Fajrina, Mita Unziyah (2023) Penerapan Metode K-Nearest Neighbor (Knn) Dalam Analisis Sentimen Review Obyek Wisata Kabupaten Jember. Undergraduate thesis, Politeknik Negeri Jember.
![[img]](https://sipora.polije.ac.id/style/images/fileicons/text.png) |
Text (Abstract)
ABSTRACT.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (8kB) |
|
Text (Bab 1 Pendahuluan)
BAB 1 PENDAHULUAN.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (82kB) |
|
Text (Daftar Pustaka)
DAFTAR PUSTAKA.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (78kB) |
|
Text (Laporan Lengkap)
LAPORAN LENGKAP.pdf Restricted to Registered users only Download (8MB) | Request a copy |
Abstract
Tourism is one of the important sectors in Indonesia's economy. The number of tourists who come to visit can help improve the facilities and quality of tourist attractions. People can visit a tourist spot by looking at several reviews or reviews on various social media. Google Maps is one of the media that can see to provide a review of a tourist spot. Google Maps is one of the sources of review data or community sentiment that is often used. Review data from Google Maps containing public opinion or sentiment towards tourist attractions can be collected to provide conclusions about the good and bad of a tourist spot. This research uses the KNearest Neighbor (KNN) method to analyze public sentiment towards tourist attractions in Jember Regency. Datasets are collected through Google Maps. The data that has been obtained will be carried out preprocessing, TF-IDF and classification stages using the K-Nearest Neighbor (KNN) method. The results of the implementation of the K-Nearest Neighbor (KNN) algorithm in this study to show the results of the accuracy level of tourist attractions in Jember Regency with existing review data, namely Kebun Teh Gunung Gambir 85%, Air Terjun Tancak 70%, Pantai Tanjung Papuma 55%,Taman Botani Sukorambi 60% and Teluk Love 85%.
| Item Type: | Thesis (Undergraduate) | ||||||
|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||
| Uncontrolled Keywords: | Tempat Wisata, Kabupaten Jember, Google Maps, K-Nearest Neighbor | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika | ||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Mita Unziyah Fajrina | ||||||
| Date Deposited: | 10 Jul 2023 03:55 | ||||||
| Last Modified: | 10 Jul 2023 03:57 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/24630 |
Actions (login required)
 |
View Item |
