Susanto, Ady Bagus Sugih (2021) Analisis Sentimen Tingkat Kepuasan Layanan Jasa Dompet Digital XYZ dengan Metode Support Vector Machine. Undergraduate thesis, Politeknik Negeri Jember.
Text (Abstrak)
1. ABSTRACT.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (542kB) |
|
Text (Bab 1 Pendahuluan)
2. PENDAHULUAN.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (712kB) |
|
Text (Daftar Pustaka)
3. DAFTAR PUSTAKA.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (569kB) |
|
Text (Laporan Lengkap)
4. LAPORAN LENGKAP.pdf Restricted to Registered users only Download (15MB) | Request a copy |
Abstract
The physical conventional wallet now turned into a digital wallet that provides security to its users. This digital wallet can be used as a conventional wallet to make a payment, only use the smartphone without bringing a physical wallet whenever we want to go shopping. One of the digital wallet providers is XYZ. Inc, in 2019 service provider XYZ suffer decreasing download count of their application. To understand how public opinion about service provider XYZ with sentiment analysis. Sentiment analysis is used to understand public opinion about XYZ, media that is usually used to express their opinion is social media. One of the social media that have a lot of users is Twitter. The way how to get data from Twitter with Text Mining by using API from Twitter to get their data. Then obtained data will be processed through Text Preprocessing and the data that already processed is classified with Support Vector Machine RBF Kernel. Validation process that produces an accuracy of 91.2% and precision of 82.4%.
Item Type: | Thesis (Undergraduate) | ||||||
---|---|---|---|---|---|---|---|
Contributors: |
|
||||||
Uncontrolled Keywords: | Sentiment Analysis, Support Vector Machine, Text Mining, Twitter, Text Preprocessing | ||||||
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: | ADY BAGUS SUGIH SUSANTO | ||||||
Date Deposited: | 30 Aug 2021 01:08 | ||||||
Last Modified: | 30 Aug 2021 01:10 | ||||||
URI: | https://sipora.polije.ac.id/id/eprint/6234 |
Actions (login required)
View Item |