Analisis Trust Issue Pernikahan Gen Z dengan Metode K-Means Clustering dan LDA Topic Modeling
DOI:
https://doi.org/10.71417/jitie.v1i2.48Keywords:
Data Mining, Generasi Z, K-Means Clustering, Lda Topic Modeling, Trust IssueAbstract
Fenomena trust issue pernikahan Generasi Z semakin menonjol di media sosial Indonesia, didorong oleh trauma relasional, kecemasan komitmen, dan ketidakstabilan ekonomi, sebagaimana tercermin dalam tren penurunan angka pernikahan BPS. Penelitian ini bertujuan menganalisis pola persepsi Gen Z melalui integrasi data kuesioner, BPS, dan Twitter menggunakan data mining. Pendekatan kuantitatif menerapkan K-Means Clustering dan LDA Topic Modeling. Populasi Gen Z (18-27 tahun) di Indonesia; sampel 300 responden kuesioner purposive dan 10.000 tweet (2024). Instrumen mencakup kuesioner Likert, data BPS sekunder, dan scraping Twitter; analisis via TF-IDF, Z-score, Euclidean distance, serta cross-tabulation. Hasil menunjukkan tiga klaster K-Means (optimis-stabil, trauma relasional, kecemasan tinggi) dan topik LDA dominan (perselingkuhan, trauma, ekonomi), diperkuat tren BPS perceraian naik. Penelitian menyimpulkan trust issue sebagai interaksi psikologis-digital-ekonomi, merekomendasikan edukasi pranikah digital dan kebijakan ekonomi pemuda.
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Copyright (c) 2025 Najwa Agustin, Rahma Amanila, Anisa Febriyanti (Author)
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