Chatbot Website Development for the Bina Darma Campus
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Abstract
The Bina Darma Campus has experienced rapid growth in recent years, resulting in increased complexity in managing various aspects of campus life. One of the problems that arises is the increase in demand for information services and assistance for students. To overcome this challenge, developing a chatbot website is the solution. Chatbots can increase efficiency in providing information and better interaction experiences to users. This research aims to develop a chatbot website that can be used by the Bina Darma Campus. This chatbot is designed to provide information about class schedules, campus facilities, administrative procedures, and other general questions frequently asked by users. The methodology used is the spiral method, which consists of 5 stages, namely planning, analysis, design, implementation, and testing. Then, the chatbot was developed by applying natural language processing technology and integrated with the campus information system. After that, a chatbot trial was carried out with the participation of students. Statistical analysis is used to interpret research results. The research results show that the development of a chatbot website for the Bina Darma Campus was successfully implemented efficiently. Chatbots are able to provide fast and accurate responses to user questions, which then results in a high level of user satisfaction with the experience of interacting with the chatbot. Apart from that, chatbots have also succeeded in reducing the workload of administrative staff in providing routine information to users. These findings indicate that chatbots have the potential to improve the overall efficiency of campus services.
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[2] M. R. Jhaerol and S. Sudianto, “Implementation of Chatbot for Merdeka Belajar Kampus Merdeka Program using Long Short-Term Memory,” j. nas. pendidik. teknik. inform, vol. 12, no. 2, pp. 253–262, 2023.
[3] S. Al Fakhri, H. U. Lutfi, W. K. Wardana, G. Munawar, and B. Wisnuadhi, “Aplikasi chatbot informasi Kampus Polban menggunakan aplikasi LINE Messenger,” in Prosiding Industrial Research Workshop and National Seminar, 2019, pp. 302–313.
[4] S. Mulyatun, H. Utama, and A. Mustopa, “Pendekatan Natural Language Processing Pada Aplikasi Chatbot Sebagai Alat Bantu Customer Service,” Journal of Information System Management (JOISM), vol. 2, no. 2, pp. 12–17, 2021.
[5] H. Herwin and K. Andesa, “Super agent chatbot ‘3s’ sebagai media informasi menggunakan metoda natural language processing (NLP),” Jurnal Teknologi Dan Open Source, vol. 2, no. 1, pp. 53–64, 2019.
[6] A. Muhyidin, “Pengembangan Media Komunikasi Kehumasan Berbasis Chatbot ‘Unysa’ Sebagai Layanan Informasi Tentang Universitas Negeri Yogyakarta,” Jurnal Elektronik Pendidikan Teknik Informatika Volume... Nomor... Tahun, p. 2, 2019.
[7] A. A. Chandra, V. Nathaniel, F. R. Satura, and F. D. Adhinata, “Pengembangan Chatbot Informasi Mahasiswa Berbasis Telegram dengan Metode Natural Language Processing,” Journal ICTEE, vol. 3, no. 1, pp. 20–27, 2022.
[8] Y. R. P. Inggrid, I. Yahdi, and Z. R. Rifki, “Rancang bangun fitur chatbot pada website Politeknik Masamy Internasional,” Software Development, Digital Business Intelligence, and Computer Engineering, vol. 1, no. 1, pp. 22–27, 2022.
[9] R. A. Sekarwati, A. Sururi, R. Rakhmat, M. Arifin, and A. Wibowo, “Survei Metode Pengukuran Aplikasi Chatbot Berbasis Media Sosial,” Gema Teknologi, vol. 21, no. 2, pp. 67–73, 2021.
[10] K. Puspita, Y. Alkhalifi, and H. Basri, “Rancang Bangun Sistem Informasi Penerimaan Peserta Didik Baru Berbasis Website Dengan Metode Spiral,” Paradigma, vol. 23, no. 1, pp. 35–42, 2021.
[11] R. A. Sekarwati, A. Sururi, R. Rakhmat, M. Arifin, and A. Wibowo, “Survey of Chatbot Testing Methods on Social Media to Measure Accuracy,” SISFOTENIKA, vol. 11, no. 2, pp. 172–182, 2021.