SENTIMEN ANALISIS ULASAN PENGGUNA APLIKASI WONDR BY BNI DENGAN METODE NAIVE BAYES

PUTRI, RIZKY SEPTIAH and Lestarini, Dinda (2025) SENTIMEN ANALISIS ULASAN PENGGUNA APLIKASI WONDR BY BNI DENGAN METODE NAIVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

The advancement of digital technology has driven the emergence of various financial service applications, including Wondr by BNI, the latest mobile banking app from Bank Negara Indonesia. This study aims to analyze user sentiment toward the application using the Naïve Bayes classification method. A total of 4,970 user reviews from Google Play Store were analyzed following the CRISP-DM framework, with preprocessing steps including cleansing, tokenizing, stopword removal, and TF-IDF weighting. Modeling was conducted using RapidMiner and Google Colaboratory. The model achieved an accuracy of 71,63% with balanced precision and recall for both positive and negative sentiment categories based on 10-Fold Cross Validation. The results show that negative sentiment is more dominant, mainly related to performance issues and underdeveloped features. These findings serve as a valuable input for future application improvements. This study also demonstrates that the Naïve Bayes method is effective for processing text-based user reviews to support digital service evaluation.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, Naïve Bayes, Wondr by BNI, Text Mining, Ulasan Pengguna.
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control) T Technology > T Technology (General) > T58.6-58.62 Management information systems
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Rizky Septiah Putri
Date Deposited:	22 Jul 2025 06:39
Last Modified:	22 Jul 2025 06:39
URI:	http://repository.unsri.ac.id/id/eprint/179788

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