
Rima Melati	Sriwijaya University	1
Ning Eliyati	Affiliation unknown	1
Sri Indra Maiyanti	Affiliation unknown	1
Shaly Wanda Hamidah	Affiliation unknown	1
Sholihatun Nur Jannah	Affiliation unknown	1
Teguh Hardi Raharjo	Affiliation unknown	1
Isfie Sallsa Billa	Affiliation unknown	1
Aditya Kurniawan Effendi	Affiliation unknown	1
Anna Kania Widiatami	Affiliation unknown	1
Nurul Silva Lestari	Affiliation unknown	1
Galih Kartikasari	Affiliation unknown	1

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://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.

Original metadata (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>
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	<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>
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