ANALISIS SPEECH-TO-TEXT PADA VIDEO MENGANDUNG KATA KASAR DAN UJARAN KEBENCIAN DALAM CERAMAH AGAMA ISLAM MENGGUNAKAN INTERPRETASI AUDIENS DAN VISUALISASI WORD CLOUD
Keywords:
kata kasar, ujaran kebencian, ceramah agama islam, media sosial, word cloud
Abstract
Di era revolusi industri 4.0 saat ini, penggunaan media sosial sangat berkembang pesat dengan terjadinya interaksi dan komunikasi antarmanusia dalam dunia maya. Namun, terkadang ditemui adanya pengguna media sosial yang menyalahgunakan untuk kepentingan tertentu, salah satunya ceramah agama yang mengandung kata-kata kasar dan ujaran kebencian. Semakin banyak kekeliruan dalam memahami agama dikarenakan apa yang disampaikan oleh penceramah bukanlah tentang agama itu sendiri, tetapi justru menghasut, menghina dan memprovokasi para pendengarnya untuk tujuan tertentu. Oleh karena itu, penelitian ini mengusulkan analisis speech-to-text pada video yang mengandung kata-kata kasar dan ujaran kebencian dalam ceramah agama islam menggunakan interpretasi audiens dan visualisasi word cloud. Hasil penelitian menunjukkan bahwa sebanyak 3 penceramah agama dan total terdapat 9 video di mana masing-masing video berdurasi 3 menit mengandung kata-kata kasar dan ujaran kebencian.
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References
[1] S. Maulida and S. Riyanto, "The Influence Of Youtube Influencer (Youtuber) On A Brand Promoted Through Social Media (Youtube)," Magister Agribisnis, vol. 22, no. 1, pp. 79-86, 2022.
[2] M. A. Walters, R. Brown and S. Wiedlitzka, Causes and Motivations of Hate Crime, Manchester: Equality and Human Rights Commission, 2016.
[3] R. Atenstaedt, "Word Cloud Analysis of the BJGP," British Journal of General Practice, vol. 62, no. 596, p. 148, 2012.
[4] V. Ibrahim, J. A. Bakar, N. H. Harun and A. F. Abdulateef, "A Word Cloud Model based on Hate Speech in an Online Social Media Environment," Baghdad Science Journal, vol. 18, no. 2, pp. 937-946, 2021.
[5] N. Venkatesh and A. Kalaivani, "Word Cloud for Online Mobile Phone Tweets towards Sentiment Analysis," International Journal of Engineering and Advanced Technology, vol. 8, no. 6, pp. 683-689, 2019.
[6] M. Ulfa, S. Aminah and E. Hafizah, "Analisis Word Cloud pada Pesan Dakwah Program siaran Radio Diah Rosanti 95,9 FM Pontianak," Perspektif Komunikasi: Jurnal Ilmu Komunikasi Politik dan Komunikasi Bisnis, vol. 4, no. 2, pp. 207-218, 2020.
[7] M. G. Pradana, "Penggunaan Fitur Wordcloud dan Document Term Matrix dalam Text Mining," Jurnal Ilmiah Informatika, vol. 8, no. 1, pp. 38-43, 2020.
[8] M. O. Ibrahim dan I. Budi, “Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter,” dalam Proceedings of the Third Workshop on Abusive Language Online, Florence, 2019.
[9] Article19.org, Penjelasan ‘Ujaran Kebencian’ Panduan: Edisi 15, London: Article 19 Press, 2015.
[10] Undang-undang Republik Indonesia Nomor 19 Tahun 2016, Perubahan Atas Undang-undang Nomor 11 Tahun 2008 Tentang Informasi Dan Transaksi Elektronik, Jakarta: Presiden Republik Indonesia, 2016.
[11] A. Kumar and V. Mittal, "Speech Recognition: A Complete Perspective," International Journal of Recent Technology and Engineering (IJRTE), vol. 7, no. 6, pp. 78-83, 2019.
[12] . A. Zhang, "pypi.org," The Python Package Index (PyPI), 5 December 2017. [Online]. Available: https://pypi.org/project/SpeechRecognition/. [Accessed 3 February 2022].
[13] N. Parveen, P. CH, R. Y, G. Y and V. , "Library Audiobook System Using Speech Recognition," Turkish Journal of Computer and Mathematics Education, vol. 12, no. 9, pp. 411-416, 2021.
[14] G. C. D. Team, "Google Cloud," Google, 8 February 2022. [Online]. Available: https://cloud.google.com/speech-to-text/quotas. [Accessed 10 February 2022].
[15] A. F. Hidayatullah and M. R. Ma’arif, "Pre-processing Tasks in Indonesian Twitter Messages," Journal of Physics: Conference Series, vol. 801, pp. 1-6, 2017.
[16] N. Team, "pypi.org," The Python Package Index (PyPI), 9 February 2022. [Online]. Available: https://pypi.org/project/nltk/. [Accessed 10 February 2022].
[17] H. A. Robbani, "pypi.org," The Python Package Index (PyPI), 23 September 2018. [Online]. Available: https://pypi.org/project/PySastrawi/. [Accessed 4 February 2022].
[18] F. Widodo, M. John, E. Marbach, S. Lohmann, F. Heimerl and T. Ertl, "MultiCloud: Interactive Word Cloud Visualization for Multiple Texts," in Proceedings of the 44th Graphics Interface Conference, Toronto, 2018.
[19] A. Mueller, "pypi.org," The Python Package Index (PyPI), 12 November 2020. [Online]. Available: https://pypi.org/project/wordcloud/. [Accessed 4 February 2022].
[2] M. A. Walters, R. Brown and S. Wiedlitzka, Causes and Motivations of Hate Crime, Manchester: Equality and Human Rights Commission, 2016.
[3] R. Atenstaedt, "Word Cloud Analysis of the BJGP," British Journal of General Practice, vol. 62, no. 596, p. 148, 2012.
[4] V. Ibrahim, J. A. Bakar, N. H. Harun and A. F. Abdulateef, "A Word Cloud Model based on Hate Speech in an Online Social Media Environment," Baghdad Science Journal, vol. 18, no. 2, pp. 937-946, 2021.
[5] N. Venkatesh and A. Kalaivani, "Word Cloud for Online Mobile Phone Tweets towards Sentiment Analysis," International Journal of Engineering and Advanced Technology, vol. 8, no. 6, pp. 683-689, 2019.
[6] M. Ulfa, S. Aminah and E. Hafizah, "Analisis Word Cloud pada Pesan Dakwah Program siaran Radio Diah Rosanti 95,9 FM Pontianak," Perspektif Komunikasi: Jurnal Ilmu Komunikasi Politik dan Komunikasi Bisnis, vol. 4, no. 2, pp. 207-218, 2020.
[7] M. G. Pradana, "Penggunaan Fitur Wordcloud dan Document Term Matrix dalam Text Mining," Jurnal Ilmiah Informatika, vol. 8, no. 1, pp. 38-43, 2020.
[8] M. O. Ibrahim dan I. Budi, “Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter,” dalam Proceedings of the Third Workshop on Abusive Language Online, Florence, 2019.
[9] Article19.org, Penjelasan ‘Ujaran Kebencian’ Panduan: Edisi 15, London: Article 19 Press, 2015.
[10] Undang-undang Republik Indonesia Nomor 19 Tahun 2016, Perubahan Atas Undang-undang Nomor 11 Tahun 2008 Tentang Informasi Dan Transaksi Elektronik, Jakarta: Presiden Republik Indonesia, 2016.
[11] A. Kumar and V. Mittal, "Speech Recognition: A Complete Perspective," International Journal of Recent Technology and Engineering (IJRTE), vol. 7, no. 6, pp. 78-83, 2019.
[12] . A. Zhang, "pypi.org," The Python Package Index (PyPI), 5 December 2017. [Online]. Available: https://pypi.org/project/SpeechRecognition/. [Accessed 3 February 2022].
[13] N. Parveen, P. CH, R. Y, G. Y and V. , "Library Audiobook System Using Speech Recognition," Turkish Journal of Computer and Mathematics Education, vol. 12, no. 9, pp. 411-416, 2021.
[14] G. C. D. Team, "Google Cloud," Google, 8 February 2022. [Online]. Available: https://cloud.google.com/speech-to-text/quotas. [Accessed 10 February 2022].
[15] A. F. Hidayatullah and M. R. Ma’arif, "Pre-processing Tasks in Indonesian Twitter Messages," Journal of Physics: Conference Series, vol. 801, pp. 1-6, 2017.
[16] N. Team, "pypi.org," The Python Package Index (PyPI), 9 February 2022. [Online]. Available: https://pypi.org/project/nltk/. [Accessed 10 February 2022].
[17] H. A. Robbani, "pypi.org," The Python Package Index (PyPI), 23 September 2018. [Online]. Available: https://pypi.org/project/PySastrawi/. [Accessed 4 February 2022].
[18] F. Widodo, M. John, E. Marbach, S. Lohmann, F. Heimerl and T. Ertl, "MultiCloud: Interactive Word Cloud Visualization for Multiple Texts," in Proceedings of the 44th Graphics Interface Conference, Toronto, 2018.
[19] A. Mueller, "pypi.org," The Python Package Index (PyPI), 12 November 2020. [Online]. Available: https://pypi.org/project/wordcloud/. [Accessed 4 February 2022].
Published
2022-07-26
How to Cite
[1]
T. Fahrudin, A. Sari, A. Lisanthoni, and A. Lestari, “ANALISIS SPEECH-TO-TEXT PADA VIDEO MENGANDUNG KATA KASAR DAN UJARAN KEBENCIAN DALAM CERAMAH AGAMA ISLAM MENGGUNAKAN INTERPRETASI AUDIENS DAN VISUALISASI WORD CLOUD”, SKANIKA, vol. 5, no. 2, pp. 190-202, Jul. 2022.
Section
Articles
