Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407006899	T162022	T1620222024	Central Library (REFERENCE)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1620222024

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

ix, 86 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.350 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Informatika
Atural Language Processing

Specific Detail Info

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Statement of Responsibility

TUTI

Other version/related

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