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PENERAPAN METODE REGRESI POLINOMIAL ORDE n PADA PENGEMBANGAN APLIKASI INVENTORY (STUDI KASUS PT. LANDIPO NIAGA RAYA)

SemanTIK: Teknik Informasi · Vol. 5 No. 1 (2019) · pp. 175–184

DOI
10.55679/semantik.v5i1.6027
ISSN
2502-8928, 2460-1446
Published
2019-06-30
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Inventory or inventory management system is one of the problems often faced by the distributor company. Processing and analyzing data on the sale of goods at the company is very important to get an overview and information about inventory data in the coming period by using sales data in the previous period, then an application or system is made with the Data Mining field with one of its predictions with using the Polynomial Regression method. This system predicts by selecting products, orders and periods with prediction results of 324,076 for Indomie Goreng Spesial Jumbo products. After making a prediction, a forecasting test is carried out by calculating the error value and relative errors with the result of error value = 2,595 and relative error = 1.82%.Keywords— Forecasting, Polynomial Regression, InventoryDOI: 10.5281/zenodo.3255112

Collaboration network of the authors

40 authors · 115 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 Gadjah Mada
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Jumadil NangiUniversitas Halu Oleo8
La SurimiUniversitas Halu Oleo5
Adha Mashur SajiahUniversitas Halu Oleo5
Bambang PramonoUniversitas Halu Oleo3
Umar RamdaniUniversitas Halu Oleo3
Gusti Arviana RahmanUniversitas Halu Oleo2
Andi TenriawaruUniversitas Halu Oleo2
Muhammad ArfanAffiliation unknown2
Arman ArmanUniversitas Halu Oleo2
Edi CahyonoUniversitas Halu Oleo2
Statiswaty StatiswatyUniversitas Halu Oleo2
Rahmat RamadhanUniversitas Halu Oleo2
L.M. Fid AksaraUniversitas Halu Oleo2
Yuwanda PurnamasariAffiliation unknown2
Dian Safitri DurukaUniversitas Halu Oleo1
Umu KhabibahUniversitas Halu Oleo1
Amal AnugraUniversitas Halu Oleo1
Gunawan GunawanUniversitas Halu Oleo1
La Ode Muhammad Hafidz Abdillah Sam MongkitoUniversitas Halu Oleo1
Budi Wijaya RaufUniversitas Halu Oleo1
Ferdinand Murni HamunduUniversitas Halu Oleo1
Fazlul Rachmat MubbaraqUniversitas Halu Oleo1
Sri Ayu LestariAffiliation unknown1
Achirul Slamet SugiartoAffiliation unknown1
La Ode SaidiAffiliation unknown1
Ferdinand Murni HamunduAffiliation unknown1
SahrulAffiliation unknown1
Edi WinarkoUniversitas Gadjah Mada1
Wa Ode ErmaliantiUniversitas Halu Oleo1
Mulatifa LalihaUniversitas Halu Oleo1
Sutardi SutardiUniversitas Halu Oleo1
Feri FadlinAffiliation unknown1
Suparjo SuparjoAffiliation unknown1
LM. Fid AksaraUniversitas Halu Oleo1
Muhammad Sadam HusainUniversitas Halu Oleo1
Muhammad Andi FathoniUniversitas Halu Oleo1
Uun Amalia RamadhaniUniversitas Halu Oleo1

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/semantik/oai, first harvested 29 Okt 2026, last seen 29 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">PENERAPAN METODE REGRESI POLINOMIAL ORDE n PADA PENGEMBANGAN APLIKASI INVENTORY  (STUDI KASUS PT. LANDIPO NIAGA RAYA)</dc:title>
	<dc:creator>Uyun, Fitria Rihin</dc:creator>
	<dc:creator>Jaya, La Ode Muh. Golok</dc:creator>
	<dc:creator>Ransi, Natalis</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:description xml:lang="en-US">Inventory or inventory management system is one of the problems often faced by the distributor company. Processing and analyzing data on the sale of goods at the company is very important to get an overview and information about inventory data in the coming period by using sales data in the previous period, then an application or system is made with the Data Mining field with one of its predictions with using the Polynomial Regression method. This system predicts by selecting products, orders and periods with prediction results of 324,076 for Indomie Goreng Spesial Jumbo products. After making a prediction, a forecasting test is carried out by calculating the error value and relative errors with the result of error value = 2,595 and relative error = 1.82%.Keywords— Forecasting, Polynomial Regression, InventoryDOI : 10.5281/zenodo.3255112</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2019-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<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/semantik/article/view/6027</dc:identifier>
	<dc:identifier>10.55679/semantik.v5i1.6027</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 5, No 1 (2019): semanTIK; 175-184</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v5i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/6027/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 semanTIK</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>