TY  - THES
N1  - Pembimbing :  M. Taufiq Nuruzzaman, ST., M.Eng.
ID  - digilib12096
UR  - https://digilib.uin-suka.ac.id/id/eprint/12096/
A1  - ANIK MUHANTINI , NIM. 09650055
Y1  - 2013/08/25/
N2  - Sms is a way to communicate which is still popular to use. Some reasons why
SMS still popular because the cost to send sms is cheap, sending and receiving sms is
easy, fast, can be done everywhere and everytime. Sms also doesn?t need internet
connection. SMS abuse that occurred in Indonesia such as SMS broadcast for
promoting products, services, shopping discount, fraud sms of winning lottery, asking
credits, deception for transferring money to a particular account. That sms is called
spam sms. That sms isn?t expected to be accepted by users.
This research is using Naïve Bayes algorithm to filter Indonesian sms spam that
is received by android smartphone. This research is using Naïve Bayes algorithm
because Naïve Bayes is one of lightweight and fast classification algorithms for
training and testing. This research is also collaborate data spam sms that is saved in
centralized database. Each user uses that spam sms database together. In this
research, each user is considered to be honest when updating existing spam SMS
data in the database server.
The results of spam SMS filtering system in Indonesian language using Naïve
Bayes algorithm, with collaborative spam SMS database is obtained classification
result from the incoming SMS including SMS spam or ham class. Training data for
SMS is SMS 110 spam SMS and 62 ham sms. Data for testing SMS is 50 ham SMS
and 50 spam SMS. The accuracy of the results obtained values of 76%, precision
obtained values 52% and recall of values 100%.

PB  - UIN SUNAN KALIJAGA
KW  - 

Keywords : Naïve Bayes
KW  -  Filtering Spam
KW  -  Collaborative
KW  -  SMS
KW  -  Indonesian Language

M1  - skripsi
TI  - COLLABORATIVE FILTERING
SMS SPAM BERBAHASA INDONESIA
MENGGUNAKAN ALGORITMA NAIVE BAYES
AV  - restricted
ER  -