Skripsi

ANALISIS SENTIMEN PANDANGAN PUBLIK MENGENAI MOBIL LISTRIK MENGGUNAKAN ADASYN DENGAN ALGORITMA SUPPORT VECTOR MACHINE

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Climate change and air pollution drive the search for environmentally friendly solutions, such as electric cars. Although they offer benefits like reduced emissions and energy efficiency, public acceptance varies depending on factors like price, infrastructure, and environmental awareness. This study employs the Support Vector Machine (SVM) algorithm as a machine learning model and the ADASYN method to address data imbalance for analyzing public sentiment. The process involves data cleaning using Case Folding, Stopwords, Tokenization, Stemming, and feature extraction with TF-IDF. In this study, the best parameters were found with a C value of 1, using the Radial Basis Function kernel, gamma 0.01, and 673 iterations. The final results show an accuracy of 77%, an improvement from 69% due to the application of the ADASYN method.

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Detail Information

Series Title

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Call Number

T1628842024

Publisher

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

Collation

xv, 63 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.015 107

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

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Subject(s)

Prodi Teknik Informatika
Prinsip Matematika dalam Ilmu Komputer

Specific Detail Info

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Statement of Responsibility

MURZ

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