PEMODELAN DETEKSI BODY SHAMING DI MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES

LINGGA, IMELDA YOHANA ULI RASTRA (2019) PEMODELAN DETEKSI BODY SHAMING DI MEDIA SOSIAL TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Body shaming or physical humiliation that is increasingly prevalent on social media creates many bad influences such as reducing the dignity of victims and making victims as bullying material. To prevent this dangerous action, a body shaming detector is needed. By using data tweets collected through Twitter API, body shaming detection modeling is done using the Naïve Bayes classification algorithm and Rapid Miner software. In this study, six stages of data processing were carried out, namely tokenize, transform cases, stemming, filter stopwords, filter tokens by length and generate n-Grams. Validation is done using 10-fold cross validation. Evaluations are carried out using the Confusion Matrix table. The end result is the average value of accuracy and standard deviation of each iteration experiment. Key words: Body Shaming; Modelling; Twitter; Naïve Bayes; Rapid Miner; Body shaming atau penghinaan fisik yang semakin marak di media sosial menimbulkan banyak pengaruh buruk seperti menurunkan harkat dan martabat korban serta menjadikan korban sebagai bahan bullying. Untuk mencegah tindakan yang berbahaya tersebut, diperlukan sebuah pendeteksi body shaming. Dengan menggunakan data tweets yang dikumpulkan melalui Twitter API, pemodelan deteksi body shaming dilakukan menggunakan algoritma klasifikasi Naïve Bayes dan software Rapid Miner. Dalam penelitian ini dilakukan enam tahap pemrosesan data yaitu tokenize, transform cases, stemming, filter stopwords, filter tokens by length dan generate n-Grams. Validasi yang dilakukan menggunakan 10-fold cross validation. Evaluasi yang dilakukan menggunakan tabel Confusion Matrix. Hasil akhirnya adalah nilai rata-rata akurasi dan standar deviasi dari setiap percobaan iterasi. Kata kunci: Body Shaming; Modelling; Twitter; Naïve Bayes; Rapid Miner;

Item Type: Thesis (S1)
Call Number: JM/15/19/101
NIM: 41517110158
Uncontrolled Keywords: Body Shaming; Modelling; Twitter; Naïve Bayes; Rapid Miner;
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 006 Special Computer Methods/Metode Komputer Tertentu > 006.7 Multimedia Systems/Sistem-sistem Multimedia > 006.75 Social Multimedia/Multimedia Social
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 006 Special Computer Methods/Metode Komputer Tertentu > 006.7 Multimedia Systems/Sistem-sistem Multimedia > 006.75 Social Multimedia/Multimedia Social > 006.754 Online Social Network/Situs Jejaring Sosial, Sosial Media
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: Dede Muksin Lubis
Date Deposited: 11 Sep 2019 01:42
Last Modified: 11 Sep 2019 01:42
URI: http://repository.mercubuana.ac.id/id/eprint/50662

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