Muhammad Putra Fauzan, . (2025) ANALISIS DAN PERANCANGAN DASHBOARD VISUALISASI BERBASIS SENTIMEN DATA ULASAN PENGGUNA PADA APLIKASI TJ: TRANSJAKARTA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The public's need for reliable public transportation is increasing, especially in metropolitan cities such as Jakarta. In line with this, public transportation users have high expectations for improvements in the quality of service digitalization. One of the digitalization efforts by public transportation providers such as Transjakarta is to create an application. With the application, users can take advantage of features to support mobility. Through application distribution platforms such as Google Play Store and App Store, user reviews of the TJ: Transjakarta application experience can be obtained. This study aims to analyze the sentiment of TJ: Transjakarta application user review data, starting with data collection, then labeling, pre-processing, and splitting data, to the formation of a Naive Bayes model. After the model was formed, an evaluation was carried out and a high accuracy of 91% was obtained, which was considered effective in classifying sentiment data reviews. The results of the analysis and classification model are presented in the form of a visualization dashboard to obtain insights. This dashboard can be used by Transjakarta as material for evaluating service quality and designing application improvement strategies based on user needs.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110512150] [Pembimbing: Ika Nurlaili Isnainiyah] [Penguji 1: I Wayan Widi Pradnyana] [Penguji 2: Andhika Octa Indarso] |
| Uncontrolled Keywords: | Sentiment Analysis, Transjakarta, User Reviews, Visualization Dashboard, Review Classification |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | MUHAMMAD PUTRA FAUZAN |
| Date Deposited: | 17 Mar 2026 02:52 |
| Last Modified: | 17 Mar 2026 02:52 |
| URI: | http://repository.upnvj.ac.id/id/eprint/42604 |
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