Main Article Content
Abstract
The academic information services at the Faculty of Engineering, Hamzanwadi University currently still rely on manual methods that require considerable time and effort, especially in answering repetitive questions. Therefore, this study proposes the use of an artificial intelligence-based chatbot to provide academic information automatically through the WhatsApp platform. This chatbot system is built using the n8n platform for workflow automation and Gemini AI for natural language processing (NLP), enabling it to understand and provide relevant answers to students' questions. In this study, the system was tested through a series of trials to evaluate the effectiveness of the chatbot in delivering academic information services, such as academic schedules, course registration (KRS), and other related information. The results showed that the implementation of this chatbot can improve the efficiency of academic services by providing fast and accurate responses, as well as reducing the workload of administrative staff.
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References
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References
Afandi, A. R., & Kurnia, H. (2023). Revolusi Teknologi: Masa Depan Kecerdasan Buatan (AI) dan Dampaknya Terhadap Masyarakat. Academy of Social Science and Global Citizenship Journal, 3(1), 9–13. https://doi.org/10.47200/aossagcj.v3i1.1837
Davar, N. F., Dewan, M. A. A., & Zhang, X. (2025). AI Chatbots in Education: Challenges and Opportunities. In Information (Switzerland) (Vol. 16, Number 3). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/info16030235
Hanitha, V., Angreni, T., Hendra, H., Listens, G., & Hidayat, A. (2024). Analisis Kualitas Layanan Akademik Terhadap Kepuasan Mahasiswa Di Sekolah Tinggi Ekonomi Syariah Tunas Palapa. ECo-Fin: Economics and Financial, 6(1), 65–73. https://doi.org/10.32877/ef.v6i1.1143
Haqiqi, R., Fourniawan, A., Eviyanti, A., & Busono, S. (2024). Pengembangan Artificial Intelligence Berupa Virtual Assistant Mobile Menggunakan Framework Flutter. Jurnal TEKINKOM, 7(1), 53–61. https://doi.org/10.37600/tekinkom.v7i1.1169
Harianto, H., Aziz, A., & Hamdi, M. (2024). Penerapan Sistem Informasi Untuk Identifikasi Literasi Pada Siswa Disabilitas Taman Kanak-Kanak Dan Siswa Sekolah Dasar. Infotek: Jurnal Informatika Dan Teknologi, 7(1), 176–184. https://doi.org/10.29408/jit.v7i1.24288
Husain, M. L., Wibisono, Y., & Anisyah, A. (2025). Development of an Academic Services Chatbot Based on Retrieval-Augmented Generation (RAG). Brilliance: Research of Artificial Intelligence, 5(2), 727–735. https://doi.org/10.47709/brilliance.v5i2.6719
Kurniawan, H., Apriliah, W., Kurnia, I., & Firmansyah, D. (2021). Penerapan Metode Waterfall Dalam Perancangan Sistem Informasi Penggajian Pada Smk Bina Karya Karawang. Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 14(4), 13–23. https://doi.org/10.35969/interkom.v14i4.78
Ndunagu, J. N., Ezeanya, C. U., Onuorah, B. O., Onyeakazi, J. C., & Ukwandu, E. (2025). A Chatbot Student Support System in Open and Distance Learning Institutions. Computers, 14(3). https://doi.org/10.3390/computers14030096
Nurwanda, N., Suarna, N., & Prihartono, W. (2024). Penerapan Nlp (Natural Language Processing) Dalam Analisis Sentimen Pengguna Telegram Di Playstore. JATI (Jurnal Mahasiswa Teknik Informatika), 8(2), 1841–1846. https://doi.org/10.36040/jati.v8i2.8469
Oliveira, P. F., & Matos, P. (2023). Introducing a Chatbot to the Web Portal of a Higher Education Institution to Enhance Student Interaction. Engineering Proceedings, 56(1). https://doi.org/10.3390/ASEC2023-16621
Rahmawati, H., & Sudrajat, A. (2025). Implementasi Chatbot Pada Penerimaan Mahasiswa Baru Di Politeknik TEDC Bandung Menggunakan Natural Language Processing. JITET (Jurnal Informatika Dan Teknik Elektro Terapan), 13(1), 1–13. https://doi.org/10.23960/jitet.v13i1.5456
Sudianto, A., Bahtiar, H., Wajdi, Muh. F., & Mahpuz, M. (2023). Penerapan Aplikasi Merdeka Belajar Kampus Merdeka (MBKM) Sebagai Upaya Peningkatan Kualitas Perguruan Tinggi. Infotek: Jurnal Informatika Dan Teknologi, 6(2), 421–430. https://doi.org/10.29408/jit.v6i2.17183.