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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Irma Pujadayanti
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Prediksi Rating Otomatis pada Ulasan Produk Kecantikan dengan Metode Naive Bayes dan N-gram Irma Pujadayanti; Mochammad Ali Fauzi; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The rise of beauty products also pound Indonesia especially imported products. This has triggered intense competition between local and foreign beauty products industry players. Therefore, the need for innovation in their products. The large number of review data in various online sources is useful as a review material for producers to innovate their products. For Consumer the data is useful as information before buying the product. The review data is often also has not been accompanied by a rating that makes manufacturers have difficulty in categorizing into a certain sentiment. In this study helps to accelerate the categorization of reviews into sentiment in the form of rating. The system built on this research uses the naive bayes classification method and the addition of n-gram method to pre-processing. The use of n-grams including unigram, bigram and combination of unigram and bigram aims to improve the classification results. On testing the best result system in full pre-processing scenario on all n-grams. Accuracy of 50%, 93%, 93% unigram while the accuracy of bigram is 39%, 87%, 83% and the highest accuracy is a combination of 49%, 97%, 96% with tolerance 0, tolerance 1 and sentiment reviews. The results showed that the use of n-grams was enough effective in solving the problems in the study.
Co-Authors M. Ali Fauzi Yuita Arum Sari