Rancang Bangun Kamus Digital Berbasis Chatbot Menggunakan Pendekatan Pattern Matching
DOI:
https://doi.org/10.30865/mib.v6i4.4910Keywords:
Design, Dictionary, Chatbots, Pattern Matching, Artificial IntelligenceAbstract
The rapid development of technology today has had an impact on various fields of life, one of which is in the world of education. The application of information technology in the learning process at school or on campus has become commonplace. Smart devices such as smartphones connected to the internet can help the learning process and help encourage the communication process between educational stakeholders. In online learning, the process of communication and interaction between students and teachers switches through instant messaging providers. Taken from the 2019 digital report data issued by We Are Social Hotsuit, it is stated that the most popular instant messaging application in Indonesia is WhatsApp, where 83% of internet users in Indonesia are WhatsApp users, with this data making Indonesia one of the countries with the largest number of users in the world. Based on this, to support the performance of teachers in delivering learning materials, as well as provide faster access in searching for the required terms, this study built a digital chatbot-based dictionary that was embedded in the instant messaging application as the most popular message delivery medium in Indonesia. The process of building a chatbot-based digital dictionary in this study was carried out using the pattern matching method, which is a method included in the study of artificial intelligence that recognizes input from users to be matched with data stored in the database, and the appropriate response will be returned to the user. The subject content that is sampled in making this digital dictionary is physics. The result of this study is the existence of a chatbot-based digital dictionary that can assist students in finding definitions of various terms and formulas related to physics material, given by the teacher which students can access at any time as long as they are connected to the internet.References
M. Siahaan, “Dampak Pandemi Covid-19 Terhadap Dunia Pendidikan,†Jurnal Kajian Ilmiah, vol. Edisi Khusus, no. 1, pp. 1-3, 2020.
Tim Penyusun dari Kementrian Pendidikan dan Kebudayaan, Buku Saku Bantuan Kuota Data Internet 2021, Jakarta: Kementrian Pendidikan dan Kebudayaan, 2021.
B. Clinten, “Orang Indonesia Rata-rata Menghabiskan Kuota Internet Sebesar Ini Tiap Bulan,†tekno.kompas.com, 9 Agustus 2021. [Online]. Available: https://tekno.kompas.com/read/2021/08/09/11100087/orang-indonesia-rata-rata-menghabiskankuota-internet-sebesar-ini-tiap-bulan. [Diakses 23 Juli 2022].
I. F. Francesco Rizzato, Quantifying The Impact Of 5G and Covid-19 On Mobile Data Consumption, London - United Kingdom: OpenSignal, 2021.
A. S. Wardani, “83 Persen Pengguna Internet Indonesia Pakai WhatsApp,†www.liputan6.com, 18 November 2019. [Online]. Available: https://www.liputan6.com/tekno/read/4113678/83-persenpengguna-internet-indonesia-pakai-whatsapp. [Diakses 23 Agustus 2022].
N. H. H. Cahyo Prianto, “The Covid-19 Chatbot Application Using A Natural Language,†International Journal of Information Sistem & Technology, vol. 5, no. 2, pp. 198-206, 2021.
N. H. H. Cahyo Prianto, Aplikasi Chatbot Covid19 Menggunakan Pendekatan Natural Language Processing, Bandung: Politeknik Pos Indonesia, 2021.
M. Dahiya, “A Tool of Conversation : Chatbot,†International Journal Of Computer Sciences and Engineering, vol. 5, no. 5, pp. 158 - 161, 2017.
P. S. Mareta Maulidiyanti, “Inovasi Layanan Informasi Digital Dengan Chatbot Di HUMAS Institusi Pendidikan,†Jurnal Sosial Humaniora Terapan , vol. 2, no. 1, pp. 22-34, 2019.
L. M. Eleni Adamopoulou, “Machine Learning with Applications,†Elsevier, vol. 2, 2020.
M. F. R. M. O. M Alifian Zulkarnain, “Perancangan Aplikasi Chatbot Sebagai Media E-Learning Bagi Siswaâ€. Elektron Jurnal Ilmiah, vol. 12, no. 2, pp. 88-95, 2020.
Rheno, M.B, “Aplikasi Sederhana Pattern Matching dengan Algoritma Brute Force pada Validasi Suatu Teksâ€. STEI Institut Teknologi Bandung.
S. O. P. S. M. B. A. B. Siddhi Pardeshi, “A Survey on Different Algorithms Used in Chatbot,†International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 5, pp. 6092-6098, 2020.
R. A. E. A. R Devakunchari, “A Survey of Chatbot design Technique,†International Journal of Engineering and Advanced Technology (IJEAT), vol. 8, no. 2S2, pp. 35-39, 2019.
Dewi, A. & Setiaji, B. 2014. “Pemanfaatan Sentence Similarity Measurement untuk Proses Pencarian Pola pada Chatbot Berbasis Pattern-Matching,†Seminar Nasional Teknologi Informasi dan Multimedia 2014, ISSN : 2302-3805.
Ruspandi R, et.all. 2017.†Rancang Bangun Chatbot Helpdesk untuk Sistem Informasi Terpadu Universitas Sam Ratulangiâ€. E-Journal Teknik Informatika, vol.11, no.1.
Rahmawati, Fiyna, Muhammad Fachrurrozi, And Nabila Rizky Oktadini. Pengembangan Chatbot Telegram Untuk Setoran Sholawat Menggunakan Pattern Matching. Diss. Sriwijaya University, 2022.
Aditama, Kevin. "Pemanfaatan Natural Language Processing Dan Pattern Matching Dalam Pembelajaran Melalui Guru Virtual." Elkom: Jurnal Elektronika dan Komputer 13.1 (2020): 121-133.
Prof.Dr.Suryana,M.Si, 2010. “Metodologi Penelitian, Model Praktis Penelitian kuantitatif dan Kualitatifâ€. Universitas Pendidikan Indonesia
Abubakar, Rifai. 2021.â€Pengantar Metodologi Penelitianâ€. Suka Press UIN Sunan Kalijaga.
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