Pendeteksian Outlier dan Penentuan Faktor-Faktor yang Mempengaruhi Produksi Gula dan Tetes Tebu dengan Metode Likelihood Displacement Statistic-Lagrange
Abstract: There are several
problems in industrial process for example problems associated with product
quality. In statistics, observation which is significantly different to the
average is called outlier. The outlier can give significant influence to the
result of modeling, which can affect the decision making. This research
develops the outlier detection method using the Likelihood Displacement
Statistic method, called Likelihood Displacement Statistic-Lagrange (LDL)
method. The LDL method is applied to sugar and molasses production data of
Djombang Baru Sugar Factory, Jombang, East Java. The result of this research
shows that factors influenced the sugar and molasses production are sugar cane
with the dirt less than 5%, sugar cane with the dirt between 5% to 7%, sugar
cane with the dirt higher than 7%, and imbibition water
Keywords: Likelihood
Displacement Statistic-Lagrange, multivariate linear models, outlier, Lagrange
multipliers
Penulis: Makkulau, Susanti
Linuwih, Purhadi, Muhammad Mashuri
Kode Jurnal: jptindustridd100062
