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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.
DETERMINANTS OF GEN Z PURCHASE INTENTION: THE INTERVENING ROLE OF PERCEIVED VALUE Al Zahwa, Naviza Yulia; Handoko, Yunus; Maskan, Mohammad
Distribusi - Journal of Management and Business Vol. 14 No. 1 (2026): Distribusi, March 2026
Publisher : Fakultas Ekonomi dan Bisnis Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/distribusi.v14i1.681

Abstract

The development of technology has changed consumer behavior, especially among Generation Z, who are known as natives and are active in interacting on e-commerce platforms and social media. The phenomena of live shopping, influencer credibility, and user-generated content (UGC) have become key strategies capable of shaping consumers' purchase intentions. This study aims to analyze the influence of live shopping, influencer credibility, and user-generated content on purchase intention, with perceived value as a mediating variable among Generation Z in Surabaya. This research uses a quantitative approach with a survey method. The research population consists of Generation Z aged 12–27 years in Surabaya who actively shop online. The sampling technique uses purposive sampling. Data were collected through questionnaires and analyzed using path analysis with the assistance of SmartPLS 3.0 statistical software. The results show that live shopping and user-generated content have a positive and significant effect on Generation Z's purchase intention. Influencer credibility does not have a direct effect on purchase intention. Influencer credibility and user-generated content have a positive effect on perceived value. Perceived value does not affect purchase intention and does not function as a mediating variable. These findings indicate that Generation Z's purchase intention is more influenced by direct factors and shopping experience than by perceived value. The practical implications of this study emphasize the importance of marketing strategies based on interactive content, shopping experience, and ease of transaction. Future research is recommended to integrate additional variables and expand the context and research objects to increase the generalizability of the research.