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HOLT-WINTER METHOD FOR FORECASTING LIQUID ALUMINIUM SULFATE USAGE FOR PROBABILISTIC INVENTORY MODELING Q WITH ERLANG DISTRIBUTION

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 19 No. 1 (2025) · pp. 453–464

DOI
10.30598/barekengvol19iss1pp453-464
ISSN
2615-3017, 1978-7227
Published
2025-01-13
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Water is a natural resource important for life and daily activities. Water distributed by the Regional Drinking Water Company (PDAM) should include a coagulation process using liquid aluminum sulfate as a coagulant before it can be consumed. Therefore, this research aims to predict the need for liquid aluminum sulfate in PDAM from 2023 to 2024 using Holt-Winter's method. It also aims to evaluate the optimum liquid aluminum sulfate chemical inventory policy using Q probabilistic inventory model with Normal and erlang probabilistic distributions in PDAM. The data was obtained from Tirta Musi PDAM in Palembang City, Indonesia. The results of forecasting liquid aluminum sulfate demand level data with the Holt-Winter multiplicative method provide the smallest MAPE value. The erlang probability distribution assumption has been met through the Kolmogorov Smirnov test method. The erlang probabilistic inventory model provides a more optimal policy solution than the normal probabilistic inventory model, with minimum total cost and higher service level.

Collaboration network of the authors

33 authors · 107 co-authorship links · 3 across different organisations

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

  • Sriwijaya University
  • Politeknik Negeri Lhokseumawe
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Indrawati IndrawatiSriwijaya University4
Eka SusantiAffiliation unknown4
Novi Rustiana DewiAffiliation unknown4
Ahmad Farhan RamadhanAffiliation unknown4
Ahmad RindartoAffiliation unknown4
Sisca OctarinaSriwijaya University3
Robinson SitepuSriwijaya University2
Yusuf HartonoSriwijaya University2
Nadia Zuliaty SyaputriSriwijaya University2
Weni Dwi PratiwiSriwijaya University2
Divasanda ArmaliaAffiliation unknown2
Bambang SuprihatinAffiliation unknown2
Putra BJ BangunAffiliation unknown2
Endro Setyo CahyonoAffiliation unknown2
Anggi Nurul PratiwiSriwijaya University1
Icha Puspita NovyastiSriwijaya University1
Irmeilyana IrmeilyanaPoliteknik Negeri Lhokseumawe1
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 EliyatiAffiliation unknown1
Sri Indra MaiyantiAffiliation unknown1
Shaly Wanda HamidahAffiliation 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://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">HOLT-WINTER METHOD FOR FORECASTING LIQUID ALUMINIUM SULFATE USAGE FOR PROBABILISTIC INVENTORY MODELING Q WITH ERLANG DISTRIBUTION</dc:title>
	<dc:creator>Dwipurwani, Oki</dc:creator>
	<dc:creator>Puspita, Fitri Maya</dc:creator>
	<dc:creator>Supadi, Siti Suzlin</dc:creator>
	<dc:creator>Yuliza, Evi</dc:creator>
	<dc:creator>Qatrunnada, Dhiya</dc:creator>
	<dc:description xml:lang="en-US">Water is a natural resource important for life and daily activities. Water distributed by the Regional Drinking Water Company (PDAM) should include a coagulation process using liquid aluminum sulfate as a coagulant before it can be consumed. Therefore, this research aims to predict the need for liquid aluminum sulfate in PDAM from 2023 to 2024 using Holt-Winter's method. It also aims to evaluate the optimum liquid aluminum sulfate chemical inventory policy using Q probabilistic inventory model with Normal and erlang probabilistic distributions in PDAM. The data was obtained from Tirta Musi PDAM in Palembang City, Indonesia. The results of forecasting liquid aluminum sulfate demand level data with the Holt-Winter multiplicative method provide the smallest MAPE value. The erlang probability distribution assumption has been met through the Kolmogorov Smirnov test method. The erlang probabilistic inventory model provides a more optimal policy solution than the normal probabilistic inventory model, with minimum total cost and higher service level.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2025-01-13</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/14252</dc:identifier>
	<dc:identifier>10.30598/barekengvol19iss1pp453-464</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application; 453-464</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol19iss1year2025</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/14252/9569</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Oki Dwipurwani, Fitri Maya Puspita, Suzlin Supadi, Evi Yuliza, Dhiya Qatrunnada</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>