Penerapan Algoritma TF-IDF dan Cosine Similarity pada Fitur Chatbot untuk Layanan Pelanggan dan Operasional E-Commerce (Studi Kasus: PT Radhika Narya Daruna)
DOI:
https://doi.org/10.51903/mifortekh.v6i2.1386Kata Kunci:
Chatbot, Cosine Similarity, Gemini API, Interactive Sales Assistant, Retrieval-Augmented Generation, TF-IDFAbstrak
Responsive, accurate, and full-time customer service is essential for supporting e-commerce platform operations. PT Radhika Narya Daruna requires an update to its customer service system to facilitate product information communication and facilitate transactions more efficiently. This research aims to design and implement a web-based intelligent chatbot system that functions as an integrated Interactive Sales Assistant. The system development applies a hybrid method approach within the Retrieval-Augmented Generation (RAG) architecture framework. In the Natural Language Understanding (NLA) stage, the system implements the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm for word weighting and Cosine Similarity to mathematically validate the relevance of questions against a corpus of Frequently Asked Questions (FAQs). Questions that meet the relevance threshold are then combined with actual product catalog data into a dynamic prompt.
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