Analisis Kinerja Metode Content-Based Filtering dalam Rekomendasi Obat Alternatif Berdasarkan Metadata Obat pada Sistem Informasi Apotek

Authors

  • Mochammad Atur Akbar Loredo Hariyanto Putra Universitas Nusantara PGRI Kediri Indonesia
  • Daniel Swanjaya Universitas Nusantara PGRI Kediri Indonesia
  • Resty Wulanningrum Universitas Nusantara PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/bm3yxz86

Abstract

Penelitian ini bertujuan mengimplementasikan metode Content-Based Filtering (CBF) untuk merekomendasikan obat alternatif berdasarkan metadata obat pada sistem informasi Apotek Cokro Kota Kediri. Permasalahan yang dihadapi adalah proses pencarian obat alternatif yang masih dilakukan secara manual ketika stok obat utama tidak tersedia sehingga memperlambat pelayanan transaksi kasir. Penelitian menggunakan metadata obat berupa nama obat, kandungan aktif, dan indikasi obat yang diproses menggunakan pembobotan TF-IDF dan perhitungan Cosine Similarity untuk menentukan tingkat kemiripan antarobat. Dataset penelitian terdiri dari 300 data obat yang diperoleh dari database internal apotek. Hasil penelitian menunjukkan bahwa sistem mampu menghasilkan rekomendasi obat alternatif dengan nilai similarity tertinggi sebesar 0,83 dan membantu mempercepat proses pencarian obat saat stok utama tidak tersedia. Hasil rekomendasi juga telah divalidasi oleh apoteker dan dinilai sesuai berdasarkan kesamaan kandungan aktif dan indikasi obat.

Keywords:

cosine similarity, content-based filtering, rekomendasi obat, sistem informasi apotek, TF-IDF.

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Published

2026-07-20

Issue

Vol. 10 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2026

Section

Articles

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How to Cite

Analisis Kinerja Metode Content-Based Filtering dalam Rekomendasi Obat Alternatif Berdasarkan Metadata Obat pada Sistem Informasi Apotek. (2026). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 10(1), 422-432. https://doi.org/10.29407/bm3yxz86