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

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Klasifikasi Film Berdasarkan Sinopsis dengan Menggunakan Improved K-Nearest Neighbor (K-NN) Nurul Muslimah; Indriati Indriati; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Movie is audio visual communication media, which imply the message the movie creator wants to convey. Movie has several genres namely romantic, horror, thriller, comedy, fantasy and so on. Not a few movie connoisseurs are still confused about the differences in these genres. This resulted in many movie lovers who were difficult to distinguish the genre of movie so that the message in the movie could not be fully conveyed to the audience of the movie. Therefore, the classification of movies based on the synopsis of the movie can be one of the solutions to the problem. Classification in the movie synopsis will help in grouping movies with the appropriate genre. The genre genre classification process based on the synopsis begins with preprocessing, then weighting the term to classification with the Improved K-NN method. Based on the implementation and testing conducted in the movie classification research based on the synopsis using Improved K-NN which uses 250 documents as training data and 50 documents as the test data the best results are precision = 1, recall = 0.88, f-measure = 0.936170213, and an accuracy rate of 88%. As well as comparison with K-NN, it was proven that classification using the Improved K-NN method was better than the K-NN method.
Co-Authors Indriati Indriati Randy Cahya Wihandika