PENERAPAN ALGORITMA C4.5 PADA ANALISIS KERUSAKAN BARANG JADI (STUDI KASUS: PT KAYU LAPIS ASLI MURNI)
Abstrak: A Data mining is the
activity that includesthe collection, the use of historical data to discoverregularity,
patterns and relationship in a large data set. The usefulness of data mining is
to specify a pattern to be found in the data mining task. The presences of data
mining is motivated by the problem of data explosion which hadbeen experienced
lately these day where many organization or company collect so many years of
data (purchasing data, sales data, damage data item, transaction data, and so
on). In this paper data mining methods been used to analyze the damage data of
finished products, with the goal of producing a pattern of the damage product.
Based on the pattern from product’s damage, can be see and the aspects that
affect to the damaged product. The purpose of this study is to show information
about the relationship of damage data of finishedgoods using C4.5 algorithms in
PT. Kayu Lapis Asli Murni, and display results in the form of a decision tree
mining.
Index Terms: data mining, C4.5
algorithms, decision tree, damage data of finished products, PT. Kayu Lapis
Asli Murni
Penulis: IVAN OKTANA, SENG
HANSUN
Kode Jurnal: jptkomputerdd150462
