KLASIFIKASI SENTIMEN ULASAN PENGGUNA APLIKASI PEDULILINDUNGI DI GOOGLE PLAY MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE DENGAN SELEKSI FITUR CHI-SQUARE

Cindy Chairunnisa, , (2022) KLASIFIKASI SENTIMEN ULASAN PENGGUNA APLIKASI PEDULILINDUNGI DI GOOGLE PLAY MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE DENGAN SELEKSI FITUR CHI-SQUARE. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

[img] Text
ABSTRAK.pdf
Download (11kB)
[img] Text
AWAL.pdf
Download (1MB)
[img] Text
BAB 1.pdf
Download (145kB)
[img] Text
BAB 2.pdf
Restricted to Repository UPNVJ Only
Download (574kB)
[img] Text
BAB 3.pdf
Restricted to Repository UPNVJ Only
Download (390kB)
[img] Text
BAB 4.pdf
Restricted to Repository UPNVJ Only
Download (796kB)
[img] Text
BAB 5.pdf
Download (287kB)
[img] Text
DAFTAR PUSTAKA.pdf
Download (138kB)
[img] Text
RIWAYAT HIDUP.pdf
Restricted to Repository UPNVJ Only
Download (132kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository UPNVJ Only
Download (3MB)
[img] Text
HASIL PLAGIARISME.pdf
Restricted to Repository staff only
Download (18MB)
[img] Text
ARTIKEL KI.pdf
Restricted to Repository staff only
Download (974kB)

Abstract

The government's efforts to reduce the spread of the corona virus outbreak which is increasingly widespread in almost every country in the world, including Indonesia, have been carried out. One of the efforts that have been made by utilizing existing technology at this time is to create an application called PeduliLindungi. This application aims to track and monitor the location of the spread of the corona virus so that it can reduce corona cases in Indonesia. Many reviews have been given by the community to this application, both in the form of criticism and satisfaction. However, to find out all the reviews given is not easy. Therefore, the research was conducted with the aim of knowing the results of public sentiment towards the PeduliLindung application. Sentiment analysis was carried out by classifying reviews into positive reviews and negative reviews using the Support Vector Machine algorithm by selecting the chi-square feature. Reviews Data collection is done by scrapping on google play using the Python programming language. The results of the sentiment classification of the PeduliLindung application resulted in good performance and resulted in a score of 93%, recall of 86%, precision of 98%, specificity of 98% and f1-score of 92%.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 1810511083] [Pembimbing 1: Iin Ernawati] [Pembimbing 2: Mayanda Mega Santoni] [Penguji 1: Yuni Widiastiwi] [Penguji 2: Nurul Chamidah]
Uncontrolled Keywords: Sentiment Analysis, Feature Selection, Chi-Square, Support Vector Machine, PeduliLindungi
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: Cindy Chairunnisa
Date Deposited: 22 Aug 2022 07:35
Last Modified: 22 Aug 2022 07:35
URI: http://repository.upnvj.ac.id/id/eprint/19619

Actions (login required)

View Item View Item