Sentiment Analysis Terhadap Ulasan Aplikasi myUMM Dengan Metode Support Vector Machine (SVM)

Fadlurrachman, Fadlurrachman (2025) Sentiment Analysis Terhadap Ulasan Aplikasi myUMM Dengan Metode Support Vector Machine (SVM). Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

Along with technological and digital developments, mobile apps are an important
part of supporting academic service in higher education. myUMM application is a
means to access information and student service at University Muhammadiyah
Malang. Reviews from user of this application are a valuable source of input for
further evaluation and development. This research aims to analyze the sentiment of
myUMM user reviews using support vector machine method

Item Type:	Thesis (Undergraduate)
Student ID:	201810370311121
Keywords:	Sentiment analysis, myUMM, Support Vector Machine, Google Playstore.
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering > Department of Informatics (55201)
Depositing User:	201810370311121 fadlurrachman
Date Deposited:	24 Nov 2025 06:46
Last Modified:	24 Nov 2025 06:46
URI:	https://eprints.umm.ac.id/id/eprint/25392

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