Chatbot Layanan Akademik Menggunakan K-Nearest Neighbor

Main Article Content

Kristian Adi Nugraha
Danny Sebastian

Abstract

Perusahaan atau institusi yang bergerak di bidang pelayanan publik pasti memiliki layanan customer service untuk menjawab pertanyaan dari konsumen. Namun perusahaan atau institusi dengan skala menengah ke bawah seringkali tidak sanggup untuk menyediakan karyawan khusus untuk menangani pekerjaan tersebut, sehingga pekerjaan tersebut dirangkap oleh karyawan di posisi lain. Chatbot dapat digunakan untuk menyelesaikan permasalahan yang berkaitan dengan layanan tanya jawab, khususnya bagi perusahaan atau institusi yang tidak memiliki sumber daya khusus untuk menangani pekerjaan tersebut. Dengan adanya chatbot, pertanyaan-pertanyaan konsumen yang bersifat redundan dapat ditangani secara otomatis.  Pada penelitian ini, penulis membangun sistem chatbot untuk layanan tanya jawab seputar kegiatan akademik dengan menggunakan metode K-Nearest Neighbor. Berdasarkan hasil pengujian yang telah dilakukan, sistem dapat memberikan nilai akurasi sebesar 53.48% untuk nilai K = 3.

Article Details

Section
Articles

References

S. A. Abdul-Kader and J. Woods, "Survey on Chatbot Design Techniques in Speech Conversation Systems," International Journal of Advanced Computer Science and Applications, vol. 6, no. 7, pp. 72-80, 2015.
J. R. Hill, W. R. Ford and I. Farreras, "Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations," Computers in Human Behavior , vol. 49, pp. 245-250, 2015.
A. Xu, Z. Liu, Y. Guo, V. Sinha and R. Akkiraju, "A New Chatbot for Customer Service on Social Media," in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, 2017.
K. A. Nugraha, "Deteksi Area Parkir Mobil Berbasis Marker Menggunakan Moment Invariants dan K-NN," Jurnal Teknik Informatika dan Sistem Informasi, vol. 5, no. 1, pp. 112-121, 2019.
N. Albayrak, A. Özdemir and E. Zeydan, "An overview of artificial intelligence based chatbots and an example chatbot application," in 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2018.
D. Sawant, A. Jaiswal, J. Singh and P. Shah, "AgriBot - An intelligent interactive interface to assist farmers in agricultural activities," in 2019 IEEE Bombay Section Signature Conference (IBSSC), Mumbai, India, 2019.
P. Muangkammuen, N. Intiruk and K. R. Saikaew, "Automated Thai-FAQ Chatbot using RNN-LSTM," in 2018 22nd International Computer Science and Engineering Conference (ICSEC), Chiang Mai, Thailand, 2018.
T. Jo, "Using K Nearest Neighbors for text segmentation with feature similarity," in 2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE), Khartoum, Sudan, 2017.
R. Pandit and S. K. Naskar, "A memory based approach to word sense disambiguation in Bengali using k-NN method," in 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS), Kolkata, India, 2015.
Z. Zong and C. Hong, "On Application of Natural Language Processing in Machine Translation," in 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE), Huhhot, China, 2018.
N. Albayrak, A. Özdemir and E. Zeydan, "An overview of artificial intelligence based chatbots and an example chatbot application," in 2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2018.
K. A. Nugraha and D. Sebastian, "Pembentukan Dataset Topik Kata Bahasa Indonesia pada Twitter Menggunakan TF-IDF & Cosine Similarity," Jurnal Teknik Informatika dan Sistem Informasi, vol. 4, no. 3, pp. 376-386, December 2018.
D. Sebastian and K. A. Nugraha, "Text normalization for indonesian abbreviated word using crowdsourcing method," in 2019 International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, 2019.
Y. Udovychenko, A. Popov and I. Chaikovsky, "Ischemic heart disease recognition by k-NN classification of current density distribution maps," in 2015 IEEE 35th International Conference on Electronics and Nanotechnology (ELNANO), Kiev, Ukraine, 2015.
L. Li, Y. Yu, S. Bai, Y. Hou and X. Chen, "An Effective Two-Step Intrusion Detection Approach Based on Binary Classification and k -NN," IEEE Access, vol. 6, pp. 12060 - 12073, 2017.
A. Navlani, "KNN Classification using Scikit-learn," 2 Agustus 2018. [Online]. Available: https://www.datacamp.com/community/tutorials/k-nearest-neighbor-classification-scikit-learn. [Accessed 17 Maret 2021].
K. A. Nugraha and D. Sebastian, "Analisis Trend Akun Media Sosial Twitter Menggunakan TF-IDF dan Cosine Similarity," in Prosiding Nasional Rekayasa Teknologi Industri dan Informasi XIII, 2018.
P. Dangeti, "Cosine similarity," O'Reilly, [Online]. Available: https://www.oreilly.com/library/view/statistics-for-machine/9781788295758/eb9cd609-e44a-40a2-9c3a-f16fc4f5289a.xhtml. [Accessed 17 Maret 2021].