eprintid: 11875
rev_number: 36
eprint_status: archive
userid: 71
dir: disk0/00/01/18/75
datestamp: 2014-04-15 03:36:41
lastmod: 2016-03-18 05:49:46
status_changed: 2014-04-15 03:36:41
type: thesis
metadata_visibility: show
creators_name: MUHAMMAD DAHLAN, NIM.10651035
title: PENGEMBANGAN APLIKASI REKOMENDASI PANDUAN
WISATA DI DIY MENGGUNAKAN
ALGORITMA K-NEAREST NEIGHBOR (K-NN)
ispublished: pub
subjects: TB
divisions: jur_tinf
full_text_status: restricted
keywords: Keyword : Recommendation, Tourism, K-NN (K- Nearest Neighbor)
note: Pembimbing  : Bambang Sugiantoro, S.Si., MT
abstract: Based on DIY’s statictical tourism data between 2010-2012, there was an
enhancenment of the number of visitors of it. In 2010, there were only 1.456.980
visitors, while in 2011 the visitors increased up to 1.607.694 people. The most
significant number of visitors happened in 2012 where there were 2.360.173
visitors who come to enjoy DIY’s tourism. The visitors themselves were the
tourists who came to DIY to enjoy the natural, education, and historical (cultural)
tourist resorts.
This system uses client-server concept, which utilizes internet connection
by using GPS (Global Positioning System). The GPS System is build on android
platform. The algorithm which is used in this system is K-Nearest Neighbor (KNN)
algorithm. This algorithm can be used to classify new objects based on the
training data which has the nearest distance with that new object data.
The testing result of the system is done based on several attributes new
user, such as sex, hobby, education background, and the cost calculated from the
reference data. The result shows that the system goes well where it can provide
the recommendation of the tourist resorts in DIY. Meanwhile, the result of the
system functionality testing are that most of the respondents agree that this
appication functions as it is supposed to be 98,6 % respondents agree and only 1,3
% disagree. Based on the interface testing, the result shows that 33,3 %
respondents strongly agree, 60 % agree, and only 6,6 % respondents are neutral.
date: 2014-03-24
date_type: published
institution: UIN SUNAN KALIJAGA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   MUHAMMAD DAHLAN, NIM.10651035  (2014) PENGEMBANGAN APLIKASI REKOMENDASI PANDUAN WISATA DI DIY MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (K-NN).  Skripsi thesis, UIN SUNAN KALIJAGA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/11875/31/BAB%20I%2C%20VII%2C%20DAFTAR%20PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/11875/1/BAB%20II%2C%20III%2C%20IV%2C%20V%2C%20VI.pdf