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ANALISIS SENTIMENT PELANGGAN TERHADAP PENILAIAN PRODUK PADA TOKO ONLINE SHOP AMRETA MENGGUNAKAN METODE NAIVE BAYES CLASSIFICATION

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Penilaian

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Sentiment analysis or opinion mining is an analysis that aims to see the sentiment of people or groups regarding certain entities. The sentiments expressed by society can be in positive, negative and neutral form. One media that can be given an opinion by the public is in the e-commerce application, namely the shopee application, shopee has a comment or assessment feature on the product that has been purchased. Toko which was used as a sample of researchersan is an amreta online shop store , based on the results of the identification of the problem, it was found that the fact was reviewed that many comments that did not match the stars were given, so it can be assumed that the rating cannot represent that the performance of the store is good. Amreta is already good but gives little star value or vice versa. Therefore, the author conducted sentiment analysis research on amreta stores to assist the store in providing references when they were going to conduct an evaluation. Thenext one is processed using rapidminer tools while for operators in the form of algorithms using the Sentiment Naïve Bayes Classification model through automatic calculations. The results of the study can be concluded that the test data obtained have an accuracy level of 97.15% using the Naive Bayes Classification model. Keywords: Sentiment, Online Shop, Shopee, Naïve Bayes, E-Commerce

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003704	T78540	T785402022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T785402022

Publisher

Inderalaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer., 2022

Collation

xvii, 77 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.754 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Situs Jejaring Sosial
Prodi Sistem Informasi,

Specific Detail Info

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Statement of Responsibility

SEPTA

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