📅 17 July 2025
DOI: 10.51903/qd2vme79
Sentimen Analisis Photoshop Express di Google Play Store Menggunakan Metode Naive Bayes dan CNN
Jurnal Elektronika dan Komputer
Universitas Sains dan Teknologi Komputer
📄 Abstract
Technological advancements have brought fundamental changes in the way we interact with digital images and photography. One significant milestone in this development is the Photoshop Express Photo Editor, which has become a primary platform for image processing and editing. Datasets are used to analyze sentiment and are utilized during the accuracy testing phase. Based on the testing results, the Convolutional Neural Network (CNN) algorithm achieved an average accuracy value of 86.50%, compared to the Naïve Bayes (NB) algorithm, which achieved an average accuracy value of 75%. The results of the research conclude that the choice of sentiment analysis method should be tailored to the needs and limitations of the system. If a fast, light, and easy-to-understand process is required, the Naive Bayes method is the right choice. However, if accuracy and context understanding are the top priorities, then CNN is a superior approach, although it requires more resources. Additionally, based on the Wordcloud data, it is known that the majority of comments are positive, indicating that the reviews or texts analyzed contain many positive expressions related to quality, usability, and ease of use.
🔖 Keywords
#sentimen analisis; photoshop; google play store; Naive Bayes; Convolutional Neural Network; Sentimen Analisis; Photoshop; Google Play; Naive Bayes; CNN
ℹ️ Informasi Publikasi
Tanggal Publikasi
17 July 2025
Volume / Nomor / Tahun
Volume 18, Nomor 1, Tahun 2025
📝 HOW TO CITE
Lailiah, Badariatul; saadah, Rabiatus; Rizka Dahlia; saadah, Rabiatus, "Sentimen Analisis Photoshop Express di Google Play Store Menggunakan Metode Naive Bayes dan CNN," Jurnal Elektronika dan Komputer, vol. 18, no. 1, Jul. 2025.
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