Abstract:
Otorita Batam’s Library still using the procedure of lending books manually that uses the
book for recording the lending books. The data of lending books recorded manually can
experience buildup because if that book is full then the book can’t used again. Data mining is one of analyze’s tool that can fix the buildup to data. This final project do
the analyze and make the system about benefits of data mining in lending books in the
library.
Algorithm of data mining used to analyze the data of lending books is FP-Growth from
association method. This algorithm in the form of development FP-tree that finally will
result in some association rules. This association rules will be used to puts the books which
are often borrowed by the adjacent. Association rules which is obtained, applied to the
system built using programming language Java Netbeans. So the association of books from
category books can showed by this system in order to facilitate administrators and visitors
of the library.
