Ihza, Oktavira (2022) Analisis Sentimen Masyarakat Terhadap Endemi Pada Twitter Menggunakan Metode Naive Bayes. 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 (47kB) |
|
Text (Bab 1 Pendahuluan)
BAB 1.PENDAHULUAN.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (106kB) |
|
Text (Daftar Pustaka)
DAFTAR PUSTAKA.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (174kB) |
|
Text (Laporan Lengkap)
E41180991_LAPORAN LENGKAP.pdf Restricted to Registered users only Download (1MB) | Request a copy |
Abstract
Planning for change or transition from a pandemic to an endemic causes various responses or opinions from the public. Therefore, an analysis is needed to determine public sentiment towards the condition of Indonesia which is experiencing a transition from a pandemic to an endemic whether it is positive, negative, or neutral. This study uses the Naïve Bayes method with the distribution of training data and test data of 80% and 20% to obtain 78% accuracy, 79% precision and 78% recall. This algorithm has a fair classification level or a moderate or good enough diagnostic value.
| Item Type: | Thesis (Undergraduate) | ||||||
|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||
| Uncontrolled Keywords: | sentiment analysis, Naive Bayes, endemi, twitter | ||||||
| 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: | Ihza Oktavira | ||||||
| Date Deposited: | 13 Sep 2022 07:45 | ||||||
| Last Modified: | 13 Sep 2022 07:46 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/16786 |
Actions (login required)
 |
View Item |
