Skripsi

 PERBANDINGAN ALGORITMA INDOBERT, NAIVE BAYES, SVM, DAN KNN TERHADAP ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI M-PASPOR DI GOOGLE PLAY STORE

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Penilaian

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The development of information technology is very fast along with the progress of the times making all aspects of life switch to digital. The M-Passport application is an application that can be used by the public to apply for new passports and passport replacements online. The M-Passport application has various responses, both positive, negative and neutral, from users listed in reviews on the Google Play Store. With the large amount of review data, sentiment analysis is needed to understand sentiment patterns efficiently. This study compares the performance of the Naïve Bayes, SVM, KNN, and IndoBERT algorithms in sentiment analysis of M-Passport application reviews.. The results show that the IndoBERT algorithm excels with 99% accuracy, followed by SVM with 98% accuracy, while Naïve Bayes and KNN have 91% and 67% accuracy respectively.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
24070071432024	T163667	T1636672024	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1636672024

Publisher

Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Uniersitas Srwijaya., 2024

Collation

xv, 35 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

003.010 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Informasi
Identifikasi Sistem

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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