ANALISA KOMENTAR PENGGUNA PRODUK ONLINE PADA APLIKASI MARKETPLACE SHOPEE MENGGUNAKAN METODE NAIVE BAYES

Luthfi, . (2025) ANALISA KOMENTAR PENGGUNA PRODUK ONLINE PADA APLIKASI MARKETPLACE SHOPEE MENGGUNAKAN METODE NAIVE BAYES. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Shopee is an application platform used for online buying and selling. To identify issues experienced by buyers and facilitate the analysis process for future online store development, sentiment analysis was conducted on user reviews. This research process began with text processing, followed by word weighting using the TF-IDF method, followed by classification and evaluation. Using the Naive Bayes method, the accuracy was 98%, with a recall value of 100%, an error rate of 2%, and a precision value of 98%.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 1810511060] [Pembimbing: Ridwan Raafi’udin] [Penguji 1: Widya Cholil] [Penguji 2: Kharisma Wiati Gusti]
Uncontrolled Keywords: Shopee, Naive Bayes, Sentiment Analysis
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User: LUTHFI
Date Deposited: 06 Aug 2025 06:51
Last Modified: 06 Aug 2025 06:51
URI: http://repository.upnvj.ac.id/id/eprint/37660

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