Alam Cahyo Laksono, . (2024) ANALISIS SENTIMEN APLIKASI STARBUCKS INDONESIA DARI ULASAN PENGGUNA PADA GOOGLE PLAY STORE DAN APP STORE MENGGUNAKAN ALGORITMA NAIVE BAYES. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Sentiment analysis is a method used to analyze opinions, responses, and attitudes of users towards a product or service. This research aims to analyze user sentiments towards the Starbucks Indonesia application by classifying user reviews into two classes: positive and negative, using the Naive Bayes algorithm. User review data for the Starbucks Indonesia application was obtained from the Google Play Store and App Store with a total of 13,000 reviews. Pre-processing of the data was conducted to prepare the data before the classification process. The classification results using the Naive Bayes algorithm showed an accuracy rate of 89%. Thus, sentiment analysis can provide an overview of user satisfaction with the Starbucks Indonesia application and offer valuable feedback for the company to improve service quality.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010512103] [Pembimbing 1: Tri Rahayu] [Pembimbing 2: Muhammad Panji Muslim] [Penguji 1: Neny Rosmawarni] [Penguji 2: Bambang Triwahyono] |
| Uncontrolled Keywords: | Sentiment Analysis, Naive Bayes Algorithm, User Review, Starbucks Indonesia, Sentiment Classification |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | ALAM CAHYO LAKSONO |
| Date Deposited: | 18 Sep 2024 06:19 |
| Last Modified: | 18 Sep 2024 06:19 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31852 |
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