TY  - THES
N1  - Pembimbing: Agus Mulyanto, M.Kom dan M. Mustakim, M.T
ID  - digilib68403
UR  - https://digilib.uin-suka.ac.id/id/eprint/68403/
A1  - Ganjar Alfian, NIM.: 05650028
Y1  - 2009/07/30/
N2  - In the internet world, the internet users get too much information
(information overload), therefore filtering the information (information filtering) is
very helpful task to the internet users in finding information quickly and effectively
in the virtual world. It also happens in the library, the users get a lot of information
about book title, and the information overload will confuse the users when they select
a book.
This research uses sample of transactions data in borrowing book in the
library of State Islamic University Sunan Kalijaga, and the sample users are college
students at the Faculty of Saintek in State Islamic University Sunan Kalijaga. In this
system, research using collaborative filtering method. This method use opinion from
a user community to help an individual from the community to identify interesting
items from a choices confusing items. This method is very suitable applied in
providing recommendation the book title and book rating based on the user profile.
This system will show the titles with rating from highest to lowest. This book
recommender system provides a new solution of book title in accordance with the
user profile. This system is very useful because it helps the user to filter information
about book title. It also useful for new students who need information about books
that useful for learning activities on campus.
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Sistem Rekomendasi
KW  -  Information Overload
KW  -  Information Filtering
KW  -  Collaborative Filtering
KW  -  Judul Buku
KW  -  Rating
M1  - skripsi
TI  - RANCANG BANGUN SISTEM REKOMENDASI BUKU MENGGUNAKAN COLLABORATIVE FILTERING
AV  - restricted
EP  - 113
ER  -