Perancangan Chatbot di Universitas Proklamasi 45

Lukman Hakim, Sapriani Gustina, Shela Fadila Putri, Sri Ulfa Faudiah

Abstract


Customer Support is a person who serves prospective student questions appropriately and quickly. However, the conventional Customer Support requires high operating costs and has limited working hours. Moreover, in busy times, sometimes Customer Support is slow in responding to questions. In this study, a Chatbot system will be built to answer basic questions from prospective students, so it can improve the efficiency and effectiveness of Customer Support work at the Proklamasi 45 University. The more complex questions will still be directed to conventional Customer Support by the system. The Chatbot system in this study was built using the waterfall method, which consists of the requirements specification, design, implementation, testing, and implementation stages. The intent recognition will be performed using the StarSpace algorithm and Count Vectorizer by the Chatbot System. The frequency of occurrence of words in a sentence will be a reference to determine the purpose of a sentence. Testing is performed by Black box method by sending questions and evaluating the responses given by the system. The test results show that the Chatbot can provide answers with an accuracy of 97.75%. So it can be concluded that the Chatbot system can substitute the role of Customer Support. Accuracy can be improved by adding more data variations to the training data


Keywords


Chatbot; Natural Language Processing; StarSpace

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References


Eka Yuniar, & Heri Purnomo. (2019). Implementasi Chatbot “Alitta” Asisten Virtual Dari Balittas Sebagai Pusat Informasi Di Balittas. Antivirus : Jurnal Ilmiah Teknik Informatika, 13(1), 24–35

Eshan, S. C., & Hasan, M. S. (2018). An application of machine learning to detect abusive Bengali text, 2017 20th International Conference of Computer and Information Technology (ICCIT) (pp. 1-6), Dhaka:IEEE.

Giastanti, M., Hamim, H., & Pratiwi, N. M. I. (2018). Pengaruh Pelayanan Customer Service Terhadap Peningkatan Citra Perusahaan: Studi Korelasional Pada Pt. Ace Hardware Indonesia, Tbk. Di Lenmarc Mall Surabaya. Representamen, 3(02),1-7.

Junipher Research. (2019). Bank Cost Savings Via Chatbots to Reach $7.3 Billion By 2023, As Automated Customer Experience Evolves. Diambil dari https://www.juniperresearch.com/press/press-releases/bank-cost-savings-via-chatbots-reach-7-3bn-2023

Rahma, A. D., Imamah, F., Andre, Y. M., & Ardiansyah. (2018). Aplikasi Chatbot (Milki Bot) Yang Terintegrasi Dengan Web CMS Untuk Customer Service Pada UKM MINSU. Jurnal Cendikia, XVI, 100–106.

Rahmat, A. (2018). Pengaruh Customer Relationship Management Terhadap Kepuasan Dan Loyalitas Pelanggan (Survei pada Pelanggan Service Kendaraan AUTO2000 Kediri Suharmadji). Jurnal Administrasi Bisnis, 64(1), 153-160.

Ranoliya, B. R., Raghuwanshi, N., & Singh, S. (2017). Chatbot for university related FAQs. 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, 2017-Janua, 1525–1530. https://doi.org/10.1109/ICACCI.2017.8126057 Ranoliya, B. R., Raghuwanshi, N., & Singh, S. (2017). Chatbot for university related FAQs. 2017 International Conference on Advances in Computing, Communications and Informatics (pp. 1525–1530), Udupi:IEEE.

Rusmarasy, B., Priyambadha, B., & Pradana, F. (2019). Pengembangan Chat Bot pada CoMa untuk Memberikan Motivasi Kepada Pengguna Menggunakan AIML. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(5), 4484–4490.

Sommerville, I. (2016). Software engineering (10th edition). In Pearson Education Limited. Essex. England.

Suryani, D., & Amalia, E. L. (2017). Aplikasi Chatbot Objek Wisata Jawa Timur Berbasis AIML. SMARTICS Journal, 3(2), 47–54.

Wallace, R. S. (2009). The anatomy of A.L.I.C.E. In Parsing the Turing Test: Philosophical and Methodological Issues in the Quest for the Thinking Computer (pp. 181–210). Dordrecht:Springer.

Wu, L., Fisch, A., Chopra, S., Adams, K., Bordes, A., & Weston, J. (2018). StarSpace: Embed all the things! 32nd AAAI Conference on Artificial Intelligence (pp. 5569–5577), California:AAAI.


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