| dc.description.abstract | The Covid-19 pandemic has made people start looking for new income, one
of which is stock investment. Mining Stock recorded the highest sectoral index
increase in 2020. The high increase in the mining sector index doesn’t indicate all
of the stocks have a good performance. Clustering data of mining stock can help to
see which stock has the best performance. Variables used in clustering are technical
factors with details: return, trading volume, transaction frequency, bid volume, and
foreign buy. Data in this research is longitudinal data from March 2020 until
January 2022 and the clustering technique used is k-means. Clustering on outliers
data and non-outliers data is done separately. Definition of outliers is exploratively
with biplot analysis. Clustering on outliers data results obtained are five clusters
and clustering on non-outliers data results obtained are two clusters. Best cluster is
cluster who obtained ANTM because has highest value in return, transaction
frequency, and foreign buy. | id |
