eprintid: 3296
rev_number: 10
eprint_status: archive
userid: 32
dir: disk0/00/00/32/96
datestamp: 2020-10-09 05:41:19
lastmod: 2020-10-09 05:41:19
status_changed: 2020-10-09 05:41:19
type: thesis
metadata_visibility: show
contact_email: repository@staff.ukdw.ac.id
creators_name: 22053923, DANIEL BAGYO SUCAHYO
creators_id: daeniee@gmail.com
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_name: Susanto, Budi
contributors_name: R., Theresia Herlina
corp_creators: Universitas Kristen Duta Wacana
title: ALGORITMA PAGERANK DALAM SITUS JEJARING SOSIAL MYBESTFRIENDS LINGKUP MAHASISWA UKDW
ispublished: pub
subjects: QA
subjects: QA75
subjects: QA76
divisions: tek_informatika
full_text_status: restricted
keywords: recommendation system, candidate selection, popularity, pagerank
abstract: This paper discusses the application of PageRank algorithm in a web-based recommendation system for candidate selection scope of Information Technology Students of Duta Wacana Christian University. This system calculates the popularity of each student in a contest based on the recommendation or referral from another students. The popularity score is based on the definition of PageRank is not just calculated how much the recommendations refer to a person , but how much of the total scores obtained from each person is referring to his recommendations . In other words , a person may only have a few references but has a high score because he gets referrals come from students who are also popular. This popularity measurement system is not a system of voting to determine the winner in an election, but rather to determine how popular a student in the eyes of other students in a particular case is calculated using the PageRank algorithm. Predicate or recognition label is given explicitly and in writing by the student to another student on the expertise, propriety or skill in a particular case.
date: 2014-02
date_type: published
pages: 49
institution: Universitas Kristen Duta Wacana
department: Informatika
thesis_type: skripsi
thesis_name: other
citation:   22053923, DANIEL BAGYO SUCAHYO  (2014) ALGORITMA PAGERANK DALAM SITUS JEJARING SOSIAL MYBESTFRIENDS LINGKUP MAHASISWA UKDW.  Bachelor thesis, Universitas Kristen Duta Wacana.   
document_url: https://katalog.ukdw.ac.id/3296/1/22053923_Bab1_Bab5_Daftarpustaka.pdf
document_url: https://katalog.ukdw.ac.id/3296/2/22053923_Bab2-sd-Bab4_Lampiran.pdf