| dc.contributor.advisor | Arriswoyo, Suwarno | |
| dc.contributor.advisor | Sitepu, Rachmad | |
| dc.contributor.author | Manurung, Lastri | |
| dc.date.accessioned | 2022-12-28T04:29:32Z | |
| dc.date.available | 2022-12-28T04:29:32Z | |
| dc.date.issued | 2011 | |
| dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/78494 | |
| dc.description.abstract | Additive Main Effects and Multiplicative Interaction (AMMI) analysis is an
alternative method that is able to combine reliability that Principal Component
Analysis (PCA) for the Analysis of Variance (ANOVA) interaction effect. In addition,
the model is very good AMMI used as a tool for exploration of an appropriate model
on a cluser of specific data. If none of the real components of the model simply by
additive effects only. Conversely, if the only real effect it doubles the proper modeling
is the PCA. If all of the components interact real means of interaction effects are really
complex, do not allow for reduction without loss of information. Minimum
cumulative diversity that used 75% fairly explain the effect of interactions of data
analyzed. | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | Universitas Sumatera Utara | en_US |
| dc.subject | AMMI | en_US |
| dc.subject | Principal Component Analysis (PCA) | en_US |
| dc.subject | Analysis of Variance | en_US |
| dc.title | Pengaruh Utama Aditif dengan Interaksi Ganda (Uaig) | en_US |
| dc.type | Thesis | en_US |
| dc.identifier.nim | NIM090823012 | |
| dc.identifier.nidn | NIDN0021035003 | |
| dc.identifier.nidn | NIDN0018045302 | |
| dc.identifier.kodeprodi | KODEPRODI44201#Matematika | |
| dc.description.pages | 46 Halaman | en_US |
| dc.description.type | Skripsi Sarjana | en_US |
