PENGARUH STEMMING TERHADAP EKSTRAKSI TOPIK MENGGUNAKAN METODE TF*IDF*DF PADA APLIKASI PDS
ABSTRACT: Personal Digital
Secretary (PDS) is a system that was developed to be a "personal
secretary" who work alongside users digitally. PDS convey information to
users in the form of email, social media and news. In order to know the
information and news from the outside, it must be done by extracting user
topics through email and social media, with the result that news information
will have corresponding relationships with users. User topic extraction through
email and social media in PDS is using modified weighting method in TF*IDF
algorithm named TF*IDF*DF. In the further development, added stemming process
in hopes of obtaining an appropriate topic. From the research that has been
done, there are differences in terms obtained from the topic extraction without
addition stemming process and with addition of stemming process. News
information obtained by the addition of stemming process has more focused
results than the news information obtained from the topics extraction without
additional stemming process. With the addition of stemming process on the
TF*IDF*DF algorithm indicates that the word (terms) results obtained from the
extraction process has become the basic words because of stemming process.
These Basic words are the basic form that an indication of a topic
Penulis: Luthfan Hadi Pramono,
Cuk Subiantoro
Kode Jurnal: jptkomputerdd170183