Implementasi Metode TF-IDF dan Cosine Similarity pada Chatbot Layanan Informasi Madrasah
DOI:
https://doi.org/10.29407/18mp4f54Abstract
Perkembangan teknologi informasi mendorong lembaga pendidikan untuk meningkatkan layanan informasi secara digital. Penelitian ini bertujuan merancang dan membangun Chatbot layanan informasi pendaftaran siswa baru berbasis Natural Language Processing pada MA Bahrul Ulum Tanjungjaya Subang menggunakan metode TF-IDF dan Cosine similarity. Dataset yang digunakan berupa Frequently Asked Questions yang berkaitan dengan layanan pendaftaran madrasah. Sistem dikembangkan menggunakan bahasa pemrograman Python dan framework Flask. Pengujian dilakukan menggunakan 80 pertanyaan dari delapan kategori layanan informasi. Hasil pengujian menunjukkan Chatbot mampu memberikan jawaban yang sesuai pada 63 pertanyaan dengan tingkat keberhasilan sebesar 78,75 persen. Hasil tersebut menunjukkan bahwa metode TF-IDF dan Cosine similarity cukup efektif digunakan pada Chatbot layanan informasi berbasis web.
Keywords:
Chatbot, Cosine similarity, natural language processing, pendaftaran siswa baru, TF-IDF##plugins.themes.default.displayStats.downloads##
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