CHATBOT PEMAHAMAN MENGENAI MATAKULIAH WAJIB DAN PRASYARAT UNTUK PENGISIAN KRS TIAP JURUSAN DI STT PLN MENGGUNAKAN METODE TF-IDF DAN COSINE SIMILARITY
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
PRATAMA, MUHAMMAD IRIANSYAH PUTRA
Putra, Rakhmadi Irfansyah
Kusuma, Dine Tiara
Putra, Rakhmadi Irfansyah
Kusuma, Dine Tiara
Subject
Teknik Informatika
Datestamp
2022-09-22 02:16:31
Abstract :
Chatbot is a system that is built with the function to answer questions automatically. Chatbots that will be discussed by the author are chatbot of understanding of compulsory subjects and prerequisites for filling KRS in each department at STT PLN using the TF-IDF and Cosine Similarity methods. TF-IDF method is used in matching sentences that contain terms to get the weight value of each sentence. After having the weight value each of the process will continue in the Cosine Similarity calculation. Cosine Similarity calculations obtained the level of similarity of each sentence. The more similar the sentence found, the higher the value of Cosine Similarity. The TF-IDF and Cosine Similarity methods on chatbot can answer questions according to the knowledge base they have with the Accuracy test value of 93.33%.
Chatbot is a system that is built with the function to answer questions automatically. Chatbots that will be discussed by the author are chatbot of understanding of compulsory subjects and prerequisites for filling KRS in each department at STT PLN using the TF-IDF and Cosine Similarity methods. TF-IDF method is used in matching sentences that contain terms to get the weight value of each sentence. After having the weight value each of the process will continue in the Cosine Similarity calculation. Cosine Similarity calculations obtained the level of similarity of each sentence. The more similar the sentence found, the higher the value of Cosine Similarity. The TF-IDF and Cosine Similarity methods on chatbot can answer questions according to the knowledge base they have with the Accuracy test value of 93.33%.
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