Sinaga, Ladys Maopatni (2019) Deteksi Komentar Bullying Di Media Sosial Dengan Neural Network. Other thesis, Universitas Komputer Indonesia.
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Abstract
Media sosial Facebook merupakan salah satu media sosial yang banyak digunakan. Bebasnya pengguna dalam berkomentar menjadi salah satu alasan terjadinya konten yang bersifat melukai (abuse) dan berakibat bullying (perundungan) di media sosial. Pemanfaatan machine learning dapat digunakan untuk mendeteksi komentar yang mengandung bully. Prerocessing yang digunakan meliputi case folding, cleaning, convert negation, stopwords removal dan tokenizing. TF-IDF digunakan dalam menghitung pembobotan setiap term. Metode Neural Network Backpropagation menjadi metode yang digunakan dalam penelitian ini. Hasil pengujian yang didapatkan dengan mengubah nilai epoch dan learning rate mendapat nilai rata – rata Precision sebesar 0.52, Recall dengan nilai rata – rata sebesar 0.40, dan f-measures sebesar 0.5 dimana akurasi terendah adalah 0.38 dan tertinggi adalah 0.8.
| Item Type: | Thesis (Other) |
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| Uncontrolled Keywords: | Machine learning, Facebook, bully, Neural Network Backpropagation, Preprocessing, TF-IDF |
| Subjects: | 000_COMPUTER SCIENCE, INFORMATION & GENERAL WORKS. > 004_Data Processing & Computer Science |
| Divisions: | S1_SKRIPSI > FTIK_Teknik Informatika (01) |
| Depositing User: | Mrs. Calis Maryani |
| Date Deposited: | 28 Nov 2019 03:23 |
| Last Modified: | 20 Sep 2021 08:34 |
| URI: | http://elibrary.unikom.ac.id/id/eprint/1347 |
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