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Perbandingan Peta Kendali Poisson Double Progressive Mean dan Peta Kendali u pada Produksi Roti di Pakbatteang Mandiri

ESTIMASI: Journal of Statistics and Its Application · Vol. 7 No. 1 (2026) · pp. 54–65

DOI
10.20956/ejsa.v7i1.35636
ISSN
2721-379X, 2721-3803
Published
2026-05-05
Publisher
Hasanuddin University
Language
en

Abstract

Pakbatteang Mandiri is a company that operates in the food industry by producing bread, but the bread production process shows that there are defects in the product so a control chart is needed to monitor the number of production defects. Control charts that are suitable for use for calculated data such as the number of production defects are control charts based on the Poisson distribution such as the u control chart and the Poisson Double Progressive Mean control chart. This research aims to obtain a comparison of the Poisson Double Progressive Mean control chart and the u control chart for bread production in Pakbatteang Mandiri. The results of this research show that the Poisson Double Progressive Mean control chart detects more observation points that are out of control when compared to the u control chart. Based on the relatively small ARL value, the performance of the Poisson Double Progressive Mean control chart is more sensitive in detecting out of control than the u control chart.

Keywords

Collaboration network of the authors

16 authors · 31 co-authorship links

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  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Georgina Maria TinungkiAffiliation unknown2
Erna Tri HerdianiAffiliation unknown2
Iis Cendrah KasihAffiliation unknown1
Andi Kresna JayaAffiliation unknown1
Reski AmalahAffiliation unknown1
Ratmila MammiAffiliation unknown1
Nur Alfianingsih RajaAffiliation unknown1
Anisa KalondengAffiliation unknown1
Nurkamalia NurkamaliaAffiliation unknown1
Sitti SahrimanAffiliation unknown1
Mukrimin AdamAffiliation unknown1
Nuralyatussa’ adaAffiliation unknown1
Nurul HikmahInstitut Agama Islam Negeri Kendari1
Raupong RaupongAffiliation 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://journal.unhas.ac.id/index.php/ESTIMASI/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Perbandingan Peta Kendali Poisson Double Progressive Mean dan Peta Kendali u pada Produksi Roti di Pakbatteang Mandiri</dc:title>
	<dc:creator xml:lang="en">Ningsi, Parida Ayu</dc:creator>
	<dc:creator xml:lang="en">Sirajang, Nasrah</dc:creator>
	<dc:subject xml:lang="en">u Control Chart</dc:subject>
	<dc:subject xml:lang="en">Control chart</dc:subject>
	<dc:subject xml:lang="en">Poisson Double Progressive Mean Control chart</dc:subject>
	<dc:subject xml:lang="en">Out of Control</dc:subject>
	<dc:subject xml:lang="en">ARL</dc:subject>
	<dc:description xml:lang="en">Pakbatteang Mandiri is a company that operates in the food industry by producing bread, but the bread production process shows that there are defects in the product so a control chart is needed to monitor the number of production defects. Control charts that are suitable for use for calculated data such as the number of production defects are control charts based on the Poisson distribution such as the u control chart and the Poisson Double Progressive Mean control chart. This research aims to obtain a comparison of the Poisson Double Progressive Mean control chart and the u control chart for bread production in Pakbatteang Mandiri. The results of this research show that the Poisson Double Progressive Mean control chart detects more observation points that are out of control when compared to the u control chart. Based on the relatively small ARL value, the performance of the Poisson Double Progressive Mean control chart is more sensitive in detecting out of control than the u control chart.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2026-05-05</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://journal.unhas.ac.id/index.php/ESTIMASI/article/view/35636</dc:identifier>
	<dc:identifier>10.20956/ejsa.v7i1.35636</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 7, No. 1, Januari, 2026 : Estimasi; 54-65</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/35636/14381</dc:relation>
</oai_dc:dc>