Skripsi

ANALISIS SENTIMEN PENGGUNA MEDIA SOSIAL X MENGENAI PINJAMAN ONLINE DENGAN PERBANDINGAN ALGORITMA XGBOOST DAN RANDOM FOREST

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The rapid development of technology and social media has transformed the way people express their opinions on various issues, including online loan services. Application X has become a primary platform for users to openly share their views. This study aims to analyze user sentiment toward online loan services by comparing the performance of the XGBoost and Random Forest algorithms. From an initial total of 10,522 tweets, the dataset was reduced to 941 after cleaning and removing duplicates. The dataset was then split into 752 training data points (80%) and 189 testing data points (20%) for model training and evaluation. The results indicate that Random Forest achieved the highest accuracy of 80.42%, while XGBoost reached 78.31%. These findings demonstrate that machine learning methods can be effectively employed to understand public perceptions of online loan services on social media X.

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Availability

Detail Information

Series Title

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Call Number

T1901022025

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xiii, 87 hlm.; ilus.; tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.312 07

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Informatika
Analisis Sentimen--Data Analisis

Specific Detail Info

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Statement of Responsibility

MI

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