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MONITORING VARIABILITAS PROSES BERDASARKAN STATISTIK WILKS

Jurnal Matematika, Statistika dan Komputasi · Vol. 16 No. 1 (2019) · hlm. 1–9

DOI
10.20956/jmsk.v16i1.6485
ISSN
2614-8811, 1858-1382
Terbit
2019-06-27
Penerbit
Department of Mathematics, Hasanuddin University
Bahasa
en

Abstrak

In a manufacturing industry quality problems often occur. One of the main cause is due to variability process. Variability process is a variation that occurs in the process, both in manufacturing and non-manufacturing processes. One method for monitoring variabiliti process is by using Wilks Statistics. Wilks statistics is a method that is used based on individual observations. This study aims to monitor the variability of the process and apply it to Electric Resistance Welded (ERW) pipes with the Wilks statistical method. In addition, a capability process analysis is also carried out when the Wilks control chart has been controlled. The result showed that all observations carried out individually were in control limit with a capability process of 2.5386, which means the process capability of ERW pipe production using a multivariate Wilks statistical control chart was capable and match with the specifications limit specified by company.

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  • Hasanuddin University
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Rekan penulisOrganisasiArtikel bersama
Georgina Maria TinungkiHasanuddin University7
Nurtiti SunusiHasanuddin University4
Anisa AnisaHasanuddin University4
Saleh AfAfiliasi tidak diketahui4
Iis Cendrah KasihHasanuddin University2
Andi Kresna JayaHasanuddin University2
Ratmila MammiAfiliasi tidak diketahui2
Sitti SahrimanAfiliasi tidak diketahui2
Nuralyatussa’ AdaAfiliasi tidak diketahui2
Rizki AdiputraHasanuddin University1
Sitti SahrimanHasanuddin University1
Ika FitrianaHasanuddin University1
Reski AmalahAfiliasi tidak diketahui1
Nur Alfianingsih RajaHasanuddin University1
Aqilah Salsabila RahmanAfiliasi tidak diketahui1
Anisa KalondengHasanuddin University1
Nurkamalia NurkamaliaAfiliasi tidak diketahui1
Riska RasyidHasanuddin University1
Mukrimin AdamAfiliasi tidak diketahui1
Nurhidaya LAfiliasi tidak diketahui1
Sonya SonyaAfiliasi tidak diketahui1
Rael Hofni TandirerungAfiliasi tidak diketahui1
Raupong RaupongHasanuddin University1
Nurul HikmahAfiliasi tidak diketahui1
Parida Ayu NingsiAfiliasi tidak diketahui1
Muhammad ZakirHasanuddin University1
Anna IslamiyatiHasanuddin University1
Muhammad Jayzul UsrahHasanuddin University1
Ummi SariHasanuddin University1
Fajar AffanHasanuddin University1
Alimatun NajihaHasanuddin University1
Fadhila Febriyanti NajamuddinHasanuddin University1
Mayashari MayashariHasanuddin University1
Anisa AnisaHasanuddin University1
Mustabsyirah MustabsyirahHasanuddin University1
Agung Muhammad TakdirHasanuddin University1
Nuravia NuraviaAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jmsk/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">MONITORING VARIABILITAS PROSES BERDASARKAN STATISTIK WILKS</dc:title>
	<dc:creator xml:lang="en">Barlian Sari, Suci</dc:creator>
	<dc:creator xml:lang="en">Tri Herdiani, Erna</dc:creator>
	<dc:creator xml:lang="en">Sirajang, Nasrah</dc:creator>
	<dc:description xml:lang="en">In a manufacturing industry quality problems often occur. One of the main cause is due to variability process. Variability process is a variation that occurs in the process, both in manufacturing and non-manufacturing processes. One method for monitoring variabiliti process is by using Wilks Statistics. Wilks statistics is a method that is used based on individual observations. This study aims to monitor the variability of the process and apply it to Electric Resistance Welded (ERW) pipes with the Wilks statistical method. In addition, a capability process analysis is also carried out when the Wilks control chart has been controlled. The result showed that all observations carried out individually were in control limit with a capability process of  2.5386, which means the process capability of ERW pipe production using a multivariate Wilks statistical control chart was capable and match  with the specifications limit specified by company.</dc:description>
	<dc:publisher xml:lang="en">Department of Mathematics, Hasanuddin University</dc:publisher>
	<dc:date>2019-06-27</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/jmsk/article/view/6485</dc:identifier>
	<dc:identifier>10.20956/jmsk.v16i1.6485</dc:identifier>
	<dc:source xml:lang="en">Jurnal Matematika, Statistika dan Komputasi; Vol. 16 No. 1 (2019): JMSK, July, 2019; 1-9</dc:source>
	<dc:source>2614-8811</dc:source>
	<dc:source>1858-1382</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jmsk/article/view/6485/3688</dc:relation>
	<dc:relation>10.20956/j.v16i1.6485.g3688</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2019 Jurnal Matematika, Statistika dan Komputasi</dc:rights>
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