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Rancangan Faktorial Model Campuran Menggunakan Metode Maksimum Likelihood

ESTIMASI: Journal of Statistics and Its Application · Vol. 3 No. 1 (2022) · pp. 23–32

DOI
10.20956/ejsa.vi.11406
ISSN
2721-379X, 2721-3803
Published
2022-02-01
Publisher
Hasanuddin University
Language
en

Abstract

Variance is the amount of statistics which measures how far a set of numbers in observation are spread out from its mean. In experimental design, variance are caused by the effect of treatment, block and error of experimental can be estimated by variability of error that commonly referred to variance component. In this study, the maximum likelihood method with Hartley Rou modification was used followed by the Newton Raphson method which was applied to a complete randomized block factorial design mixed model with factor A being fixed and factor B being random. The results of this study for rice production data showed that there is a significant effect on the interaction of genotype and location on rice production. The estimated value of the variance component obtained indicates that there are variations in the influence of location factors, and genotype and location interaction factors on rice production.

Keywords

Collaboration network of the authors

38 authors · 87 co-authorship links

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

  • Sultan Ageng Tirtayasa University
  • 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
Nirwan IlyasAffiliation unknown5
Anna IslamiyatiAffiliation unknown4
La Podje TalangkoAffiliation unknown3
Sitti SahrimanAffiliation unknown3
A.Muthiah Nur AngrianyAffiliation unknown2
Nurtiti SunusiAffiliation unknown2
Nasrah SirajangAffiliation unknown2
Zhazha Alifkhamulki RamdhaniAffiliation unknown1
Samsul ArifinAffiliation unknown1
Andi Sitti Fahmi Riyanti HufainiAffiliation unknown1
Rusydah KhaeratiAffiliation unknown1
Dwicahyo Ramadhan PriyatnaAffiliation unknown1
Vieri KoerniawanAffiliation unknown1
Grace Oktavia YusufAffiliation unknown1
Dewi Rahma EnteAffiliation unknown1
Fitriatusakiah FitriatusakiahAffiliation unknown1
Georgina Maria TinungkiAffiliation unknown1
Andi Isna YunitaAffiliation unknown1
Anisa AnisaSultan Ageng Tirtayasa University1
Najiha AlimatunAffiliation unknown1
Reski AmalahAffiliation unknown1
Fitri AnnisaAffiliation unknown1
Muhammad FadilAffiliation unknown1
Nur Fuadil Maqnun WahabAffiliation unknown1
Nurtit SunusiAffiliation unknown1
Ainul FajriAffiliation unknown1
Anisa Haura Salsa Fatih YusufAffiliation unknown1
Ika Pratiwi HayaAffiliation unknown1
Andi Ummi Melin Aicha AichaAffiliation unknown1
Asnidar AsnidarAffiliation unknown1
Wa Ode Sitti Amni AmniAffiliation unknown1
Nurul HikmahInstitut Agama Islam Negeri Kendari1
Amalia AndrianingrumAffiliation unknown1
Fauziah NurhidayahAffiliation unknown1
Anni Ivoni ParapaAffiliation 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">Rancangan Faktorial Model Campuran Menggunakan Metode Maksimum Likelihood</dc:title>
	<dc:creator xml:lang="en">Amalia, Andi Tenri Riski</dc:creator>
	<dc:creator xml:lang="en">Raupong, Raupong</dc:creator>
	<dc:creator xml:lang="en">Jaya, Andi Kresna</dc:creator>
	<dc:subject xml:lang="en">Factorial RAKL</dc:subject>
	<dc:subject xml:lang="en">Hartley-Rou</dc:subject>
	<dc:subject xml:lang="en">Likelihood Method</dc:subject>
	<dc:subject xml:lang="en">Mixed Model</dc:subject>
	<dc:subject xml:lang="en">Variance Component</dc:subject>
	<dc:description xml:lang="en">Variance is the amount of statistics which measures how far a set of numbers in observation are spread out from its mean. In experimental design, variance are caused by the effect of treatment, block and error of experimental can be estimated by variability of error that commonly referred to variance component. In this study, the maximum likelihood method with Hartley Rou modification was used followed by the Newton Raphson method which was applied to a complete randomized block factorial design mixed model with factor A being fixed and factor B being random. The results of this study for rice production data showed that there is a significant effect on the interaction of genotype and location on rice production. The estimated value of the variance component obtained indicates that there are variations in the influence of location factors, and genotype and location interaction factors on rice production.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2022-02-01</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/11406</dc:identifier>
	<dc:identifier>10.20956/ejsa.vi.11406</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 3, No. 1, Januari, 2022 : Estimasi; 23-32</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/11406/7853</dc:relation>
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