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Al Zahwa, Naviza Yulia
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Computer Science & IT

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PEMANFAATAN METODE TOPIC MODELLING HIERARCHICAL DIRICHLET PROCESS DALAM MENGEVALUASI KUALITAS KONTEN WEBSITE BERDASARKAN ULASAN PENGGUNA Jatmika, Sunu; Mukti, Fransiska Sisilia; Aprilianto, Tria; Al Zahwa, Naviza Yulia
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 10 No 1 (2024): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v10i1.2199

Abstract

The evaluation of website content is important to ensure that the presented content aligns with users' needs and preferences. This can be accomplished by analyzing user reviews regarding the website's content. This research leverages the Hierarchical Dirichlet Process (HDP) method to automatically identify primary topics from 32 users' reviews, resulting in three main recurring topics: 'good', 'bug', and 'update'. Using the OSEMN framework, the final evaluation indicates that the 'good' topic exhibits the highest cosine similarity value compared to other topics. This signifies that the positive aspects highlighted in users' reviews regarding the website's content dominate and possess significant similarities among the reviews. These findings offer crucial insights into comprehending user evaluations of website content, serving as a basis for more effective and targeted content improvements moving forward.
Co-Authors Fransiska Sisilia Mukti Sunu Jatmika, Sunu Tria Aprilianto, Tria