ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN APLIKASI DANA DI GOOGLE PLAY STORE MENGGUNAKAN SUPPORT VECTOR MACHINE

SAPUTRA, MUHAMMAD ILHAM and Yusliani, Novi and Marieska, Mastura Diana (2024) ANALISIS SENTIMEN BERBASIS ASPEK PADA ULASAN APLIKASI DANA DI GOOGLE PLAY STORE MENGGUNAKAN SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

DANA is an Indonesian financial technology company that provides infrastructure to support digital wallets in the modern era. With the DANA app, users can store money and make payments without using cash or cards, both for online and offline transactions, with speed, convenience, and guaranteed security. Although offering various conveniences, the DANA app still receives a variety of reviews from users on the Google Play Store. This study aims to analyze aspect-based sentiment in the reviews of the DANA app on the Google Play Store. The aspects analyzed in this study include Features, Security, Service, and Sentiment. This study uses 15,000 reviews, consisting of 7,500 positive sentiments and 7,500 negative sentiments. The method used is Support Vector Machine (SVM), and the best results were obtained with a C parameter value of 1, yielding an accuracy of 98.13% for the Feature aspect, 95.27% for the Security aspect, 98.47% for the Service aspect, and 93.70% for Sentiment.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Sentimen, Google Play Store, Support Vector Machine, Ulasan Pengguna.
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Muhammad Ilham Saputra
Date Deposited:	31 Dec 2024 06:46
Last Modified:	31 Dec 2024 06:46
URI:	http://repository.unsri.ac.id/id/eprint/162022

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