Pemodelan Graf Pengetahuan di Kesehatan: Sebuah Analisis Bibliometrik

Penulis

DOI:

https://doi.org/10.35143/jkt.v8i1.5373

Kata Kunci:

Analisis bibliometrik, Graf pengetahuan, Kesehatan

Abstrak

Masalah kesehatan saat ini merupakan masalah yang paling banyak diteliti di seluruh dunia. Banyak peneliti kesehatan berkolaborasi dengan peneliti non-kesehatan untuk meningkatkan kualitas kesehatan. Graf pengetahuan adalah pendekatan ilmu komputer dan matematika yang banyak digunakan untuk memecahkan masalah kesehatan. Graf pengetahuan dapat memodelkan hubungan antar peristiwa untuk membangun pengetahuan baru. Oleh karena itu, studi komprehensif tentang pemodelan grafik pengetahuan dalam perawatan kesehatan dilakukan dalam penelitian ini. Metodologi penelitian dalam penelitian ini adalah: (1) pencarian artikel dan analisis bibliometrik umum; (2) visualisasi distribusi penelitian; dan (3) rekomendasi penelitian. Dalam tiga tahun terakhir, 867 artikel diambil dari tiga database. Analisis metrik kutipan juga dilakukan untuk mengetahui tingkat kualitas temu kembali artikel. Analisis dilakukan dengan menggunakan visualisasi jaringan dan kepadatan terkait hubungan antara topik penelitian dan tren. Hasil akhir dalam makalah ini adalah rekomendasi topik penelitian dan judul penelitian terkait pemodelan graf pengetahuan di bidang kesehatan.

Unduhan

Data unduhan tidak tersedia.

Biografi Penulis

  • Muhammad Furqon, Universitas Jember
    Departemen Informatika
  • Nina Najwa, Politeknik Caltex Riau
    Departemen Sistem Informasi
  • Deny Hermansyah, Universitas Hayam Wuruk Perbanas
    Departemen Informatika
  • Mohammad Zarkasi, Universitas Jember
    Departemen Teknologi Informasi

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Diterbitkan

2022-05-31

Cara Mengutip

Pemodelan Graf Pengetahuan di Kesehatan: Sebuah Analisis Bibliometrik. (2022). Jurnal Komputer Terapan, 8(1), 113-122. https://doi.org/10.35143/jkt.v8i1.5373

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