Timeline reminder system bot and telegram assistant chatbot for a university student and lecturer
Main Article Content
Abstract
This research relates to the development of a chatbot application to help lecturers and students in the D3 Informatics Engineering study program remember schedules of activities and answer questions related to the study program. The background of this research is due to the difficulties of lecturers in managing activity schedules and answering questions that come from D3 Informatics Engineering study program students effectively and efficiently. This shows that having chatbot reminder and assistant applications will be very useful for study programs. The purpose of this research is to develop a bot and chatbot application that can help lecturers and students at Diploma 3 Informatics Engineering in managing activity schedules and answering questions related to study programs. The research method used is the Waterfall system development method, which is a type of System Development Life Cycle (SDLC). This method follows the sequential stages of system development starting from requirements analysis, system design, implementation, testing and maintenance. In this study, the chatbot application was developed using the Golang programming language, Codeigniter4 as the dashboard platform.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
N. Ramsari and A. Rifaldi, “RANCANG BANGUN APLIKASI PENJADWALAN KEGIATAN AKADEMIK DISERTAI SISTEM REMINDER BERBASIS RESPONSIVE WEB DESIGN,” J. Teknol. Inf. dan Komun., vol. 9, no. 1, 2018, [Online]. Available: http://jurnal.unnur.ac.id/index.php/jurnalfiki.
I. Handayani, Q. Aini, and Y. Oktavyanti, “PENGGUNAAN RINFOCAL SEBAGAI APLIKASI PENGINGAT ( REMINDER ) KEGIATAN AKADEMIK Perkembangan teknologi informasi memberikan pengaruh yang sangat besar di dalam kehidupan sehari-hari di sekitar dinding dan kalender meja , dan ada pula terdapat di ponsel . Pe,” vol. 9, no. 1, pp. 13–26, 2015.
A. P. Chaves and M. A. Gerosa, “How should my chatbot interact? a survey on social characteristics in human–chatbot interaction design.tle,” Int. J. Human–Computer Interact., vol. 37, no. 8, pp. 729–758, 2021, [Online]. Available: https://doi.org/10.1080/10447318.2020.1841438.
E. Nila and I. Afrianto, “Rancang Bangun Aplikasi Chatbot Informasi Objek Wisata Kota Bandung dengan Pendekatan Natural Language Processing,” J. Ilm. Komput. dan Inform., vol. 4, p. 6, 2015.
M. Sharma, S. Verma, and L. Sahni, “Comparative Analysis of Chatbots,” SSRN Electron. J., 2020, doi: 10.2139/ssrn.3563674.
S. Hwang and J. Kim, “Toward a Chatbot for Financial Sustainability,” Sustainability, vol. 13, no. 6, 2021, doi: 10.3390/su13063173.
T. Um, T. Kim, and N. Chung, “How does an Intelligence Chatbot Affect Customers Compared with Self-Service Technology for Sustainable Services?,” Sustainability, vol. 12, no. 12, 2020, doi: 10.3390/su12125119.
S. Khan and M. R. Rabbani, “Chatbot as Islamic Finance Expert (CaIFE): When Finance Meets Artificial Intelligence,” 2021, doi: 10.1145/3440084.3441213.
M. Carisi, A. Albarelli, and F. L. Luccio, “Design and Implementation of an Airport Chatbot,” in Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019, pp. 49–54, doi: 10.1145/3342428.3342664.
F. P. Putri, H. Meidia, and D. Gunawan, “Designing Intelligent Personalized Chatbot for Hotel Services,” in Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence, 2020, pp. 468–472, doi: 10.1145/3377713.3377791.
C. Frommert, A. Häfner, J. Friedrich, and C. Zinke, “Using chatbots to assist communication in collaborative networks,” in Collaborative Networks of Cognitive Systems: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings 19, 2018, pp. 257–265.
A.-A. Georgescu, “Chatbots for education--trends, benefits and challenges,” in Conference proceedings of{guillemotright} eLearning and Software for Education {guillemotleft}(eLSE), 2018, vol. 14, no. 02, pp. 195–200.
C. Zhai and S. Wibowo, “A systematic review on cross-culture, humor and empathy dimensions in conversational chatbots: the case of second language acquisition,” Heliyon, vol. 8, no. 12, p. e12056, 2022, doi: 10.1016/j.heliyon.2022.e12056.
S. H. Mad Daud, “e-JAVA Chatbot for Learning Programming Language: A Post-Pandemic Alternative Virtual Tutor,” Int. J. Emerg. Trends Eng. Res., vol. 8, no. 7, pp. 3290–3298, 2020, doi: 10.30534/ijeter/2020/67872020.
A. Balderas, R. F. García-Mena, M. Huerta, N. Mora, and J. M. Dodero, “Chatbot for communicating with university students in emergency situation,” Heliyon, vol. 9, no. 9, p. e19517, 2023, doi: 10.1016/j.heliyon.2023.e19517.
D. Lee and S. Yeo, “Developing an AI-based chatbot for practicing responsive teaching in mathematics,” Comput. Educ., vol. 191, p. 104646, Dec. 2022, doi: 10.1016/J.COMPEDU.2022.104646.
M. Ismail and A. Ade-Ibijola, “Lecturer’s Apprentice: A Chatbot for Assisting Novice Programmers,” 2019 Int. Multidiscip. Inf. Technol. Eng. Conf. (IMITEC), Vanderbijlpark, South Africa, 2019, doi: 10.1109/IMITEC45504.2019.9015857.
K. Yoshino, “Dialogue system technology challenge: From dialogue state tracking to dialogue system technology in real world,” J. Acoust. Soc. JAPAN, vol. 79, no. 9, pp. 477–483, 2023, doi: 10.20697/jasj.79.9_477.
A. Meloni, S. Angioni, A. Salatino, F. Osborne, D. Reforgiato Recupero, and E. Motta, “Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain,” IEEE Access, vol. 11, no. March, pp. 22468–22489, 2023, doi: 10.1109/ACCESS.2023.3253388.
C. I. Maican, A. M. Cazan, R. C. Lixandroiu, and L. Dovleac, “A study on academic staff personality and technology acceptance: The case of communication and collaboration applications,” Comput. Educ., vol. 128, no. March 2018, pp. 113–131, 2019, doi: 10.1016/j.compedu.2018.09.010.
E. Adamopoulou and L. Moussiades, “Chatbots: History, technology, and applications,” Mach. Learn. with Appl., vol. 2, no. July, p. 100006, 2020, doi: 10.1016/j.mlwa.2020.100006.
S. Chng, J. Plananska, and L. Cheah, “Comparison of travel attitude study methods using online tools: The case of understanding public acceptance of autonomous vehicles,” Transp. Res. Interdiscip. Perspect., vol. 20, p. 100847, Jul. 2023, doi: 10.1016/J.TRIP.2023.100847.