Artificial intelligence dalam kesehatan mental: tinjauan perkembangan literatur

  • Wiki Lofandri 
    Universitas Negeri Padang
    Indonesia
  • Bayu Ramadhan Fajri
    Universitas Negeri Padang
    Indonesia
  • Mutia Ramdhatul Jannah
    Universitas Negeri Padang
    Indonesia

Abstract

Penelitian ini menganalisis evolusi kajian kecerdasan buatan (artificial intelligence/AI) pada bidang kesehatan mental melalui pendekatan bibliometrik. Data ditarik dari basis data Scopus menggunakan kombinasi Boolean pada bidang judul, abstrak, dan kata kunci, mencakup terbitan tahun 2016 hingga 2025 dengan tipe dokumen artikel berbahasa Inggris dari sumber jurnal pada tahap publikasi final, menghasilkan 529 artikel sebagai korpus akhir. Analisis dilakukan menggunakan aplikasi Biblioshiny berbasis paket Bibliometrix pada R, mencakup analisis produksi ilmiah tahunan, sitasi, Hukum Bradford, Hukum Lotka, jaringan ko-kemunculan kata kunci, kolaborasi antarnegara, pemetaan tematik, serta proyeksi siklus hidup topik. Hasil menunjukkan pertumbuhan publikasi yang sangat tajam sejak 2020, dengan lonjakan terbesar pada 2024 dan 2025, serta rata-rata sitasi per dokumen sebesar 17,4. Amerika Serikat, Tiongkok, dan India tercatat sebagai kontributor paling produktif, sementara Journal of Medical Internet Research dan IEEE Access menjadi sumber publikasi terbanyak. Analisis tematik menunjukkan bahwa kata kunci "machine learning", "mental health", dan "artificial intelligence" menempati posisi sentral sekaligus berkembang, sedangkan tema seperti chatbot percakapan dan deteksi berbasis ucapan/teks masih berada pada kuadran tema khusus (niche) dengan tingkat pengembangan yang belum matang. Model proyeksi siklus hidup mengindikasikan bahwa produksi tahunan topik ini diperkirakan mencapai puncak pada sekitar tahun 2028–2029 sebelum melandai. Temuan ini memberikan peta jalan empiris bagi peneliti, pengembang teknologi, dan pembuat kebijakan dalam merumuskan agenda riset AI untuk kesehatan mental yang lebih terarah pada tema yang masih berkembang, khususnya pada aspek etika, validasi klinis, dan representasi populasi di luar negara-negara dengan produktivitas tinggi.

Keywords
  • kecerdasan buatan; kesehatan mental; analisis bibliometrik; machine learning; Scopus
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