Penerapan Algoritma Cosine Similarity dan Pembobotan TF-IDF System Penerimaan Mahasiswa Baru pada Kampus Swasta

Apriani Apriani; Hizbu Zakiyudin; Khairan Marzuki

doi:10.30812/bite.v3i1.1110

Apriani Apriani Universitas Bumigora
Hizbu Zakiyudin
Khairan Marzuki Universitas Bumigora

DOI: https://doi.org/10.30812/bite.v3i1.1110

Abstract

The era of globalization is marked by the development of technology and
information, this has an impact on the human need for information. PMB
(Reception New Students) is a routine college activity at each opening of new
teachings. The implementation of PMB is not without questions that has been
asked before. By making use of technology information the an FAQ (Frequently
Asked Questions) was born which contain answers of the questions that are
often asked by people who are need information. To reduce the question
repeatedly, then an FAQ answering system was built by applying TF-IDF (Term
Frequency - Inverse Document) and the cosine similarity algorithm. TF-IDF
weighting is a method for giving weights the relationship of a word (term) to a
document is based on two concepts, namely frequency of occurrence of words in
a document and frequency inverse documents containing the word. Meanwhile,
cosine similarity is a method used to calculate the level of similarity between
two objects. This method calculates the similarity between two pieces the object
represented in two vectors using keywords of a document as a measure. This
study uses 7 data samples from all FAQ data obtained from an interview with
Ms. Susilawati, S.Kom. The sample data used will go through a process
preprocessing, TF-IDF weighting, and the cosine similarity method for
determines the highest level of similarity that will come out as a result end. By
using TF-IDF weighting and the cosine similarity method on 7 sample data can
get an accuracy rate of up to 64,28%.

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