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Abstrak
Tingginya angka perceraian dan penurunan minat untuk menikah di Indonesia memunculkan kebutuhan akan pendekatan baru dalam edukasi pranikah. Dengan memanfaatkan teknologi Natural Language Processing, penelitian ini bertujuan untuk mengembangkan mesih chatbot menjadi solusi dalam edukasi pre-nikah yang dengan memberikan informasi efektif dan efisien kepada pasangan calon pengantin secara realtime. Penelitian ini menggunakan model Bidirectional Encoder Representations from Transformers (BERT) dengan chatbot berupa konteks dari website Kementerian Agama dan buku edukasi pernikahan. Model ini diimplementasikan ke dalam chatbot melalui platform Telegram dan pengujiannya menggunakan pengujian Non-Respon-Rate dan metriks BERTScore. Hasil pengujian Non-Respon-Rate menunjukkan akurasi chatbot edukasi pranikah berbasis BERT sebesar 76,92% dengan akurasi tertinggi 92%. Sedangkan pengujian menggunakan BERTScore menunjukkan bahwa chatbot tersebut mencapai nilai precision 86%, recall 83%, dan F1-score 84%.
Kata Kunci
BERT
Chatbot
Edukasi Pranikah
Natural Language Processing
Rincian Artikel
Artikel ini berlisensi Creative Commons Attribution-NoDerivatives 4.0 International License.
Cara Mengutip
[1]
F. R. Fatonah, D. S. Maylawati, dan E. Nurlatifah, “Chatbot Edukasi Pra-Nikah berbasis Telegram Menggunakan Bidirectional Encoder Representations From Transformers (BERT)”, Jurnal Algoritma, vol. 21, no. 2, hlm. 29–40, Nov 2024.
References
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[2] S. Pi. , M. Si. Nindira Aryudhani, “Tingginya Angka Perceraian di Indonesia, Rapuhnya Bangunan Keluarga Tidak Sekadar Retorika,” Muslimah News Id.
[3] W. Wibisana, “Pernikahan dalam Islam,” J. Pendidik. Agama Islam - Ta”™lim, vol. 14, no. 2, p. 190, 2016.
[4] K. Aditama, “PEMANFAATAN NATURAL LANGUAGE PROCESSING DAN PATTERN MATCHING DALAM PEMBELAJARAN MELALUI GURU VIRTUAL,” ELKOM, vol. 13, no. 1, pp. 121”“133, 2020, [Online]. Available: http://ejurnal.stekom.ac.id/index.php/homeï‚ page121
[5] D. Patel, P. Raval, R. Parikh, and Y. Shastri, “Comparative Study of Machine Learning Models and BERT on SQuAD,” May 2020, [Online]. Available: http://arxiv.org/abs/2005.11313
[6] RACHEL STCLAIR, “What is Transfer Learning And How Is It Used In Machine Learning?,” aiplusinfo.
[7] T. Sun, J. He, X. Qiu, and X. Huang, “BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation,” Oct. 2022, [Online]. Available: http://arxiv.org/abs/2210.07626
[8] T. Zhang, V. Kishore, F. Wu, K. Q. Weinberger, and Y. Artzi, “BERTScore: Evaluating Text Generation with BERT,” Apr. 2019, [Online]. Available: http://arxiv.org/abs/1904.09675
[9] Bimas Islam Kementerian Agama RI, “Bimbingan Perkawinan,” Kementerian Agama. Accessed: Jun. 12, 2024. [Online]. Available: https://bimbinganperkawinan.kemenag.go.id/
[10] R. Mas, R. W. Panca, K. Atmaja1, and W. Yustanti2, “Analisis Sentimen Customer Review Aplikasi Ruang Guru dengan Metode BERT (Bidirectional Encoder Representations from Transformers),” JEISBI, vol. 02, p. 2021.
[11] I. J. Unanue, J. Parnell, and M. Piccardi, “BERTTune: Fine-Tuning Neural Machine Translation with BERTScore.” [Online]. Available: https://wit3.fbk.eu/2014-01
[12] J. Devlin, M.-W. Chang, K. Lee, K. T. Google, and A. I. Language, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” [Online]. Available: https://github.com/tensorflow/tensor2tensor
[13] F. Fatharani, K. P. Kania, J. Hutahaean, and S. R. Wulan, “Deteksi Intensi Chatbot Berbahasa Indonesia dengan Menggunakan Metode Capsule Network,” Journal of Information System Research (JOSH), vol. 3, no. 4, pp. 590”“596, Jul. 2022, doi: 10.47065/josh.v3i4.1821.
[14] L. A. Mahasiswa, “Question and Answering Menggunakan Model Bidirectional Encoder Representations from Transformers Bahasa Indonesia pada Fitur Chat.”
[15] A. D. Mulyanto, “Pemanfaatan Bot Telegram Untuk Media Informasi Penelitian,” MATICS, vol. 12, no. 1, p. 49, Apr. 2020, doi: 10.18860/mat.v12i1.8847.
[16] Y. Chen and F. Zulkernine, “BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering,” in 2021 IEEE International Conference on Big Data (Big Data), IEEE, Dec. 2021, pp. 3503”“3510. doi: 10.1109/BigData52589.2021.9671523.
[17] M. Qalimaturrahmah and D. B. Santoso, “Aplikasi Layanan dan Informasi Akademik Berbasis Chatbot Telegram Menggunakan Natural Language Processing,” Jurnal Teknologi Informasi dan Komunikasi), vol. 8, no. 2, p. 2024, 2024, doi: 10.35870/jti.
[18] E. Nila and I. Afrianto, “RANCANG BANGUN APLIKASI CHATBOT INFORMASI OBJEK WISATA KOTA BANDUNG DENGAN PENDEKATAN NATURAL LANGUAGE PROCESSING,” Jurnal Ilmiah Komputer dan Informatika (KOMPUTA), vol. 49, no. 1, 2015, [Online]. Available: www.bandungtourism.com.
[19] M. Hanna and O. Bojar, “A Fine-Grained Analysis of BERTScore.”
[20] “Implementasi NLP Pada Chatbot Layanan Akademik Dengan Algoritma Bert Implementation Of NLP On Academic Service Chatbot With Bertalgorithm.”
[21] H. Zhang, Y. N. Cheah, O. M. Alyasiri, and J. An, “Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey,” Artif Intell Rev, vol. 57, no. 2, Feb. 2024, doi: 10.1007/s10462-023-10633-x.
References
[1] M. Kes. Juanmartin, “Menelaah Alasan Personal dan Sistemis dari Fenomena ”˜Takut Menikah,”™” muslimah news.
[2] S. Pi. , M. Si. Nindira Aryudhani, “Tingginya Angka Perceraian di Indonesia, Rapuhnya Bangunan Keluarga Tidak Sekadar Retorika,” Muslimah News Id.
[3] W. Wibisana, “Pernikahan dalam Islam,” J. Pendidik. Agama Islam - Ta”™lim, vol. 14, no. 2, p. 190, 2016.
[4] K. Aditama, “PEMANFAATAN NATURAL LANGUAGE PROCESSING DAN PATTERN MATCHING DALAM PEMBELAJARAN MELALUI GURU VIRTUAL,” ELKOM, vol. 13, no. 1, pp. 121”“133, 2020, [Online]. Available: http://ejurnal.stekom.ac.id/index.php/homeï‚ page121
[5] D. Patel, P. Raval, R. Parikh, and Y. Shastri, “Comparative Study of Machine Learning Models and BERT on SQuAD,” May 2020, [Online]. Available: http://arxiv.org/abs/2005.11313
[6] RACHEL STCLAIR, “What is Transfer Learning And How Is It Used In Machine Learning?,” aiplusinfo.
[7] T. Sun, J. He, X. Qiu, and X. Huang, “BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation,” Oct. 2022, [Online]. Available: http://arxiv.org/abs/2210.07626
[8] T. Zhang, V. Kishore, F. Wu, K. Q. Weinberger, and Y. Artzi, “BERTScore: Evaluating Text Generation with BERT,” Apr. 2019, [Online]. Available: http://arxiv.org/abs/1904.09675
[9] Bimas Islam Kementerian Agama RI, “Bimbingan Perkawinan,” Kementerian Agama. Accessed: Jun. 12, 2024. [Online]. Available: https://bimbinganperkawinan.kemenag.go.id/
[10] R. Mas, R. W. Panca, K. Atmaja1, and W. Yustanti2, “Analisis Sentimen Customer Review Aplikasi Ruang Guru dengan Metode BERT (Bidirectional Encoder Representations from Transformers),” JEISBI, vol. 02, p. 2021.
[11] I. J. Unanue, J. Parnell, and M. Piccardi, “BERTTune: Fine-Tuning Neural Machine Translation with BERTScore.” [Online]. Available: https://wit3.fbk.eu/2014-01
[12] J. Devlin, M.-W. Chang, K. Lee, K. T. Google, and A. I. Language, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” [Online]. Available: https://github.com/tensorflow/tensor2tensor
[13] F. Fatharani, K. P. Kania, J. Hutahaean, and S. R. Wulan, “Deteksi Intensi Chatbot Berbahasa Indonesia dengan Menggunakan Metode Capsule Network,” Journal of Information System Research (JOSH), vol. 3, no. 4, pp. 590”“596, Jul. 2022, doi: 10.47065/josh.v3i4.1821.
[14] L. A. Mahasiswa, “Question and Answering Menggunakan Model Bidirectional Encoder Representations from Transformers Bahasa Indonesia pada Fitur Chat.”
[15] A. D. Mulyanto, “Pemanfaatan Bot Telegram Untuk Media Informasi Penelitian,” MATICS, vol. 12, no. 1, p. 49, Apr. 2020, doi: 10.18860/mat.v12i1.8847.
[16] Y. Chen and F. Zulkernine, “BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering,” in 2021 IEEE International Conference on Big Data (Big Data), IEEE, Dec. 2021, pp. 3503”“3510. doi: 10.1109/BigData52589.2021.9671523.
[17] M. Qalimaturrahmah and D. B. Santoso, “Aplikasi Layanan dan Informasi Akademik Berbasis Chatbot Telegram Menggunakan Natural Language Processing,” Jurnal Teknologi Informasi dan Komunikasi), vol. 8, no. 2, p. 2024, 2024, doi: 10.35870/jti.
[18] E. Nila and I. Afrianto, “RANCANG BANGUN APLIKASI CHATBOT INFORMASI OBJEK WISATA KOTA BANDUNG DENGAN PENDEKATAN NATURAL LANGUAGE PROCESSING,” Jurnal Ilmiah Komputer dan Informatika (KOMPUTA), vol. 49, no. 1, 2015, [Online]. Available: www.bandungtourism.com.
[19] M. Hanna and O. Bojar, “A Fine-Grained Analysis of BERTScore.”
[20] “Implementasi NLP Pada Chatbot Layanan Akademik Dengan Algoritma Bert Implementation Of NLP On Academic Service Chatbot With Bertalgorithm.”
[21] H. Zhang, Y. N. Cheah, O. M. Alyasiri, and J. An, “Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey,” Artif Intell Rev, vol. 57, no. 2, Feb. 2024, doi: 10.1007/s10462-023-10633-x.
[2] S. Pi. , M. Si. Nindira Aryudhani, “Tingginya Angka Perceraian di Indonesia, Rapuhnya Bangunan Keluarga Tidak Sekadar Retorika,” Muslimah News Id.
[3] W. Wibisana, “Pernikahan dalam Islam,” J. Pendidik. Agama Islam - Ta”™lim, vol. 14, no. 2, p. 190, 2016.
[4] K. Aditama, “PEMANFAATAN NATURAL LANGUAGE PROCESSING DAN PATTERN MATCHING DALAM PEMBELAJARAN MELALUI GURU VIRTUAL,” ELKOM, vol. 13, no. 1, pp. 121”“133, 2020, [Online]. Available: http://ejurnal.stekom.ac.id/index.php/homeï‚ page121
[5] D. Patel, P. Raval, R. Parikh, and Y. Shastri, “Comparative Study of Machine Learning Models and BERT on SQuAD,” May 2020, [Online]. Available: http://arxiv.org/abs/2005.11313
[6] RACHEL STCLAIR, “What is Transfer Learning And How Is It Used In Machine Learning?,” aiplusinfo.
[7] T. Sun, J. He, X. Qiu, and X. Huang, “BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation,” Oct. 2022, [Online]. Available: http://arxiv.org/abs/2210.07626
[8] T. Zhang, V. Kishore, F. Wu, K. Q. Weinberger, and Y. Artzi, “BERTScore: Evaluating Text Generation with BERT,” Apr. 2019, [Online]. Available: http://arxiv.org/abs/1904.09675
[9] Bimas Islam Kementerian Agama RI, “Bimbingan Perkawinan,” Kementerian Agama. Accessed: Jun. 12, 2024. [Online]. Available: https://bimbinganperkawinan.kemenag.go.id/
[10] R. Mas, R. W. Panca, K. Atmaja1, and W. Yustanti2, “Analisis Sentimen Customer Review Aplikasi Ruang Guru dengan Metode BERT (Bidirectional Encoder Representations from Transformers),” JEISBI, vol. 02, p. 2021.
[11] I. J. Unanue, J. Parnell, and M. Piccardi, “BERTTune: Fine-Tuning Neural Machine Translation with BERTScore.” [Online]. Available: https://wit3.fbk.eu/2014-01
[12] J. Devlin, M.-W. Chang, K. Lee, K. T. Google, and A. I. Language, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” [Online]. Available: https://github.com/tensorflow/tensor2tensor
[13] F. Fatharani, K. P. Kania, J. Hutahaean, and S. R. Wulan, “Deteksi Intensi Chatbot Berbahasa Indonesia dengan Menggunakan Metode Capsule Network,” Journal of Information System Research (JOSH), vol. 3, no. 4, pp. 590”“596, Jul. 2022, doi: 10.47065/josh.v3i4.1821.
[14] L. A. Mahasiswa, “Question and Answering Menggunakan Model Bidirectional Encoder Representations from Transformers Bahasa Indonesia pada Fitur Chat.”
[15] A. D. Mulyanto, “Pemanfaatan Bot Telegram Untuk Media Informasi Penelitian,” MATICS, vol. 12, no. 1, p. 49, Apr. 2020, doi: 10.18860/mat.v12i1.8847.
[16] Y. Chen and F. Zulkernine, “BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering,” in 2021 IEEE International Conference on Big Data (Big Data), IEEE, Dec. 2021, pp. 3503”“3510. doi: 10.1109/BigData52589.2021.9671523.
[17] M. Qalimaturrahmah and D. B. Santoso, “Aplikasi Layanan dan Informasi Akademik Berbasis Chatbot Telegram Menggunakan Natural Language Processing,” Jurnal Teknologi Informasi dan Komunikasi), vol. 8, no. 2, p. 2024, 2024, doi: 10.35870/jti.
[18] E. Nila and I. Afrianto, “RANCANG BANGUN APLIKASI CHATBOT INFORMASI OBJEK WISATA KOTA BANDUNG DENGAN PENDEKATAN NATURAL LANGUAGE PROCESSING,” Jurnal Ilmiah Komputer dan Informatika (KOMPUTA), vol. 49, no. 1, 2015, [Online]. Available: www.bandungtourism.com.
[19] M. Hanna and O. Bojar, “A Fine-Grained Analysis of BERTScore.”
[20] “Implementasi NLP Pada Chatbot Layanan Akademik Dengan Algoritma Bert Implementation Of NLP On Academic Service Chatbot With Bertalgorithm.”
[21] H. Zhang, Y. N. Cheah, O. M. Alyasiri, and J. An, “Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey,” Artif Intell Rev, vol. 57, no. 2, Feb. 2024, doi: 10.1007/s10462-023-10633-x.