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Peta Kendali p Berdasarkan Metode Peningkatan Transformasi Akar Kuadrat

ESTIMASI: Journal of Statistics and Its Application · Vol. 5 No. 1 (2024) · pp. 27–36

DOI
10.20956/ejsa.v5i1.18487
ISSN
2721-379X, 2721-3803
Published
2024-01-29
Publisher
Hasanuddin University
Language
en

Abstract

When the proportion of nonconformities is small, the effectiveness of the control chart performance becomes inadequate because it has a skewness that causes asymmetryc. Therefore, the Improved Square Root Transformation (ISRT) method is used to construct the attribute control chart to increase the accuracy of the chart control limit which is called the ISRT- control chart. In this study, the effectiveness of the ISRT- control chart perfomance is compared with the control chart after being applied to the data on the number of defects in the newspaper production process at PT. Radar Sulteng Membangun. The results showed that the production process at PT. Radar Sulteng Membangun was not in a statistically controlled and the ARL value obtained on the ISRT- control chart is much smaller than the ARL value for the control chart, so that the ISRT- chart is more effective and sensitive to detecting changes in the production process which produces in a small proportion of nonconformities.

Keywords

Collaboration network of the authors

40 authors · 133 co-authorship links · showing the 40 most connected

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  • Sultan Ageng Tirtayasa University
  • Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi
  • 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 unknown5
Nasrah SirajangAffiliation unknown4
Andi Isna YunitaAffiliation unknown3
Sitti SahrimanAffiliation unknown2
Anisa AnisaSultan Ageng Tirtayasa University2
Siswanto SiswantoAffiliation unknown2
Saleh AFAffiliation unknown2
Georgina M. TinungkiAffiliation unknown2
Andi Kresna JayaAffiliation unknown2
Nirwan IlyasAffiliation unknown2
Raupong RaupongAffiliation unknown1
Vieri KoerniawanAffiliation unknown1
Rizki AdiputraAffiliation unknown1
Ika FitrianaAffiliation unknown1
Anna IslamiyatiAffiliation unknown1
Novilia JaoAffiliation unknown1
Ratmila MammiAffiliation unknown1
Aqilah Salsabila RahmanAffiliation unknown1
Ika Pratiwi HayaAffiliation unknown1
Nurhidaya LAffiliation unknown1
Sonya SonyaAffiliation unknown1
Rael Hofni TandirerungAffiliation unknown1
Nuralyatussa’ adaAffiliation unknown1
- SiswantoAffiliation unknown1
Ayu Pratika PutriAffiliation unknown1
Annurial Fitrayah TaufiqAffiliation unknown1
Ahmad Maulana SyarifAffiliation unknown1
Nurmimie KharinaAffiliation unknown1
Samsir Aditya AniaAffiliation unknown1
Alimatun NajihaAffiliation unknown1
Fadhila Febriyanti NajamuddinAffiliation unknown1
Mayashari MayashariAffiliation unknown1
Herlina RasyidUniversitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi1
Nur Aliah RamadhaniAffiliation unknown1
Nadia Nazwadiah CaesarAffiliation unknown1
Zaraswati Dwyana ZainuddinAffiliation unknown1
Mustabsyirah MustabsyirahAffiliation 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) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Peta Kendali p Berdasarkan Metode Peningkatan Transformasi Akar Kuadrat</dc:title>
	<dc:creator xml:lang="en">Rasyid, Riska</dc:creator>
	<dc:creator xml:lang="en">Herdiani, Erna Tri</dc:creator>
	<dc:creator xml:lang="en">Sunusi, Nurtiti</dc:creator>
	<dc:subject xml:lang="en">p Control Chart</dc:subject>
	<dc:subject xml:lang="en">Improved Square Root Transformation</dc:subject>
	<dc:subject xml:lang="en">ISRT- p Control Chart</dc:subject>
	<dc:subject xml:lang="en">ARL</dc:subject>
	<dc:description xml:lang="en">When the proportion of nonconformities is small, the effectiveness of the   control chart performance becomes inadequate because it has a skewness that causes asymmetryc. Therefore, the Improved Square Root Transformation (ISRT) method is used to construct the   attribute control chart to increase the accuracy of the chart control limit which is called the ISRT-  control chart. In this study, the effectiveness of the ISRT-  control chart perfomance is compared with the   control chart after being applied to the data on the number of defects in the newspaper production process at PT. Radar Sulteng Membangun. The results showed that the production process at PT. Radar Sulteng Membangun was not in a statistically controlled and the ARL value obtained on the ISRT-  control chart is much smaller than the ARL value for the  control chart, so that the ISRT-  chart is more effective and sensitive to detecting changes in the production process which produces in a small proportion of nonconformities.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2024-01-29</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/18487</dc:identifier>
	<dc:identifier>10.20956/ejsa.v5i1.18487</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 5, No. 1, Januari, 2024 : Estimasi; 27-36</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/18487/11180</dc:relation>
</oai_dc:dc>