eprintid: 21303
rev_number: 10
eprint_status: archive
userid: 71
dir: disk0/00/02/13/03
datestamp: 2016-08-03 04:44:25
lastmod: 2016-08-03 04:44:25
status_changed: 2016-08-03 04:44:25
type: thesis
metadata_visibility: show
creators_name: YOGA PRATAMA, NIM. 12650014
title: PENERAPAN DATA MINING UNTUK MEMPREDIKSI KLASIFIKASI
JUMLAH PEMBACA SEBUAH ARTIKEL PADA SITUS BERANDA.CO.ID
MENGGUNAKAN ALGORITMA BAYESIAN CLASSIFICATION
ispublished: pub
subjects: TB
divisions: jur_tinf
full_text_status: restricted
keywords: data mining, bayesian classification algorithm, number of readers,
article’s data, beranda.co.id
note: Agus Mulyanto, S.Si., M.Kom.
abstract: Sometimes, the number readers of article from websites is not stabilize. One
of them is Beranda.co.id site. There are some element that can influence, one of
them is the writing element of article. It is includes the number of words, the number
of tags, and the Yoast SEO value. The problem can be solve if Beranda.co.id site
can predict the potential article that have many readers classification.
This research applies bayesian classification algorithm into an application
that can be used to calculate a prediction of an article classification. This algorithm
was chosen because it is shown to have a high speed and accuracy when applied
into the database with big data. The prediction calculation obtains a value of
prediction accuracy. This value of prediction accuracy further is conducted
interpretation process to be an information or knowledge that can be used by
Beranda.co.id in using the application.
This research is successful in applying bayesian classification algorithm into
the application. The results of the first scenario prediction accuracy percentage is
56%, the second scenario is 62%, the third scenario is 42%, and the fourth scenario
is 60%. While the knowledge which is got are normal data can produce results better
prediction accuracy and the prediction accuracy getting decreased goes hand in
hand with the expired date of training data.
date: 2016-06-28
date_type: published
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   YOGA PRATAMA, NIM. 12650014  (2016) PENERAPAN DATA MINING UNTUK MEMPREDIKSI KLASIFIKASI JUMLAH PEMBACA SEBUAH ARTIKEL PADA SITUS BERANDA.CO.ID MENGGUNAKAN ALGORITMA BAYESIAN CLASSIFICATION.  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/21303/2/12650014_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/21303/1/12650014_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf