Pengembangan Aplikasi Chatbot Telegram Menggunakan Framework Rasa untuk Pelayanan Administrasi di Perguruan Tinggi Universitas Stikubank
DOI:
https://doi.org/10.35870/jtik.v8i1.1370Keywords:
Chatbot, Telegram, Rasa Open Source, Layanan AdministrasiAbstract
The administrative services in universities are currently still conventional, resulting in many difficulties due to the mismatched time. For this research, a Telegram chatbot application will be developed to provide various answers to administrative inquiries in universities automatically. The chatbot application will be developed using the Rasa Open Source framework. This research collects data from several frequently asked questions by students and prospective students to the Biro Administrasi Akademik dan Kemahasiswaan (BAAK) as the initial data for the chatbot application. From this data, it will be transformed into Natural Language Understanding (NLU) and dialogue data. The number of NLU sentence examples is 213, and there are 27 dialogue examples. As a result, the chatbot application can understand user inquiries well, but it experiences some errors in generating dialogue responses.
Downloads
References
Hanif, Z.M., 2021. Pengembangan Aplikasi Whatsapp Chatbot Untuk Pelayanan Akademik Di Perguruan Tinggi. URL: https://dspace.uii.ac.id/handle/123456789/37445.
Cucus, A., Endra, R.Y. and Naralita, T., 2019. Chatter bot untuk konsultasi akademik di perguruan tinggi. Explore: Jurnal Sistem informasi dan telematika (Telekomunikasi, Multimedia dan Informatika), 10(1).
Zubaidi, A. and Ramdani, R., 2019. Layanan Dan Informasi Akademik Berbasis Bot Telegram Di Program Studi Teknik Informatika Universitas Mataram. Jurnal Teknologi Informasi, Komputer, Dan Aplikasinya (JTIKA), 1(1), pp.103-110. DOI: https://doi.org/10.29303/jtika.v1i1.27.
Bariyah, S.H. and Imania, K.A.N., 2022. Pengembangan Virtual Assistant Chatbot Berbasis Whatsapp Pada Pusat Layanan Informasi Mahasiswa Institut Pendidikan Indonesia-Garut. J. Petik, 8(1), pp.66-79.
Ruindungan, D.G. and Jacobus, A., 2021. Chatbot Development for an Interactive Academic Information Services using the Rasa Open Source Framework. Jurnal Teknik Elektro dan Komputer, 10(1), pp.61-68. DOI: https://doi.org/10.35793/jtek.v10i1.31150.
Guntoro, G., Costaner, L. and Lisnawita, L., 2020. Aplikasi chatbot untuk layanan informasi dan akademik kampus berbasis artificial intelligence markup language (AIML). Digital Zone: Jurnal Teknologi Informasi Dan Komunikasi, 11(2), pp.291-300. DOI: https://doi.org/10.31849/digitalzone.v11i2.5049.
Anindyati, L., 2023. Analisis dan Perancangan Aplikasi Chatbot Menggunakan Framework Rasa dan Sistem Informasi Pemeliharaan Aplikasi (Studi Kasus: Chatbot Penerimaan Mahasiswa Baru Politeknik Astra). Jurnal Teknologi Informasi Dan Ilmu Komputer (Jtiik), 10(2), pp.291-300.
Jumardi, R., Farokhah, L. and Maghfirah, M., 2020. Kolaborasi Digital Signage dan Chatbot Messenger Sebagai Layanan Penyedia Informasi Akademik. Jurnal Media Informatika Budidarma, 4(2), pp.347-354. DOI: http://dx.doi.org/10.30865/mib.v4i2.2061.
Itonsaputri, M.Z., Saputra, R.E. and Nugrahaeni, R.A., 2023. Implementasi Rasa Pada Chatbot Layanan Akademik. eProceedings of Engineering, 10(1).
Sholeh, M.S., 2020. Aplikasi Chatbot untuk Pengajuan Proses Pemesanan Surat di Fakultas Teknologi Industri Universitas Islam Indonesia (Tugas Akhir, Universitas Islam Indonesia).
Arthana, I.K.R., Dewi, L.J.E., Seputra, K.A. and Marti, N.W., 2021. Undiksha Virtual Assistant (Shavira): Integration Frequency Asked Question with Rasa Framework. JST (Jurnal Sains Dan Teknologi), 10(2), pp.264-273. DOI: https://doi.org/10.23887/jstundiksha.v10i2.39863.
Pradana, Z.H., Nafi'ah, H. and Rochmanto, R.A., 2022. Chatbot-based Information Service using RASA Open-SourceFrameworkin Prambanan Temple Tourism Object. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 6(4), pp.656-662. DOI: https://doi.org/10.29207/resti.v6i4.3913.
Sholahuddin, M.R. and Atqiya, F., 2021. Sistem Tanya Jawab Konsultasi Shalat Berbasis RASA Natural Language Understanding (NLU). Jurnal Pendidikan Multimedia (Edsence), 3(2), pp.93-102. DOI: https://doi.org/10.17509/edsence.v3i2.38732
Rifai, M., 2020. Rancangan Dan Implementasi Telegram Chatbot Untuk Informasi Akademik Dengan Dialogflow (Skripsi, STMIK Akakom Yogyakarta).
Aziza, R.N., Ardanti, T.S., Yosrita, E. and Ningrum, R.F., 2022. Pembangunan Aplikasi Chatbot Informasi Akademik berbasis Cosine Similarity dan Library Sastrawi Stemmer (Studi Kasus: Teknik Informatika IT PLN). PROSIDING-SNEKTI, 3.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Miftahul Rizki Al Fajri, Budi Hartono

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
