ANALISIS SENTIMEN ULASAN APLIKASI MOBILE BANKING LIVIN’ BY MANDIRI PADA GOOGLE PLAY STORE MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM)

RAHMADHINI, TRI and Rodiah, Desty and Kurniati, Rizki (2025) ANALISIS SENTIMEN ULASAN APLIKASI MOBILE BANKING LIVIN’ BY MANDIRI PADA GOOGLE PLAY STORE MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM). Undergraduate thesis, Sriwijaya University.

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Abstract

Mobile banking apps are growing in popularity in Indonesia, one of which is Livin' by Mandiri, which ranks third in highest usage according to GoodStats 2022 data. Understanding app user reviews can influence the level of satisfaction with the app. This research aims to fill the gap by analyzing review sentiment using the Long Short-Term Memory (LSTM) method and FastText word embedding. LSTM was chosen for its ability to understand text context, while FastText is used to represent words in the form of numerical vectors, including handling new or rarely used words. The best model, using a configuration of 128 LSTM units, dropout 0.3, dense layer 32, learning rate 0.001, batch size 128, and 20 epochs, achieved 85% accuracy,77% precision, 70% recall, and 71% F1-score. These results show that the system is able to identify review sentiment well,support application development, and improve user experience.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, Long Short-Term Memory, Livin’ by Mandiri,
Subjects:	T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.97 Search theory 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)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Tri Rahmadhini
Date Deposited:	14 Mar 2025 06:30
Last Modified:	14 Mar 2025 06:30
URI:	http://repository.unsri.ac.id/id/eprint/168783

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