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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi GEMBIRA (Pengabdian Kepada Masyarakat)
Rita Yulfani
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Application of the Naive Bayes Method for Sentiment Analysis of Sunscreen Product Reviews Based on the Female Daily Review Melisa Nur Aini; Rita Yulfani; Nurul Jariah
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 6 No. 01 (2024): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v6i01.421

Abstract

This study aims to apply the Naïve Bayes method for sentiment analysis of sunscreen product reviews based on data collected from the Female Daily platform. With the exponential growth of e-commerce, online reviews have become a valuable source of information for consumers seeking insights into product quality and user satisfaction. Sentiment analysis, a branch of natural language processing, plays a crucial role in extracting sentiments or opinions from text data. In this research, we focus specifically on sunscreen products and leverage the Naïve Bayes classifier to classify the sentiment polarity (positive, negative, or neutral) of reviews gathered from the Female Daily platform. The Female Daily platform provides a wealth of user-generated content, including detailed product reviews and ratings, making it an ideal dataset for sentiment analysis. By implementing the Naïve Bayes method, which is known for its simplicity and efficiency in text classification tasks, we aim to accurately identify sentiments expressed in sunscreen product reviews. The findings of this study are expected to contribute to the enhancement of consumer decision-making processes by providing valuable insights into the sentiment trends surrounding sunscreen products, ultimately aiding consumers in making informed purchasing decisions.
PEMBUATAN WEBSITE COMPANY PROFILE PT. SUNGAI BERLIAN GROUP KOTA SAMARINDA MENGGUNAKAN CMS WORDPRESS Rita Yulfani; Melisa Nur Aini; Wawan Joko Pranoto
Jurnal Gembira: Pengabdian Kepada Masyarakat Vol 1 No 06 (2023): DESEMBER 2023
Publisher : Media Inovasi Pendidikan dan Publikasi

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Abstract

Pengabdian masyarakat ini bertujuan mengembangkan sebuah website Company Profile untuk PT. Sungai Berlian Group di Kota Samarinda menggunakan CMS WordPress, dengan fokus pada meningkatkan visibilitas perusahaan, memperluas jangkauan informasi kepada pemangku kepentingan, dan memberikan pelatihan kepada staf perusahaan. Proses pengembangan melibatkan analisis kebutuhan, perancangan struktur informasi, implementasi CMS WordPress, dan pelatihan staf, dengan harapan bahwa website ini dapat memberikan manfaat dalam memperluas pangsa pasar dan memperkuat branding perusahaan di era digital.
Co-Authors Farhan Akbar Hamada Zein Melisa Nur Aini Muhamad Wahyu Tirta Muhammad Khumaidi Nursyarif Nurul Jariah Wawan Joko Pranoto