ANALISIS SENTIMEN PADA FORUM REVIEW FEMALE DAILY TERHADAP PRODUK SKINTIFIC MENGGUNAKAN METODE KLASIFIKASI NAÏVE BAYES

Aqila Zahara Putri, . (2024) ANALISIS SENTIMEN PADA FORUM REVIEW FEMALE DAILY TERHADAP PRODUK SKINTIFIC MENGGUNAKAN METODE KLASIFIKASI NAÏVE BAYES. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Nowadays, social media has become the most relied-upon means of obtaining information and engaging in two-way communication. In the context of the beauty industry, social media serves as a highly influential platform for disseminating information about its products. The rapid increase in the popularity of the Skintific brand is one of the positive impacts of social media on the beauty industry. Skintific's 5x Ceramide Barrier Repair Moisture Gel Moisturizer has garnered public attention due to its formulation focused on enhancing skin barrier function. However, some users have reported dissatisfaction or even adverse skin reactions. Therefore, before deciding to use a product, consumers conduct various research, such as reading product reviews. However, the abundance of reviews makes it time-consuming for consumers to decide on a purchase. Hence, this research conducts sentiment analysis of Female Daily forum users towards Skintific 5x Ceramide Barrier Repair Moisture Gel Moisturizer, using the Multinomial Naive Bayes classification method. Confusion Matrix evaluation results show the model has good accuracy, with an accuracy value of 87.74%, precision of 96.25%, recall of 89.86%, and F1 score of 0.9295. The research findings are also analyzed through visualization on Tableau Public.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2010512071] [Pembimbing 1: Nurhafifah Matondang] [Pembimbing 2: Anita Muliawati] [Penguji 1: Ridwan Raafi'udin] [Penguji 2: Nindy Irzavika]
Uncontrolled Keywords: Sentiment Analysis, Female Daily, Skintific, Naive Bayes, TF-IDF, Tableau
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User: Aqila Zahara Putri
Date Deposited: 26 Jul 2024 04:26
Last Modified: 23 Aug 2024 07:40
URI: http://repository.upnvj.ac.id/id/eprint/31318

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