Bobby Kurniadi Widodo, . (2022) PENERAPAN ALGORITMA NAÏVE BAYES UNTUK ANALISIS SENTIMEN PENGGUNAAN APLIKASI JOBSTREET DI GOOGLE PLAY STORE. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (12kB) |
|
Text
AWAL.pdf Download (745kB) |
|
Text
BAB 1.pdf Download (289kB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (357kB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (373kB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (937kB) |
|
Text
BAB 5.pdf Download (135kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (136kB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (20kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (1MB) |
|
Text
HASIL PLAGIARISME..pdf Restricted to Repository staff only Download (7MB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (978kB) |
Abstract
The Jobstreet application is a job vacancy application that has been downloaded by more than 10 million people which provides several types of jobs such as accounting, human resources, marketing, communication, services, and others. With so many people downloading this application, people will definitely give their reviews of this application. In times of a pandemic like this, many people are looking for work using android applications where the information is faster and easier to find job vacancies, therefore the Jobstreet application helps people find job vacancies in the companies they want. This review of public opinion comments can be used as an opportunity to dig up information about the evaluation and assessment of jobstreet application services that have been running using sentiment analysis. The purpose of this study is to classify the sentiment of reviews on the Jobstreet application using the Naïve Bayes method. In this study, opinions will be divided into two groups as positive and negative, then classified using the Naïve Bayes algorithm. The test results obtained using test data have an accuracy value of 0.96; precision value is 0.98; recall value of 0.94; specificity value of 0.73.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1810511059] [Pembimbing 1: Nur Hafifah Matondang] [Pembimbing 2: Desta Sandya Prasvita] [Penguji 1: Henki Bayu Seta] [Penguji 2: Mayanda Mega Santoni] |
| Uncontrolled Keywords: | Sentiment Analysis, Jobstreet, Naïve Bayes, Classification |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Bobby Kurniadi Widodo |
| Date Deposited: | 02 Aug 2022 08:27 |
| Last Modified: | 02 Aug 2022 08:27 |
| URI: | http://repository.upnvj.ac.id/id/eprint/19665 |
Actions (login required)
 |
View Item |